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Overseeing small group; Train and assist staff", "projectManagementSkills" : [ "Project meetings", "Project work monitoring", "Project work guidance", "Project assignments" ], "domainKnowledge" : "Regulatory agency guidelines; Study types; Analysis procedures; Methodologies", "domainList" : [ "regulatory-agency-guidelines", "study-types", "analysis-procedures", "methodologies" ], "domainSpecificKnowledge" : [ "Regulatory agency guidelines", "Study types", "Analysis procedures", "Methodologies" ], "communicationSkills" : "Verbal communication; Written communication; Presentation skills; Interpersonal skills; Communicating technical information", "documentationSkills" : "Study documentation; Laboratory records; Method documentation; SOPs; Reports; Protocols", "innovationCreativity" : "Process improvement initiatives; Modifications to test methods; Modifications to procedures", "problemSolvingSkills" : "Problem identification; Problem resolution; Deviation management", "qualificationsBasic" : "Bachelor of Science in Analytical Chemistry/Immunologyiochemistry, 4 years or more experience with use and troubleshooting of analytical equipment", "qualificationsPreferred" : "2 years or more experience designing and independently conduct tests for chemistry projects, 1 year or more hands-on experience with cell-based assays flow cytometry (FACS), 1 year or more hands-on experience with qPCR techniques", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "**Assoc. Principal Investigator/ Senior Scientist - Immunochemistry** Labcorp is seeking an **Assoc. Principal Investigator/ Senior Scientist** to join our team in **Singapore.** **Job Responsibilities:** * Serves as a Study Director / Principal Investigator / Responsible Scientist for research studies. Take on overall responsibility for the technical conduct of a study, analytical direction, review, documentation and reporting of results. All activities are conducted in compliance with appropriate SOPs and regulatory agency guidelines. * Analyzes biological or chemical samples and/or develops/validates methodologies for various compounds and components in compliance with appropriate SOPs and regulatory agency guidelines. * Documents work and maintains study documentation and laboratory records. * Independently sets up, maintains, operates and performs routine and non-routine maintenance on general equipment, including problem identification and resolution. * Informs project management and/or line management of any problems and/or deviations that may affect the integrity of the data and recommends corrective action. * Promotes a cohesive team environment. * Suggests and performs modifications to test methods or procedures where precedence exists. * Provides input and participates in project meetings, plans, monitors and guides project work. * Serves as lead chemist on projects, overseeing a small group of technical staff, with minimal supervision. * Host/participate in external client meetings. * Sets up and performs method development and validation of various analytes in a variety of matrices with limited supervision. * Organizes, conducts and evaluates analytical results and testing. * Performs QC review of data. * Maintains a clean and safe laboratory work environment. * Performs other related duties as assigned. * Trains and assists less experienced staff. * Participates in process improvement initiatives. * Writes, revises and reviews methods, SOPs and portions of reports and protocols. * Participates in client visits as needed, assists in communicating technical information. * Effectively plans and utilizes personnel and resources for timely completion of assigned projects. * Assists in evaluation of data for incorporation into written reports. **Minimum Qualifications:** * Bachelor of Science in Analytical Chemistry/Immunology/Biochemistry * 4 years or more experience with use and troubleshooting of analytical equipment. **Preferred Qualifications:** * 2 years or more experience designing and independently conduct tests for chemistry projects and provide initial analysis of results. * 1 year or more hands-on experience with cell-based assays flow cytometry (FACS), and qPCR techniques. **Additional Job Standards:** * Demonstrated ability to understand and helps staff with compliance to SOPs and other regulatory agency guidelines. * Knowledgeable on a variety of study types, analysis procedures and methodologies. * Effective communication (verbal and written), presentation and interpersonal skills. * Effectively interacts with internal and/or external clients. * Ability to assist in the preparation of relevant sections of final reports. * Ability to effectively schedule resources. * Ability to identify process improvement opportunities, recommends solutions and implements action plans. * Proven experience acting as technical resource for the department (trouble shooting, method development, qualification, maintenance and training). * Proven experience evaluating data for incorporation into written reports. * Proven experience acting as a project leader. * Advanced time management skills to complete project assignments on time, with minimal or no supervision. At Labcorp we have a passion for helping people live happy and healthy lives. Every day we provide vital information that helps our clients and patients understand their health. If you are passionate about helping people and have a drive for service, then Labcorp could be a great next career step! **Labcorp is proud to be an Equal Opportunity Employer:** Labcorp strives for inclusion and belonging in the workforce and does not tolerate harassment or discrimination of any kind. We make employment decisions based on the needs of our business and the qualifications and merit of the individual. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), family or parental status, marital, civil union or domestic partnership status, sexual orientation, gender identity, gender expression, personal appearance, age, veteran status, disability, genetic information, or any other legally protected characteristic. Additionally, all qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law. **We encourage all to apply** If you are an individual with a disability who needs assistance using our online tools to search and apply for jobs, or needs an accommodation, please visit our [accessibility site](https://careers.labcorp.com/global/en/accessibility) or contact us at [Labcorp Accessibility.](mailto:Disability_apply@LabCorp.com) For more information about how we collect and store your personal data, please see our [Privacy Statement](https://www.labcorp.com/about/web-privacy-policy).", "summaryDescription" : "Assoc. Principal Investigator/ Senior Scientist- Immunochemistry at Labcorp. Skills: Immunochemistry, Analytical chemistry, Method validation. Serve as Study Director. Serve as Principal Investigator", "postedDate" : "2026-06-03T15:51:37.486", "createdAt" : "2026-06-04T15:51:37.476", "lastUpdated" : "2026-06-05T07:23:39.078", "ingestTimestamp" : "2026-06-04T15:51:37.476", "mongoId" : "6a21535974d8ee00a0bd4e26", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://labcorp.wd1.myworkdayjobs.com/External/job/Singapore/Assoc-Principal-Investigator--Senior-Scientist--Immunochemistry_2619251", "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Analytical equipment troubleshooting", "Method development", "Method validation", "Data evaluation", "Process improvement", "Immunochemistry", "Analytical chemistry", "Project meetings", "Project work monitoring", "Project work guidance", "Project assignments", "Regulatory agency guidelines", "Study types", "Analysis procedures", "Methodologies" ], "skillCount" : 15, "jobCategory" : "engineering", "seniorityLevel" : "senior", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare" }, { "id" : "6a307fa4f292fd229c05ba87", "title" : "Principal Investigator MD/DO", "company" : "Headlands Research", "industry" : "Healthcare", "salary" : { "min" : 100000.0, "max" : 150000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "San Diego, California, United States", "locations" : [ "San Diego", "California", "United States" ], "timestamp" : "2026-06-16T11:51:09.334", "fingerprint" : "e89683df9995ea6dc7fdbaa1a207514301d4f0d7f87cc9c8fe4874decd691b0a", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/headlandsresearch/jobs/4283848009", "externalId" : "4283848009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Diego", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "32.7174202,-117.1627720" } ], "locationText" : "San Diego, California, United States", "remoteFriendly" : false, "rawDescription" : "At Headlands Research, we are dedicated to enhancing clinical trial delivery within our communities. As a leading network of advanced clinical trial sites, we leverage cutting-edge technology and exceptional support services to broaden outreach and participation. Founded in 2018, our rapidly growing company currently operates 20+ sites across the US and Canada, with plans for further expansion. Join Us in Improving Lives through Clinical Research At Headlands Research, we're not just building a clinical trial network; we are working to bring clinical trials to underserved communities and treatments to market. Picture this: an exceptional family of next-generation clinical trial sites, where cutting-edge technology meets unparalleled support services, and participant engagement reaches new heights. Established in 2018, we've rapidly grown to operate 20+ clinical trial sites across the US and Canada, with ambitious plans for expansion on the horizon. Championing Diversity in Clinical Trials Diversity isn't just a checkbox for us—it's central to our mission. We're committed to advancing medical science by promoting diversity in every facet of clinical trial research. From our team composition to participant demographics, inclusivity is at the heart of everything we do. The Role of a Lifetime Are you ready to make a difference? We're seeking an experienced physician to help us grow our clinical research site at Artemis Institute for Clinical Research in San Diego, CA. Why Join Us? Flexible Schedule: Work on your terms, with a schedule that fits your life. Dynamic Team Environment: You'll help Headlands Research continue to build a diverse and talented team of clinical research coordinators, research assistants, physicians, advanced providers, and patient recruitment specialists. With ample support and a culture of collaboration, you'll thrive in an environment where your contributions truly make a difference. A high level of professionalism is a key differentiator at Headlands. Responsibilities: Lead and oversee clinical trials conducted at Headlands Research sites, ensuring compliance with protocol requirements, regulatory standards, and ethical guidelines. Provide leadership and mentorship to site staff, fostering a culture of inclusivity, diversity, and professionalism within the research team. Participate in investigator meetings and educational initiatives to stay updated on advancements in clinical research and diversity initiatives. Obtain IRB approval for study initiation and any protocol modifications. Oversee subject safety, trial conduct compliance, and the informed consent process. Communicate effectively with stakeholders including sponsors, monitors, regulators, and research network leadership. Provide ongoing training and support to research staff. Requirements: Previous experience as a Principal Investigator or Sub-Investigator for clinical research trials a huge plus, but willing to consider those without. Eligible for or active unencumbered license to practice as an MD or DO within the state of [[California]] required Must be board-certified or board-eligible. Excellent communication and leadership skills, with the ability to collaborate effectively with sponsors, research teams, and external stakeholders. Familiarity with regulatory requirements, Good Clinical Practice (GCP) guidelines, and industry best practices in clinical research. Strong organizational skills and attention to detail, with the ability to manage multiple projects simultaneously in a fast-paced environment. California Pay Range $100—$150 USD Headlands Research will never ask a candidate for personal identifiable information (date of birth, social security number, driver’s license information, etc) via email or messenger tools, or for a financial deposit of any kind. Headlands Research is an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, age, sex, national origin, disability status, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Need Assistance? Headlands Research is committed to providing access and reasonable accommodation in its employment for individuals with disabilities. To request disability accommodation in the application process, contact recruiting@headlandsresearch.com for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.", "summaryDescription" : "Principal Investigator MD/DO at Headlands Research", "postedDate" : "2026-06-16T01:19:27.292", "createdAt" : "2026-06-16T01:19:27.292", "lastUpdated" : "2026-06-16T11:51:09.334", "ingestTimestamp" : "2026-06-16T01:19:27.292", "mongoId" : "6a307fa4f292fd229c05ba87", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 100000, "salaryAnnualMax" : 150000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "healthcare", "jobSubcategory" : "support", "seniorityLevel" : "Lead", "dataQualityScore" : 0.6666667, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a306f13f292fd229cfe4e3e", "title" : "Sr Principal Data Scientist", "company" : "Smartsheet", "industry" : "Technology", "salary" : { "min" : 6000000.0, "max" : 9000000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Sr Principal Data Scientist in India, adjusted for executive seniority and SaaS industry." }, "location" : "India", "locations" : [ "India" ], "timestamp" : "2026-06-16T12:57:10.373", "fingerprint" : "a47fdd84f1abdd9a6c6bad7c3ae31c23d9dd31bbb39de2f4c75ee09115a7ad98", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/smartsheet/jobs/8007345", "externalId" : "8007345", "industryFunction" : { }, "structuredLocations" : [ { "country" : "India", "continent" : "as", "workMode" : "onsite" } ], "locationText" : "India", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : false, "rawDescription" : "For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. Smartsheet is looking for a Sr. Principal Data Scientist to set the technical direction for the ML models and AI sub-agents that drive growth, monetization, efficiency, and retention across the customer lifecycle. You’ll architect the systems, define the modeling and evaluation standards, and shape the roadmap for how Smartsheet uses applied ML and agentic AI to serve millions of customers. The data is unusually rich: petabyte-scale execution data spanning two decades of how real work gets done. You are a recognized technical leader who moves fluidly between architecture, prototype, and production; raises the bar for the data scientists around you; and partners with senior product and engineering leaders to make decisions that compound across the org. You will work primarily with Product and Engineering and will be a part of Smartsheet’s Business Intelligence team. This full-time position reports to the Director of Data Science and is based in Smartsheet’s Bengaluru, India office. You Will: Set the technical direction for how Smartsheet uses applied ML and agentic AI across the customer lifecycle — what gets built, what doesn’t, and what good looks like Architect the systems behind the sub-agents: how they ground themselves in evidence, how risk and confidence are calibrated, how decisions are evaluated, and how all of it stays safe and trustworthy at scale Define the modeling, evaluation, and experimentation standards the team follows — from offline metrics to online rollout to production monitoring Personally ship the highest-leverage models and sub-agents — the ones that need a senior IC to frame the problem, push through ambiguity, and de-risk the approach Drive technical decisions on the data foundations and knowledge layer sub-agents reason over, with strong stewardship of privacy, aggregation, and customer trust Partner with senior Product, Engineering, and Applied AI leaders to shape strategy, roadmap, and investment Raise the bar for the data science team — mentor staff and principal data scientists, review designs, set hiring standards, and grow the org’s modeling rigor You Have: Bachelor’s degree and 12+ years of experience (or 14+ years of experience); advanced degree in a quantitative field (Statistics, CS, ML, Economics, Operations Research, or similar) strongly preferred Track record of setting technical direction for applied ML and AI work that ships and matters — major initiatives, complex systems, or new modeling paradigms taken from idea to production impact Deep applied ML expertise across both traditional ML and deep learning: gradient boosting, regularized linear models, transformer-based sequence models, foundation model embeddings, causal ML, contextual bandits, and offline RL Architect-level grasp of agentic AI systems: tool use, retrieval, multi-step reasoning, evaluation, guardrails, and the patterns for keeping all of it reliable in production Strong grasp of causal inference for intervention design and lifecycle modeling: uplift modeling, difference-in-differences, propensity scoring, and synthetic control Solid foundation in statistics and experimental design at scale: hypothesis testing, power analysis, multiple comparisons, sequential testing, and quasi-experimental methods Experience operating ML in production at scale — feature engineering and pipelines, model monitoring, drift detection, retraining cadence, and the trade-offs between batch and real-time serving Proficient in SQL and Python; comfort with ML/LLM tooling at scale (Spark, Databricks, Snowflake, or equivalents), ML frameworks (PyTorch, scikit-learn, XGBoost/LightGBM), and visualization tools (Tableau or similar) Experience leading lifecycle modeling work — churn, expansion, adoption, plan health, lead/account scoring — and business fluency in the SaaS metrics that drive it (NRR, GRR, ARR, and cohort economics) A pragmatic production bar: latency, cost, monitoring, drift, hallucination, and what happens when the model or sub-agent is wrong Demonstrated ability to influence senior product and engineering leaders and to mentor staff and principal data scientists — your track record shows people and decisions, not just models, getting better Comfort operating in deep ambiguity — defining the problem, choosing the approach, and aligning the team when no playbook exists Get to Know Us: At Smartsheet, your ideas are heard, your potential is supported, and your contributions have real impact. You’ll have the freedom to explore, push boundaries, and grow beyond your role. We welcome diverse perspectives and nontraditional paths—because we know that impact comes from individuals who care deeply and challenge thoughtfully. When you’re doing work that stretches you, excites you, and connects you to something bigger, that’s magic at work. Let’s build what’s next, together. Equal Opportunity Employer: Smartsheet is an Equal Opportunity (EEO) employer committed to fostering an inclusive environment with the best employees. It is our policy to provide equal employment opportunities to all qualified applicants in accordance with applicable laws in the US, UK, Australia, Germany, Costa Rica, Japan, Bulgaria, and India. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information. If there are preparations we can make to help ensure you have a comfortable and positive interview experience, please let us know. #LI-Remote", "summaryDescription" : "Sr Principal Data Scientist at Smartsheet", "postedDate" : "2026-06-16T01:15:47.812", "createdAt" : "2026-06-16T01:15:47.812", "lastUpdated" : "2026-06-16T12:57:10.373", "ingestTimestamp" : "2026-06-16T01:15:47.812", "mongoId" : "6a306f13f292fd229cfe4e3e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Executive", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.98 }, { "id" : "69ec72e84c40e2acd1d0b66f", "title" : "Investigator", "company" : "Texas Workforce Commission", "industry" : "Government", "salary" : { "min" : 42000.0, "max" : 58000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level Investigator in El Paso, Texas, adjusted for government industry and full-time employment." }, "location" : "826948", "locations" : [ "826948", "
El Paso:1359 Lomaland Dr (320-4061) (320TX-4061)
1359 Lomaland Dr
Ste 300
El Paso, 79935-5201

" ], "timestamp" : "2026-06-16T00:37:23.704", "fingerprint" : "2e7519991fc412b3a086adc59db60b73d34a073f63820e774de3f032e7a59b64", "source" : "taleo", "language" : "en", "applyUrl" : "https://aa270.taleo.net/careersection/ex/jobdetail.ftl?job=34735", "externalId" : "34735", "industryFunction" : { }, "structuredLocations" : [ { "city" : "El Paso", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "31.7601001,-106.4870476" } ], "locationText" : "El Paso, Texas, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "professionalSkills" : [ "Customer service", "Problem solving" ], "hardSkillsList" : [ "Unemployment rules application", "Benefit eligibility determination" ], "hardSkills" : [ { "name" : "Unemployment rules application", "level" : "intermediate" }, { "name" : "Benefit eligibility determination", "level" : "intermediate" } ], "majorSkills" : "Investigative work, Unemployment claims", "majorSkillsList" : [ "Investigative work", "Unemployment claims" ], "coreResponsibilities" : "Conduct investigations, Review eligibility for unemployment benefits, Determine employer liability for reimbursement, Interview claimants and employers, Gather facts on claims, Enter fact finding statements, Review claimant requests for additional wages, Review claimant requests for wage deletions, Document determination rationale, Provide information on unemployment insurance claims, Provide information on claims processes, Provide information on claims requirements, Check wage data for unreported earnings, Investigate improper payments, Provide information on appeal process", "teamCollaboration" : "Supportive team", "domainKnowledge" : "Unemployment insurance", "domainList" : [ "unemployment-insurance" ], "domainSpecificKnowledge" : [ "Unemployment insurance" ], "communicationSkills" : "Professional communication", "documentationSkills" : "Documenting rationale", "continuousLearning" : "Training and development opportunities", "problemSolvingSkills" : "Problem-solving skills", "specialRequirements" : "Lift up to 15 pounds, 25% travel, Security sensitive position, Criminal background investigation", "qualificationsBasic" : "Six months experience performing auditing, Six months experience investigating, Six months experience as unemployment insurance claims examiner, Six months experience gathering information, Six months experience interviewing, Six months experience counseling, Six months experience instructing, Six months experience demonstrating, Six months experience interpreting policies", "qualificationsPreferred" : "Acceptance into TWC Internship, Acceptance into TWC Apprenticeship", "remoteFriendly" : true, "workSiteFlexibility" : "Onsite", "rawDescription" : "WHO WE ARE: Texas Workforce Commission connects people with careers across the state. While we are based in Austin on the north lawn of the Texas State Capitol, we have offices statewide. We're a Family Friendly Certified Workplace with great work-life balance, competitive salaries, extensive opportunities for training and development, and fantastic benefits. This position is located at 1359 Lomaland Dr, El Paso, Texas in the West Texas Tele-Center. TWC is not considering applications from individuals who require sponsorship for an employment visa, including those with H1B visas or those currently on student or postgraduate visas. You must be a Texas resident to work for the Texas Workforce Commission or willing to relocate to Texas. WHO YOU ARE: An individual with professional communication skills, the ability to handle multiple priorities while meeting strict deadlines. An individual who can provide exemplary customer service while obtaining unemployment insurance benefit information, displays great problem-solving skills, can apply unemployment rules in issuing timely decisions with quality and is able to provide important unemployment program information to our customers so they understand their next steps. To be successful as an investigator, you will have a passion for serving people and be able to work both independently and collaboratively as a part of a supportive team. WHAT YOU WILL DO: The investigator I performs entry-level to routine (journey-level) investigative work. Work involves conducting investigations. Works under moderate supervision, with limited latitude for the use of initiative and independent judgment. YOU WILL BE TRUSTED TO: -Review and determining eligibility for unemployment benefits including liability of employers for reimbursement -Interview claimants and employers to gather facts on claims being investigated and entering fact finding statements during this process -Review requests from claimants for additional wages and deletions of wages -Document reason for accepting one set of facts over another in the determination's rationale -Provide information on unemployment insurance claims provisions, processes, and requirements to claimants and employers -Check wage data for unreported earnings and investigating improper payments, when needed -Review requests from claimants for additional wages and deletions of wages -Provide information about the appeal process to claimants, as applicable -Perform other duties as assigned. YOU QUALIFY WITH: - Six months of full-time experience performing auditing or investigating work; or unemployment insurance claims examiner tasks; or gathering of information, interviewing, counseling, or in the instruction, demonstration, and interpretation of policies in a public or private enterprise. -Relevant academic credits may be applied toward experience qualifications for this position. -Acceptance into a TWC Internship or TWC Apprenticeship will satisfy the minimum qualifications. YOU ARE A GREAT FIT WITH: -Ability to lift and carry up to 15 pounds of job-related materials YOU GAIN: - A Family Friendly Certified Workplace. - Competitive salary: $3,311.14/month - Defined Retirement Benefit Plan - Optional 401(k) and 457 accounts - Medical Insurance - Paid time off, including time for vacation, sick and family care leave - Additional benefits for active employees can be found at https://www.ers.texas.gov/Active-Employees/Health-Benefits. Position involves lifting and carrying up to 15 pounds of job-related materials. A skills test and/or written exercise will be required at the time of interview. This is a security sensitive position. A criminal background investigation will be conducted on the final candidates for the job. Incomplete applications may not be considered. TWC may use all available information, including past unemployment claims, to evaluate an applicant’s suitability for the position. Duty involves up to 25% travel within the state of Texas. This is a full-time position that will work 40 hours a week. Generally, the position will work from Monday through Friday from 8:00 AM – 5:00 PM local time. However, alternative hours may be available. You may be called upon to work outside of those hours, weekend, and holidays in the event of a disaster, unforeseen event, or special projects VETERANS: Use your military skills to qualify for this position or other jobs! Go to www.texasskillstowork.com to translate your military work experience and training courses into civilian job terms, qualifications, and skill sets. Also, you can compare this position to military occupations (MOS) at the Texas State Auditor's Office by pasting this link into your browser: https://hr.sao.texas.gov/Compensation/MilitaryCrosswalk/MOSC_ComplianceInspectionandInvestigation.pdf. HOW TO APPLY: To be considered, please complete a State of Texas Application for Employment and apply online at www.workintexas.com or on Taleo ( Job Search ). TWC is not considering applications from individuals who require sponsorship for an employment visa, including those with H1B visas or those currently on student or postgraduate visas. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire. A position utilizing this classification will be designated as security sensitive according to the Texas Labor Code, Section 301.042. United States-Texas-El Paso", "summaryDescription" : "Investigator at Texas Workforce Commission. Skills: Investigative work, Unemployment claims. Conduct investigations. Review eligibility for unemployment benefits", "createdAt" : "2026-06-14T18:54:54.411", "lastUpdated" : "2026-06-16T00:37:23.704", "ingestTimestamp" : "2026-06-14T18:54:54.411", "mongoId" : "69ec72e84c40e2acd1d0b66f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 42000, "salaryAnnualMax" : 58000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Unemployment rules application", "Benefit eligibility determination", "Investigative work", "Unemployment claims", "Customer service", "Problem solving", "Unemployment insurance" ], "skillCount" : 7, "jobCategory" : "general", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30531ff292fd229cf112da", "title" : "Assoc Analyst", "company" : "Mattel", "industry" : "Retail", "salary" : { "min" : 650000.0, "max" : 950000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Junior Assoc Analyst in Hyderabad, India, adjusted for the manufacturing industry and Mattel's company size." }, "location" : "Hyderabad, IN", "locations" : [ "Hyderabad", "IN" ], "timestamp" : "2026-06-16T07:23:05.855", "fingerprint" : "77499bc53ae0159b5768142b8455218322f13104caadefd2bfa72241920560e4", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/MattelInc/744000132137176-assoc-analyst", "externalId" : "744000132137176", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Hyderabad", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "17.3605890,78.4740613" } ], "locationText" : "Hyderabad, India", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "mid", "remoteFriendly" : false, "rawDescription" : "CREATIVITY IS OUR SUPERPOWER. It’s our heritage and it’s also our future. Because we don’t just make toys. We create innovative products and experiences that inspire fans, entertain audiences and develop children through play. Mattel is at its best when every member of our team feels respected, included, and heard—when everyone can show up as themselves and do their best work every day. We value and share an infinite range of ideas and voices that evolve and broaden our perspectives with a reach that extends into all our brands, partners, and suppliers. The NOC/smartops Analyst is responsible for monitoring, maintaining, and supporting enterprise systems and production environments in a 24x7 setting. Using tools such as CA Scheduler, SCOM, QMM, Nagios, SolarWinds, and others, this role ensures systems operate efficiently, issues are resolved quickly, and service levels are consistently met. KeyResponsibilities * Monitor enterprise systems, networks, and applications using SCOM, Nagios, SolarWinds, and related monitoring tools. * Execute and monitor production job schedules using CA Scheduler, ensuring timely and accurate completion. * Respond to alerts and incidents, perform initial triage, and escalate according to defined procedures. * Analyze and document recurring issues to support root cause analysis and continuous improvement. * Perform system health checks, capacity monitoring, and routine operational tasks. * Support implementation of automation and process enhancements to improve efficiency. * Assist in disaster recovery (DR) testing and maintenance activities. * Adhere to established procedures, security standards, and service level requirements (SLRs). Qualifications * Education: Bachelor’s degree in Information Technology or related field, or equivalent practical experience. * Experience: 2+ years in IT operations, NOC support, or system monitoring roles. * Technical Skills: Experience with CA Scheduler, SCOM, QMM, Nagios, SolarWinds; knowledge of production control processes, incident management, and system monitoring. * Soft Skills: Strong analytical and troubleshooting skills; ability to work under pressure in a 24x7 environment; solid communication and teamwork abilities. ## Qualifications What We’re Looking For: * Demonstrated a growth mindset by staying curious and continuously learning, embracing challenges, and improving themselves. ## Additional Information Don’t meet every single requirement? At Mattel, we are dedicated to an inclusive workplace and a culture of belonging. If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we still encourage you to apply. You may be just the right candidate for this or other roles. How We Work: We are a purpose driven company aiming to empower generations to explore the wonder of childhood and reach their full potential. We live up to our purpose employing the following behaviors: * We collaborate: Being a part of Mattel means being part of one team with shared values and common goals. Every person counts and working closely together always brings better results. Partnership is our process and our collective capabilities is our superpower. * We innovate: At Mattel we always aim to find new and better ways to create innovative products and experiences. No matter where you work in the organization, you can always make a difference and have real impact. We welcome new ideas and value new initiatives that challenge conventional thinking. * We execute: We are a performance-driven company. We strive for excellence and are focused on pursuing best-in-class outcomes. We believe in accountability and ownership and know that our people are at their best when they are empowered to create and deliver results. Our Approach to Flexible Work: We embrace a flexible work model designed to empower a culture of growth, optimism, and wellbeing, where every employee can reach their full potential. Combining purposeful in-person collaboration with flexibility, our focus is to optimize performance and drive connection for moments that matter. Who We Are: Mattel is a leading global toy and family entertainment company and owner of one of the most iconic brand portfolios in the world. We engage consumers and fans through our franchise brands, including Barbie, Hot Wheels, Fisher-Price, American Girl, Thomas & Friends, UNO, Masters of the Universe, Matchbox, Monster High, MEGA and Polly Pocket, as well as other popular properties that we own or license in partnership with global entertainment companies. Our offerings include toys, content, consumer products, digital and live experiences. Our products are sold in collaboration with the world’s leading retail and ecommerce companies. Since its founding in 1945, Mattel is proud to be a trusted partner in empowering generations to explore the wonder of childhood and reach their full potential. Mattel’s award-winning workplace culture has been recognized by Forbes, Fast Company, Newsweek, Great Place to Work, TIME, and more. Visit us at and [www.instagram.com/MattelCareers](http://www.instagram.com/MattelCareers/). Mattel is an Equal Opportunity Employer where we want you to bring your authentic self to work every day. We welcome all job seekers, and all applicants will receive consideration for employment. Videos to watch: [The Culture at Mattel](https://youtu.be/gWyvtJNrMno) [Corporate Philanthropy](https://corporate.mattel.com/philanthropy)", "summaryDescription" : "Assoc Analyst at Mattel", "postedDate" : "2026-06-15T08:22:39.000", "createdAt" : "2026-06-15T21:56:21.957", "lastUpdated" : "2026-06-16T07:23:05.855", "ingestTimestamp" : "2026-06-15T21:56:21.957", "mongoId" : "6a30531ff292fd229cf112da", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Junior", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.95 }, { "id" : "6a304f40f292fd229cee6584", "title" : "Assoc Analyst", "company" : "Mattel", "industry" : "Retail", "salary" : { "min" : 650000.0, "max" : 950000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Junior Assoc Analyst in Hyderabad, India, adjusted for the manufacturing industry and Mattel's company size." }, "location" : "Hyderabad, IN", "locations" : [ "Hyderabad", "IN" ], "timestamp" : "2026-06-16T06:35:51.850", "fingerprint" : "dffdcecef47a296b79a592b35dabca94d5e5d2a4a9707ec0db074901f0854c59", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/MattelInc/744000132137176-assoc-analyst", "externalId" : "744000132137176", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Hyderabad", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "17.3605890,78.4740613" } ], "locationText" : "Hyderabad, India", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "mid", "remoteFriendly" : false, "rawDescription" : "CREATIVITY IS OUR SUPERPOWER. It’s our heritage and it’s also our future. Because we don’t just make toys. We create innovative products and experiences that inspire fans, entertain audiences and develop children through play. Mattel is at its best when every member of our team feels respected, included, and heard—when everyone can show up as themselves and do their best work every day. We value and share an infinite range of ideas and voices that evolve and broaden our perspectives with a reach that extends into all our brands, partners, and suppliers. The NOC/smartops Analyst is responsible for monitoring, maintaining, and supporting enterprise systems and production environments in a 24x7 setting. Using tools such as CA Scheduler, SCOM, QMM, Nagios, SolarWinds, and others, this role ensures systems operate efficiently, issues are resolved quickly, and service levels are consistently met. KeyResponsibilities * Monitor enterprise systems, networks, and applications using SCOM, Nagios, SolarWinds, and related monitoring tools. * Execute and monitor production job schedules using CA Scheduler, ensuring timely and accurate completion. * Respond to alerts and incidents, perform initial triage, and escalate according to defined procedures. * Analyze and document recurring issues to support root cause analysis and continuous improvement. * Perform system health checks, capacity monitoring, and routine operational tasks. * Support implementation of automation and process enhancements to improve efficiency. * Assist in disaster recovery (DR) testing and maintenance activities. * Adhere to established procedures, security standards, and service level requirements (SLRs). Qualifications * Education: Bachelor’s degree in Information Technology or related field, or equivalent practical experience. * Experience: 2+ years in IT operations, NOC support, or system monitoring roles. * Technical Skills: Experience with CA Scheduler, SCOM, QMM, Nagios, SolarWinds; knowledge of production control processes, incident management, and system monitoring. * Soft Skills: Strong analytical and troubleshooting skills; ability to work under pressure in a 24x7 environment; solid communication and teamwork abilities. ## Qualifications What We’re Looking For: * Demonstrated a growth mindset by staying curious and continuously learning, embracing challenges, and improving themselves. ## Additional Information Don’t meet every single requirement? At Mattel, we are dedicated to an inclusive workplace and a culture of belonging. If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we still encourage you to apply. You may be just the right candidate for this or other roles. How We Work: We are a purpose driven company aiming to empower generations to explore the wonder of childhood and reach their full potential. We live up to our purpose employing the following behaviors: * We collaborate: Being a part of Mattel means being part of one team with shared values and common goals. Every person counts and working closely together always brings better results. Partnership is our process and our collective capabilities is our superpower. * We innovate: At Mattel we always aim to find new and better ways to create innovative products and experiences. No matter where you work in the organization, you can always make a difference and have real impact. We welcome new ideas and value new initiatives that challenge conventional thinking. * We execute: We are a performance-driven company. We strive for excellence and are focused on pursuing best-in-class outcomes. We believe in accountability and ownership and know that our people are at their best when they are empowered to create and deliver results. Our Approach to Flexible Work: We embrace a flexible work model designed to empower a culture of growth, optimism, and wellbeing, where every employee can reach their full potential. Combining purposeful in-person collaboration with flexibility, our focus is to optimize performance and drive connection for moments that matter. Who We Are: Mattel is a leading global toy and family entertainment company and owner of one of the most iconic brand portfolios in the world. We engage consumers and fans through our franchise brands, including Barbie, Hot Wheels, Fisher-Price, American Girl, Thomas & Friends, UNO, Masters of the Universe, Matchbox, Monster High, MEGA and Polly Pocket, as well as other popular properties that we own or license in partnership with global entertainment companies. Our offerings include toys, content, consumer products, digital and live experiences. Our products are sold in collaboration with the world’s leading retail and ecommerce companies. Since its founding in 1945, Mattel is proud to be a trusted partner in empowering generations to explore the wonder of childhood and reach their full potential. Mattel’s award-winning workplace culture has been recognized by Forbes, Fast Company, Newsweek, Great Place to Work, TIME, and more. Visit us at and [www.instagram.com/MattelCareers](http://www.instagram.com/MattelCareers/). Mattel is an Equal Opportunity Employer where we want you to bring your authentic self to work every day. We welcome all job seekers, and all applicants will receive consideration for employment. Videos to watch: [The Culture at Mattel](https://youtu.be/gWyvtJNrMno) [Corporate Philanthropy](https://corporate.mattel.com/philanthropy)", "summaryDescription" : "Assoc Analyst at Mattel", "postedDate" : "2026-06-15T08:22:39.000", "createdAt" : "2026-06-15T21:32:30.351", "lastUpdated" : "2026-06-16T06:35:51.850", "ingestTimestamp" : "2026-06-15T21:32:30.351", "mongoId" : "6a304f40f292fd229cee6584", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Junior", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ca5bd74d8ee00a09b7ee8", "title" : "Principal Data Scientist", "company" : "Intellishore", "industry" : "Consulting", "salary" : { "min" : 950000.0, "max" : 1450000.0, "currency" : "DKK", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Denmark, adjusted for executive seniority, biotech industry, and Copenhagen city tier." }, "location" : "Copenhagen", "locations" : [ "Copenhagen" ], "timestamp" : "2026-06-16T00:46:31.765", "fingerprint" : "9488786ac1ba448028ae7190dbf3c956e5ec1dfccd326cf39dd5db85c2c2d3e4", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/intellishoredk/jobs/7724568003", "externalId" : "7724568003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Copenhagen", "country" : "Denmark", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "55.6867243,12.5700724" } ], "locationText" : "Copenhagen, Denmark", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Machine learning, Forecasting", "professionalSkills" : [ "Client engagements", "Business critical programs", "Commercial measurement", "Data science workstream", "Methodology development", "Offering development" ], "hardSkillsList" : [ "Machine learning", "Forecasting", "Causal inference", "Measurement" ], "hardSkills" : [ { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Forecasting", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" }, { "name" : "Measurement", "level" : "intermediate" } ], "majorSkills" : "Machine learning, Forecasting, Causal inference", "majorSkillsList" : [ "Machine learning", "Forecasting", "Causal inference" ], "coreResponsibilities" : "Lead data science workstream on client engagements, Set technical bar on machine learning, Set technical bar on forecasting, Build methods and templates, Mentor and grow data scientists, Mentor and grow data engineers, Shape new offerings, Represent Intellishore externally", "teamCollaboration" : "Client executives; Brand leadership; Leadership team", "domainKnowledge" : "Commercial pharma; Regulated industry; Healthcare; Pharma", "domainList" : [ "commercial-pharma", "regulated-industry", "healthcare", "pharma" ], "domainSpecificKnowledge" : [ "Commercial pharma", "Regulated industry", "Healthcare", "Pharma" ], "communicationSkills" : "Thought leadership; Client conversations", "specialRequirements" : "Right to work in Denmark", "qualificationsBasic" : "8+ years in data science, Machine learning experience, Forecasting experience, Commercial context experience, Marketing context experience, Pricing context experience, Lead senior client-facing engagements, Lead business-critical internal programs, Domain grounding in pharma, Domain grounding in healthcare, Domain grounding in regulated industry", "qualificationsPreferred" : "Understanding MLOps, Experience shaping data offerings, Experience shaping AI offerings, Experience launching data offerings, Experience launching AI offerings, Experience shaping data products, Experience shaping AI products, Experience launching data products, Experience launching AI products, Danish language", "remoteFriendly" : false, "workSiteFlexibility" : "Hybrid", "rawDescription" : "The problem we're hiring you to solve Commercial pharma is sitting on a measurement problem. Launch decisions, field force deployment, HCP engagement, pricing - most of the value moves before anyone knows what worked, and the standard playbooks weren't built for fragmented channels, privacy constraints, or the causal questions that actually matter to commercial leaders. And the ground keeps moving - AI is rewriting what \"analytics\" even means to a commercial org, and the regulatory and tech stack underneath it all is shifting faster than most teams can absorb. Intellishore works at the sharp end of this. Our commercial pharma practice partners with global top-20 pharma pioneers on data and AI decisions that shape launches, portfolios, and commercial performance. We're hiring a Principal Data Scientist to lead the technical depth of this work — shaping methodology, owning delivery on our most demanding engagements, and building out how we deliver measurements, causal inference, and machine learning in the next generation of our offerings. What you'll actually do Lead the data science workstream on senior client engagements - typically 1-2 concurrent projects, working directly with client executives and brand leadership. Set the technical bar on machine learning and forecasting across our commercial pharma portfolio and build the methods and templates that scale across the practice and into new segments. Mentor and grow a small team of data scientists and engineers. Team size: 10 today, growing to 30. Shape new offerings alongside our leadership - from scoping to pricing to the IP that underpins them. Represent Intellishore externally: Thought leadership, conferences, and senior client conversations where credibility matters. Who you are Must-haves: 8+ years in data science, with meaningful time spent on machine learning and forecasting in commercial, marketing, or pricing contexts. Track record of leading senior client-facing engagements or business-critical internal programs - consulting, in-house commercial analytics, or both. Strong domain grounding in pharma, healthcare, or another regulated industry where commercial measurement is hard. Nice to have: Understanding MLOps at a level where you know what good looks like and can still get your hands dirty when it matters. Experience shaping or launching data/AI offerings, practices, or products. Danish is a plus, not a requirement. Our working language is English. Why Intellishore? We're a boutique of ~100 people across Copenhagen and Zürich, and our commercial pharma stronghold is genuine - not a side bet. That means three things that matter at your level: Real mandate. You'll own the technical direction of a practice, not a single workstream within a larger machine. If you've wanted to shape how a firm approaches machine learning in healthcare, this is the seat. Concrete path. Practice Lead for ML in Commercial Pharma within 1–2 years; Director track over 2–4 years from hire. We'll map it to your ambitions in the first conversation. Compensation. We'll be direct about level, bonus structure, and the full package early in the process. Practicalities Based in Copenhagen. Expect 3-5 days in the office or at the client site. Travel roughly 5% of weeks, primarily within Europe. You must have the right to work in Denmark at the time of application. Apply We read every application. If most of this resonates, but you don't tick every box, apply anyway — we'd rather have the conversation. Reach out to Sofie Freund with questions: sofie.freund@intellishore.dk · +45 93 98 17 27. We interview on a rolling basis.", "summaryDescription" : "Principal Data Scientist at Intellishore. Skills: Machine learning, Forecasting, Causal inference. Lead data science workstream on client engagements. Set technical bar on machine learning", "postedDate" : "2026-06-14T20:09:49.596", "createdAt" : "2026-06-14T20:09:49.596", "lastUpdated" : "2026-06-16T00:46:31.765", "ingestTimestamp" : "2026-06-14T20:09:49.596", "mongoId" : "6a2ca5bd74d8ee00a09b7ee8", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Machine learning", "Forecasting", "Causal inference", "Measurement", "Client engagements", "Business critical programs", "Commercial measurement", "Data science workstream", "Methodology development", "Offering development", "Commercial pharma", "Regulated industry", "Healthcare", "Pharma" ], "skillCount" : 14, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Executive", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305a6af292fd229cf50547", "title" : "Principal Data Scientist - Agent Builder", "company" : "Elastic", "industry" : "Technology", "salary" : { "min" : 140000.0, "max" : 210000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Principal Data Scientist in the Technology industry in the Netherlands, adjusted for executive seniority and company size." }, "location" : "Netherlands", "locations" : [ "Netherlands" ], "timestamp" : "2026-06-16T11:05:30.121", "fingerprint" : "8e027fce54abc926a9eebea78a61fc140b324b454e895a1c094d41cc76a8efd9", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://jobs.elastic.co/jobs?gh_jid=8008494&gh_jid=8008494", "externalId" : "8008494", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Netherlands", "continent" : "eu", "workMode" : "onsite" } ], "locationText" : "Netherlands", "experienceMinYears" : 10, "experienceMaxYears" : 99, "experienceLevel" : "Principal", "technicalSkills" : "Python, SQL, Spark, AWS, GCP, Azure, Snowflake, BigQuery, Redshift, Databricks, Dbt, Fivetran, Airflow, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, SageMaker, Vertex AI, ML Studio, S3, Glue, Athena, Synapse", "professionalSkills" : [ "Data engineering", "ML engineering", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Statistical modeling", "Machine learning", "Deep learning", "Data modeling", "Data warehousing", "ETL development", "Data pipeline", "Data visualization", "Experiment design", "A/B testing", "Causal inference" ], "hardSkillsList" : [ "Statistical analysis", "Regression analysis", "Classification models", "Clustering algorithms", "Time-series forecasting", "Experimentation design", "Causal inference methods", "Model deployment", "Model monitoring", "Data wrangling", "Feature engineering", "Algorithm development" ], "hardSkills" : [ { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Regression analysis", "level" : "intermediate" }, { "name" : "Classification models", "level" : "intermediate" }, { "name" : "Clustering algorithms", "level" : "intermediate" }, { "name" : "Time-series forecasting", "level" : "intermediate" }, { "name" : "Experimentation design", "level" : "intermediate" }, { "name" : "Causal inference methods", "level" : "intermediate" }, { "name" : "Model deployment", "level" : "intermediate" }, { "name" : "Model monitoring", "level" : "intermediate" }, { "name" : "Data wrangling", "level" : "intermediate" }, { "name" : "Feature engineering", "level" : "intermediate" }, { "name" : "Algorithm development", "level" : "intermediate" } ], "majorSkills" : "Data science, Machine learning, Data engineering, AI", "majorSkillsList" : [ "Data science", "Machine learning", "Data engineering", "AI" ], "coreResponsibilities" : "Build and deploy machine learning models, Develop and maintain data pipelines, Design and implement data solutions, Conduct data analysis, Perform statistical modeling, Develop ML models, Deploy ML models, Monitor ML models, Collaborate with engineering teams, Collaborate with product teams, Drive data science initiatives, Contribute to data strategy, Build agent models, Develop AI agents", "teamCollaboration" : "Cross-functional teams; Engineering teams; Product teams", "toolProficiency" : [ "Python", "SQL", "Spark", "AWS", "GCP", "Azure", "Snowflake", "BigQuery", "Redshift", "Databricks", "Dbt", "Fivetran", "Airflow", "Delta Lake", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow", "SageMaker", "Vertex AI", "ML Studio", "S3", "Glue", "Athena", "Synapse" ], "problemSolvingSkills" : "Root cause analysis; Troubleshooting; Data-driven decision making", "remoteFriendly" : true, "rawDescription" : "Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role The Search Conversational Experiences team builds Elastic’s new conversational and agentic platform that lets customers chat with their own data in Elasticsearch. We build the core quality layer for RAG, agents and tools, retrieval and citations, streaming, memory, and the evaluation signals that turn open-ended questions into grounded, reliable answers. As a Principal Data Scientist, you will help set the technical direction for how we evaluate, improve, and scale chat quality across Elastic’s agentic platform. You will define the evaluation strategy that guides product decisions, including which models we standardize on, how we route requests across agents, which tools we enable and when, and how we tailor agents to different Elastic use cases in search and beyond. You will work closely with backend engineering, product, UX, and other data scientists to turn ambiguous, cutting-edge problems into measurable product improvements. You’ll help lead work on frontier problems such as folding RAG and vector search into an agent’s knowledge base, dynamically enriching model context to improve groundedness, shaping reasoning strategies and tool-selection policies, lighting up agent-driven visualizations on top of Elasticsearch data, and exploring multimodality where it can create meaningful user value. This is an applied leadership role: you will prototype, evaluate, influence roadmap direction, and help teams ship improvements that customers can feel. What You Will Be Doing Define the evaluation strategy for conversational and agentic search, including offline and online evaluation, golden datasets, rubrics, LLM-as-judge calibration, groundedness and citation checks, and A/B testing. Lead the design of quality metrics and decision frameworks for RAG, agents, tools, model selection, agent routing, prompt behavior, and cost/latency trade-offs. Build, compare, and guide improvements across retrieval and re-ranking approaches, including sparse and dense retrieval, vector search, query understanding, semantic rewrites, and context enrichment. Turn experimental results into product and business decisions: which models to use, how to route requests efficiently, which tools should be exposed, and how agents should be customized for different Elastic use cases. Partner with engineering to productionize evaluation pipelines, telemetry, dashboards, CI guardrails, and regression detection for chat quality, helpfulness, dedication, latency, and cost. Influence the roadmap by identifying the highest-leverage quality gaps, proposing practical solutions, and communicating trade-offs clearly to product, engineering, and leadership. Mentor other data scientists and engineers in experiment design, evaluation methodology, statistical rigor, and practical approaches to improving LLM-powered systems. Share outcomes through clear docs, notebooks, PRs, dashboards, technical proposals, and cross-functional reviews. What You Bring 8+ years of applied DS/ML experience, with deep expertise in IR, NLP, ranking, semantic search, RAG, or LLM-powered product experiences. Strong track record defining and leading evaluation for production AI/ML systems, including offline metrics, online experimentation, LLM-as-judge approaches, groundedness, citation quality, and model comparison. Experience influencing product and technical strategy through data, especially in ambiguous or emerging domains where the “right” metric or approach is not obvious at the start. Hands-on ability with Python, PyTorch/Transformers, Pandas, notebooks, reproducible experiments, versioned datasets, and clean, reviewable code. Strong understanding of retrieval systems, including dense and sparse retrieval, re-ranking, vector search, query understanding, and evaluation metrics such as nDCG, MRR, Recall@k, precision,and latency/cost trade-offs. Experience collaborating closely with engineering teams to move from prototype to production, including telemetry design, dashboards, CI guardrails, and quality regression tracking. Practical Elasticsearch experience, or experience with similar search and distributed data systems. ES|QL familiarity is a plus. Excellent written and verbal communication, with the ability to explain complex scientific and technical trade-offs to engineering, product, design, and leadership audiences. A collaborative, low-ego style and a strong ability to mentor, raise standards, and develop transparency for others in a distributed team. Compensation for this role is in the form of base salary. This role does not have a variable compensation component. At Elastic, our compensation philosophy aims to provide fair, competitive and transparent remuneration. Salary ranges are established based on a combination of external market benchmarks, internal pay equity considerations, and the responsibilities and complexity associated with each role. This approach helps ensure consistency across comparable roles while remaining competitive within the relevant labour markets. The final compensation offered within the applicable range will be determined based on several objective factors, including relevant professional experience, level of skills and expertise, alignment with the role requirements, and the overall scope and complexity of the position. The typical starting salary range for this role is: €80.400—€127.200 EUR Additional Information - We Take Care of Our People As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do. We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do. Competitive pay based on the work you do here and not your previous salary Health coverage for you and your family in many locations Ability to craft your calendar with flexible locations and schedules for many roles Generous number of vacation days each year Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service Up to 40 hours each year to use toward volunteer projects you love Embracing parenthood with minimum of 16 weeks of parental leave Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation. We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate_accessibility@elastic.co. We will reply to your request within 24 business hours of submission. Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster) Elasticsearch develops and distributes technology and information that is subject to U. S. and other countries’ export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic. Please see here for our Privacy Statement.", "summaryDescription" : "Principal Data Scientist - Agent Builder at Elastic. Skills: Data science, Machine learning, Data engineering, AI. Build and deploy machine learning models. Develop and maintain data pipelines", "postedDate" : "2026-06-15T23:22:17.099", "createdAt" : "2026-06-15T23:22:17.099", "lastUpdated" : "2026-06-16T11:05:30.121", "ingestTimestamp" : "2026-06-15T23:22:17.099", "mongoId" : "6a305a6af292fd229cf50547", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Statistical analysis", "Regression analysis", "Classification models", "Clustering algorithms", "Time-series forecasting", "Experimentation design", "Causal inference methods", "Model deployment", "Model monitoring", "Data wrangling", "Feature engineering", "Algorithm development", "Data science", "Machine learning", "Data engineering", "AI", "ML engineering", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Statistical modeling", "Deep learning", "Data modeling", "Data warehousing", "ETL development", "Data pipeline", "Data visualization", "Experiment design", "A/B testing", "Causal inference", "Python", "SQL", "Spark", "AWS", "GCP", "Azure", "Snowflake", "BigQuery", "Redshift", "Databricks", "Dbt", "Fivetran", "Airflow", "Delta Lake", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow", "SageMaker", "Vertex AI", "ML Studio", "S3", "Glue", "Athena", "Synapse" ], "skillCount" : 58, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Executive", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a30985ff292fd229c0e4385", "title" : "Senior Data Scientist", "company" : "DoorDash", "industry" : "Logistics", "salary" : { "min" : 175000.0, "max" : 250000.0, "currency" : "AUD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Data Scientist in Melbourne, Australia, adjusted for seniority and technology industry." }, "location" : "Melbourne", "locations" : [ "Melbourne" ], "timestamp" : "2026-06-16T12:39:56.606", "fingerprint" : "6809a563b97e20bb66559ca9e59dbd18fb5566691575a5cf19e403d703de29eb", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/doordashaustralia/jobs/7993751", "externalId" : "7993751", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Melbourne", "state" : "Victoria", "country" : "Australia", "continent" : "oc", "source" : "llm", "workMode" : "hybrid", "geo" : "-37.8142454,144.9631732" }, { "country" : "New Zealand", "continent" : "oc", "workMode" : "onsite" }, { "country" : "United States", "continent" : "na", "workMode" : "onsite" }, { "country" : "United Kingdom", "continent" : "eu", "workMode" : "onsite" } ], "locationText" : "Melbourne, Victoria, Australia; New Zealand; United States; United Kingdom", "employmentType" : "FULL_TIME", "experienceMinYears" : 6, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, R", "professionalSkills" : [ "Quantitative analysis", "Thought partner", "Stakeholder management", "Business decisions" ], "hardSkillsList" : [ "Statistical techniques", "Hypothesis testing", "Experimentation techniques" ], "hardSkills" : [ { "name" : "Statistical techniques", "level" : "intermediate" }, { "name" : "Hypothesis testing", "level" : "intermediate" }, { "name" : "Experimentation techniques", "level" : "intermediate" } ], "majorSkills" : "Data Science, Analytics, Business Intelligence", "majorSkillsList" : [ "Data Science", "Analytics", "Business Intelligence" ], "coreResponsibilities" : "Provide insights to understand marketplace dynamics, Provide insights to understand user behaviours, Provide insights to understand long-term trends, Use quantitative analysis, Present data, Build full-cycle analytics experiments, Build reports, Build dashboards, Identify levers to move metrics, Measure levers to move metrics, Make recommendations, Understand and size problems, Ideate solutions, Produce recommendations, Use statistical techniques, Use hypothesis testing, Use experimentation techniques, Validate findings", "teamCollaboration" : "Strategy & Operations teams; Executive Leadership Team; Cross-functional team; Strategy, operations, product, finance and engineering", "projectManagementSkills" : [ "Strategic projects" ], "domainKnowledge" : "Three-sided marketplace; Marketplace dynamics; User behaviours; Long-term trends", "domainList" : [ "three-sided-marketplace", "marketplace-dynamics", "user-behaviours", "long-term-trends" ], "domainSpecificKnowledge" : [ "Three-sided marketplace", "Marketplace dynamics", "User behaviours", "Long-term trends" ], "problemSolvingSkills" : "Ambiguous problems; Structured problem solving; Hypothesis-driven problem solving; Data-supported problem solving", "outcomesObjectives" : "Drive growth; Drive operational excellence", "qualificationsBasic" : "6+ years of experience, Degree in Math, Physics, Statistics, Economics, Computer Science, or similar, Very experienced with SQL queries, Basic ETL, Regression techniques, Proficiency in Python or R, Experience with experimentation techniques, Experience with A/B testing, Experience with Causal Inference, Experience interpreting hypothesis testing", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "About the Team DoorDash is a complex and constantly evolving business; The global BizOps team is primarily responsible for crafting the story about business performance (what’s happening, why is it happening, what we should do about it), diving deep on key KPI trends, and surfacing insights and recommendations to stakeholders to ensure we understand our current business climate and react in a data-informed manner. About the Role You will be a key BizOps partner, working closely with the Strategy & Operations team and the ANZ Executive Leadership Team to turn data into actionable insights—understanding what is happening, why it is happening, and what actions should be taken next. You will focus on the ANZ markets, helping to drive strategic initiatives across the region. You will adapt and apply best practices from the US business to local market dynamics while providing data-driven recommendations that inform business decisions. DoorDash operates a three-sided marketplace comprising Consumers, Merchants, and Dashers. In this role, you will work across all three groups to identify opportunities, solve complex business challenges, and drive growth and operational excellence. This is a hybrid role, with 3 days in-office and 2 days remote. You're excited about this opportunity because you will… Be a first-class thought partner to our Strategy & Operations and Executive teams and help them make decisions on what’s next for DoorDash Provide insights to enable our cross-functional team to understand marketplace dynamics, user behaviours, and long-term trends Use quantitative analysis and the presentation of data to see beyond the numbers and understand what drives our business Build full-cycle analytics experiments, reports, and dashboards using SQL, Python, R, or other scripting and statistical tools Identify and measure levers to help move essential metrics and make recommendations Work backwards from understanding and sizing problems to ideating solutions Produce recommendations and use statistical techniques and hypothesis testing and other experimentation techniques to validate your findings. We're excited about you because you have… 6+ years of experience in data analytics, consulting, or related quantitative roles and a degree in Math, Physics, Statistics, Economics, Computer Science, or a similar domain. The insight to take ambiguous problems and solve them in a structured, hypothesis-driven, data-supported way Experience leading /owning strategic projects to completion with multiple cross-functional teams Excellent stakeholder management skills, know how to effectively collaborate well with strategy, operations, product, finance and engineering while prioritising competing needs Very experienced with SQL queries, Basic ETL, Regression techniques Proficiency in at least one programming language, preferably Python or R Experience working with experimentation techniques (A/B testing, Causal Inference) and interpreting hypothesis testing About DoorDash At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started by enabling door-to-door delivery, and we are looking for team members who can help us go from a company that is known as the place you order food to a company that people turn to for any and all goods. DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks. Our Commitment to Diversity and Inclusion We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. If you need any accommodations, please inform your recruiting contact upon initial connection.", "summaryDescription" : "Senior Data Scientist at DoorDash. Skills: Data Science, Analytics, Business Intelligence. Provide insights to understand marketplace dynamics. Provide insights to understand user behaviours", "postedDate" : "2026-06-16T03:16:34.088", "createdAt" : "2026-06-16T03:16:34.088", "lastUpdated" : "2026-06-16T12:39:56.606", "ingestTimestamp" : "2026-06-16T03:16:34.088", "mongoId" : "6a30985ff292fd229c0e4385", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ "Statistical techniques", "Hypothesis testing", "Experimentation techniques", "Data Science", "Analytics", "Business Intelligence", "Quantitative analysis", "Thought partner", "Stakeholder management", "Business decisions", "Strategic projects", "Three-sided marketplace", "Marketplace dynamics", "User behaviours", "Long-term trends" ], "skillCount" : 15, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c7ec074d8ee00a09537b7", "title" : "Principal Investigator, Quantum Error Correction", "company" : "Riverlane", "industry" : "Technology", "salary" : { "min" : 180000.0, "max" : 245000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Boston, Massachusetts, United States", "locations" : [ "Boston", "Massachusetts", "United States" ], "timestamp" : "2026-06-15T07:46:50.364", "fingerprint" : "2ef706bf95472e14f1cef12872c23d56ee7e56a72b878758f2d3ef682d543056", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/riverlane/jobs/4787546101", "externalId" : "4787546101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Boston", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "42.3588336,-71.0578303" } ], "locationText" : "Boston, Massachusetts, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Quantum error correction, Quantum computing", "professionalSkills" : [ "Scientific inventiveness", "Technical leadership", "Technical direction", "External research programs", "Funding proposals", "Oral evaluations" ], "hardSkillsList" : [ "Fault-tolerant architectures", "Decoding algorithms", "Noise characterization", "System-level performance analysis" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Fault-tolerant architectures", "level" : "intermediate" }, { "name" : "Decoding algorithms", "level" : "intermediate" }, { "name" : "Noise characterization", "level" : "intermediate" }, { "name" : "System-level performance analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Quantum error correction, Research leadership", "majorSkillsList" : [ "Quantum error correction", "Research leadership" ], "coreResponsibilities" : "Conceive original research, Conduct original research, Lead original research, Define technical direction, Own technical direction, Act as Principal Investigator, Drive research projects, Work hands-on, Publish high-quality research, Present results, Lead technical contributions, Serve as senior technical interface, Mentor researchers, Contribute to research culture, Contribute to technical excellence, Build research team, Lead research team", "teamCollaboration" : "Externally funded research programs; World-class national laboratories; Government agencies; Research institutions; Research and Engineering organization; Mathematicians; Physicists; Computer scientists; Hardware engineers; Software engineers; External partners; Government agencies; National labs; Research partners", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "Quantum computing; Quantum error correction; Fault-tolerant architectures; Decoding algorithms; Noise characterization; System-level performance analysis; Quantum hardware; HPC research; Large-scale testbeds", "domainList" : [ "quantum-computing", "quantum-error-correction", "fault-tolerant-architectures", "decoding-algorithms", "noise-characterization", "system-level-performance-analysis", "quantum-hardware", "hpc-research", "large-scale-testbeds" ], "domainSpecificKnowledge" : [ "Quantum computing", "Quantum error correction", "Fault-tolerant architectures", "Decoding algorithms", "Noise characterization", "System-level performance analysis", "Quantum hardware", "HPC research", "Large-scale testbeds" ], "communicationSkills" : "Discuss complex ideas; Clear communication", "continuousLearning" : "Training budgets; Conference budgets", "innovationCreativity" : "Scientific inventiveness; New research directions", "problemSolvingSkills" : "Problem solving", "specialRequirements" : "US government clearance", "outcomesObjectives" : "Accelerate path to utility-scale quantum computing; Solve defining challenge of quantum computing", "qualificationsBasic" : "PhD in mathematics, physics, computer science, or related technical field, Equivalent professional experience, Experience as Principal Investigator, Engaging with different stakeholders, Track record of driving projects, Experience leading projects involving multiple people, Ability to work effectively independently, Ability to work effectively as part of a team, Must be able to obtain a US government clearance", "qualificationsPreferred" : "Experience leading collaborations with national labs, Experience leading collaborations with major research facilities, Experience leading collaborations with government-funded consortia, Contributed to large-scale scientific programs, Led large-scale scientific programs, Contributed to center-level research initiatives, Led center-level research initiatives, Deep expertise in QEC-relevant areas, Experience integrating quantum research with real hardware, Experience integrating HPC research with real hardware, Experience integrating quantum research with simulators, Experience integrating HPC research with simulators, Experience integrating quantum research with testbeds, Experience integrating HPC research with testbeds, Network across quantum computing research landscape, Track record of securing significant external funding, Mentored early-career researchers, Coached early-career researchers, Supervised early-career researchers, Mentored research engineers, Coached research engineers, Supervised research engineers", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "Principal Quantum Error Correction (QEC) Investigator Boston, MA, US | Full-time | Permanent | Hybrid Salary: $180,000 to $245,000 DOE The salary range for this role is broad, as we are able to consider varying levels of experience. Any offer made will carefully take into account level of experience (including relevant industry experience), transferable relevant skills and previous relevant achievements. Location note: For the right candidate, we are also able to consider this role on a fully remote basis from other parts of the US. In such cases, compensation will be adjusted accordingly, in line with the local market. About us Riverlane’s mission is to master quantum error correction (QEC) and unlock a new age of human progress. From advances in material and climate science, to complex chemistry simulation for new drug design, quantum computers will help humanity solve some of its most important challenges. But without QEC, the industry’s defining technical challenge, such breakthroughs can never be achieved. Riverlane is the world leader in QEC technology. QEC is a complex problem that requires a range of skills, talent and passion. Having raised more than $125M in funding to date to accelerate our cutting-edge R&D in quantum error correction (QEC), Riverlane partners with many of the world’s leading quantum hardware providers and government agencies to make fault-tolerant quantum computing a reality. We’re making remarkable progress and growing fast.  About the role As a Principal Investigator, QEC at Riverlane, you will lead some of the company’s highest-value, most strategically important research programs – collaborations with world-class national laboratories, government agencies, and major research institutions. These partnerships sit at the core of accelerating the path to utility-scale quantum computing, and require scientific inventiveness, technical depth, and the ability to shape the direction of ambitious, multi-stakeholder initiatives. You will operate across Riverlane’s highly collaborative Research and Engineering organization, working alongside mathematicians, physicists, computer scientists, and hardware and software engineers to push the frontier of quantum error correction. In this senior role, you will blend hands-on research with technical leadership, setting scientific direction, representing Riverlane to external partners at the highest technical level, and – when opportunities arise – building and mentoring a small research team. This is a role for someone who wants to have impact at scale: defining new research directions, influencing the national QEC landscape, and contributing directly to solving the defining challenge of quantum computing. What you will do As a Principal Investigator, QEC at Riverlane, your work will vary, but typical activities may include: Conceive, conduct, and lead original research in quantum error correction and related areas Define and own the technical direction for externally funded research programs Act as Principal Investigator with responsibility for technical delivery against agreed milestones Drive research projects from concept through execution, working hands-on where appropriate Publish high-quality research in leading journals and conferences, and present results at major venues Lead technical contributions to competitive funding proposals and oral evaluations Serve as Riverlane’s senior technical interface to government agencies, national labs, and research partners Mentor researchers and contribute to Riverlane’s research culture and technical excellence As programs grow and funding allows, there may be opportunities to build and lead a small research team What we need PhD in mathematics, physics, computer science, or a related technical field (or equivalent professional experience). Experience as Principal Investigator engaging with different stakeholders (ideally in the government sector). Track record of driving projects on time whilst meeting or exceeding expectations. Experience leading projects involving multiple people Ability to work effectively both independently, and as part of a team Strong written and oral communication skills, with the ability to discuss complex ideas with a variety of audiences in a clear way Must be able to obtain a US government clearance if required. Even better if You have experience leading collaborations with national labs, major research facilities, or government-funded consortia. You have contributed to or led large-scale, multi-year scientific programs or center-level research initiatives. You bring deep expertise in one or more QEC-relevant areas such as fault-tolerant architectures, decoding algorithms, noise characterization, or system-level performance analysis. You have experience integrating quantum or HPC research with real hardware systems, simulators, or large-scale testbeds. You have a strong network across the quantum computing research landscape and are comfortable representing an organization at senior technical forums. You have a track record of securing significant external funding through competitive grants or program-level proposals. You have mentored, coached, or supervised early-career researchers or research engineers, formally or informally. What can you expect from us A comprehensive benefits package that includes an annual bonus plan, private medical insurance, life insurance and 401K contributions Equity, so that our team can share in the long-term success of Riverlane  Generous paid time off, and enhanced family leave  A diverse work environment that brings together experts in many fields (including software and hardware development, quantum information theory, physics and math) and over 20 different nationalities   A learning environment that encourages individual, team and company growth and learning, including training and conference budgets How to apply Please upload a CV and cover letter by clicking 'Apply'. Your cover letter should explain why you are applying for the job and what skills and experience you can bring to the role. We review CVs as we receive them and interview as soon as we have applications that look like a good match. We do not use closing dates. So, please apply as soon as possible to avoid missing out on this role. If you have any queries, please contact jobs@riverlane.com. Everyone is welcome at Riverlane. We are an equal opportunity employer and encourage applications from eligible and suitably qualified candidates regardless of age, disability, ethnicity, gender, gender reassignment, religion or belief, sexual orientation, marital or civil partnership status, or pregnancy and maternity/paternity. Studies have shown that women tend to apply to jobs if they meet all or almost all of the requirements whereas men apply even if they meet only some of the requirements. If that sounds like you then please apply – we are happy to review your application and let you know if we think you might be a good fit. If you need any adjustments made to the application or selection process so you can do your best, please let us know. We will be happy to help. GDPR notice: Riverlane collects and processes personal data in accordance with applicable data protection laws. If you are a European Job Applicant see the privacy notice for further details. #LI-CA1", "summaryDescription" : "Principal Investigator, Quantum Error Correction at Riverlane. Skills: Quantum error correction, Research leadership. Conceive original research. Conduct original research", "postedDate" : "2026-06-13T20:35:20.500", "createdAt" : "2026-06-13T20:35:20.500", "lastUpdated" : "2026-06-15T07:46:50.364", "ingestTimestamp" : "2026-06-13T20:35:20.500", "mongoId" : "6a2c7ec074d8ee00a09537b7", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 180000, "salaryAnnualMax" : 245000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Fault-tolerant architectures", "Decoding algorithms", "Noise characterization", "System-level performance analysis", "Leadership", "Mentoring", "Quantum error correction", "Research leadership", "Scientific inventiveness", "Technical leadership", "Technical direction", "External research programs", "Funding proposals", "Oral evaluations", "Project management", "Quantum computing", "Quantum hardware", "HPC research", "Large-scale testbeds" ], "skillCount" : 19, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Executive", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305a6af292fd229cf5054e", "title" : "Principal Data Scientist - Agent Builder", "company" : "Elastic", "salary" : { "min" : 140000.0, "max" : 210000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Principal Data Scientist in the Technology industry in the Netherlands, adjusted for executive seniority and full-time employment." }, "location" : "Netherlands", "locations" : [ "Netherlands" ], "timestamp" : "2026-06-16T08:10:42.353", "fingerprint" : "e40db0762c43f936f11de5b8d1eb6f4b99a6c75a4a4443d9c56580ffb77bbe8e", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://jobs.elastic.co/jobs?gh_jid=8008502&gh_jid=8008502", "externalId" : "8008502", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Netherlands", "continent" : "eu", "workMode" : "onsite" } ], "locationText" : "Netherlands", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : true, "rawDescription" : "Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role The Search Conversational Experiences team builds Elastic’s new conversational and agentic platform that lets customers chat with their own data in Elasticsearch. We build the core quality layer for RAG, agents and tools, retrieval and citations, streaming, memory, and the evaluation signals that turn open-ended questions into grounded, reliable answers. As a Principal Data Scientist, you will help set the technical direction for how we evaluate, improve, and scale chat quality across Elastic’s agentic platform. You will define the evaluation strategy that guides product decisions, including which models we standardize on, how we route requests across agents, which tools we enable and when, and how we tailor agents to different Elastic use cases in search and beyond. You will work closely with backend engineering, product, UX, and other data scientists to turn ambiguous, cutting-edge problems into measurable product improvements. You’ll help lead work on frontier problems such as folding RAG and vector search into an agent’s knowledge base, dynamically enriching model context to improve groundedness, shaping reasoning strategies and tool-selection policies, lighting up agent-driven visualizations on top of Elasticsearch data, and exploring multimodality where it can create meaningful user value. This is an applied leadership role: you will prototype, evaluate, influence roadmap direction, and help teams ship improvements that customers can feel. What You Will Be Doing Define the evaluation strategy for conversational and agentic search, including offline and online evaluation, golden datasets, rubrics, LLM-as-judge calibration, groundedness and citation checks, and A/B testing. Lead the design of quality metrics and decision frameworks for RAG, agents, tools, model selection, agent routing, prompt behavior, and cost/latency trade-offs. Build, compare, and guide improvements across retrieval and re-ranking approaches, including sparse and dense retrieval, vector search, query understanding, semantic rewrites, and context enrichment. Turn experimental results into product and business decisions: which models to use, how to route requests efficiently, which tools should be exposed, and how agents should be customized for different Elastic use cases. Partner with engineering to productionize evaluation pipelines, telemetry, dashboards, CI guardrails, and regression detection for chat quality, helpfulness, dedication, latency, and cost. Influence the roadmap by identifying the highest-leverage quality gaps, proposing practical solutions, and communicating trade-offs clearly to product, engineering, and leadership. Mentor other data scientists and engineers in experiment design, evaluation methodology, statistical rigor, and practical approaches to improving LLM-powered systems. Share outcomes through clear docs, notebooks, PRs, dashboards, technical proposals, and cross-functional reviews. What You Bring 8+ years of applied DS/ML experience, with deep expertise in IR, NLP, ranking, semantic search, RAG, or LLM-powered product experiences. Strong track record defining and leading evaluation for production AI/ML systems, including offline metrics, online experimentation, LLM-as-judge approaches, groundedness, citation quality, and model comparison. Experience influencing product and technical strategy through data, especially in ambiguous or emerging domains where the “right” metric or approach is not obvious at the start. Hands-on ability with Python, PyTorch/Transformers, Pandas, notebooks, reproducible experiments, versioned datasets, and clean, reviewable code. Strong understanding of retrieval systems, including dense and sparse retrieval, re-ranking, vector search, query understanding, and evaluation metrics such as nDCG, MRR, Recall@k, precision,and latency/cost trade-offs. Experience collaborating closely with engineering teams to move from prototype to production, including telemetry design, dashboards, CI guardrails, and quality regression tracking. Practical Elasticsearch experience, or experience with similar search and distributed data systems. ES|QL familiarity is a plus. Excellent written and verbal communication, with the ability to explain complex scientific and technical trade-offs to engineering, product, design, and leadership audiences. A collaborative, low-ego style and a strong ability to mentor, raise standards, and develop transparency for others in a distributed team. Compensation for this role is in the form of base salary. This role does not have a variable compensation component. At Elastic, our compensation philosophy aims to provide fair, competitive and transparent remuneration. Salary ranges are established based on a combination of external market benchmarks, internal pay equity considerations, and the responsibilities and complexity associated with each role. This approach helps ensure consistency across comparable roles while remaining competitive within the relevant labour markets. The final compensation offered within the applicable range will be determined based on several objective factors, including relevant professional experience, level of skills and expertise, alignment with the role requirements, and the overall scope and complexity of the position. The typical starting salary range for this role is: €73.300—€115.900 EUR Additional Information - We Take Care of Our People As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do. We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do. Competitive pay based on the work you do here and not your previous salary Health coverage for you and your family in many locations Ability to craft your calendar with flexible locations and schedules for many roles Generous number of vacation days each year Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service Up to 40 hours each year to use toward volunteer projects you love Embracing parenthood with minimum of 16 weeks of parental leave Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation. We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate_accessibility@elastic.co. We will reply to your request within 24 business hours of submission. Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster) Elasticsearch develops and distributes technology and information that is subject to U. S. and other countries’ export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic. Please see here for our Privacy Statement.", "summaryDescription" : "Principal Data Scientist - Agent Builder at Elastic", "postedDate" : "2026-06-15T23:26:19.410", "createdAt" : "2026-06-15T23:26:19.410", "lastUpdated" : "2026-06-16T08:10:42.353", "ingestTimestamp" : "2026-06-15T23:26:19.410", "mongoId" : "6a305a6af292fd229cf5054e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Executive", "dataQualityScore" : 0.7777778, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305a6af292fd229cf5054a", "title" : "Principal Data Scientist - Agent Builder", "company" : "Elastic", "salary" : { "min" : 150000.0, "max" : 220000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for Principal Data Scientist in the Technology industry in the Netherlands, adjusted for executive seniority and full-time employment." }, "location" : "Netherlands", "locations" : [ "Netherlands" ], "timestamp" : "2026-06-16T07:36:20.025", "fingerprint" : "42b69b81ccf5dedf71320a5bc295c55ce32b7b0ec8e693c0f0fd92c726510c75", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://jobs.elastic.co/jobs?gh_jid=8008503&gh_jid=8008503", "externalId" : "8008503", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Netherlands", "continent" : "eu", "workMode" : "onsite" } ], "locationText" : "Netherlands", "experienceMinYears" : 10, "experienceMaxYears" : 99, "experienceLevel" : "Principal", "remoteFriendly" : true, "rawDescription" : "Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role The Search Conversational Experiences team builds Elastic’s new conversational and agentic platform that lets customers chat with their own data in Elasticsearch. We build the core quality layer for RAG, agents and tools, retrieval and citations, streaming, memory, and the evaluation signals that turn open-ended questions into grounded, reliable answers. As a Principal Data Scientist, you will help set the technical direction for how we evaluate, improve, and scale chat quality across Elastic’s agentic platform. You will define the evaluation strategy that guides product decisions, including which models we standardize on, how we route requests across agents, which tools we enable and when, and how we tailor agents to different Elastic use cases in search and beyond. You will work closely with backend engineering, product, UX, and other data scientists to turn ambiguous, cutting-edge problems into measurable product improvements. You’ll help lead work on frontier problems such as folding RAG and vector search into an agent’s knowledge base, dynamically enriching model context to improve groundedness, shaping reasoning strategies and tool-selection policies, lighting up agent-driven visualizations on top of Elasticsearch data, and exploring multimodality where it can create meaningful user value. This is an applied leadership role: you will prototype, evaluate, influence roadmap direction, and help teams ship improvements that customers can feel. What You Will Be Doing Define the evaluation strategy for conversational and agentic search, including offline and online evaluation, golden datasets, rubrics, LLM-as-judge calibration, groundedness and citation checks, and A/B testing. Lead the design of quality metrics and decision frameworks for RAG, agents, tools, model selection, agent routing, prompt behavior, and cost/latency trade-offs. Build, compare, and guide improvements across retrieval and re-ranking approaches, including sparse and dense retrieval, vector search, query understanding, semantic rewrites, and context enrichment. Turn experimental results into product and business decisions: which models to use, how to route requests efficiently, which tools should be exposed, and how agents should be customized for different Elastic use cases. Partner with engineering to productionize evaluation pipelines, telemetry, dashboards, CI guardrails, and regression detection for chat quality, helpfulness, dedication, latency, and cost. Influence the roadmap by identifying the highest-leverage quality gaps, proposing practical solutions, and communicating trade-offs clearly to product, engineering, and leadership. Mentor other data scientists and engineers in experiment design, evaluation methodology, statistical rigor, and practical approaches to improving LLM-powered systems. Share outcomes through clear docs, notebooks, PRs, dashboards, technical proposals, and cross-functional reviews. What You Bring 8+ years of applied DS/ML experience, with deep expertise in IR, NLP, ranking, semantic search, RAG, or LLM-powered product experiences. Strong track record defining and leading evaluation for production AI/ML systems, including offline metrics, online experimentation, LLM-as-judge approaches, groundedness, citation quality, and model comparison. Experience influencing product and technical strategy through data, especially in ambiguous or emerging domains where the “right” metric or approach is not obvious at the start. Hands-on ability with Python, PyTorch/Transformers, Pandas, notebooks, reproducible experiments, versioned datasets, and clean, reviewable code. Strong understanding of retrieval systems, including dense and sparse retrieval, re-ranking, vector search, query understanding, and evaluation metrics such as nDCG, MRR, Recall@k, precision,and latency/cost trade-offs. Experience collaborating closely with engineering teams to move from prototype to production, including telemetry design, dashboards, CI guardrails, and quality regression tracking. Practical Elasticsearch experience, or experience with similar search and distributed data systems. ES|QL familiarity is a plus. Excellent written and verbal communication, with the ability to explain complex scientific and technical trade-offs to engineering, product, design, and leadership audiences. A collaborative, low-ego style and a strong ability to mentor, raise standards, and develop transparency for others in a distributed team. Compensation for this role is in the form of base salary. This role does not have a variable compensation component. At Elastic, our compensation philosophy aims to provide fair, competitive and transparent remuneration. Salary ranges are established based on a combination of external market benchmarks, internal pay equity considerations, and the responsibilities and complexity associated with each role. This approach helps ensure consistency across comparable roles while remaining competitive within the relevant labour markets. The final compensation offered within the applicable range will be determined based on several objective factors, including relevant professional experience, level of skills and expertise, alignment with the role requirements, and the overall scope and complexity of the position. The typical starting salary range for this role is: €67.000—€106.000 EUR Additional Information - We Take Care of Our People As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do. We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do. Competitive pay based on the work you do here and not your previous salary Health coverage for you and your family in many locations Ability to craft your calendar with flexible locations and schedules for many roles Generous number of vacation days each year Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service Up to 40 hours each year to use toward volunteer projects you love Embracing parenthood with minimum of 16 weeks of parental leave Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation. We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate_accessibility@elastic.co. We will reply to your request within 24 business hours of submission. Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster) Elasticsearch develops and distributes technology and information that is subject to U. S. and other countries’ export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic. Please see here for our Privacy Statement.", "summaryDescription" : "Principal Data Scientist - Agent Builder at Elastic", "postedDate" : "2026-06-15T23:25:21.410", "createdAt" : "2026-06-15T23:25:21.410", "lastUpdated" : "2026-06-16T07:36:20.025", "ingestTimestamp" : "2026-06-15T23:25:21.410", "mongoId" : "6a305a6af292fd229cf5054a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Executive", "dataQualityScore" : 0.7777778, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305a6af292fd229cf5054c", "title" : "Principal Data Scientist - Agent Builder", "company" : "Elastic", "industry" : "Technology", "salary" : { "min" : 150000.0, "max" : 220000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Principal Data Scientist in the Technology industry in the Netherlands, adjusted for executive seniority and full-time employment." }, "location" : "Netherlands", "locations" : [ "Netherlands" ], "timestamp" : "2026-06-16T07:17:32.597", "fingerprint" : "83fb6be16f038229467f7084b3e657227affb388d25a5b5e6bd0376be1f2d78f", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://jobs.elastic.co/jobs?gh_jid=8008504&gh_jid=8008504", "externalId" : "8008504", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Netherlands", "continent" : "eu", "workMode" : "onsite" } ], "locationText" : "Netherlands", "experienceMinYears" : 10, "experienceMaxYears" : 99, "experienceLevel" : "Principal", "remoteFriendly" : true, "rawDescription" : "Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role The Search Conversational Experiences team builds Elastic’s new conversational and agentic platform that lets customers chat with their own data in Elasticsearch. We build the core quality layer for RAG, agents and tools, retrieval and citations, streaming, memory, and the evaluation signals that turn open-ended questions into grounded, reliable answers. As a Principal Data Scientist, you will help set the technical direction for how we evaluate, improve, and scale chat quality across Elastic’s agentic platform. You will define the evaluation strategy that guides product decisions, including which models we standardize on, how we route requests across agents, which tools we enable and when, and how we tailor agents to different Elastic use cases in search and beyond. You will work closely with backend engineering, product, UX, and other data scientists to turn ambiguous, cutting-edge problems into measurable product improvements. You’ll help lead work on frontier problems such as folding RAG and vector search into an agent’s knowledge base, dynamically enriching model context to improve groundedness, shaping reasoning strategies and tool-selection policies, lighting up agent-driven visualizations on top of Elasticsearch data, and exploring multimodality where it can create meaningful user value. This is an applied leadership role: you will prototype, evaluate, influence roadmap direction, and help teams ship improvements that customers can feel. What You Will Be Doing Define the evaluation strategy for conversational and agentic search, including offline and online evaluation, golden datasets, rubrics, LLM-as-judge calibration, groundedness and citation checks, and A/B testing. Lead the design of quality metrics and decision frameworks for RAG, agents, tools, model selection, agent routing, prompt behavior, and cost/latency trade-offs. Build, compare, and guide improvements across retrieval and re-ranking approaches, including sparse and dense retrieval, vector search, query understanding, semantic rewrites, and context enrichment. Turn experimental results into product and business decisions: which models to use, how to route requests efficiently, which tools should be exposed, and how agents should be customized for different Elastic use cases. Partner with engineering to productionize evaluation pipelines, telemetry, dashboards, CI guardrails, and regression detection for chat quality, helpfulness, dedication, latency, and cost. Influence the roadmap by identifying the highest-leverage quality gaps, proposing practical solutions, and communicating trade-offs clearly to product, engineering, and leadership. Mentor other data scientists and engineers in experiment design, evaluation methodology, statistical rigor, and practical approaches to improving LLM-powered systems. Share outcomes through clear docs, notebooks, PRs, dashboards, technical proposals, and cross-functional reviews. What You Bring 8+ years of applied DS/ML experience, with deep expertise in IR, NLP, ranking, semantic search, RAG, or LLM-powered product experiences. Strong track record defining and leading evaluation for production AI/ML systems, including offline metrics, online experimentation, LLM-as-judge approaches, groundedness, citation quality, and model comparison. Experience influencing product and technical strategy through data, especially in ambiguous or emerging domains where the “right” metric or approach is not obvious at the start. Hands-on ability with Python, PyTorch/Transformers, Pandas, notebooks, reproducible experiments, versioned datasets, and clean, reviewable code. Strong understanding of retrieval systems, including dense and sparse retrieval, re-ranking, vector search, query understanding, and evaluation metrics such as nDCG, MRR, Recall@k, precision,and latency/cost trade-offs. Experience collaborating closely with engineering teams to move from prototype to production, including telemetry design, dashboards, CI guardrails, and quality regression tracking. Practical Elasticsearch experience, or experience with similar search and distributed data systems. ES|QL familiarity is a plus. Excellent written and verbal communication, with the ability to explain complex scientific and technical trade-offs to engineering, product, design, and leadership audiences. A collaborative, low-ego style and a strong ability to mentor, raise standards, and develop transparency for others in a distributed team. Compensation for this role is in the form of base salary. This role does not have a variable compensation component. At Elastic, our compensation philosophy aims to provide fair, competitive and transparent remuneration. Salary ranges are established based on a combination of external market benchmarks, internal pay equity considerations, and the responsibilities and complexity associated with each role. This approach helps ensure consistency across comparable roles while remaining competitive within the relevant labour markets. The final compensation offered within the applicable range will be determined based on several objective factors, including relevant professional experience, level of skills and expertise, alignment with the role requirements, and the overall scope and complexity of the position. The typical starting salary range for this role is: 831 700 kr—1 315 600 kr SEK Additional Information - We Take Care of Our People As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do. We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do. Competitive pay based on the work you do here and not your previous salary Health coverage for you and your family in many locations Ability to craft your calendar with flexible locations and schedules for many roles Generous number of vacation days each year Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service Up to 40 hours each year to use toward volunteer projects you love Embracing parenthood with minimum of 16 weeks of parental leave Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation. We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate_accessibility@elastic.co. We will reply to your request within 24 business hours of submission. Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster) Elasticsearch develops and distributes technology and information that is subject to U. S. and other countries’ export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic. Please see here for our Privacy Statement.", "summaryDescription" : "Principal Data Scientist - Agent Builder at Elastic", "postedDate" : "2026-06-15T23:24:36.526", "createdAt" : "2026-06-15T23:24:36.526", "lastUpdated" : "2026-06-16T07:17:32.597", "ingestTimestamp" : "2026-06-15T23:24:36.526", "mongoId" : "6a305a6af292fd229cf5054c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Executive", "dataQualityScore" : 0.7777778, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305a6af292fd229cf5054b", "title" : "Principal Data Scientist - Agent Builder", "company" : "Elastic", "industry" : "Technology", "salary" : { "min" : 145000.0, "max" : 215000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Principal Data Scientist in the Technology industry in the Netherlands, adjusted for executive seniority and full-time employment." }, "location" : "Netherlands", "locations" : [ "Netherlands" ], "timestamp" : "2026-06-16T10:08:58.213", "fingerprint" : "6c178ddd639013f96ee2ba83d5834512f7afcf12c54c3c726385d95d5fe35e21", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://jobs.elastic.co/jobs?gh_jid=8008495&gh_jid=8008495", "externalId" : "8008495", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Netherlands", "continent" : "eu", "workMode" : "onsite" } ], "locationText" : "Netherlands", "experienceMinYears" : 10, "experienceMaxYears" : 99, "experienceLevel" : "Principal", "remoteFriendly" : true, "rawDescription" : "Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role The Search Conversational Experiences team builds Elastic’s new conversational and agentic platform that lets customers chat with their own data in Elasticsearch. We build the core quality layer for RAG, agents and tools, retrieval and citations, streaming, memory, and the evaluation signals that turn open-ended questions into grounded, reliable answers. As a Principal Data Scientist, you will help set the technical direction for how we evaluate, improve, and scale chat quality across Elastic’s agentic platform. You will define the evaluation strategy that guides product decisions, including which models we standardize on, how we route requests across agents, which tools we enable and when, and how we tailor agents to different Elastic use cases in search and beyond. You will work closely with backend engineering, product, UX, and other data scientists to turn ambiguous, cutting-edge problems into measurable product improvements. You’ll help lead work on frontier problems such as folding RAG and vector search into an agent’s knowledge base, dynamically enriching model context to improve groundedness, shaping reasoning strategies and tool-selection policies, lighting up agent-driven visualizations on top of Elasticsearch data, and exploring multimodality where it can create meaningful user value. This is an applied leadership role: you will prototype, evaluate, influence roadmap direction, and help teams ship improvements that customers can feel. What You Will Be Doing Define the evaluation strategy for conversational and agentic search, including offline and online evaluation, golden datasets, rubrics, LLM-as-judge calibration, groundedness and citation checks, and A/B testing. Lead the design of quality metrics and decision frameworks for RAG, agents, tools, model selection, agent routing, prompt behavior, and cost/latency trade-offs. Build, compare, and guide improvements across retrieval and re-ranking approaches, including sparse and dense retrieval, vector search, query understanding, semantic rewrites, and context enrichment. Turn experimental results into product and business decisions: which models to use, how to route requests efficiently, which tools should be exposed, and how agents should be customized for different Elastic use cases. Partner with engineering to productionize evaluation pipelines, telemetry, dashboards, CI guardrails, and regression detection for chat quality, helpfulness, dedication, latency, and cost. Influence the roadmap by identifying the highest-leverage quality gaps, proposing practical solutions, and communicating trade-offs clearly to product, engineering, and leadership. Mentor other data scientists and engineers in experiment design, evaluation methodology, statistical rigor, and practical approaches to improving LLM-powered systems. Share outcomes through clear docs, notebooks, PRs, dashboards, technical proposals, and cross-functional reviews. What You Bring 8+ years of applied DS/ML experience, with deep expertise in IR, NLP, ranking, semantic search, RAG, or LLM-powered product experiences. Strong track record defining and leading evaluation for production AI/ML systems, including offline metrics, online experimentation, LLM-as-judge approaches, groundedness, citation quality, and model comparison. Experience influencing product and technical strategy through data, especially in ambiguous or emerging domains where the “right” metric or approach is not obvious at the start. Hands-on ability with Python, PyTorch/Transformers, Pandas, notebooks, reproducible experiments, versioned datasets, and clean, reviewable code. Strong understanding of retrieval systems, including dense and sparse retrieval, re-ranking, vector search, query understanding, and evaluation metrics such as nDCG, MRR, Recall@k, precision,and latency/cost trade-offs. Experience collaborating closely with engineering teams to move from prototype to production, including telemetry design, dashboards, CI guardrails, and quality regression tracking. Practical Elasticsearch experience, or experience with similar search and distributed data systems. ES|QL familiarity is a plus. Excellent written and verbal communication, with the ability to explain complex scientific and technical trade-offs to engineering, product, design, and leadership audiences. A collaborative, low-ego style and a strong ability to mentor, raise standards, and develop transparency for others in a distributed team. Compensation for this role is in the form of base salary. This role does not have a variable compensation component. At Elastic, our compensation philosophy aims to provide fair, competitive and transparent remuneration. Salary ranges are established based on a combination of external market benchmarks, internal pay equity considerations, and the responsibilities and complexity associated with each role. This approach helps ensure consistency across comparable roles while remaining competitive within the relevant labour markets. The final compensation offered within the applicable range will be determined based on several objective factors, including relevant professional experience, level of skills and expertise, alignment with the role requirements, and the overall scope and complexity of the position. The typical starting salary range for this role is: €102.700—€162.500 EUR Additional Information - We Take Care of Our People As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do. We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do. Competitive pay based on the work you do here and not your previous salary Health coverage for you and your family in many locations Ability to craft your calendar with flexible locations and schedules for many roles Generous number of vacation days each year Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service Up to 40 hours each year to use toward volunteer projects you love Embracing parenthood with minimum of 16 weeks of parental leave Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation. We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate_accessibility@elastic.co. We will reply to your request within 24 business hours of submission. Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster) Elasticsearch develops and distributes technology and information that is subject to U. S. and other countries’ export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic. Please see here for our Privacy Statement.", "summaryDescription" : "Principal Data Scientist - Agent Builder at Elastic", "postedDate" : "2026-06-15T23:23:07.738", "createdAt" : "2026-06-15T23:23:07.738", "lastUpdated" : "2026-06-16T10:08:58.213", "ingestTimestamp" : "2026-06-15T23:23:07.738", "mongoId" : "6a305a6af292fd229cf5054b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Executive", "dataQualityScore" : 0.7777778, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a309ca0f292fd229c0fc5c1", "title" : "Senior Data Scientist", "company" : "Calm", "industry" : "Healthcare", "salary" : { "min" : 172200.0, "max" : 225000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Minneapolis, Minnesota, United States", "locations" : [ "Minneapolis", "Minnesota", "United States", "New York", "New York", "United States", "San Francisco", "California", "United States" ], "timestamp" : "2026-06-16T12:31:23.594", "fingerprint" : "8e42258bbeb896b5ee33056fc149a3e674aebb37be760468719151e4e7f2b5e9", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/calm/jobs/8593223002", "externalId" : "8593223002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Minneapolis", "state" : "Minnesota", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "44.9772995,-93.2654692" } ], "locationText" : "Minneapolis, Minnesota, United States", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, R", "professionalSkills" : [ "Business intuition", "Decision-making", "Relationship management", "Presentation skills" ], "hardSkillsList" : [ "Data manipulation", "Experiment design", "Experiment analysis", "Experiment interpretation", "Statistical rigor" ], "softSkillsList" : [ "Pragmatic", "Impact-oriented" ], "hardSkills" : [ { "name" : "Data manipulation", "level" : "intermediate" }, { "name" : "Experiment design", "level" : "intermediate" }, { "name" : "Experiment analysis", "level" : "intermediate" }, { "name" : "Experiment interpretation", "level" : "intermediate" }, { "name" : "Statistical rigor", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Pragmatic" }, { "name" : "Impact-oriented" } ], "majorSkills" : "Data Science, Experimentation, Analytics", "majorSkillsList" : [ "Data Science", "Experimentation", "Analytics" ], "coreResponsibilities" : "Leverage consumer data, Prioritize product investments, Prioritize growth investments, Identify acquisition opportunities, Identify conversion opportunities, Identify engagement opportunities, Identify retention opportunities, Identify subscriber growth opportunities, Automate analyses, Automate data products, Partner with product teams, Perform deep-dive analysis, Understand user engagement behavior, Design experiments, Implement experiments, Analyze experiments, Measure impact of new features, Bridge gap between data and action, Inform key decision-makers, Build internal data products, Drive team success", "teamCollaboration" : "Collaborate with stakeholders; Partner with product teams; Collaborate with technical teams; Collaborate with non-technical teams; Develop cross-functional partnerships", "domainKnowledge" : "Consumer mental health; Subscription businesses; Digital consumer products", "domainList" : [ "consumer-mental-health", "subscription-businesses", "digital-consumer-products" ], "domainSpecificKnowledge" : [ "Consumer mental health", "Subscription businesses", "Digital consumer products" ], "toolProficiency" : [ "Amplitude", "Tableau", "Mode" ], "communicationSkills" : "Communicate trends; Translate business requirements; Translate technical solutions", "problemSolvingSkills" : "Ambiguous business questions; Practical decision-making", "qualificationsBasic" : "Proficiency in SQL, Comfort manipulating data with Python or R, BAS in quantitative field, Experience designing experiments, Experience analyzing experiments, Experience interpreting experiments, Translate business requirements to technical solutions, Translate technical solutions to business outcomes, 5 years of data science experience", "qualificationsPreferred" : "Experience with digital consumer products, Experience with subscription businesses, Experience supporting product analytics, Experience supporting experimentation, Experience supporting user acquisition, Experience supporting lifecycle marketing, Experience supporting retention, Experience with causal inference, Experience with incrementality testing, Experience with attribution, Experience with marketing measurement, Experience with product analytics tools, Experience with BI tools, Experience building scalable analyses, Experience building scalable reporting, Experience building scalable measurement frameworks", "remoteFriendly" : false, "rawDescription" : "About Calm Calm is a leading consumer mental health company on a mission to support everyone on every step of their mental health journey. Known for its flagship consumer app—ranked #1 in its category with over 180 million downloads and availability in seven languages across 190 countries—Calm helps people sleep better, stress less, and live more mindfully through content and tools from experts and beloved celebrity voices. Building on this foundation, Calm has created a broader portfolio including evidence-based solutions like Calm Health, offered through employers, health plans and providers, designed to expand access to mental health and sleep support, boost benefits engagement, and drive positive health outcomes. Today, Calm supports more than 3,500 organizations and reaches over 42 million covered lives through Calm Health. Calm has been recognized as a TIME100 Most Influential Company and one of Fast Company’s Brands That Matter. Learn more at calm.com. What We Do We are a team of insights specialists that focus on finding insights relevant to driving business outcomes across the Calm organization. For us, the business problem comes first (what are we trying to solve?) and the analysis follows (how do we best solve this problem?). Sometimes the solution is straightforward and sometimes it is highly complex, but in all cases we rely on data to drive our solutions. What You’ll Do As a Senior Data Scientist you will leverage Calm’s consumer data to help prioritize product and growth investments, identify opportunities to improve acquisition, conversion, engagement, retention, and subscriber growth, and automate analyses and data products for key decision-makers. In this role, you will partner across product and growth marketing to turn ambiguous business questions into clear analyses, experimentation plans, and actionable recommendations. You will use data to understand user behavior, measure the impact of product and marketing initiatives, and help teams make better decisions faster. This position is ideal for candidates who enjoy diving into new domains, building business intuition, and balancing statistical rigor with practical decision-making. You Will: Collaborate with stakeholders across product and growth marketing to analyze and communicate how trends in key metrics affect business performance Partner with product teams to perform deep-dive analysis to understand user engagement behavior Design, implement and analyze experiments to measure the impact of new features on core product metrics Collaborate with partners across technical and non-technical teams to bridge the gap between data and action Help key-decision makers stay informed about the state of the business through internal data products built in tools like Amplitude, Tableau and Mode Develop strong cross-functional partnerships across Calm to drive our team's success Who You Are Strong proficiency in SQL Comfortable manipulating data with Python or R BA/BS in quantitative field such as Statistics, Mathematics, Economics, Computer Science, Engineering, or a related discipline Experience with designing, analyzing, and interpreting experiments Ability to translate non-technical business requirements into technical solutions, and translate technical solutions into business outcomes Strong relationship management and presentation skills Pragmatic and impact-oriented, with the ability to balance scrappiness and rigor Nice to Haves Experience working on digital consumer products or subscription businesses Experience supporting product analytics, experimentation, user acquisition, lifecycle marketing, or retention Experience with causal inference, incrementality testing, attribution, or marketing measurement Experience working with product analytics and BI tools such as Amplitude, Tableau, and Mode Experience building scalable analyses, reporting, or measurement frameworks that enable self-service decision-making Minimum Requirements 5 years of data science experience Calm uses a geographic pay model that determines salaries based on the location where an employee lives. For this position, the base pay range across Calm’s pay tiers is as follows: $172,200 - $225,000. The base pay range represents the low and high end of Calm’s salary range for this position. Not all candidates will be eligible for the upper end of the salary range. Exact salary will ultimately depend on multiple factors, which include the successful candidate's geographic location, skills, experience and other qualifications. Calm uses employee zip code to determine which pay range applies. This role is also eligible for equity + comprehensive benefits + 401k + flexible time off. Calm may incorporate artificial intelligence technology to support the application review process, but rest assured that human reviewers are involved in all stages of the hiring process. Calm is committed to providing reasonable accommodations for qualified individuals with disabilities, including disabled veterans. If you require a reasonable accommodation to complete any part of the application or interview process, please contact Calm’s Recruiting team at recruitingaccommodations@calm.com. All accommodation requests will be handled confidentially and assessed on a case-by-case basis. We believe that mental health is health, and every person should be considered in the discussion. That’s why we’re proud to be an equal opportunity workplace, committed to providing equal employment opportunities to all applicants and employees regardless of race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity or expression, sexual orientation, or any other characteristic protected by applicable federal, state or local law. Calm is deeply committed to diversity, equity and inclusion. We strive to create a mindful and respectful environment where everyone can bring their authentic self to work, and experience a culture that is free of harassment, racism, and discrimination. Employment offers are contingent upon the successful completion of a background check. Roles which require access to certain types of information may also require the successful completion of a drug screening. FOR US BASED POSITIONS: Calm participates in e-verify. E-verify provides the federal government with your Form I-9 information to confirm that you are authorized to work in the U. S. Right to Work E-Verify Participation", "summaryDescription" : "Senior Data Scientist at Calm. Skills: Data Science, Experimentation, Analytics. Leverage consumer data. Prioritize product investments", "postedDate" : "2026-06-16T03:17:27.031", "createdAt" : "2026-06-16T03:17:27.031", "lastUpdated" : "2026-06-16T12:31:23.594", "ingestTimestamp" : "2026-06-16T03:17:27.031", "mongoId" : "6a309ca0f292fd229c0fc5c1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 172200, "salaryAnnualMax" : 225000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Data manipulation", "Experiment design", "Experiment analysis", "Experiment interpretation", "Statistical rigor", "Pragmatic", "Impact-oriented", "Data Science", "Experimentation", "Analytics", "Business intuition", "Decision-making", "Relationship management", "Presentation skills", "Consumer mental health", "Subscription businesses", "Digital consumer products", "Amplitude", "Tableau", "Mode" ], "skillCount" : 20, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a3086bdf292fd229c082edc", "title" : "Senior Data Scientist", "company" : "Teads", "industry" : "Media", "salary" : { "min" : 55000.0, "max" : 80000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Data Scientist in Ljubljana, Slovenia, adjusted for the technology industry and senior experience level." }, "location" : "Ljubljana", "locations" : [ "Ljubljana", "Paris" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T11:23:18.386", "fingerprint" : "47ef5bfcbc5879be9dd3f1884ea823b705391473c3b0818f7055713fcee9e7a4", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/teads1/jobs/4898147101", "externalId" : "4898147101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Ljubljana", "country" : "Slovenia", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "46.0500268,14.5069289" } ], "locationText" : "Ljubljana, Slovenia", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Scala, TypeScript, Python, SQL, Spark, Dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, SageMaker, GCP, Vertex AI, Azure, ML Studio", "professionalSkills" : [ "Predictive modeling", "Online learning", "High-dimensional embeddings", "Scientific methodology", "Model implementation" ], "hardSkillsList" : [ "CTR prediction", "Online learning regimes", "High-dimensional embeddings", "Model implementation" ], "softSkillsList" : [ "Critical thinking" ], "hardSkills" : [ { "name" : "CTR prediction", "level" : "intermediate" }, { "name" : "Online learning regimes", "level" : "intermediate" }, { "name" : "High-dimensional embeddings", "level" : "intermediate" }, { "name" : "Model implementation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Critical thinking" } ], "majorSkills" : "Data Science, Machine Learning, AI, AdTech research", "majorSkillsList" : [ "Data Science", "Machine Learning", "AI", "AdTech research" ], "coreResponsibilities" : "Innovate at scale, Stay at forefront of AdTech research, Focus on CTR prediction, Focus on online learning regimes, Focus on high-dimensional embeddings, Design models, Understand model fit into code stack, Dismantle scientific paper, Critique methodology, Implement core findings, Explain transformer-based ranking system", "teamCollaboration" : "Applied research team; AI department; Product teams", "domainKnowledge" : "AdTech; Online advertising; Campaign outcomes; Prediction systems; Control systems; Online trained models", "domainList" : [ "adtech", "online-advertising", "campaign-outcomes", "prediction-systems", "control-systems", "online-trained-models" ], "domainSpecificKnowledge" : [ "AdTech", "Online advertising", "Campaign outcomes", "Prediction systems", "Control systems", "Online trained models" ], "toolProficiency" : [ "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow" ], "communicationSkills" : "Explain complex concepts", "continuousLearning" : "In-house training; External training; Internal mobility", "innovationCreativity" : "Innovate at Scale", "problemSolvingSkills" : "Critical Thinking; Critique methodology; Implement core findings", "qualificationsBasic" : "5+ years experience, SQL proficiency, Bachelor's degree", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified, Dbt Certified", "workSiteFlexibility" : "Hybrid", "rawDescription" : "About Teads Teads is a leading omnichannel advertising platform focused on driving outcomes for brand and performance advertisers across screens. With a focus on meaningful business outcomes for branding and performance objectives, Teads drives value by leveraging predictive AI technology to connect quality media, beautiful brand creative, and context-driven addressability and measurement. Teads is directly partnered with more than 10,000 publishers and 20,000 advertisers globally. The company is headquartered in New York, New York with a global team of around 1,700 people in 30+ countries. For more information, visit www.teads.com. Our main Engineering challenges at Teads Build efficient and easy-to-use web products used by thousands of users working for the world’s most premium publishers, advertisers, and agencies. Rich and diverse tech stack and system architecture to optimize for performance, scalability, resiliency, and cost efficiency. We use mostly Scala and TypeScript, among others. Working in a very high-traffic environment (2.2 billion users per month, 100 billion events per day) with low latency and high availability constraints (2 million requests per second, responses in less than 150 milliseconds). Management of large datasets with milliseconds order of magnitude access time, to compute in a near real-time complex auction resolution algorithm (18 million predictions per second). A fast-changing environment where we continuously collaborate with Product teams and constantly adapt our Cloud infrastructure for new features and Products. Bring a wide diversity of profiles to the same level of quality and knowledge Work in an international environment with offices located in Israel, Slovenia and France. About the opportunity We are looking for a Senior Data Scientist to join a team of applied research. The AI department currently consists of 50 people who are a mix of data scientists, machine learning and backend engineers. The department provides technologies that power outcomes of campaigns with a total yearly turn over of $1.7B. Runs large scale prediction and control systems for ad delivery, dealing with millions of live ads, doing more than a billion predictions per second based on large on-line trained models being updated every 5 minutes. What will you do? As a Data Scientist, your mission will be to: Innovate at Scale: Stay at the forefront of AdTech research, focusing on CTR prediction, online learning regimes, and high-dimensional embeddings. Bridge Research you don’t just design models, you understand how they fit into the code stack. Critical Thinking: The ability to dismantle a scientific paper, critique its methodology, and implement its core findings effectively. Communication: A knack for making the complex simple. You can explain a transformer-based ranking system to a peer or a product manager with equal clarity. Please submit your CV in English. We care about you Career Development: Continuous investment in our employees’ skills: in-house and external training, internal mobility … Life Balance: A well-balanced work-life for our employees is one of our top priorities: 22 days off per year, hybrid work (3 days per week in the office) Wellness: Prioritizing employee well-being through premium work equipment, enjoyable work environment (work-life balance, team building events, summits), remote work subsidy, promoting Diversity & Inclusion with internal & external initiatives, etc. #LI-Hybrid Life at Teads At Teads, we don’t just offer new roles - we blend creativity, technology, and data to shape the future of media. You’ll work with smart humans, meaningful brands, and cool tools, all while helping redefine how advertising works in a world that demands more transparency, better insights, and smarter strategies. As a Teadster, you’ll play a critical role in shaping our future success in the region. Here’s why Teads stands out: We've merged two open internet category leaders—Outbrain and Teads—to create the ‘new’ Teads, a unified omnichannel platform that drives results from branding to performance across all screens, including CTV, mobile, and web. As part of our team, you’ll thrive in a collaborative and forward-thinking environment that fosters innovation, creative problem-solving, and continuous learning. Teads is committed to your success, offering the support, tools, and development opportunities you need to excel in your role. Our company culture is welcoming, dynamic, diverse, global, and built on top performance. Teads is an equal employment opportunity employer and committed to diversity and inclusion at all stages of recruitment and employment. Our team is made up of individuals who are approachable, resourceful, passionate, and proactive. We foster a sense of belonging through our Employee Resource Groups – employee-led groups in which we debate topics and drive change: environmental, women empowerment, charitable initiatives to diversity, equity, and inclusion, you’ll be able to share your passions with likeminded people.", "summaryDescription" : "Senior Data Scientist at Teads. Skills: Data Science, Machine Learning, AI, AdTech research. Innovate at scale. Stay at forefront of AdTech research", "postedDate" : "2026-06-16T01:22:02.308", "createdAt" : "2026-06-16T01:22:02.308", "lastUpdated" : "2026-06-16T11:23:18.386", "ingestTimestamp" : "2026-06-16T01:22:02.308", "mongoId" : "6a3086bdf292fd229c082edc", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "CTR prediction", "Online learning regimes", "High-dimensional embeddings", "Model implementation", "Critical thinking", "Data Science", "Machine Learning", "AI", "AdTech research", "Predictive modeling", "Online learning", "Scientific methodology", "AdTech", "Online advertising", "Campaign outcomes", "Prediction systems", "Control systems", "Online trained models", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow" ], "skillCount" : 29, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305930f292fd229cf45a36", "title" : "Senior Data Scientist", "company" : "Jerry.ai", "industry" : "Data", "salary" : { "min" : 150000.0, "max" : 170000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "New York, New York", "locations" : [ "New York, New York", "San Francisco Bay Area", "Boston, Massachusetts", "Atlanta, Georgia", "Denver, Colorado", "Austin, Texas", "Miami, Florida" ], "timestamp" : "2026-06-16T09:41:18.078", "fingerprint" : "90d8c2b2f42e7daa826e6f904c86b279a91b0b8126f33d1e8f41f58dab8af56f", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/Jerry.ai/b0db6399-5528-4edd-8bb5-f32dd38a5ad5/application", "externalId" : "b0db6399-5528-4edd-8bb5-f32dd38a5ad5", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, Clickhouse, Metabase, Jupyter Hub, GitHub", "professionalSkills" : [ "First principles thinking", "Analytical ability", "Problem solving" ], "hardSkillsList" : [ "Data analysis", "Data interpretation", "Experiment design" ], "softSkillsList" : [ "First principles thinker", "Direct communicator", "Owner" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data interpretation", "level" : "intermediate" }, { "name" : "Experiment design", "level" : "intermediate" } ], "softSkills" : [ { "name" : "First principles thinker" }, { "name" : "Direct communicator" }, { "name" : "Owner" } ], "toolProficiency" : [ "SQL", "Metabase", "Python", "Jupyter Hub", "GitHub" ], "qualificationsBasic" : "4+ years of experience, Analytical ability to pull, structure, and interpret data independently, Track record of owning ambiguous problems and delivering impact, Clear, persuasive communicator who can influence decisions at the leadership level", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : false, "rawDescription" : "Why We Exist Your car and your home are your most important assets, yet the experience of owning them is stuck in the 90s. Every part of the journey — buy/sell, insurance, maintenance, repairs — is fragmented, complicated, and expensive. Jerry.ai http://Jerry.ai is building the first app to manage it all. We started with car insurance in 2019, became one of the top 3 brokers in the U.S., then added driving insights, diagnostics, and a repair marketplace. We've reached 5M+ customers, raised $240M+, scaled revenue 70X, and became profitable in early 2024. We're now expanding into adjacent verticals (e.g. home, motorcycle, RV, etc) to become the one-stop-shop for all your physical assets. Why We’re Hiring Our Data Science & Analytics team has been a force multiplier and accelerant to our business that has helped us reach these pivotal milestones in spite of headwinds and within a highly competitive market. They are a team of former McKinsey, BCG and Bain consultants who drive data & insights, and inform decision-making across every corner of our business. They are analytical powerhouses and first principles problem solvers who push forward our most important initiatives across product, growth, tech, and operations. Every business unit has a Data Science team member embedded within it — someone who doesn't just run analyses and build dashboards, but shapes what questions we should ask, what data to pull, what conclusions to draw, what decisions to make, and then drives our teams towards our next goal: go from 5M to 50M customers and become a $10B business in the next 4 years. As our business continues to expand, there is growing demand for more Data Science team members. We are hiring 4-6 people to drive impact in these areas: - Growth Marketing - Product Development - AI & Automation - Strategic Partnerships On leveling: You may see job ads for this role at different job levels. Our priority is finding the right people, we can be flexible with job title/leveling. Why You Will (Or Won't) Like Working Here - No slides: If you've worked in consulting, you know what it feels like to be up at 3am reformatting a deck. That doesn't exist here. The only work that gets done at Jerry is work that will materially change the trajectory of our business — an important product, a new growth channel, a key metric, a critical partner relationship, etc. - No corporate fluff: The Data Science & Analytics team is 14 insatiable learners who care deeply about solving difficult problems and making a tangible impact. Every person owns a critical domain. There is no bloat, unnecessary meetings, or waiting for approvals. - Hands-on: This is not a pure strategy role, you will also own execution. Your day-to-day will be surfacing analytical insights, driving decisions, and seeing them through end-to-end. What You'll Own You'll sit on our central Data Science & Analytics team but you’ll be embedded in one of Jerry's core business areas — growth, product, AI and automation, strategic partnerships — and own the analytical function for that business unit end-to-end. - Define the right problems: Before any analysis, understand what business question it's answering and what decision it will inform. Push back if the question is flawed. - Data and insights: Define metrics, build reports, run analyses, design experiments, and surface data insights that move your team's key metrics. - Drive outcomes: Bring recommendations to your counterparts in product, growth, finance or operations, tell them what's happening and why, and what next steps should be. Who You Are - First principles thinker: You break ambiguous problems into clear hypotheses before touching data. You're analytically strong (comfortable with SQL or Python) but your instinct is to ask \"what are we trying to solve here?\" before jumping to \"what should I build?\" - Direct communicator: You can walk a skeptical stakeholder through a complex finding and get buy-in quickly. You write clearly, speak precisely, and don't bury the lede. - Owner: You act like your name is on the door. If something is broken, you feel responsible for fixing it, even if it’s outside of your swim lane. What You'll Bring - 4+ years of experience at a consulting firm, investment bank, or high-growth technology company. - Strong analytical skills; ability to pull, structure, and interpret data independently. - Track record of owning ambiguous problems and delivering impact. - Clear, persuasive communicator who can influence decisions at the leadership level. Our Tools SQL (Clickhouse), Metabase, Python, Jupyter Hub, GitHub. While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai recruiting@getjerry.com The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.", "summaryDescription" : "Senior Data Scientist at Jerry.ai", "createdAt" : "2026-06-16T00:32:14.256", "lastUpdated" : "2026-06-16T09:41:18.078", "ingestTimestamp" : "2026-06-16T00:32:14.256", "mongoId" : "6a305930f292fd229cf45a36", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 150000, "salaryAnnualMax" : 170000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Data analysis", "Data interpretation", "Experiment design", "First principles thinker", "Direct communicator", "Owner", "First principles thinking", "Analytical ability", "Problem solving", "SQL", "Metabase", "Python", "Jupyter Hub", "GitHub" ], "skillCount" : 14, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305930f292fd229cf45a37", "title" : "Senior Data Scientist", "company" : "Jerry.ai", "industry" : "Data", "salary" : { "min" : 150000.0, "max" : 170000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "Los Angeles, California", "locations" : [ "Los Angeles, California", "Chicago, Illinois", "Raleigh, North Carolina", "Nashville, Tennessee", "Phoenix, Arizona", "Salt Lake City, Utah", "Dallas, Texas" ], "timestamp" : "2026-06-16T12:30:15.364", "fingerprint" : "2764fbc210379a384b9577a21ad343ac8e54373b858d3bd41177afbd71b16d87", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/Jerry.ai/ac416a08-b8ee-456d-a0ff-5f72562fedfe/application", "externalId" : "ac416a08-b8ee-456d-a0ff-5f72562fedfe", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Los Angeles", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "34.0536909,-118.2427660" } ], "locationText" : "Los Angeles, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, Jupyter Hub, GitHub", "professionalSkills" : [ "First principles thinking", "Analytical ability", "Problem solving" ], "hardSkillsList" : [ "Data analysis", "Experiment design", "Metric definition" ], "softSkillsList" : [ "First principles thinker", "Direct communicator", "Owner" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Experiment design", "level" : "intermediate" }, { "name" : "Metric definition", "level" : "intermediate" } ], "softSkills" : [ { "name" : "First principles thinker" }, { "name" : "Direct communicator" }, { "name" : "Owner" } ], "coreResponsibilities" : "Define the right problems, Understand business questions, Inform decision-making, Build reports, Run analyses, Design experiments, Surface data insights, Bring recommendations, Drive outcomes", "toolProficiency" : [ "Clickhouse", "Metabase" ], "qualificationsBasic" : "4+ years of experience, Analytical ability to pull, structure, and interpret data independently, Track record of owning ambiguous problems and delivering impact, Clear, persuasive communicator who can influence decisions at the leadership level", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : true, "rawDescription" : "Why We Exist Your car and your home are your most important assets, yet the experience of owning them is stuck in the 90s. Every part of the journey — buy/sell, insurance, maintenance, repairs — is fragmented, complicated, and expensive. Jerry.ai http://Jerry.ai is building the first app to manage it all. We started with car insurance in 2019, became one of the top 3 brokers in the U.S., then added driving insights, diagnostics, and a repair marketplace. We've reached 5M+ customers, raised $240M+, scaled revenue 70X, and became profitable in early 2024. We're now expanding into adjacent verticals (e.g. home, motorcycle, RV, etc) to become the one-stop-shop for all your physical assets. Why We’re Hiring Our Data Science & Analytics team has been a force multiplier and accelerant to our business that has helped us reach these pivotal milestones in spite of headwinds and within a highly competitive market. They are a team of former McKinsey, BCG and Bain consultants who drive data & insights, and inform decision-making across every corner of our business. They are analytical powerhouses and first principles problem solvers who push forward our most important initiatives across product, growth, tech, and operations. Every business unit has a Data Science team member embedded within it — someone who doesn't just run analyses and build dashboards, but shapes what questions we should ask, what data to pull, what conclusions to draw, what decisions to make, and then drives our teams towards our next goal: go from 5M to 50M customers and become a $10B business in the next 4 years. As our business continues to expand, there is growing demand for more Data Science team members. We are hiring 4-6 people to drive impact in these areas: - Growth Marketing - Product Development - AI & Automation - Strategic Partnerships On leveling: You may see job ads for this role at different job levels. Our priority is finding the right people, we can be flexible with job title/leveling. Why You Will (Or Won't) Like Working Here - No slides: If you've worked in consulting, you know what it feels like to be up at 3am reformatting a deck. That doesn't exist here. The only work that gets done at Jerry is work that will materially change the trajectory of our business — an important product, a new growth channel, a key metric, a critical partner relationship, etc. - No corporate fluff: The Data Science & Analytics team is 14 insatiable learners who care deeply about solving difficult problems and making a tangible impact. Every person owns a critical domain. There is no bloat, unnecessary meetings, or waiting for approvals. - Hands-on: This is not a pure strategy role, you will also own execution. Your day-to-day will be surfacing analytical insights, driving decisions, and seeing them through end-to-end. What You'll Own You'll sit on our central Data Science & Analytics team but you’ll be embedded in one of Jerry's core business areas — growth, product, AI and automation, strategic partnerships — and own the analytical function for that business unit end-to-end. - Define the right problems: Before any analysis, understand what business question it's answering and what decision it will inform. Push back if the question is flawed. - Data and insights: Define metrics, build reports, run analyses, design experiments, and surface data insights that move your team's key metrics. - Drive outcomes: Bring recommendations to your counterparts in product, growth, finance or operations, tell them what's happening and why, and what next steps should be. Who You Are - First principles thinker: You break ambiguous problems into clear hypotheses before touching data. You're analytically strong (comfortable with SQL or Python) but your instinct is to ask \"what are we trying to solve here?\" before jumping to \"what should I build?\" - Direct communicator: You can walk a skeptical stakeholder through a complex finding and get buy-in quickly. You write clearly, speak precisely, and don't bury the lede. - Owner: You act like your name is on the door. If something is broken, you feel responsible for fixing it, even if it’s outside of your swim lane. What You'll Bring - 4+ years of experience at a consulting firm, investment bank, or high-growth technology company. - Strong analytical skills; ability to pull, structure, and interpret data independently. - Track record of owning ambiguous problems and delivering impact. - Clear, persuasive communicator who can influence decisions at the leadership level. Our Tools SQL (Clickhouse), Metabase, Python, Jupyter Hub, GitHub. While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai recruiting@getjerry.com The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.", "summaryDescription" : "Senior Data Scientist at Jerry.ai. Define the right problems. 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Teams catch, flag, and fix real issues before they ship, powered by security that learns as they build. Semgrep secures code as it’s written and provides guardrails that pave the road for developers to move fast and stay secure. Built for builders and trusted by security, Semgrep lives where developers work, delivering fixes without breaking flow, and giving security teams visibility, control, and confidence. Semgrep gets smarter as you build, with AI that learns your context to cut false positives and prioritize reachable vulnerabilities, validated by 95% of security reviewers across 6M+ findings. Semgrep makes zero false positives a reality with AppSec teams triaging 80% fewer false positives across Code and Supply Chain, dramatically shrinking the backlog. Founded in San Francisco and backed by Menlo Ventures, Felicis Ventures, Lightspeed Venture Partners, Redpoint Ventures, and Sequoia Capital, Semgrep is recognized by Gartner in Application Security Testing and is trusted by leading organizations, including Vanta, Lyft, and Dropbox. Learn more at semgrep.dev http://semgrep.dev. ABOUT THE ROLE You will be an early member of Semgrep’s data team. Your mission will be to define how an entire company uses data, always striving to best improve our users’ security. You will work on a diverse set of problems, touching every aspect of the startup: extracting product insights from usage metrics, determining business strategy from market data, crafting production data pipelines, and defining where to direct our security research. This is a growth role: while you will start as an individual contributor, initially contributing to a quarter-long project while growing your technical skill set and domain knowledge to start taking on more responsibility and influencing data and business decisions within the company/ Along the way, you will work with a dedicated group of full-stack, backend, and infrastructure engineers, as well as security researchers and program-analysis developers. You will learn what it means to have “secure-by-default” code. You will meet and collaborate with security-industry scions. And, as a member of our team, you’ll be a part of the decisions that make a high-growth startup successful. Your work will be critical to our mission. Every feature you build will have a measurable impact on our users’ lives. We’re excited to see what you do. WHAT YOU'LL DO - Contribute to specific data science projects and initiatives at Semgrep; discovering each department’s most pressing data problems, and proactively identifying the most critical areas to focus your efforts - Bring your wide knowledge of data-science approaches to each problem you solve: the first day you might build a dashboard to track Board level metrics for the Engineering team, the second you might apply multivariate regression to identify important product features, the third you might apply active-learning techniques to guide data collection and labeling - Iteratively tackle problems as a series of experiments, proving the value of your work with proof-of-concept to ever more refined results - Convince your peers of your conclusions with clear data visualizations and well-reasoned explanation - Help grow your team through the recruitment and hiring of top data talent YOU ARE IDEAL FOR THIS ROLE IF YOU HAVE - 4+ years of experience in data and strategy fields - Knowledge of data-science approaches; this may include machine-learning algorithms, optimization methods or symbolic artificial-intelligence, but should also include statistical methods and “good-enough” heuristics — and the taste to know when to use each - Experience clearly visualizing information and experimental results across the full company stack: Board-level, leadership team, and individual team leads - Sufficient familiarity with production data-processing pipelines to construct them working together with generalist infrastructure engineers; tools we use include S3, FiveTran, DBT, Snowflake, Metabase, Retool, Sagemaker/JupyterNotebook (Python) - Aptitude delivering technical projects via rapid iterative development - Experience working on a small team in a fast-paced environment and are willing to experiment with different approaches before settling on the best and most elegant solution given time constraints - Excellent, proactive communication, both verbal and written SOME EXAMPLE PROJECTS THAT YOU MIGHT WORK ON INCLUDE - Build a client-facing dashboard showing scan time metrics over time to show how the product is improving - Work together with Product leadership to identify the correct north-star metrics to measure Product usage and what features to build next - Partner with the rule-writing team to identify the most impactful rules and languages to focus on in real-time - Build out cleaned/medallion Silver and Gold tables in our Data Lakehouse for internal engineering and product teams to self-serve their analytics needs - Build an S3 → Snowflake data pipeline and processing engine to improve Repo contributor count metrics for Billing team - Build a statistical model that analyzes pseudonymous usage data to recommend the next features built into the Semgrep open-source tool - Consume infrastructure observation metrics to identify and address potential Semgrep.dev http://Semgrep.dev registry outages before they occur - Recruit varied and disjoint data into a “North Star” metric for the performance of the Semgrep open-source tool over time - Craft a security-rule-recommendation decision tree, using codebase features like languages, frameworks, code sentiment, and commit-message sentiment, to deliver targeted, high-value static-analysis rules to users Location expectations: - Our expectation is that this role will be hybrid - requiring 3 days a week in our San Francisco office. COMPENSATION The estimated starting annual salary range for this position is $163,000 - $204,000 USD. The actual base salary will be determined based on a number of factors, which may include job-related skills, relevant experience, qualifications, location, internal equity, and market data. In addition to base salary, total compensation may include equity, variable compensation, and benefits. We view equity as a meaningful part of our compensation philosophy and a way for employees to share in the long-term value they help create. Compensation ranges are reviewed regularly and may be adjusted as the role, individual performance, or market conditions evolve. WHAT WE OFFER (FTE ONLY) Our goal is to competitively and fairly compensate every Semgrep employee with a system that equally rewards those who are vocal and those who are less comfortable making demands during the final steps of the hiring process. To that end, we generate internal compensation bands that are used when discussing and negotiating salaries. We update these based on market data to make sure they’re above the average for comparable roles. We invest in our employees’ well-being and long-term success through a competitive, market-aligned benefits program that meets or exceeds local market standards across all of the regions in which we hire. Benefits offerings vary by location to reflect local requirements and norms. For more detailed, location-specific information, please visit Semgrep Benefits https://www.notion.so/semgrep/Semgrep-Benefits-1593009241a88029bd7edf1fed1dfde2. WHO WE ARE We bring together people from a wide range of backgrounds and disciplines—from physics and philosophy to formal methods research and full-fledged corporations. We’re new parents and new grads, dog lovers and dogfooders. We get together often to bike, bake, and meet up in parks. In our interactions, we believe respect and honesty go hand in hand, and prioritize both. Semgrep is an equal-opportunity employer seeking a diverse range of backgrounds. We value who you are — including your cultural heritage, your socioeconomic status, your age, your race, your gender, your sexual orientation, your disabilities. We value what’s vitally important to you — your family, your religion, your politics. We value what you love in this world — your music, your weekend pursuits. We believe in welcoming varied professional backgrounds, educations, and interests. If you’re exceptional in your role, believe in Semgrep’s mission, and treat Semgrep’s values as your own, you belong here. Please Note: For US-based roles open to remote work, we are currently able to hire employees in the following states only: Arizona, California, Colorado, Connecticut, District of Columbia, Florida, Georgia, Illinois, Maryland, Massachusetts, Michigan, Missouri, Nebraska, New Jersey, New York, North Carolina, Oregon, Tennessee, Texas, Virginia, Washington, and Wisconsin.", "summaryDescription" : "Senior Data Scientist at Semgrep. Skills: Data science, Machine learning, Data pipelines. Contribute to data science projects. Discover data problems", "createdAt" : "2026-06-16T00:30:34.222", "lastUpdated" : "2026-06-16T08:46:42.913", "ingestTimestamp" : "2026-06-16T00:30:34.222", "mongoId" : "6a305985f292fd229cf487d2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 185000, "salaryAnnualMax" : 265000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Data science", "Statistical analysis", "Multivariate regression", "Active-learning techniques", "Machine learning", "Data pipelines", "Data science approaches", "Iterative development", "Data visualization", "Code security", "Application security testing", "S3", "FiveTran", "DBT", "Snowflake", "Metabase", "Retool", "Sagemaker", "Jupyter Notebook" ], "skillCount" : 19, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305098f292fd229cef28f6", "title" : "Senior Data Scientist", "company" : "Jerry.ai", "industry" : "Data", "salary" : { "min" : 150000.0, "max" : 170000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "New York, New York", "locations" : [ "New York, New York", "San Francisco Bay Area", "Boston, Massachusetts", "Atlanta, Georgia", "Denver, Colorado", "Austin, Texas", "Miami, Florida" ], "timestamp" : "2026-06-16T10:40:41.021", "fingerprint" : "652e670087191fa3a3083adc4be413fa6e0f6e947270a99b5d1f5c8b9f467ca3", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/jerry.ai/b0db6399-5528-4edd-8bb5-f32dd38a5ad5/application", "externalId" : "b0db6399-5528-4edd-8bb5-f32dd38a5ad5", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python", "professionalSkills" : [ "First principles thinking", "Analytical ability" ], "hardSkillsList" : [ "Data analysis", "Experiment design", "Metric definition" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Experiment design", "level" : "intermediate" }, { "name" : "Metric definition", "level" : "intermediate" } ], "coreResponsibilities" : "Define problems, Push back on flawed questions, Define metrics, Build reports, Run analyses, Design experiments, Surface data insights, Bring recommendations, Tell what is happening, Tell why it is happening, Tell what next steps should be", "toolProficiency" : [ "Clickhouse", "Metabase", "Jupyter Hub", "GitHub" ], "communicationSkills" : "Direct communicator; Write clearly; Speak precisely", "problemSolvingSkills" : "First principles thinker; Break ambiguous problems into clear hypotheses", "qualificationsBasic" : "4+ years of experience, Analytical ability to pull, structure, and interpret data independently, Track record of owning ambiguous problems and delivering impact, Clear, persuasive communicator who can influence decisions at the leadership level", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : false, "rawDescription" : "Why We Exist Your car and your home are your most important assets, yet the experience of owning them is stuck in the 90s. Every part of the journey — buy/sell, insurance, maintenance, repairs — is fragmented, complicated, and expensive. Jerry.ai http://Jerry.ai is building the first app to manage it all. We started with car insurance in 2019, became one of the top 3 brokers in the U.S., then added driving insights, diagnostics, and a repair marketplace. We've reached 5M+ customers, raised $240M+, scaled revenue 70X, and became profitable in early 2024. We're now expanding into adjacent verticals (e.g. home, motorcycle, RV, etc) to become the one-stop-shop for all your physical assets. Why We’re Hiring Our Data Science & Analytics team has been a force multiplier and accelerant to our business that has helped us reach these pivotal milestones in spite of headwinds and within a highly competitive market. They are a team of former McKinsey, BCG and Bain consultants who drive data & insights, and inform decision-making across every corner of our business. They are analytical powerhouses and first principles problem solvers who push forward our most important initiatives across product, growth, tech, and operations. Every business unit has a Data Science team member embedded within it — someone who doesn't just run analyses and build dashboards, but shapes what questions we should ask, what data to pull, what conclusions to draw, what decisions to make, and then drives our teams towards our next goal: go from 5M to 50M customers and become a $10B business in the next 4 years. As our business continues to expand, there is growing demand for more Data Science team members. We are hiring 4-6 people to drive impact in these areas: - Growth Marketing - Product Development - AI & Automation - Strategic Partnerships On leveling: You may see job ads for this role at different job levels. Our priority is finding the right people, we can be flexible with job title/leveling. Why You Will (Or Won't) Like Working Here - No slides: If you've worked in consulting, you know what it feels like to be up at 3am reformatting a deck. That doesn't exist here. The only work that gets done at Jerry is work that will materially change the trajectory of our business — an important product, a new growth channel, a key metric, a critical partner relationship, etc. - No corporate fluff: The Data Science & Analytics team is 14 insatiable learners who care deeply about solving difficult problems and making a tangible impact. Every person owns a critical domain. There is no bloat, unnecessary meetings, or waiting for approvals. - Hands-on: This is not a pure strategy role, you will also own execution. Your day-to-day will be surfacing analytical insights, driving decisions, and seeing them through end-to-end. What You'll Own You'll sit on our central Data Science & Analytics team but you’ll be embedded in one of Jerry's core business areas — growth, product, AI and automation, strategic partnerships — and own the analytical function for that business unit end-to-end. - Define the right problems: Before any analysis, understand what business question it's answering and what decision it will inform. Push back if the question is flawed. - Data and insights: Define metrics, build reports, run analyses, design experiments, and surface data insights that move your team's key metrics. - Drive outcomes: Bring recommendations to your counterparts in product, growth, finance or operations, tell them what's happening and why, and what next steps should be. Who You Are - First principles thinker: You break ambiguous problems into clear hypotheses before touching data. You're analytically strong (comfortable with SQL or Python) but your instinct is to ask \"what are we trying to solve here?\" before jumping to \"what should I build?\" - Direct communicator: You can walk a skeptical stakeholder through a complex finding and get buy-in quickly. You write clearly, speak precisely, and don't bury the lede. - Owner: You act like your name is on the door. If something is broken, you feel responsible for fixing it, even if it’s outside of your swim lane. What You'll Bring - 4+ years of experience at a consulting firm, investment bank, or high-growth technology company. - Strong analytical skills; ability to pull, structure, and interpret data independently. - Track record of owning ambiguous problems and delivering impact. - Clear, persuasive communicator who can influence decisions at the leadership level. Our Tools SQL (Clickhouse), Metabase, Python, Jupyter Hub, GitHub. While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai recruiting@getjerry.com The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.", "summaryDescription" : "Senior Data Scientist at Jerry.ai. Define problems. 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Every part of the journey — buy/sell, insurance, maintenance, repairs — is fragmented, complicated, and expensive. Jerry.ai http://Jerry.ai is building the first app to manage it all. We started with car insurance in 2019, became one of the top 3 brokers in the U.S., then added driving insights, diagnostics, and a repair marketplace. We've reached 5M+ customers, raised $240M+, scaled revenue 70X, and became profitable in early 2024. We're now expanding into adjacent verticals (e.g. home, motorcycle, RV, etc) to become the one-stop-shop for all your physical assets. Why We’re Hiring Our Data Science & Analytics team has been a force multiplier and accelerant to our business that has helped us reach these pivotal milestones in spite of headwinds and within a highly competitive market. They are a team of former McKinsey, BCG and Bain consultants who drive data & insights, and inform decision-making across every corner of our business. They are analytical powerhouses and first principles problem solvers who push forward our most important initiatives across product, growth, tech, and operations. Every business unit has a Data Science team member embedded within it — someone who doesn't just run analyses and build dashboards, but shapes what questions we should ask, what data to pull, what conclusions to draw, what decisions to make, and then drives our teams towards our next goal: go from 5M to 50M customers and become a $10B business in the next 4 years. As our business continues to expand, there is growing demand for more Data Science team members. We are hiring 4-6 people to drive impact in these areas: - Growth Marketing - Product Development - AI & Automation - Strategic Partnerships On leveling: You may see job ads for this role at different job levels. Our priority is finding the right people, we can be flexible with job title/leveling. Why You Will (Or Won't) Like Working Here - No slides: If you've worked in consulting, you know what it feels like to be up at 3am reformatting a deck. That doesn't exist here. The only work that gets done at Jerry is work that will materially change the trajectory of our business — an important product, a new growth channel, a key metric, a critical partner relationship, etc. - No corporate fluff: The Data Science & Analytics team is 14 insatiable learners who care deeply about solving difficult problems and making a tangible impact. Every person owns a critical domain. There is no bloat, unnecessary meetings, or waiting for approvals. - Hands-on: This is not a pure strategy role, you will also own execution. Your day-to-day will be surfacing analytical insights, driving decisions, and seeing them through end-to-end. What You'll Own You'll sit on our central Data Science & Analytics team but you’ll be embedded in one of Jerry's core business areas — growth, product, AI and automation, strategic partnerships — and own the analytical function for that business unit end-to-end. - Define the right problems: Before any analysis, understand what business question it's answering and what decision it will inform. Push back if the question is flawed. - Data and insights: Define metrics, build reports, run analyses, design experiments, and surface data insights that move your team's key metrics. - Drive outcomes: Bring recommendations to your counterparts in product, growth, finance or operations, tell them what's happening and why, and what next steps should be. Who You Are - First principles thinker: You break ambiguous problems into clear hypotheses before touching data. You're analytically strong (comfortable with SQL or Python) but your instinct is to ask \"what are we trying to solve here?\" before jumping to \"what should I build?\" - Direct communicator: You can walk a skeptical stakeholder through a complex finding and get buy-in quickly. You write clearly, speak precisely, and don't bury the lede. - Owner: You act like your name is on the door. If something is broken, you feel responsible for fixing it, even if it’s outside of your swim lane. What You'll Bring - 4+ years of experience at a consulting firm, investment bank, or high-growth technology company. - Strong analytical skills; ability to pull, structure, and interpret data independently. - Track record of owning ambiguous problems and delivering impact. - Clear, persuasive communicator who can influence decisions at the leadership level. Our Tools SQL (Clickhouse), Metabase, Python, Jupyter Hub, GitHub. While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai recruiting@getjerry.com The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.", "summaryDescription" : "Senior Data Scientist at Jerry.ai. Define the right problems. Understand business question", "createdAt" : "2026-06-16T00:26:40.534", "lastUpdated" : "2026-06-16T10:35:46.362", "ingestTimestamp" : "2026-06-16T00:26:40.534", "mongoId" : "6a305098f292fd229cef28f7", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 150000, "salaryAnnualMax" : 170000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Data analysis", "Experiment design", "Metric definition", "First principles thinker", "Direct communicator", "Owner", "First principles thinking", "Analytical ability", "Clickhouse", "Metabase" ], "skillCount" : 10, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a30872bf292fd229c08682a", "title" : "Principal Scientist, Lentivirus Downstream Process Development", "company" : "Legend Biotech", "industry" : "Biotech", "salary" : { "min" : 146410.0, "max" : 192164.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Somerset, New Jersey, United States", "locations" : [ "Somerset", "New Jersey", "United States" ], "timestamp" : "2026-06-16T10:10:10.746", "fingerprint" : "30ce75b581742f4b4c5865aeb50ecd1d9c003e26c177b21bea469c2472692342", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/legendcareers/jobs/4706012005", "externalId" : "4706012005", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Somerset", "state" : "New Jersey", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.5675084,-74.6189556" } ], "locationText" : "Somerset, New Jersey, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "PhD", "experienceMinYears" : 8, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Lentivirus, Viral vectors, Cell therapies, TCR-T, NK cell, Biotechnology, Chemical Engineering, Biomedical Engineering, Virology, Molecular Biology, Purification, Chromatography, TFF, GMP, CMC, IND, IMPD, Engineering modeling, Optimization", "professionalSkills" : [ "Process development", "Manufacturing", "Project management", "Tech transfer", "Regulatory compliance", "Scientific rigor", "Continuous improvement", "Strategic focus", "Troubleshooting" ], "hardSkillsList" : [ "Vector recovery", "Vector purity", "Vector potency" ], "softSkillsList" : [ "Leadership", "Emotional intelligence" ], "hardSkills" : [ { "name" : "Vector recovery", "level" : "intermediate" }, { "name" : "Vector purity", "level" : "intermediate" }, { "name" : "Vector potency", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Emotional intelligence" } ], "majorSkills" : "Viral Vector Purification, Process Development, GMP Manufacturing", "majorSkillsList" : [ "Viral Vector Purification", "Process Development", "GMP Manufacturing" ], "coreResponsibilities" : "Implement state-of-the-art knowledge management for DSP data, Communicate potential issues and delays, Communicate solutions and mitigation approaches, Identify project acceleration opportunities, Leverage advanced science and technology, Maximize vector recovery, purity, and potency, Identify creative solutions to define unknowns, Guide a team of scientists, Foster a culture of transparency, Foster a culture of scientific rigor, Foster a culture of continuous improvement, Author technical documents, Review technical documents, Work closely with Upstream Process Development, Work closely with Analytical Development, Ensure integrated process outcomes, Ensure holistic process outcomes, Tech transfer process, Resolve conflict, Proactively identify performance issues, Address performance issues, Ensure compliance with regulatory requirements", "teamCollaboration" : "Senior Leaders; CMC Project Manager; Project Leader; Technical leads; Upstream Process Development; Analytical Development", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "Viral vector field; GMP manufacturing requirements; CMC strategies; Early-phase clinical trials", "domainList" : [ "viral-vector-field", "gmp-manufacturing-requirements", "cmc-strategies", "early-phase-clinical-trials" ], "domainSpecificKnowledge" : [ "Viral vector field", "GMP manufacturing requirements", "CMC strategies", "Early-phase clinical trials" ], "communicationSkills" : "Technical documentation; Regulatory submissions", "documentationSkills" : "Development reports; SOPs; CMC sections", "innovationCreativity" : "Creative solutions", "problemSolvingSkills" : "Troubleshooting skills", "outcomesObjectives" : "Maximize vector recovery; Maximize vector purity; Maximize vector potency", "qualificationsBasic" : "PhD or MS degree, 8+ years (PhD) experience, 10+ years (MS) experience, Deep technical hands-on experience in purification, Deep technical hands-on experience in chromatography, Deep technical hands-on experience in TFF, Understanding of GMP manufacturing, Understanding of CMC strategies, Deep knowledge in cell technologies, Deep knowledge in lentiviral vector technologies, Ability to implement closed-system processes, Ability to maximize cost effectiveness, Knowledge in engineering modeling, Knowledge in optimization, Excellent leadership, Excellent emotional intelligence, Excellent communication", "qualificationsPreferred" : "PhD preferred, Developing vector processes for CAR-T, Developing vector processes for systemic delivery, Handling large scale (>50L) purification process, Mandarin language is a plus", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Legend Biotech is a global biotechnology company dedicated to treating, and one day curing, life-threatening diseases. Headquartered in Somerset, New Jersey, we are developing advanced cell therapies across a diverse array of technology platforms, including autologous and allogenic chimeric antigen receptor T-cell, T-cell receptor (TCR-T), and natural killer (NK) cell-based immunotherapy. From our three R implement state-of-the-art knowledge management for DSP data. Communicate the potential for issues and delays along with solutions and mitigation approaches. In collaboration with the Senior Leaders, CMC Project Manager, Project Leader, and other technical leads identify project acceleration opportunities. Leverage advanced science and technology to maximize vector recovery, purity, and potency, identifying creative solutions to define unknowns in the viral vector field. Guide a team of scientists in the execution of project-specific activities, fostering a culture of transparency, scientific rigor, and continuous improvement. Author and serve as a primary reviewer for technical documents, including development reports, SOPs, and CMC sections for regulatory submissions (IND/IMPD). Work closely with Upstream Process Development and Analytical Development teams to ensure integrated and holistic process outcomes. Tech transfer process to/from other Legend sites or CDMOs Resolve conflict and proactively identify/address performance issues. Ensure compliance with regulatory requirements. Requirements Advanced degree (PhD preferred, or MS) in Chemical Engineering, Biomedical Engineering, Virology, Molecular Biology, or a related field. 8+ years (PhD) or 10+ years (MS) of experience in process development or manufacturing within a biotech or pharmaceutical setting. Deep technical hands-on experience in purification, chromatography, and TFF specifically for viral vectors (Lentivirus preferred) Strong understanding of GMP manufacturing requirements and CMC strategies for early-phase clinical trials. Deep knowledge and hands-on experiences in cell and lentiviral vector technologies within the current emerging field Ability to implement closed-system processes and maximize cost effectiveness Strong knowledge in engineering modeling and optimization. Excellent leadership, emotional intelligence, and communication skills; ability to maintain composure and strategic focus during challenging development timelines. Creative, strategic thinking Strong troubleshooting skills Preferred experience in developing vector processes tailored for CAR-T generation and systemic delivery Preferred experience in handling large scale(>50L) purification process. Language: English. Mandarin is a plus. #Li-JR1 #Li-Hybrid The base pay range below is what Legend Biotech USA Inc. reasonably expects to offer at the time of posting. Actual compensation may vary based on experience, skills, qualifications, and geographic location. The company reserves the right to modify this range as needed and in accordance with applicable laws. Other Types of Pay: Performance-based bonus and/or equity is available to employees in eligible roles. Benefits and Paid Time Off: Medical, dental, and vision insurance as well as a 401(k) retirement plan with a company match that vests fully on day one. We offer eight (8) weeks of paid parental leave after just three (3) months of employment, and a paid time off policy that includes vacation time, personal time, sick time, floating holidays, and eleven (11) company holidays. Additional voluntary benefits include flexible spending and health savings accounts, life and AD demonstrating our ongoing commitment to building a culture where our people feel empowered, supported, and inspired to do their best work. Pay Range (Base Pay): $146,410—$192,164 USD Please note: These benefits are offered exclusively to permanent full-time employees. Contractors are not eligible for benefits through Legend Biotech. EEO Statement It is the policy of Legend Biotech to provide equal employment opportunities without regard to actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, related medical conditions and lactation), gender identity or gender expression (including transgender status), sexual orientation, marital status, military service and veteran status, disability, genetic information, or any other protected characteristic under applicable federal, state or local laws or ordinances. Employment is at-will and may be terminated at any time with or without cause or notice by the employee or the company. For information related to our privacy notice, please review: Legend Biotech Privacy Notice.", "summaryDescription" : "Principal Scientist, Lentivirus Downstream Process Development at Legend Biotech. Skills: Viral Vector Purification, Process Development, GMP Manufacturing. Implement state-of-the-art knowledge management for DSP data. Communicate potential issues and delays", "postedDate" : "2026-06-16T01:22:16.605", "createdAt" : "2026-06-16T01:22:16.605", "lastUpdated" : "2026-06-16T10:10:10.746", "ingestTimestamp" : "2026-06-16T01:22:16.605", "mongoId" : "6a30872bf292fd229c08682a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 146410, "salaryAnnualMax" : 192164, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Vector recovery", "Vector purity", "Vector potency", "Leadership", "Emotional intelligence", "Viral Vector Purification", "Process Development", "GMP Manufacturing", "Process development", "Manufacturing", "Project management", "Tech transfer", "Regulatory compliance", "Scientific rigor", "Continuous improvement", "Strategic focus", "Troubleshooting", "Viral vector field", "GMP manufacturing requirements", "CMC strategies", "Early-phase clinical trials" ], "skillCount" : 21, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Executive", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.98 }, { "id" : "6a30872bf292fd229c08682b", "title" : "Principal Scientist, Upstream Process, Process Development", "company" : "Legend Biotech", "industry" : "Biotech", "salary" : { "min" : 146410.0, "max" : 192164.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Somerset, New Jersey, United States", "locations" : [ "Somerset", "New Jersey", "United States" ], "timestamp" : "2026-06-16T10:46:06.092", "fingerprint" : "6a9a03ed4722086d519f0ca78f36667e4eac56fc0784b1643134bbc33c4a68c5", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/legendcareers/jobs/4706014005", "externalId" : "4706014005", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Somerset", "state" : "New Jersey", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.5675084,-74.6189556" } ], "locationText" : "Somerset, New Jersey, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "MS", "experienceMinYears" : 8, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Chemical Engineering, Biomedical Engineering, Virology, Molecular Biology, Mammalian cell culture, HEK293, HEK293T, Seed train expansion, Feeding strategy, Transient transfection, Viral vectors, Lentivirus, Bioreactor, Engineering modeling, Mass transfer, Bioprocess optimization", "professionalSkills" : [ "Process development", "Manufacturing", "Scale-up models", "Scale-down models", "CMC strategies", "Tech transfer" ], "hardSkillsList" : [ "Cell culture", "Transfection optimization", "Bioreactor operation", "Process optimization", "Regulatory compliance" ], "softSkillsList" : [ "Leadership", "Emotional intelligence", "Strategic thinking", "Troubleshooting" ], "hardSkills" : [ { "name" : "Cell culture", "level" : "intermediate" }, { "name" : "Transfection optimization", "level" : "intermediate" }, { "name" : "Bioreactor operation", "level" : "intermediate" }, { "name" : "Process optimization", "level" : "intermediate" }, { "name" : "Regulatory compliance", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Emotional intelligence" }, { "name" : "Strategic thinking" }, { "name" : "Troubleshooting" } ], "majorSkills" : "Upstream Process Development, Viral Vector Production, Bioreactor Scale-up, Process Optimization", "majorSkillsList" : [ "Upstream Process Development", "Viral Vector Production", "Bioreactor Scale-up", "Process Optimization" ], "coreResponsibilities" : "Implement state-of-the-art knowledge management, Communicate potential issues and delays, Communicate solutions and mitigation approaches, Identify project acceleration opportunities, Leverage science and technology, Maximize vector titer, Maximize specific productivity, Maximize quality, Identify creative solutions, Define unknowns in viral vector production, Guide scientists in project execution, Foster culture of transparency, Foster culture of scientific rigor, Foster culture of continuous improvement, Author technical documents, Review technical documents, Work closely with Downstream Process Development, Work closely with Analytical Development, Ensure integrated process outcomes, Ensure holistic process outcomes, Perform tech transfer, Resolve conflict, Proactively identify performance issues, Address performance issues, Ensure compliance with regulatory requirements", "teamCollaboration" : "Senior Leaders; CMC Project Manager; Project Leader; Technical leads; Downstream Process Development; Analytical Development", "projectManagementSkills" : [ "Project acceleration" ], "domainKnowledge" : "Biotechnology; Cell therapies; Viral vector production; Mammalian cell culture; Lentivirus; GMP manufacturing; CMC strategies; Early-phase clinical trials; Engineering modeling; Mass transfer; Bioprocess optimization", "domainList" : [ "biotechnology", "cell-therapies", "viral-vector-production", "mammalian-cell-culture", "lentivirus", "gmp-manufacturing", "cmc-strategies", "early-phase-clinical-trials", "engineering-modeling", "mass-transfer", "bioprocess-optimization" ], "domainSpecificKnowledge" : [ "Biotechnology", "Cell therapies", "Viral vector production", "Mammalian cell culture", "Lentivirus", "GMP manufacturing", "CMC strategies", "Early-phase clinical trials", "Engineering modeling", "Mass transfer", "Bioprocess optimization" ], "toolProficiency" : [ "Bioreactors" ], "communicationSkills" : "Technical documentation; Regulatory submissions", "documentationSkills" : "Development reports; SOPs; CMC sections", "innovationCreativity" : "Creative solutions", "problemSolvingSkills" : "Troubleshooting skills", "outcomesObjectives" : "Maximize vector titer; Maximize specific productivity; Maximize quality", "qualificationsBasic" : "MS or PhD, 8+ years (PhD) experience, 10+ years (MS) experience, Mammalian cell culture experience, Seed train expansion experience, Feeding strategy experience, Transient transfection optimization experience, Viral vector experience, Lentivirus experience, Bioreactor scale-up models experience, Bioreactor scale-down models experience, GMP manufacturing requirements knowledge, CMC strategies knowledge, Cell technology knowledge, Lentiviral vector technology knowledge, Engineering modeling knowledge, Mass transfer knowledge, Bioprocess optimization knowledge", "qualificationsPreferred" : "PhD preferred, Large-scale bioreactor processes experience, Mandarin language a plus", "remoteFriendly" : true, "workSiteFlexibility" : "Onsite", "rawDescription" : "Legend Biotech is a global biotechnology company dedicated to treating, and one day curing, life-threatening diseases. Headquartered in Somerset, New Jersey, we are developing advanced cell therapies across a diverse array of technology platforms, including autologous and allogenic chimeric antigen receptor T-cell, T-cell receptor (TCR-T), and natural killer (NK) cell-based immunotherapy. From our three R implement state-of-the-art knowledge management for USP data. Communicate the potential for issues and delays along with solutions and mitigation approaches. In collaboration with the Senior Leaders, CMC Project Manager, Project Leader, and other technical leads, identify project acceleration opportunities. Leverage advanced science and technology to maximize vector titer, specific productivity, and quality, identifying creative solutions to define unknowns in the viral vector production field. Guide a team of scientists in the execution of project-specific activities, fostering a culture of transparency, scientific rigor, and continuous improvement. Author and serve as a primary reviewer for technical documents, including development reports, SOPs, and CMC sections for regulatory submissions (IND). Work closely with Downstream Process Development and Analytical Development teams to ensure integrated and holistic process outcomes. Tech transfer process to/from other Legend sites or CDMOs. Resolve conflict and proactively identify/address performance issues. Ensure compliance with regulatory requirements. Requirements Advanced degree (PhD preferred, or MS) in Chemical Engineering, Biomedical Engineering, Virology, Molecular Biology, or a related field. 8+ years (PhD) or 10+ years (MS) of experience in process development or manufacturing within a biotech or pharmaceutical setting Deep technical hands-on experience in mammalian cell culture (HEK293, HEK293T), seed train expansion, feeding strategy and transient transfection optimization specifically for viral vectors (Lentivirus preferred). Proven expertise in developing and implementing bioreactor scale-up and scale-down models. Strong understanding of GMP manufacturing requirements and CMC strategies for early-phase clinical trials. Deep knowledge and hands-on experiences in cell and lentiviral vector technologies within the current emerging field Strong knowledge in engineering modeling, mass transfer, and bioprocess optimization. Excellent leadership, emotional intelligence, and communication skills; ability to maintain composure and strategic focus during challenging development timelines. Creative, strategic thinking. Strong troubleshooting skills Preferred experience in handling large-scale (>50L, e.g., 200L/500L) upstream bioreactor processes. Language(s): English. Mandarin is a plus. #Li-JR1 #Li-Onsite The base pay range below is what Legend Biotech USA Inc. reasonably expects to offer at the time of posting. Actual compensation may vary based on experience, skills, qualifications, and geographic location. The company reserves the right to modify this range as needed and in accordance with applicable laws. Other Types of Pay: Performance-based bonus and/or equity is available to employees in eligible roles. Benefits and Paid Time Off: Medical, dental, and vision insurance as well as a 401(k) retirement plan with a company match that vests fully on day one. We offer eight (8) weeks of paid parental leave after just three (3) months of employment, and a paid time off policy that includes vacation time, personal time, sick time, floating holidays, and eleven (11) company holidays. Additional voluntary benefits include flexible spending and health savings accounts, life and AD demonstrating our ongoing commitment to building a culture where our people feel empowered, supported, and inspired to do their best work. Pay Range (Base Pay): $146,410—$192,164 USD Please note: These benefits are offered exclusively to permanent full-time employees. Contractors are not eligible for benefits through Legend Biotech. EEO Statement It is the policy of Legend Biotech to provide equal employment opportunities without regard to actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, related medical conditions and lactation), gender identity or gender expression (including transgender status), sexual orientation, marital status, military service and veteran status, disability, genetic information, or any other protected characteristic under applicable federal, state or local laws or ordinances. Employment is at-will and may be terminated at any time with or without cause or notice by the employee or the company. For information related to our privacy notice, please review: Legend Biotech Privacy Notice.", "summaryDescription" : "Principal Scientist, Upstream Process, Process Development at Legend Biotech. Skills: Upstream Process Development, Viral Vector Production, Bioreactor Scale-up, Process Optimization. Implement state-of-the-art knowledge management. Communicate potential issues and delays", "postedDate" : "2026-06-16T01:21:58.038", "createdAt" : "2026-06-16T01:21:58.038", "lastUpdated" : "2026-06-16T10:46:06.092", "ingestTimestamp" : "2026-06-16T01:21:58.038", "mongoId" : "6a30872bf292fd229c08682b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 146410, "salaryAnnualMax" : 192164, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Cell culture", "Transfection optimization", "Bioreactor operation", "Process optimization", "Regulatory compliance", "Leadership", "Emotional intelligence", "Strategic thinking", "Troubleshooting", "Upstream Process Development", "Viral Vector Production", "Bioreactor Scale-up", "Process Optimization", "Process development", "Manufacturing", "Scale-up models", "Scale-down models", "CMC strategies", "Tech transfer", "Project acceleration", "Biotechnology", "Cell therapies", "Viral vector production", "Mammalian cell culture", "Lentivirus", "GMP manufacturing", "Early-phase clinical trials", "Engineering modeling", "Mass transfer", "Bioprocess optimization", "Bioreactors" ], "skillCount" : 31, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Executive", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.98 }, { "id" : "6a307f69f292fd229c058f0d", "title" : "Sr/Principal Scientist - Upstream Process Development", "company" : "Genezen", "industry" : "Biotech", "salary" : { "min" : 165000.0, "max" : 235000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Sr/Principal Scientist in Fishers, United States, adjusted for lead seniority and the biotech industry." }, "location" : "Fishers, Indiana, United States", "locations" : [ "Fishers", "Indiana", "United States" ], "timestamp" : "2026-06-16T12:09:40.636", "fingerprint" : "b6201a1b7310eb1a56207dfdf8317975cc2206fae877bc298f23cb4b6029238a", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/genezenlabs/jobs/6030515004", "externalId" : "6030515004", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Fishers", "state" : "Indiana", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "39.9555928,-86.0138729" } ], "locationText" : "Fishers, Indiana, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Bioprocess Engineering, Life Science Biotechnology, Biochemistry, Protein Chemistry, Chemical Engineering, Cell Culture, Bioreactor Technologies, Transfection, Infection approaches, Gene therapy, Viral vaccines, Therapeutic proteins", "professionalSkills" : [ "Process Development", "Cell Line Development", "Upstream Processing", "Technology Transfer", "GMP Manufacturing", "Scale-up", "Process Improvements", "Process Characterization", "Bills of Materials", "Sampling Plans", "Process Troubleshooting", "Data Analysis", "Root Cause Analysis", "Change Controls", "CAPAs", "CCRs", "Quality Systems", "Experimental Design", "Data Review", "Scale-down Models", "Lab Notebooks", "Protocols", "Development Reports", "Process Descriptions", "Scientific Reports", "Client Presentations", "Program Strategy" ], "hardSkillsList" : [ "Process Development", "Cell Line Development", "Upstream Processing", "Cell Culture", "Bioreactor Technologies", "Transfection", "Infection approaches", "Technology Transfer", "GMP Manufacturing", "Scale-up", "Process Improvements", "Process Characterization", "Data Analysis", "Root Cause Analysis", "Quality Systems", "Experimental Design", "Scale-down Models" ], "softSkillsList" : [ "Adaptability" ], "hardSkills" : [ { "name" : "Process Development", "level" : "intermediate" }, { "name" : "Cell Line Development", "level" : "intermediate" }, { "name" : "Upstream Processing", "level" : "intermediate" }, { "name" : "Cell Culture", "level" : "intermediate" }, { "name" : "Bioreactor Technologies", "level" : "intermediate" }, { "name" : "Transfection", "level" : "intermediate" }, { "name" : "Infection approaches", "level" : "intermediate" }, { "name" : "Technology Transfer", "level" : "intermediate" }, { "name" : "GMP Manufacturing", "level" : "intermediate" }, { "name" : "Scale-up", "level" : "intermediate" }, { "name" : "Process Improvements", "level" : "intermediate" }, { "name" : "Process Characterization", "level" : "intermediate" }, { "name" : "Data Analysis", "level" : "intermediate" }, { "name" : "Root Cause Analysis", "level" : "intermediate" }, { "name" : "Quality Systems", "level" : "intermediate" }, { "name" : "Experimental Design", "level" : "intermediate" }, { "name" : "Scale-down Models", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Adaptability" } ], "majorSkills" : "Upstream Process Development, Technology Transfer, GMP Manufacturing Support", "majorSkillsList" : [ "Upstream Process Development", "Technology Transfer", "GMP Manufacturing Support" ], "coreResponsibilities" : "Provide technical oversight, Provide strategic input, Lead platform improvement projects, Manage platform improvement projects, Coordinate platform improvement projects, Support late-stage development, Identify development tasks, Plan development activities, Monitor deliverable progress, Generate protocols, Generate reports, Qualify scale-down models, Characterize processes, Validate scale-down models, Support technology transfer activities, Perform experiments, Implement process improvements, Characterize processes at scale, Provide MSAT technical support, Provide manufacturing technical support, Troubleshoot processes, Analyze manufacturing data, Perform root cause analysis, Manage deviations during GMP production, Manage change controls, Manage CAPAs, Manage CCRs, Design experimental plans, Analyze experimental results, Review experimental results, Optimize scale-down models, Maintain scale-down models, Write lab notebook entries, Approve lab notebook entries, Write experimental protocols, Approve experimental protocols, Write development reports, Approve development reports, Write process descriptions, Approve process descriptions, Write scientific reports, Approve scientific reports, Present project progress, Present project results, Maintain communication with functions, Supervise USP lab activities, Guide junior team members, Set goals for team members, Assign tasks to team members", "teamCollaboration" : "Cross-functional teams; External partners; Analytical Development; Manufacturing; Engineering; MSAT; Relevant functions", "projectManagementSkills" : [ "Program Strategy" ], "domainKnowledge" : "Gene therapy; Viral vectors; Cell therapy; GMP manufacturing; EMA/FDA regulations; ICH guidelines", "domainList" : [ "gene-therapy", "viral-vectors", "cell-therapy", "gmp-manufacturing", "ema-fda-regulations", "ich-guidelines" ], "domainSpecificKnowledge" : [ "Gene therapy", "Viral vectors", "Cell therapy", "GMP manufacturing", "EMA/FDA regulations", "ICH guidelines" ], "toolProficiency" : [ "Electronic Lab Notebooks" ], "communicationSkills" : "External presentations; Technical discussion; Internal presentations; Client presentations", "documentationSkills" : "Protocol generation; Report generation; Lab notebook entries; Process descriptions; Scientific reports; Quality Systems documentation", "innovationCreativity" : "Innovative problem solvers", "problemSolvingSkills" : "Problem solvers; Process troubleshooting; Root cause analysis", "specialRequirements" : "Work schedule may change, Criminal background check required, Sit for long periods, Lift up to 10 pounds, Lift up to 25 pounds", "qualificationsBasic" : "MSc with 8+ years of relevant work experience, PhD with 6+ years of relevant work experience, Process Development and Cell Line Development Experience, Upstream Processing Experience with Cell Culture, Bioreactor Technologies, and Transfection/Infection approaches, Hands-on experience on complex biologics, Experience with technology transfer and GMP manufacturing technical support, Experience with EMA/FDA regulations, ICH", "qualificationsPreferred" : "Prior work experience at a CDMO", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The field of gene therapy is growing rapidly and Genezen is here to meet the exacting needs of our clients. We provide process development, produce GMP viral vectors, and provide cell transduction for gene and cell therapy clinical trials and are proud to be a part of the process that leads to new cures. WORKING AT GENEZEN Many people have worked in environments where you feel like just another nameless part of an enormous machine. Genezen is different. We want our employees to be innovative, collaborative problem solvers who are dedicated to meeting the challenges of working at a fast-growing company. We are dedicated to empowering our employees to be their best and making Genezen a rewarding place to work. Every employee contributes to the success of the company and you can be part of that team. JOB SUMMARY The Sr./Principal Scientist, Upstream Process Development will be part of the Process Development Group reporting to the Director of Process Development. The role will have direct management responsibility for a team of Scientists and Research Associates. The Sr/Principal Scientist is responsible for the Upstream Process development, characterization, technology transfer and GMP manufacturing technical support. This individual will lead or contribute as a core member of various cross-functional teams, and interact extensively with other departments within Genezen, including Analytical Development, Manufacturing, Engineering, and MSAT. This is a client-facing position with regular interaction with our partners including external presentations, driving the technical discussion and program strategy. JOB RESPONSIBILITIES Provides technical oversight and strategic input for upstream viral vector drug substance development activities Leads, proposes, manages, and coordinates activities on platform improvement/continuous projects in USP labs Leads, manages, and supports late-stage development, by identifying tasks, planning, monitoring progress of deliverables, and in terms of protocol and report generation in areas such as scale-down model qualification, process characterization, and scale-down model process validation studies Leads and supports technology transfer activities at pilot plant and when necessary, preforms experiments him/herself, focusing scale-up platform process at scale and process improvements implementation, process characterization at scale and bills of materials as well as sampling plans. Provides MSAT and manufacturing technical Upstream SME support for process troubleshooting, manufacturing data analysis, root cause analysis, and deviations during GMP production, change controls, CAPAs, CCRs and other Quality Systems documentation as needed. Designs and outlines experimental plans to meet the defined Genezen and client objective. Analyses and reviews experimental results and data. Performs, optimizes, and maintains linear scale-down models. Writes, reviews, and approves electronic lab notebooks (ELNs) entries, experimental protocols, development reports, process descriptions, and scientific reports Presents project progress and results internally to cross-functional teams and externally to clients/stakeholders Maintains robust communication with all relevant functions that have an impact on or are impacted by Upstream Process Development Coordinates and supervises the activities in the USP labs (with a team of engineers/ (Jr.) bioprocess technologist, co-op students, interns, temporary personnel (contractors), and technical SMEs and when necessary, performs experiments him/herself. Guides junior USP team members by setting goals/tasks on projects SPECIAL JOB REQUIREMENTS Adaptability required as work schedule may change based on business needs Criminal background check required Other duties as assigned KNOWLEDGE, SKILLS AND EXPERIENCE EDUCATION / CERTIFICATIONS / LICENSES Essential/Desired MSc with 8+ years of relevant work experience in Bioprocess Engineering/ Life Science Biotechnology/Biochemistry/ Protein Chemistry, Chemical Engineering or related disciplines Essential PhD with 6+ years of relevant work experience in Bioprocess Engineering/ Life Science Biotechnology/Biochemistry/ Protein Chemistry, Chemical Engineering or related disciplines Desired ON-THE-JOB EXPERIENCE Process Development and Cell Line Development Experience Essential Upstream Processing Experience with Cell Culture, Bioreactor Technologies, and Transfection/Infection approaches Essential Prior work experience at a CDMO Desired SKILLS / ABILITIES Hands-on experience on complex biologics, e. g. gene therapy, viral vaccines, therapeutic proteins Essential Experience with technology transfer and GMP manufacturing technical support Essential Experience with EMA/FDA regulations, ICH guidelines, GMP and quality systems Essential Effective communicator with track record of presenting data to relevant stakeholders including external stakeholders Essential Experience with DoE design and statistical analysis on large data sets Essential Excellent scientific writing skills demonstrated by publications and reports Essential Experience with direct management of Scientists and Research Associates including day-to-day oversight and direction and career development and coaching. Essential PHYSICAL DEMANDS While performing the duties of this job, the employee is required to meet the following physical demands: Work Environment Regularly sit for long periods of time Movement Frequently required to stand; sit; use hands to finger, handle, or feel; reach with hands and arms Occasionally required to walk; climb or balance; and stoop, kneel, crouch, or crawl Lifting Frequently lift and/or move up to 10 pounds Rarely lift and/or move up to 25 pounds Vision Frequently utilize close vision and the ability to adjust focus Communication Frequently required to communicate by talking, hearing, using telephone and e-mail GENEZEN'S CURES VALUE-BASED COMPETENCIES Committed to Science We are committed to scientific excellence, staying current with industry developments, making data-driven decisions, and pursuing innovation to advance healthcare. Urgency in action for the patients We operate with urgency and a commitment to delivering timely treatments to patients by accelerating our partners' programs. Resilience however, we are not able to sponsor visas. Genezen has operates two locations: one in Fishers, Indiana and the second in Lexington, Massachusetts. Fishers is a suburb of Indianapolis. Fishers was named the #1 place to live in the US by Money Magazine in 2017 for its livability, safety and entrepreneurship. Fishers is one of the fastest growing communities in Indiana and is dedicated to supporting a high quality of life for all its residents. Nearby Indianapolis is home to professional and college sports teams, the Indy 500, a growing art community and the world’s largest children’s museum--to name just a few reasons why this area is a great place to live. Lexington, Massachusetts, located just northwest of Boston, is renowned as a historic suburb with a rich cultural heritage. It boasts picturesque New England charm, tree-lined streets, and a vibrant community. Known for its pivotal role in the American Revolution, Lexington offers visitors and residents alike a blend of historical landmarks, modern amenities, and a strong sense of community pride.", "summaryDescription" : "Sr/Principal Scientist - Upstream Process Development at Genezen. Skills: Upstream Process Development, Technology Transfer, GMP Manufacturing Support. Provide technical oversight. Provide strategic input", "postedDate" : "2026-06-16T01:20:25.644", "createdAt" : "2026-06-16T01:20:25.644", "lastUpdated" : "2026-06-16T12:09:40.636", "ingestTimestamp" : "2026-06-16T01:20:25.644", "mongoId" : "6a307f69f292fd229c058f0d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 165000, "salaryAnnualMax" : 235000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Process Development", "Cell Line Development", "Upstream Processing", "Cell Culture", "Bioreactor Technologies", "Transfection", "Infection approaches", "Technology Transfer", "GMP Manufacturing", "Scale-up", "Process Improvements", "Process Characterization", "Data Analysis", "Root Cause Analysis", "Quality Systems", "Experimental Design", "Scale-down Models", "Adaptability", "Upstream Process Development", "GMP Manufacturing Support", "Bills of Materials", "Sampling Plans", "Process Troubleshooting", "Change Controls", "CAPAs", "CCRs", "Data Review", "Lab Notebooks", "Protocols", "Development Reports", "Process Descriptions", "Scientific Reports", "Client Presentations", "Program Strategy", "Gene therapy", "Viral vectors", "Cell therapy", "GMP manufacturing", "EMA/FDA regulations", "ICH guidelines", "Electronic Lab Notebooks" ], "skillCount" : 41, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3051f8f292fd229cf09e86", "title" : "Senior Data Scientist", "company" : "Accenture Federal Services", "industry" : "Consulting", "salary" : { "min" : 155000.0, "max" : 215000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Data Scientist in Washington, DC, adjusted for Accenture Federal Services' size and the technology industry." }, "location" : "Washington, District of Columbia, United States", "locations" : [ "Washington", "District of Columbia", "United States" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T08:33:21.672", "fingerprint" : "64d7e6370e5b76bcb9806378f86bce8ca0a38e0b82c11beb4c7c683acccf0d67", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://boards.greenhouse.io/accenturefederalservices/jobs/4686940006?gh_jid=4686940006", "externalId" : "4686940006", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Washington", "state" : "District of Columbia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.8950982,-77.0363849" } ], "locationText" : "Washington, District of Columbia, United States", "experienceMinYears" : 8, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, R, Spark, Scala, Dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure, SageMaker, Vertex AI, ML Studio, Tableau, Power BI, Looker", "professionalSkills" : [ "Data modeling", "Statistical analysis", "Machine learning", "Business intelligence", "Analytics engineering", "Quantitative analysis" ], "hardSkillsList" : [ "Data engineering", "Machine learning modeling", "Statistical modeling", "Data warehousing", "ETL processes", "Data pipeline development", "Cloud data services", "BI development", "Data visualization" ], "hardSkills" : [ { "name" : "Data engineering", "level" : "intermediate" }, { "name" : "Machine learning modeling", "level" : "intermediate" }, { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "ETL processes", "level" : "intermediate" }, { "name" : "Data pipeline development", "level" : "intermediate" }, { "name" : "Cloud data services", "level" : "intermediate" }, { "name" : "BI development", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" } ], "majorSkills" : "Data Science, Machine Learning, Data Engineering, Business Intelligence", "majorSkillsList" : [ "Data Science", "Machine Learning", "Data Engineering", "Business Intelligence" ], "coreResponsibilities" : "Develop and implement data science solutions, Build and maintain data pipelines, Design and deploy machine learning models, Create and manage business intelligence dashboards, Perform quantitative analysis, Collaborate with stakeholders, Ensure data quality and integrity, Stay updated on industry trends", "teamCollaboration" : "Cross-functional teams; Stakeholders; Product teams; Engineering teams", "domainKnowledge" : "Cloud data stacks; ML frameworks; BI platforms; Statistical methods", "domainList" : [ "cloud-data-stacks", "ml-frameworks", "bi-platforms", "statistical-methods" ], "domainSpecificKnowledge" : [ "Cloud data stacks", "ML frameworks", "BI platforms", "Statistical methods" ], "toolProficiency" : [ "SQL", "Python", "R", "Spark", "Dbt", "Snowflake", "BigQuery", "Databricks", "Airflow", "Scikit-learn", "TensorFlow", "PyTorch", "Tableau", "Power BI", "Looker", "AWS", "GCP", "Azure" ], "problemSolvingSkills" : "Analytical skills; Problem-solving", "qualificationsBasic" : "5+ years of experience, Bachelor's degree, Proficiency in SQL, Experience with Python or R", "qualificationsPreferred" : "Master's degree or PhD, Experience with cloud platforms, Experience with ML frameworks, Cloud certification", "workSiteFlexibility" : "Remote", "rawDescription" : "At Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer and life better for people. Our 13,000+ people are united in a shared purpose to pursue the limitless potential of technology and ingenuity for clients across defense, national security, public safety, civilian, and military health organizations. Join Accenture Federal Services, a technology company within global Accenture. Recognized as a Glassdoor Top 100 Best Place to Work, we offer a collaborative and caring community where you feel like you belong and are empowered to grow, learn and thrive through hands-on experience, certifications, industry training and more. Join us to drive positive, lasting change that moves missions and the government forward! The work: As a Senior Data Scientist, you will be using Databricks and other platforms to analyze complex datasets, identify trends, uncover patterns, and provide meaningful interpretations for a highly visible online product. The ideal candidate will possess a robust background in data analytics, hands-on experience with Databricks, and a proven track record in consumer research and retail analytics, with a strong preference for incorporating AI solutions. You will leverage skills in big data collection, cleaning, and exploratory analysis to discover patterns, anomalies, and relationships using statistical methods and visualization techniques. Requires strong experience applying statistical tests and models to validate hypotheses and identify significant trends in customer retention and churn. Here is what you need: US citizen or dual citizen (Public Trust eligible) 8+ years of experience in data analytics to drive impactful insights and solutions. Experience developing in python. Hands-on experience within Databricks environment, or similar data platform. Hands-on experience developing and maintaining analytics and dashboards to support client decision-making. Experience with consumer research and retail analytics. Experience with successful outcomes with quantifiable metrics. Experience with integrating AI-driven solutions into analytics projects. As required by local law, Accenture Federal Services provides reasonable ranges of compensation for hired roles based on labor costs in the states of California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Washington, Vermont, the District of Columbia, and the city of Cleveland. The base pay range for this position in these locations is shown below. Compensation for roles at Accenture Federal Services varies depending on a wide array of factors, including but not limited to office location, role, skill set, and level of experience. Accenture Federal Services offers a wide variety of benefits. You can find more information on benefits here. We accept applications on an on-going basis and there is no fixed deadline to apply. The pay range for the states of California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Washington, Vermont, the District of Columbia, and the city of Cleveland is: $116,900—$243,100 USD What We Believe As a company wholly dedicated to serving the US federal government, we bring together the best talent to help reinvent how federal agencies operate and deliver greater value for their mission and the American people. We have an unwavering commitment to creating a culture in which all our people are respected, feel a sense of belonging, and have equal opportunity. As a business imperative, every person at Accenture Federal Services has the responsibility to create and sustain a culture where everyone feels welcomed and included. This is grounded in our core values and our experience that hiring and developing great people who reflect different perspectives, experiences, and backgrounds is key to driving innovation and delivering the results that our clients and the country count on. Equal Employment Opportunity Statement We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities. For details, view a copy of the Accenture Federal Services Equal Opportunity Policy Statement. Accenture Federal Services is an Equal Employment Opportunity employer. Additionally, as an Affirmative Action Employer for Veterans and Individuals with Disabilities, Accenture Federal Services is committed to providing veteran employment opportunities to our service men and women. Requesting An Accommodation Accenture Federal Services is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture Federal Services and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired. If you are being considered for employment opportunities with Accenture Federal Services and need an accommodation for a disability or religious observance during the interview process or for the job you are interviewing for, please speak with your recruiter. Other Employment Statements Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States. Candidates who are currently employed by a client of Accenture Federal Services or an affiliated Accenture business may not be eligible for consideration. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information. California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, please click here for additional important information.", "summaryDescription" : "Senior Data Scientist at Accenture Federal Services. Skills: Data Science, Machine Learning, Data Engineering, Business Intelligence. 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Technical writing; Technical editing", "documentationSkills" : "Permitting applications; Critical areas reports; Wetland reports; Water delineation reports; Mitigation plans; Monitoring plans; NEPA documents; SEPA documents; Biological evaluations; Biological assessments", "continuousLearning" : "Tuition reimbursement", "specialRequirements" : "Travel for projects, Local travel, Field work", "qualificationsBasic" : "Lead and direct wetland and stream delineations, Manage task level scope, budgets, and schedules, Oversee preparation of natural resources permitting applications, Lead development of critical areas reports, Contribute as an author on natural resource documents, Provide quality assurance / quality control review, Support project managers with client-agency communications, Develop proposals for biological-related tasks, Collaborate with junior and mid-level environmental staff, Perform other related duties as needed, Field data collection expertise in wildlife species, habitat, and wetlands and streams using GPS units, Experience with GPS units, GIS software and webmaps, Valid Washington State Driver’s license, Ability to travel locally on a regular basis", "qualificationsPreferred" : "Field experience with wetland and wildlife species and habitats in Washington State, Applied knowledge of ecological assessment, Applied knowledge of environmental impact analysis, Applied knowledge of environmental due diligence studies, Applied knowledge of natural biological resources management, Organization skills, Ability to work in a fast-paced work environment, Demonstrable technical writing/editing ability, Commitment to quality in work processes and products, Willingness to assume new roles, Demonstrated commitment to safety and quality, Attitude and commitment to being an active participant of our employee-owned culture, Candidates will need to travel for specific project assignments, Local candidates preferred, Professional Wetland Scientist (PWS)", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "At HDR, our employee-owners are fully engaged in creating a welcoming environment where each of us is valued and respected, a place where everyone is empowered to bring their authentic selves and novel ideas to work every day. As we foster a culture of inclusion throughout our company and within our communities, we constantly ask ourselves: What is our impact on the world? At HDR, our employee‑ownership model shapes everything we do, including how we support and care for our people. Our diverse service lines, including Water, Architecture, Building Engineering Services, Field Services, Power, Waste, Industrial, and Transportation reflect our commitment to shaping resilient, sustainable, and forward‑thinking communities around the world. Across these disciplines, our teams design and deliver solutions that safeguard public health, enhance quality of life, power innovation, and drive responsible growth. Whether advancing clean water, creating healing and learning environments, engineering next‑generation facilities, or building the infrastructure that moves people and energy, our work is rooted in technical excellence and a shared sense of purpose. Our employee‑owners collaborate across specialties, combining creativity, precision, and deep expertise to solve the most complex challenges facing our clients and communities. Watch Our Story: ' https://www.hdrinc.com/our-story' Each and every role throughout our organization makes a difference in our ability to change the world for the better. Read further to learn how you could help make great things possible not only in your community, but around the world. In the role of Senior Environmental Scientist, we'll count on you to: • Lead and direct wetland and stream delineations, functional assessments, wildlife surveys, and habitat evaluations while managing task level scope, budgets, and schedules. • Oversee preparation of natural resources permitting applications at federal, state and local level (e.g., Clean Water Act permitting Section 404/401 and WA State/local natural resources permitting) • Lead development of critical areas reports, wetland and water delineation reports, mitigation and monitoring plans and documents to address project impacts • Contribute as an author and/or strategic advisor on natural resource documents such as NEPA/SEPA documents, and biological evaluations/assessments (BAs). • Provide quality assurance / quality control (QA/QC) review of technical documents from disciplines noted above. • Support project managers and other technical staff with client-agency communications. • Develop proposals for biological-related tasks (preparing scopes, schedules, and budgets). • Effectively collaborate with junior and mid-level environmental staff, planners, project engineers, GIS specialists, and clients to achieve regulatory compliance on a variety of projects. • Perform other related duties as needed Preferred Qualifications • Field experience with wetland and wildlife species and habitats in Washington State. • Applied knowledge of ecological assessment, environmental impact analysis, environmental due diligence studies, natural/biological resources management and • Strong organization skills and ability to work in a fast-paced work environment with changing deadlines and priorities. • Demonstrable technical writing/editing ability, commitment to quality in both work processes and products and willingness to assume new roles are critical. • A demonstrated commitment to safety and quality, and an attitude and commitment to being an active participant of our employee-owned culture are essential. • Candidates will need to travel for specific project assignments. • Field data collection expertise in wildlife species, habitat, and wetlands and streams using GPS units • Professional Wetland Scientist (PWS) • Experience with GPS units, GIS software and webmaps, to support data collection, mapping, and reporting. . • Local candidates preferred • Valid Washington State Driver’s license and ability to travel locally on a regular basis to conduct field work. We provide a comprehensive benefits package that promotes employee ownership, employee health, performance, and success, which includes medical, dental, vision, short and long-term disability, life insurance, an employee assistance program, paid time away, parental leave, paid holidays, a retirement savings plan with employer match, employee referral bonus and tuition reimbursement. The expected compensation range for this position depends upon skills, experience, education and geographical location. (Stated benefits are for full-time regular positions. Temporary and part-time roles eligible for limited benefits.) Seattle/Bellevue/Everett, WA: %24128,184 - %24183,120; Gig Harbor, WA: %24117,502 - %24167,860; Olympia, WA: %24106,820 - %24152,600", "summaryDescription" : "Senior Environmental Scientist at HDR. Skills: Environmental science, Natural resources, Permitting, Field surveys. Lead and direct wetland delineations. 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As we foster a culture of inclusion throughout our company and within our communities, we constantly ask ourselves: What is our impact on the world? At HDR, our employee‑ownership model shapes everything we do, including how we support and care for our people. Our diverse service lines, including Water, Architecture, Building Engineering Services, Field Services, Power, Waste, Industrial, and Transportation reflect our commitment to shaping resilient, sustainable, and forward‑thinking communities around the world. Across these disciplines, our teams design and deliver solutions that safeguard public health, enhance quality of life, power innovation, and drive responsible growth. Whether advancing clean water, creating healing and learning environments, engineering next‑generation facilities, or building the infrastructure that moves people and energy, our work is rooted in technical excellence and a shared sense of purpose. Our employee‑owners collaborate across specialties, combining creativity, precision, and deep expertise to solve the most complex challenges facing our clients and communities. Watch Our Story: ' https://www.hdrinc.com/our-story' Each and every role throughout our organization makes a difference in our ability to change the world for the better. Read further to learn how you could help make great things possible not only in your community, but around the world. In the role of Senior Environmental Scientist, we'll count on you to: • Lead and direct wetland and stream delineations, functional assessments, wildlife surveys, and habitat evaluations while managing task level scope, budgets, and schedules. • Oversee preparation of natural resources permitting applications at federal, state and local level (e.g., Clean Water Act permitting Section 404/401 and WA State/local natural resources permitting) • Lead development of critical areas reports, wetland and water delineation reports, mitigation and monitoring plans and documents to address project impacts • Contribute as an author and/or strategic advisor on natural resource documents such as NEPA/SEPA documents, and biological evaluations/assessments (BAs). • Provide quality assurance / quality control (QA/QC) review of technical documents from disciplines noted above. • Support project managers and other technical staff with client-agency communications. • Develop proposals for biological-related tasks (preparing scopes, schedules, and budgets). • Effectively collaborate with junior and mid-level environmental staff, planners, project engineers, GIS specialists, and clients to achieve regulatory compliance on a variety of projects. • Perform other related duties as needed Preferred Qualifications • Field experience with wetland and wildlife species and habitats in Washington State. • Applied knowledge of ecological assessment, environmental impact analysis, environmental due diligence studies, natural/biological resources management and • Strong organization skills and ability to work in a fast-paced work environment with changing deadlines and priorities. • Demonstrable technical writing/editing ability, commitment to quality in both work processes and products and willingness to assume new roles are critical. • A demonstrated commitment to safety and quality, and an attitude and commitment to being an active participant of our employee-owned culture are essential. • Candidates will need to travel for specific project assignments. • Field data collection expertise in wildlife species, habitat, and wetlands and streams using GPS units • Professional Wetland Scientist (PWS) • Experience with GPS units, GIS software and webmaps, to support data collection, mapping, and reporting. . • Local candidates preferred • Valid Washington State Driver’s license and ability to travel locally on a regular basis to conduct field work. We provide a comprehensive benefits package that promotes employee ownership, employee health, performance, and success, which includes medical, dental, vision, short and long-term disability, life insurance, an employee assistance program, paid time away, parental leave, paid holidays, a retirement savings plan with employer match, employee referral bonus and tuition reimbursement. The expected compensation range for this position depends upon skills, experience, education and geographical location. (Stated benefits are for full-time regular positions. Temporary and part-time roles eligible for limited benefits.) Seattle/Bellevue/Everett, WA: %24128,184 - %24183,120; Gig Harbor, WA: %24117,502 - %24167,860; Olympia, WA: %24106,820 - %24152,600", "summaryDescription" : "Senior Environmental Scientist at HDR. Skills: Environmental science, Natural resources, Permitting, Ecological assessment. Lead and direct wetland and stream delineations. 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As we foster a culture of inclusion throughout our company and within our communities, we constantly ask ourselves: What is our impact on the world? At HDR, our employee‑ownership model shapes everything we do, including how we support and care for our people. Our diverse service lines, including Water, Architecture, Building Engineering Services, Field Services, Power, Waste, Industrial, and Transportation reflect our commitment to shaping resilient, sustainable, and forward‑thinking communities around the world. Across these disciplines, our teams design and deliver solutions that safeguard public health, enhance quality of life, power innovation, and drive responsible growth. Whether advancing clean water, creating healing and learning environments, engineering next‑generation facilities, or building the infrastructure that moves people and energy, our work is rooted in technical excellence and a shared sense of purpose. Our employee‑owners collaborate across specialties, combining creativity, precision, and deep expertise to solve the most complex challenges facing our clients and communities. Watch Our Story: ' https://www.hdrinc.com/our-story' Each and every role throughout our organization makes a difference in our ability to change the world for the better. Read further to learn how you could help make great things possible not only in your community, but around the world. In the role of Senior Environmental Scientist, we'll count on you to: • Lead and direct wetland and stream delineations, functional assessments, wildlife surveys, and habitat evaluations while managing task level scope, budgets, and schedules. • Oversee preparation of natural resources permitting applications at federal, state and local level (e.g., Clean Water Act permitting Section 404/401 and WA State/local natural resources permitting) • Lead development of critical areas reports, wetland and water delineation reports, mitigation and monitoring plans and documents to address project impacts • Contribute as an author and/or strategic advisor on natural resource documents such as NEPA/SEPA documents, and biological evaluations/assessments (BAs). • Provide quality assurance / quality control (QA/QC) review of technical documents from disciplines noted above. • Support project managers and other technical staff with client-agency communications. • Develop proposals for biological-related tasks (preparing scopes, schedules, and budgets). • Effectively collaborate with junior and mid-level environmental staff, planners, project engineers, GIS specialists, and clients to achieve regulatory compliance on a variety of projects. • Perform other related duties as needed Preferred Qualifications • Field experience with wetland and wildlife species and habitats in Washington State. • Applied knowledge of ecological assessment, environmental impact analysis, environmental due diligence studies, natural/biological resources management and • Strong organization skills and ability to work in a fast-paced work environment with changing deadlines and priorities. • Demonstrable technical writing/editing ability, commitment to quality in both work processes and products and willingness to assume new roles are critical. • A demonstrated commitment to safety and quality, and an attitude and commitment to being an active participant of our employee-owned culture are essential. • Candidates will need to travel for specific project assignments. • Field data collection expertise in wildlife species, habitat, and wetlands and streams using GPS units • Professional Wetland Scientist (PWS) • Experience with GPS units, GIS software and webmaps, to support data collection, mapping, and reporting. . • Local candidates preferred • Valid Washington State Driver’s license and ability to travel locally on a regular basis to conduct field work. We provide a comprehensive benefits package that promotes employee ownership, employee health, performance, and success, which includes medical, dental, vision, short and long-term disability, life insurance, an employee assistance program, paid time away, parental leave, paid holidays, a retirement savings plan with employer match, employee referral bonus and tuition reimbursement. The expected compensation range for this position depends upon skills, experience, education and geographical location. (Stated benefits are for full-time regular positions. Temporary and part-time roles eligible for limited benefits.) Seattle/Bellevue/Everett, WA: %24128,184 - %24183,120; Gig Harbor, WA: %24117,502 - %24167,860; Olympia, WA: %24106,820 - %24152,600", "summaryDescription" : "Senior Environmental Scientist at HDR. Skills: Environmental science, Natural resources, Permitting, Wetland science. Lead wetland delineations. 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In the role of Senior Environmental Scientist, we'll count on you to: • Lead and direct wetland and stream delineations, functional assessments, wildlife surveys, and habitat evaluations while managing task level scope, budgets, and schedules. • Oversee preparation of natural resources permitting applications at federal, state and local level (e.g., Clean Water Act permitting Section 404/401 and WA State/local natural resources permitting) • Lead development of critical areas reports, wetland and water delineation reports, mitigation and monitoring plans and documents to address project impacts • Contribute as an author and/or strategic advisor on natural resource documents such as NEPA/SEPA documents, and biological evaluations/assessments (BAs). • Provide quality assurance / quality control (QA/QC) review of technical documents from disciplines noted above. • Support project managers and other technical staff with client-agency communications. • Develop proposals for biological-related tasks (preparing scopes, schedules, and budgets). • Effectively collaborate with junior and mid-level environmental staff, planners, project engineers, GIS specialists, and clients to achieve regulatory compliance on a variety of projects. • Perform other related duties as needed Preferred Qualifications • Field experience with wetland and wildlife species and habitats in Washington State. • Applied knowledge of ecological assessment, environmental impact analysis, environmental due diligence studies, natural/biological resources management and • Strong organization skills and ability to work in a fast-paced work environment with changing deadlines and priorities. • Demonstrable technical writing/editing ability, commitment to quality in both work processes and products and willingness to assume new roles are critical. • A demonstrated commitment to safety and quality, and an attitude and commitment to being an active participant of our employee-owned culture are essential. • Candidates will need to travel for specific project assignments. • Field data collection expertise in wildlife species, habitat, and wetlands and streams using GPS units • Professional Wetland Scientist (PWS) • Experience with GPS units, GIS software and webmaps, to support data collection, mapping, and reporting. . • Local candidates preferred • Valid Washington State Driver’s license and ability to travel locally on a regular basis to conduct field work. We provide a comprehensive benefits package that promotes employee ownership, employee health, performance, and success, which includes medical, dental, vision, short and long-term disability, life insurance, an employee assistance program, paid time away, parental leave, paid holidays, a retirement savings plan with employer match, employee referral bonus and tuition reimbursement. The expected compensation range for this position depends upon skills, experience, education and geographical location. (Stated benefits are for full-time regular positions. Temporary and part-time roles eligible for limited benefits.) Seattle/Bellevue/Everett, WA: %24128,184 - %24183,120; Gig Harbor, WA: %24117,502 - %24167,860; Olympia, WA: %24106,820 - %24152,600", "summaryDescription" : "Senior Environmental Scientist at HDR. Skills: Environmental science, Natural resources, Wetland science, Wildlife biology. Lead wetland delineations. 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Our employee‑owners collaborate across specialties, combining creativity, precision, and deep expertise to solve the most complex challenges facing our clients and communities. Watch Our Story: ' https://www.hdrinc.com/our-story' Each and every role throughout our organization makes a difference in our ability to change the world for the better. Read further to learn how you could help make great things possible not only in your community, but around the world. In the role of Senior Environmental Scientist, we'll count on you to: • Lead and direct wetland and stream delineations, functional assessments, wildlife surveys, and habitat evaluations while managing task level scope, budgets, and schedules. • Oversee preparation of natural resources permitting applications at federal, state and local level (e.g., Clean Water Act permitting Section 404/401 and WA State/local natural resources permitting) • Lead development of critical areas reports, wetland and water delineation reports, mitigation and monitoring plans and documents to address project impacts • Contribute as an author and/or strategic advisor on natural resource documents such as NEPA/SEPA documents, and biological evaluations/assessments (BAs). • Provide quality assurance / quality control (QA/QC) review of technical documents from disciplines noted above. • Support project managers and other technical staff with client-agency communications. • Develop proposals for biological-related tasks (preparing scopes, schedules, and budgets). • Effectively collaborate with junior and mid-level environmental staff, planners, project engineers, GIS specialists, and clients to achieve regulatory compliance on a variety of projects. • Perform other related duties as needed Preferred Qualifications • Field experience with wetland and wildlife species and habitats in Washington State. • Applied knowledge of ecological assessment, environmental impact analysis, environmental due diligence studies, natural/biological resources management and • Strong organization skills and ability to work in a fast-paced work environment with changing deadlines and priorities. • Demonstrable technical writing/editing ability, commitment to quality in both work processes and products and willingness to assume new roles are critical. • A demonstrated commitment to safety and quality, and an attitude and commitment to being an active participant of our employee-owned culture are essential. • Candidates will need to travel for specific project assignments. • Field data collection expertise in wildlife species, habitat, and wetlands and streams using GPS units • Professional Wetland Scientist (PWS) • Experience with GPS units, GIS software and webmaps, to support data collection, mapping, and reporting. . • Local candidates preferred • Valid Washington State Driver’s license and ability to travel locally on a regular basis to conduct field work. We provide a comprehensive benefits package that promotes employee ownership, employee health, performance, and success, which includes medical, dental, vision, short and long-term disability, life insurance, an employee assistance program, paid time away, parental leave, paid holidays, a retirement savings plan with employer match, employee referral bonus and tuition reimbursement. The expected compensation range for this position depends upon skills, experience, education and geographical location. (Stated benefits are for full-time regular positions. Temporary and part-time roles eligible for limited benefits.) Seattle/Bellevue/Everett, WA: %24128,184 - %24183,120; Gig Harbor, WA: %24117,502 - %24167,860; Olympia, WA: %24106,820 - %24152,600", "summaryDescription" : "Senior Environmental Scientist at HDR. Skills: Environmental science, Natural resources, Permitting, Field data collection. Lead and direct wetland delineations. Lead and direct stream delineations", "createdAt" : "2026-06-15T23:08:10.050", "lastUpdated" : "2026-06-16T08:46:12.270", "ingestTimestamp" : "2026-06-15T23:08:10.050", "mongoId" : "6a3057caf292fd229cf3e145", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 106820, "salaryAnnualMax" : 183120, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Wetland delineations", "Stream delineations", "Functional assessments", "Wildlife surveys", "Habitat evaluations", "Permitting applications", "Natural resources permitting", "Critical areas reports", "Mitigation plans", "Monitoring plans", "NEPA documents", "SEPA documents", "Biological evaluations", "Biological assessments", "Field data collection", "GPS data collection", "Leadership", "Environmental science", "Natural resources", "Permitting", "Ecological assessment", "Environmental impact analysis", "Environmental due diligence", "Biological resources management", "Technical writing", "Technical editing", "Quality assurance", "Quality control", "Scope management", "Budget management", "Schedule management", "Wetland science", "Stream science", "Wildlife ecology", "Habitat evaluation", "Clean Water Act", "Section 404 permitting", "Section 401 permitting", "WA State permitting", "Local natural resources permitting", "NEPA", "SEPA", "Professional Wetland Scientist (PWS)", "GPS units", "GIS software", "Webmaps" ], "skillCount" : 46, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Environmental Services", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c8d5d74d8ee00a0978bc6", "title" : "Lead / Principal Data Scientist", "company" : "UptimeAI", "industry" : "Engineering", "salary" : { "min" : 3500000.0, "max" : 5500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for Lead Data Scientist in Bangalore, India, adjusted for the manufacturing industry and company size." }, "location" : "Bangalore (India)", "locations" : [ "Bangalore (India)" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T03:31:32.901", "fingerprint" : "148b77fc252f79245fd3d809f8a7f1e56cc137a3949e91529d33273144ee9809", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/uptimeai/c8738ec7-92a0-44bf-8fc3-9e83cc7e2f99/application", "externalId" : "c8738ec7-92a0-44bf-8fc3-9e83cc7e2f99", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bangalore", "state" : "Karnataka", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "hybrid", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bangalore, Karnataka, India", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "Python, TensorFlow, PyTorch, Scikit-learn, SQL, AWS, Azure, GCP, AI, ML, Deep Learning, SCADA, DCS, IoT", "professionalSkills" : [ "Computational modeling", "First-principles modeling", "Signal processing", "Feature engineering", "Model interpretability", "Model scalability", "Model accuracy", "Problem-solving", "Decision-making" ], "hardSkillsList" : [ "Predictive maintenance", "Process optimization", "Industrial performance intelligence", "Time-series analysis", "Sensor data analysis", "Telemetry data analysis", "Transient state detection", "Steady-state identification", "Inference pipelines", "Hybrid modeling", "Mass balances", "Energy balances", "Kinetics" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Predictive maintenance", "level" : "intermediate" }, { "name" : "Process optimization", "level" : "intermediate" }, { "name" : "Industrial performance intelligence", "level" : "intermediate" }, { "name" : "Time-series analysis", "level" : "intermediate" }, { "name" : "Sensor data analysis", "level" : "intermediate" }, { "name" : "Telemetry data analysis", "level" : "intermediate" }, { "name" : "Transient state detection", "level" : "intermediate" }, { "name" : "Steady-state identification", "level" : "intermediate" }, { "name" : "Inference pipelines", "level" : "intermediate" }, { "name" : "Hybrid modeling", "level" : "intermediate" }, { "name" : "Mass balances", "level" : "intermediate" }, { "name" : "Energy balances", "level" : "intermediate" }, { "name" : "Kinetics", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "AI, ML, Data Science, Industrial AI", "majorSkillsList" : [ "AI", "ML", "Data Science", "Industrial AI" ], "coreResponsibilities" : "Build production-grade AI systems, Deploy production-grade AI systems, Design agentic workflows, Reason in dynamic environments, Adapt in dynamic environments, Take actions in dynamic environments, Derive meaningful insights from industrial data, Collaborate with domain experts, Create context-aware AI solutions, Solve ambiguous problems, Develop advanced AI/ML models, Deploy advanced AI/ML models, Handle complex sensor data, Handle high-dimensional data, Handle time-series sensor data, Drive model interpretability, Drive model scalability, Drive model accuracy, Ensure robust performance, Integrate First-Principles Models with ML, Ensure physical consistency, Engineer features on telemetry data, Detect transient states, Identify steady states, Deploy inference pipelines, Respect edge-computing constraints, Validate models with industry experts, Derive insights with customers, Deliver measurable business outcomes, Incorporate innovative techniques, Contribute to thought leadership, Publish whitepapers, Obtain patents, Present at industry conferences, Mentor data scientists, Provide technical leadership", "teamCollaboration" : "Product teams; Engineering teams; Customer Success teams; Domain experts; Industry experts; Customers", "domainKnowledge" : "Industrial data; Thermodynamics; Fluid dynamics; Mechanical stress; Manufacturing; Energy sector; Oil & Gas; Power sectors; Industrial systems; IoT systems; SCADA systems; DCS systems; Industrial AI", "domainList" : [ "industrial-data", "thermodynamics", "fluid-dynamics", "mechanical-stress", "manufacturing", "energy-sector", "oil-gas", "power-sectors", "industrial-systems", "iot-systems", "scada-systems", "dcs-systems", "industrial-ai" ], "domainSpecificKnowledge" : [ "Industrial data", "Thermodynamics", "Fluid dynamics", "Mechanical stress", "Manufacturing", "Energy sector", "Oil & Gas", "Power sectors", "Industrial systems", "IoT systems", "SCADA systems", "DCS systems", "Industrial AI" ], "toolProficiency" : [ "TensorFlow", "PyTorch", "Scikit-learn", "AWS", "Azure", "GCP" ], "communicationSkills" : "Influence senior stakeholders", "continuousLearning" : "Continuous learning; Professional growth", "innovationCreativity" : "Innovative thinking; Creative thinking", "problemSolvingSkills" : "First-principles problem solving; Problem-solving; Decision-making", "outcomesObjectives" : "Improve operational efficiency; Improve reliability; Deliver actionable insights; Ensure maximum efficiency; Ensure reliability", "qualificationsBasic" : "5+ years of hands-on experience developing and deploying ML models, Hands-on experience with Python, Hands-on experience with TensorFlow/PyTorch, Hands-on experience with Scikit-learn, Hands-on experience with SQL, Hands-on experience with cloud ML platforms, Bachelor’s or higher in Chemical Engineering, Mechanical Engineering, Aerospace, or Applied Physics, Significant experience in heavy industry (for CS degrees), Background in handling time-series and sensor data", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "About UptimeAI: UptimeAI is leading the way in predictive analytics and AI-driven solutions to optimize operational uptime and reduce downtime for industrial and enterprise clients. Our innovative platform harnesses cutting-edge data science to deliver actionable insights, ensuring maximum efficiency and reliability. UptimeAI uniquely combines Artificial Intelligence with Subject Matter Knowledge from 200+ years of cumulative experience to explain interrelations across upstream/downstream equipment, adapt to changes, identify problems, and give prescriptive diagnosis like a human expert would. Recently receiving a funding round led by WestBridge Capital, UptimeAI is prime for global expansion Role : Lead / Principal Data Scientist Location: Bangalore- Karnataka (Hybrid) Experience: 5+ years Department: Data Science ROLE OVERVIEW We are looking for individuals who sit at the intersection of Data Science and Physical Sciences. You understand that industrial data isn't just rows in a database—it represents thermodynamics, fluid dynamics, and mechanical stress. The candidate should be capable of translating business problems into scalable AI solutions, leveraging creative thinking and first-principles problem solving. This role requires someone who can: · Build and deploy production-grade AI systems, not just prototypes · Design agentic workflows that can reason, adapt, and take actions in dynamic environments · Work with noisy, incomplete, and real-time industrial data to derive meaningful insights · Collaborate closely with domain experts (e.g., operations, reliability, or plant engineers) to create context-aware AI solutions · Demonstrate innovative thinking in solving ambiguous problems where standard approaches may not apply KEY RESPONSIBILITIES · Be a part of the design, development, and deployment of advanced AI/ML models for predictive maintenance, process optimization, and industrial performance intelligence · Collaborate closely with Product, Engineering, and Customer Success teams to translate business problems from industrial domains into data science solutions. · Guide the team in handling complex, high-dimensional, and time-series sensor data from IoT, SCADA, and DCS systems. · Drive model interpretability, scalability, and accuracy, ensuring robust performance in real-world production environments. · Hybrid Modeling: Integrate First-Principles Models (mass/energy balances, kinetics) with data-driven ML to ensure physical consistency in model outputs. · Signal Processing: Lead the strategy for feature engineering on high-frequency telemetry data from SCADA/DCS, focusing on transient state detection and steady-state identification. · Operationalization: Move beyond \"notebook AI\" to deploy robust, low-latency inference pipelines that respect the edge-computing constraints of industrial environments. · Partner with industry experts and customers to validate models, derive insights, and deliver measurable business outcomes. · Stay ahead of emerging trends in AI/ML, deep learning, and industrial AI to incorporate innovative techniques into UptimeAi’s product roadmap. · Contribute to thought leadership by publishing whitepapers, patents, or presenting at industry conferences · Mentor and provide technical leadership to data scientists, ensuring continuous upskilling and adoption of best practices QUALIFICATIONS · Bachelor’s or higher in Chemical Engineering, Mechanical Engineering, Aerospace, or Applied Physics with a heavy emphasis on computational modeling. (Candidates with CS degrees are welcome if they have significant experience in heavy industry). · 5+ years of hands-on experience developing and deploying ML models specifically within Manufacturing, Energy, Oil & Gas, or Power sectors. · Strong background in handling time-series and sensor data from industrial or IoT systems. · Hands-on experience with Python, TensorFlow/PyTorch, Scikit-learn, SQL, and cloud ML platforms (AWS, Azure, GCP). · Excellent problem-solving and communication skills with the ability to influence senior stakeholders. · Demonstrated ability to lead and mentor teams while being a hands-on contributor · Ability to work independently, with strong problem-solving and decision-making abilities Why to join UptimeAI: · Impact Industry-Wide Change: Contribute to transformative solutions that significantly improve operational efficiency and reliability for global clients. · Collaborative and Growth-Oriented Environment: Join a talented, passionate team that values innovation, continuous learning, and professional growth. · Opportunities for Leadership and Innovation: Lead pioneering projects, influence product development, and shape the future of industrial AI solutions.", "summaryDescription" : "Lead / Principal Data Scientist at UptimeAI. Skills: AI, ML, Data Science, Industrial AI. Build production-grade AI systems. 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Field PXT partners; Relevant support teams; HR teams; Legal teams; Leadership teams", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "Australian employment law", "domainList" : [ "australian-employment-law" ], "domainSpecificKnowledge" : [ "Australian employment law" ], "communicationSkills" : "Sensitive conversations", "documentationSkills" : "Investigative documentation", "problemSolvingSkills" : "Root cause analysis", "qualificationsBasic" : "Bachelor's degree or equivalent, 5+ years human resource generalist experience, 5+ years HR investigations specialist experience, Experience in conducting investigative fieldwork, Experience supporting hourly employee client groups, Experience in call center environments, Experience in distribution center environments, Experience in manufacturing environments, Understanding of Australian employment law framework", "qualificationsPreferred" : "Advanced degree or JD, Superior performance in previous roles, Career development evidence", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "At Amazon, we're working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, and driven people. Our businesses continues to grow and expand because of our customer focus, innovative technologies, and world class operations. Driving all of our businesses are talented employees who are strong owners, insist on the highest standards, and obsess over our customers. When employees are raising concerns, we owe them a fair, effective, and timely management of their case. We are looking for a Senior HR Investigator to lead complex ER and HR workplace investigations and address escalations concerning processes and policies across Amazon's Australia Operations network. In this newly created role, you will be the primary investigator for Australian operations, focusing on solving highly sensitive and ambiguous employee relations issues that might have significant business, legal, and reputational implications. With Australia's growing operations footprint, including fulfillment centers, sortation centers, delivery stations, and corporate offices, this role will be crucial in supporting our Australian workforce. The Senior HR Investigator will own cases independently and will work extensively with global peers, field PXT partners, and other relevant support teams to ensure the execution of intentional and thorough investigations primarily in Australia, with occasional support to other countries. Key job responsibilities • Lead complex workplace investigations, including conducting thorough interviews, analyzing evidence, preparing comprehensive reports, and recommending appropriate actions - all while managing cases independently from intake to closure • Analyze case data to identify trends, develop strategic solutions to prevent future incidents, and drive continuous improvement initiatives across the organization • Partner effectively with HR, Legal and Leadership teams at all levels, building trust and managing sensitive conversations while delivering results under tight deadlines • Demonstrate exceptional project management skills by balancing multiple investigations and strategic initiatives while maintaining high standards of quality and professionalism • Handle time-sensitive employee relations matters requiring immediate attention, while navigating complex stakeholder relationships and organizational dynamics • Drive proactive solutions by analyzing patterns in casework, implementing preventive measures, and contributing to policy improvements • Lead best practice investigation processes, ensuring compliance with company policies while maintaining confidentiality and professional integrity Basic Qualifications: - Bachelor's degree or equivalent in Business, Program Management, Human Resources, Employment Law, Computer Science, Finance, Computer Information Systems, Engineering, Operations Research or a related field - 5+ years human resource generalist experience or HR investigations specialist experience - Experience in conducting investigative fieldwork, including complainant, witness, and subject employee interviews, investigative data analysis, and production of investigative documentation - Experience supporting hourly employee client groups - Experience in call center, distribution center, or manufacturing environments - Understanding of Australian employment law framework Preferred Qualifications: - Advanced degree, JD, or other specialized training in labor/employee relations - Evidence of career development and/or evidence of superior performance in previous roles - Ability to provide leadership, work collaboratively on teams, and consult effectively and independently with all levels and functional areas of an organization. - Ability to influence and partner with different levels of the organization to achieve results - Ability to apply high judgment and consider the context and totality of the employee experience - Ability to identify root cause and pursue resolution of both acute and systemic defects Acknowledgement of country: In the spirit of reconciliation Amazon acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today. IDE statement: Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Senior HR Investigator at Amazon Australia. Skills: Employee relations, Workplace investigations, Case management. Lead complex workplace investigations. Conduct thorough interviews", "postedDate" : "2026-06-13T08:56:59.134", "createdAt" : "2026-06-13T08:56:59.134", "lastUpdated" : "2026-06-15T03:08:31.553", "ingestTimestamp" : "2026-06-13T08:56:59.134", "mongoId" : "6931903170f0b99d580879b6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3137229/apply", "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ "Interviewing", "Evidence analysis", "Report preparation", "Data analysis", "Case data analysis", "Investigative documentation", "Leadership", "Judgment", "Employee relations", "Workplace investigations", "Case management", "Policy analysis", "Strategic solutions", "Continuous improvement", "Stakeholder management", "Organizational dynamics", "Policy improvements", "Professional integrity", "Project management", "Australian employment law" ], "skillCount" : 20, "jobCategory" : "human-resources", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2ca3ba74d8ee00a09ad5ed", "title" : "Assoc Digital Producer", "company" : "Hasbro", "industry" : "Media", "salary" : { "min" : 365000.0, "max" : 545000.0, "currency" : "HKD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Associate Digital Producer in Hong Kong, adjusted for mid-level experience and the media industry." }, "location" : "Hong Kong", "locations" : [ "Hong Kong" ], "timestamp" : "2026-06-16T04:54:42.446", "fingerprint" : "9c64f7e9f14f9e77c8c14d1e694ded6fc3b2eb1df61420511899f318dd97643a", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/hasbro/jobs/4251875009", "externalId" : "4251875009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Hong Kong", "country" : "Hong Kong", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "22.2818333,114.1582831" } ], "locationText" : "Hong Kong, Hong Kong", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 4, "experienceMaxYears" : 6, "experienceLevel" : "Mid", "technicalSkills" : "CGI, Generative AI, 3D rendering, Photoshop, Illustrator, Blender, Cinema 4D, Maya, Midjourney, Firefly, Runway", "professionalSkills" : [ "Content creation", "Creative operations", "Asset management", "Workflow management", "Team coordination" ], "hardSkillsList" : [ "Digital production", "Asset production", "Content creation", "Creative operations", "Workflow management", "Team coordination", "Version control", "File versioning" ], "hardSkills" : [ { "name" : "Digital production", "level" : "intermediate" }, { "name" : "Asset production", "level" : "intermediate" }, { "name" : "Content creation", "level" : "intermediate" }, { "name" : "Creative operations", "level" : "intermediate" }, { "name" : "Workflow management", "level" : "intermediate" }, { "name" : "Team coordination", "level" : "intermediate" }, { "name" : "Version control", "level" : "intermediate" }, { "name" : "File versioning", "level" : "intermediate" } ], "majorSkills" : "Digital production, Asset management, Team coordination, Generative AI", "majorSkillsList" : [ "Digital production", "Asset management", "Team coordination", "Generative AI" ], "coreResponsibilities" : "Manage end-to-end production of digital-first visual assets, Oversee small team of digital creatives, Deliver high-quality, scalable content, Support global brand and eCommerce initiatives, Partner with Creative, Photo/Video Production, and Marketing teams, Ensure assets are delivered efficiently, on time, and, Focus on execution, workflow management, and team coordination, Support evolution of digital production capabilities, Own digital production projects end-to-end, Serve as day-to-day point of contact for stakeholders, Plan work from creative briefs, Define scope, timelines, and deliverables, Align priorities to business and eCommerce needs, Manage and prioritize day-to-day workflow for project group, Oversee creation of digital-first assets, Track progress, Manage dependencies, Drive on-time delivery across concurrent projects, Coordinate reviews and approvals, Incorporate feedback efficiently, Maintain brand standards and quality, Ensure proper organization and version control, Ensure final delivery of support continuous improvement, Partner with Photo/Video Production for continuity, Manage external vendors/freelancers", "teamCollaboration" : "Cross-functional teams; Creative teams; Marketing teams; Photo/Video Production", "projectManagementSkills" : [ "Project management", "Workflow management", "Prioritization" ], "domainKnowledge" : "Digital media; Design; Animation; Communications; eCommerce; Brand standards", "domainList" : [ "digital-media", "design", "animation", "communications", "ecommerce", "brand-standards" ], "domainSpecificKnowledge" : [ "Digital media", "Design", "Animation", "Communications", "eCommerce", "Brand standards" ], "toolProficiency" : [ "Adobe Creative Suite", "Microsoft Office", "Vizcom" ], "outcomesObjectives" : "Deliver high-quality, scalable content; Ensure assets are delivered efficiently, on time, and aligned with brand standards; Drive on-time delivery across concurrent projects; Maintain brand standards and quality; Support continuous improvement of workflows and tools", "qualificationsBasic" : "Bachelor's degree in Digital Media, Design, Animation, Communications, or related field, 4–6 years of experience in digital production, content creation, or creative operations, Experienced in managing digital asset workflows, including CGI, 3D rendering, or AI-assisted content creation, Experienced in coordinating or leading small teams or project groups, Experienced in working cross-functionally with creative and marketing teams, Familiarity with eCommerce and digital content requirements", "rawDescription" : "We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime. Position Summary The Associate Digital Producer is responsible for managing the end-to-end production of digital-first visual assets, including CGI renders, generative AI content, and derivative creative executions. This role oversees a small team of digital creatives to deliver high-quality, scalable content that supports global brand and eCommerce initiatives. Reporting to the Creative Producer, the Digital Producer partners closely with Creative, Photo/Video Production, and Marketing teams to ensure assets are delivered efficiently, on time, and aligned with brand standards. This role focuses on execution, workflow management, and team coordination, while supporting the evolution of digital production capabilities. Responsibilities Own digital production projects end-to-end, serving as the day-to-day point of contact for Creative, Production, and key stakeholders Plan work from creative briefs, defining scope, timelines, and deliverables, and aligning priorities to business and eCommerce needs Manage and prioritize day-to-day workflow for a project group of 4–6 digital creatives (CGI artists, designers, AI artists) Oversee creation of digital-first assets (CGI renders, generative AI imagery, and derivative executions from photo/video) Track progress, manage dependencies, and drive on-time delivery across concurrent projects Coordinate reviews and approvals, incorporating feedback efficiently while maintaining brand standards and quality Ensure proper organization, version control, and final delivery of assets; support continuous improvement of workflows and tools Partner with Photo/Video Production to ensure continuity across asset types; manage external vendors/freelancers as needed Qualifications / Requirements Bachelor’s degree (or equivalent) in Digital Media, Design, Animation, Communications, or related field. 4–6 years of experience in digital production, content creation, or creative operations Experienced in managing digital asset workflows, including CGI, 3D rendering, or AI-assisted content creation Experienced in coordinating or leading small teams or project groups Experienced in working cross-functionally with creative and marketing teams Familiarity with eCommerce and digital content requirements Skills and others Use strong project management and organization to handle multiple workstreams and shifting priorities Work across Adobe Creative Suite (e.g., Photoshop, Illustrator) to support production and reviews Understand CGI/rendering pipelines (e.g., Vizcom, Blender, Cinema 4D, Maya) to plan and troubleshoot work Leverage generative AI tools (e.g., Midjourney, Firefly, Runway) responsibly to scale and iterate output Apply working knowledge of asset management, file versioning, and Microsoft Office to support delivery Maintain high quality standards; adapt to evolving tools and workflows by documenting and sharing best practices COMPANY SUMMARY Hasbro is a global play and entertainment company known for iconic franchises such as Transformers, My Little Pony, Peppa Pig, Play-Doh, Power Rangers, Nerf, and Dungeons & Dragons. We create brand experiences spanning toys, games, digital content, licensing, and retail, combining consumer insights with creative innovation to deliver joy worldwide. Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include: Health & Wellness Time Off to Recharge Financial Well-being Life & Family Support Volunteer and Community Initiatives Learning & Development Exclusive Perks Please review our Applicant Privacy Notice to learn how we collect, use, and protect your personal information in connection with the application process.", "summaryDescription" : "Assoc Digital Producer at Hasbro. Skills: Digital production, Asset management, Team coordination, Generative AI. Manage end-to-end production of digital-first visual assets. Oversee small team of digital creatives", "postedDate" : "2026-06-14T19:18:41.350", "createdAt" : "2026-06-14T19:18:41.350", "lastUpdated" : "2026-06-16T04:54:42.446", "ingestTimestamp" : "2026-06-14T19:18:41.350", "mongoId" : "6a2ca3ba74d8ee00a09ad5ed", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Digital production", "Asset production", "Content creation", "Creative operations", "Workflow management", "Team coordination", "Version control", "File versioning", "Asset management", "Generative AI", "Project management", "Prioritization", "Digital media", "Design", "Animation", "Communications", "eCommerce", "Brand standards", "Adobe Creative Suite", "Microsoft Office", "Vizcom" ], "skillCount" : 21, "jobCategory" : "product", "jobSubcategory" : "design", "seniorityLevel" : "Junior", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Media", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30892ef292fd229c092f29", "title" : "FinCrime Investigator - AML Investigations", "company" : "Wise", "industry" : "Financial Services", "salary" : { "min" : 8300.0, "max" : 8300.0, "currency" : "BRL", "frequency" : "yearly", "is_estimated" : false }, "location" : "São Paulo, BR", "locations" : [ "São Paulo", "BR" ], "certifications" : [ "CAMS", "CFCS", "ICA" ], "timestamp" : "2026-06-16T12:16:26.678", "fingerprint" : "917237bdc5f0bf12c8c2c6f86591a27586fa4995d20c465b7e2e2dababb16b8f", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Wise/744000132280258-fincrime-investigator-aml-investigations", "externalId" : "744000132280258", "industryFunction" : { }, "structuredLocations" : [ { "city" : "São Paulo", "country" : "Brazil", "continent" : "sa", "source" : "llm", "workMode" : "hybrid", "geo" : "-23.5506507,-46.6333824" } ], "locationText" : "São Paulo, Brazil", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "SQL", "professionalSkills" : [ "Risk appetite", "Financial crime", "AML/CTF regulations", "Transaction monitoring", "KYC information" ], "hardSkillsList" : [ "Data analysis", "Investigation techniques" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Investigation techniques", "level" : "intermediate" } ], "majorSkills" : "AML Investigations, Financial Crime", "majorSkillsList" : [ "AML Investigations", "Financial Crime" ], "coreResponsibilities" : "Conduct investigations of suspicious activity, Analyze financial transactions, Analyze customer behavior, Identify patterns of money laundering, Identify patterns of fraud, Identify patterns of financial crimes, Evaluate alerts from monitoring systems, Assess alerts from detection tools, Gather supporting documentation, Analyze supporting documentation, Review data, Interpret data, Identify potential risks, Support team decisions, Prepare investigation reports, Document findings, Document recommendations, Act as escalation point, Provide guidance, Provide expertise, Mentor team members, Train team members, Collaborate with product teams, Collaborate with engineering teams, Improve fraud detection rules, Improve detection processes, Improve system enhancements, Stay up-to-date on trends, Stay up-to-date on typologies, Stay up-to-date on regulatory changes, Communicate with internal stakeholders, Liaise with financial institutions, Liaise with law enforcement agencies, Participate in ad-hoc projects, Participate in initiatives, Maintain records of investigations, Maintain records of activities, Provide input on process improvements, Provide input on backlog exercises, Complete mandatory trainings, Complete refresher trainings, Complete ad hoc trainings, Communicate with customers, Obtain necessary details from customers, Obtain clarifications from customers, Achieve individual targets, Achieve team targets, Meet deadlines, Optimize processing times, Take full ownership, Take full accountability, Deliver exceptional results, Perform additional tasks, Participate in meetings, Participate in training, Participate in internal events", "teamCollaboration" : "Product teams; Engineering teams; Compliance teams; Legal teams; Customer support teams", "domainKnowledge" : "Financial crime; Money laundering; Fraud; AML/CTF regulations", "domainList" : [ "financial-crime", "money-laundering", "fraud", "aml-ctf-regulations" ], "domainSpecificKnowledge" : [ "Financial crime", "Money laundering", "Fraud", "AML/CTF regulations" ], "toolProficiency" : [ "Transaction monitoring systems" ], "communicationSkills" : "Clear communication; Concise communication; Accurate communication; Professional communication; Customer communication", "documentationSkills" : "Report writing; Documentation", "continuousLearning" : "Mandatory trainings; Refresher trainings; Ad hoc trainings", "problemSolvingSkills" : "Problem-solving skills; Analytical skills", "outcomesObjectives" : "Achieve individual targets; Achieve team targets; Meet deadlines reliably; Optimize processing times; Deliver exceptional results", "qualificationsBasic" : "2+ years operations experience, 2+ years compliance experience, 2+ years related field experience, Proven ability to conduct investigations, Proven ability to analyze data, Proven ability to draw conclusions, Exceptional analytical skills, Exceptional problem-solving skills, Excellent documentation skills, Ability to work autonomously, Ability to identify tasks independently, Ability to apply learned procedures, Ability to apply best practices, Ability to take initiative, Ability to resolve issues, Verbal communication skills in English, Written communication skills in English", "qualificationsPreferred" : "Bachelor's degree in Finance, Bachelor's degree in Business Administration, Bachelor's degree in Law, Bachelor's degree in Criminal Justice, Bachelor's degree in related field, Experience in financial services, Experience in compliance, Experience in FinCrime investigations, Relevant certifications, Experience working in global financial institution, Experience working in fintech company, Knowledge of SQL, Knowledge of data analysis tools, Additional languages are a plus", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed. Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money. As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere. More about [our mission](https://wise.jobs/our-mission) and [what we offer](https://wise.jobs/what-we-offer). As a FinCrime Operations Investigator, you will play a critical role in safeguarding Wise and its customers from financial crime. You will be responsible for investigating and analyzing customer accounts, transactions and activities on our platform to detect and prevent money laundering, fraud, and other illicit activities. You will leverage your expertise to identify suspicious patterns, conduct thorough investigations, and ensure compliance with AML/CTF regulations and internal policies and procedures, all while adhering to Wise’s risk appetite. This role offers a unique opportunity to deepen your expertise in the FinCrime domain, contribute to a rapidly growing global company, and make a tangible impact on protecting our users and the integrity of our platform. Job Responsibilities * Conduct in-depth investigations of potentially suspicious activity, utilizing both internal and external data sources. * Analyze complex financial transactions and customer behavior to identify patterns indicative of money laundering, fraud, or other financial crimes. * Evaluate and assess alerts generated by transaction monitoring systems and other detection tools. * Gather and analyze supporting documentation, including KYC information, transaction records, and other relevant data. * Review and interpret data to identify patterns and potential risks associated with financial crime. Support the team in making informed decisions based on data insights. * Prepare detailed and comprehensive investigation reports, documenting findings and recommendations. * Act as a point of escalation for complex FinCrime cases from other operations teams, providing guidance and expertise. * Mentor and train other team members on FinCrime investigation techniques and best practices. * Collaborate with product and engineering teams to improve fraud detection rules, processes, and system enhancements. * Stay up-to-date on emerging FinCrime trends, typologies, and regulatory changes. * Communicate effectively with internal stakeholders, including compliance, legal, and customer support teams. * Liaise with financial institutions and law enforcement agencies as needed. * Participate in ad-hoc projects and initiatives related to FinCrime prevention and detection. * Maintain accurate and complete records of all investigations and related activities. * Provide input on process improvements and backlog exercises. * Complete all company-assigned mandatory, refresher or ad hoc trainings on time and with diligence. * Customer Communication: Communicate clearly, professionally, and empathetically with customers via approved channels to obtain necessary details or clarifications for reviews, always upholding our high customer experience standards. A key part of this involves avoiding unnecessary customer contacts and preventing delayed case resolutions. All communication must be precisely tailored to ensure clarity and efficiency. * KPIs: Take a proactive approach to consistently achieve individual and team targets (KPIs, SLAs, QA), demonstrating a strong commitment to both quality and speed. This includes meeting deadlines reliably, optimizing processing times, and taking full ownership and accountability for all responsibilities to deliver exceptional results. * Other: Perform additional tasks as assigned by your lead, demonstrating adaptability and a proactive approach. This includes actively participating in meetings, training, and internal events to support broader team and company objectives. ## Qualifications * Strong verbal and written communication skills in English, with the ability to produce clear, concise, accurate, and professional reports, summaries, and customer communications. Additional languages are a plus. * 2+ years of experience in operations, compliance, or a related field, preferably with exposure to financial crime or AML processes. * Proven ability to conduct thorough and objective investigations, analyze complex data, and draw logical conclusions. * Exceptional analytical and problem-solving skills, with a keen attention to detail. * Excellent documentation skills, with the ability to present complex information clearly, concisely, and accurately for both internal and external use, ensuring all decisions are thoroughly supported. * Ability to work independently and make decisions within well-defined procedures. * Strong organizational skills with the ability to multitask, prioritize effectively, and manage time efficiently in challenging situations. * Willingness to work flexible hours, including shifts, weekends, and public holidays as needed. * Proactive attitude with a willingness to learn and develop in the financial crime domain. * Ability to work autonomously within established procedures and practices. Ability to work autonomously, proactively identifying and addressing tasks independently by applying learned procedures and best practices. This role requires taking initiative and effectively resolving issues within established frameworks. Nice to have: * Bachelor’s degree in Finance, Business Administration, Law, Criminal Justice, or a related field. * Experience in financial services, compliance, or a related field, with a focus on FinCrime investigations * Relevant certifications such as CAMS, CFCS, ICA, or equivalent. * Experience working in a global financial institution or fintech company. * Knowledge of SQL or other data analysis tools. ## Additional Information * Location: São Paulo, Brazil (Hybrid) * Compensation: 8300 BRL gross per month * Language Requirement: Please submit your resume in English. Resumes in Portuguese will not be considered. * Work Eligibility: Candidates must already be authorized to work in Brazil. We are unable to provide visa sponsorship or relocation packages for this role. * Remote Status: This is a hybrid role requiring office presence; it is not a fully remote position. * Benefits:[ Click here to see the benefits we offer!](https://www.google.com/search?q=link) Hiring Process: * Application (Resume + Cover Letter) * Test Assignment * Recruiter Screening * Final Interview For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. We're proud to have a truly international team, and we celebrate our differences. Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers. If you want to find out more about what it's like to work at Wise visit [Wise.Jobs](https://www.wise.jobs/). Keep up to date with life at Wise by following us on [LinkedIn](https://www.linkedin.com/company/1769571/) and [Instagram](https://www.instagram.com/wisecareers/).", "summaryDescription" : "FinCrime Investigator - AML Investigations at Wise. Skills: AML Investigations, Financial Crime. Conduct investigations of suspicious activity. Analyze financial transactions", "postedDate" : "2026-06-15T20:19:05.000", "createdAt" : "2026-06-16T01:42:41.189", "lastUpdated" : "2026-06-16T12:16:26.678", "ingestTimestamp" : "2026-06-16T01:42:41.189", "mongoId" : "6a30892ef292fd229c092f29", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Data analysis", "Investigation techniques", "AML Investigations", "Financial Crime", "Risk appetite", "Financial crime", "AML/CTF regulations", "Transaction monitoring", "KYC information", "Money laundering", "Fraud", "CAMS", "CFCS", "ICA", "Transaction monitoring systems" ], "skillCount" : 15, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ca3ba74d8ee00a09ad5ef", "title" : "Assoc Graphic Designer", "company" : "Hasbro", "industry" : "Manufacturing", "salary" : { "min" : 215000.0, "max" : 305000.0, "currency" : "HKD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Junior Graphic Designer in Hong Kong, adjusted for the media industry and company size." }, "location" : "Hong Kong", "locations" : [ "Hong Kong" ], "timestamp" : "2026-06-15T21:27:35.427", "fingerprint" : "0682383b42995b83f4dcc6d20b2ffdee88167a2a19dbba589b0e039ab5687676", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/hasbro/jobs/4259249009", "externalId" : "4259249009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Hong Kong", "country" : "Hong Kong", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "22.2818333,114.1582831" } ], "locationText" : "Hong Kong, Hong Kong", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 2, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "Illustrator, Photoshop, InDesign, Acrobat, Word, Excel, Keyshot, Blender, Maya, Zbrush, 3Ds Max, Stable Diffusion, Firefly, Copilot, Vizcom, Meshy", "professionalSkills" : [ "Creative strategy", "Presentation skills" ], "hardSkillsList" : [ "Graphic design", "3D rendering", "Illustration", "Iconography", "Logo design", "Image retouching" ], "hardSkills" : [ { "name" : "Graphic design", "level" : "intermediate" }, { "name" : "3D rendering", "level" : "intermediate" }, { "name" : "Illustration", "level" : "intermediate" }, { "name" : "Iconography", "level" : "intermediate" }, { "name" : "Logo design", "level" : "intermediate" }, { "name" : "Image retouching", "level" : "intermediate" } ], "majorSkills" : "Graphic design, Packaging design, Digital graphics", "majorSkillsList" : [ "Graphic design", "Packaging design", "Digital graphics" ], "coreResponsibilities" : "Develop innovative design solutions, Create print graphics, Create digital graphics, Develop packaging solutions, Develop packaging layouts, Develop instruction layouts, Create presentation assets, Produce 3D renderings, Produce animations, Apply QA requirements, Apply legal requirements, Create illustrations, Create iconography, Create logos, Create informational graphics, Clip images, Retouch images, Achieve key milestones, Meet delivery dates, Manage item-level schedules, Ensure alignment with teams, Conduct trend research, Present trend research", "teamCollaboration" : "Cross functional teams; Cross-functional teams", "projectManagementSkills" : [ "Manage schedules" ], "domainKnowledge" : "Brand DNA; Packaging requirements", "domainList" : [ "brand-dna", "packaging-requirements" ], "domainSpecificKnowledge" : [ "Brand DNA", "Packaging requirements" ], "toolProficiency" : [ "Illustrator", "Photoshop", "InDesign", "Acrobat", "Word", "Excel", "Keyshot", "Blender", "Maya", "Zbrush", "3Ds Max", "Stable Diffusion", "Firefly", "Copilot", "Vizcom", "Meshy" ], "communicationSkills" : "Communicate effectively; Oral communication; Written communication", "continuousLearning" : "Stay updated on industry trends; Stay updated on design tools; Stay updated on emerging technologies", "innovationCreativity" : "Develop innovative design solutions", "qualificationsBasic" : "Bachelor's degree in Graphic Design, 2+ years’ experience in related industry", "qualificationsPreferred" : "Experience with AI tools is an asset", "rawDescription" : "We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime. Position Summary We are seeking a creative and passionate Associate Graphic Designer to work under the supervision of the Graphic Design Leaders to develop innovative design solutions with high visual impact, create print and digital graphics that clearly convey messages, and meet key deadlines for projects. You will collaborate closely with cross functional teams to deliver packaging solutions that protect our products and captivate consumers on the shelf. Core functions will be developing packaging, instructions and eComm visuals/assets from initial conceptualization, branding to final production-ready artwork and managing item level schedule. Responsibilities Develop package/instructions layouts based on brand DNA Create packaging-related presentation assets Produce 3D renderings and animations Consider and apply QA and legal package requirements to packaging/instructions Create illustrations, iconography, logos, and informational graphics Clip and retouch images Collaborate with the team to achieve key milestones and delivery dates. Manage item-level schedules. Ensure alignment with cross functional teams Conduct and present trend research Qualifications / Requirements Bachelor's degree in Graphic Design, Fine Arts, 3D, Digital Design or equivalent experience 2+ years’ experience in related industry Skills Contribute to creative strategy with cross-functional team Attention to detail with a drive for excellence Deliver projects from concept to completion Work independently Communicate effectively, both orally and in writing in English Highly proficient in Illustrator, Photoshop, InDesign, Acrobat, Word, Excel and at least two 3D software such as Keyshot, Blender, Maya, Zbrush, 3Ds Max… Experience with AI tools (Stable Diffusion, Firefly, Copilot, Vizcom, Meshy…) is an asset Organized and multi-tasking Strong presentation skills Adaptability to fast-paced, changing environments Stay updated on industry trends, design tools, and emerging technologies for improving digital content COMPANY SUMMARY Hasbro is a global play and entertainment company known for iconic franchises such as Transformers, My Little Pony, Peppa Pig, Play-Doh, Power Rangers, Nerf, and Dungeons & Dragons. We create brand experiences spanning toys, games, digital content, licensing, and retail, combining consumer insights with creative innovation to deliver joy worldwide. Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include: Health & Wellness Time Off to Recharge Financial Well-being Life & Family Support Volunteer and Community Initiatives Learning & Development Exclusive Perks Please review our Applicant Privacy Notice to learn how we collect, use, and protect your personal information in connection with the application process.", "summaryDescription" : "Assoc Graphic Designer at Hasbro. Skills: Graphic design, Packaging design, Digital graphics. Develop innovative design solutions. Create print graphics", "postedDate" : "2026-06-14T18:40:23.894", "createdAt" : "2026-06-14T18:40:23.894", "lastUpdated" : "2026-06-15T21:27:35.427", "ingestTimestamp" : "2026-06-14T18:40:23.894", "mongoId" : "6a2ca3ba74d8ee00a09ad5ef", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Graphic design", "3D rendering", "Illustration", "Iconography", "Logo design", "Image retouching", "Packaging design", "Digital graphics", "Creative strategy", "Presentation skills", "Manage schedules", "Brand DNA", "Packaging requirements", "Illustrator", "Photoshop", "InDesign", "Acrobat", "Word", "Excel", "Keyshot", "Blender", "Maya", "Zbrush", "3Ds Max", "Stable Diffusion", "Firefly", "Copilot", "Vizcom", "Meshy" ], "skillCount" : 29, "jobCategory" : "product", "jobSubcategory" : "design", "seniorityLevel" : "Junior", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Media", "llmIndustryConfidence" : 0.97 }, { "id" : "6a2ca3ba74d8ee00a09ad5f8", "title" : "Assoc Packaging Designer", "company" : "Hasbro", "location" : "P.R. China", "locations" : [ "P.R. China" ], "timestamp" : "2026-06-15T13:57:28.501", "fingerprint" : "fdf7e2fae929213267c78689e1a718a743bb977d1ecfb56b2e9135a6f7f4001b", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/hasbro/jobs/4265920009", "externalId" : "4265920009", "industryFunction" : { }, "structuredLocations" : [ { "country" : "China", "continent" : "as", "workMode" : "onsite" } ], "locationText" : "China", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor", "experienceMinYears" : 2, "experienceMaxYears" : 2, "experienceLevel" : "Junior", "technicalSkills" : "Photoshop, Illustrator, InDesign CC", "professionalSkills" : [ "Packaging graphics, color proofing, print production process and practices." ], "hardSkillsList" : [ "Photoshop", "Illustrator", "InDesign CC" ], "softSkillsList" : [ "Self-driven" ], "hardSkills" : [ { "name" : "Photoshop", "level" : "intermediate" }, { "name" : "Illustrator", "level" : "intermediate" }, { "name" : "InDesign CC", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Self-driven" } ], "majorSkills" : "Packaging artwork adaptation, Prepress file preparation, Graphic design, Photoshop, Illustrator", "majorSkillsList" : [ "Packaging artwork adaptation, Prepress file preparation, Graphic design, Photoshop, Illustrator" ], "coreResponsibilities" : "Executing adaptation and production of packaging graphics, including artwork localization, versioning, and prepress-ready file preparation. Supporting the delivery of high-quality, accurate, and scalable packaging assets that meet global brand standards and regional regulatory requirements. Collaborating with Creative, Product Development, QA, and cross-functional teams to ensure packaging deliverables are executed efficiently and compliant with technical specifications. Focusing on precise artwork execution while contributing to continuous improvement in packaging processes and production capabilities.", "teamCollaboration" : "Collaborates closely with Creative, Product Development, QA, and cross-functional teams.", "toolProficiency" : [ "Microsoft Office, Photoshop, Illustrator, InDesign CC" ], "communicationSkills" : "English; Cantonese; Putonghua", "continuousLearning" : "Support continuous improvement initiatives by identifying opportunities to enhance packaging design processes, templates, and workflows.", "problemSolvingSkills" : "Packaging design processes; Packaging workflows", "specialRequirements" : "Good command of English and Cantonese, fluent in Putonghua. Willing to learn new technologies.", "outcomesObjectives" : "Deliver high-quality, accurate, and scalable packaging assets that meet global brand standards and regional regulatory requirements. Ensure packaging deliverables are executed efficiently and compliant with technical specifications.", "qualificationsBasic" : "Bachelor’s degree (or equivalent) in Graphic Design or Packaging Design. At least 2 years of experience in Graphic/Packaging Design. Basic knowledge in Microsoft Office. Proficient in Macintosh platform: Photoshop, Illustrator and InDesign CC. Basic knowledge of graphics, packaging, color proofing, print production process and practices.", "qualificationsPreferred" : "Print production experience is preferred.", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime. Position Summary The Associate Packaging Graphic Designer is responsible for executing adaptation and production of packaging graphics, including artwork localization, versioning, and prepress-ready file preparation. This role supports the delivery of high-quality, accurate, and scalable packaging assets that meet global brand standards and regional regulatory requirements. Reporting to the team leader, the Associate Packaging Graphic Designer collaborates closely with Creative, Product Development, QA, and cross-functional teams to ensure packaging deliverables are executed efficiently and compliant with technical specifications. This role focuses on precise artwork execution while contributing to continuous improvement in packaging processes and production capabilities. Responsibilities Develop and execute packaging artwork aligned with brand, marketing, and regulatory requirements from concept through final release, including layouts, typography, imagery, icons, barcodes, and legal copy placement. Adapt master designs for regional needs, including language localization and format changes and ensure artwork meets brand standards, print specifications, and technical guidelines. Collaborate with cross-functional teams to resolve design and production issues. Manage multiple projects with strong quality checks while driving continuous process improvements. Support continuous improvement initiatives by identifying opportunities to enhance packaging design processes, templates, and workflows. Create digital assets for E-comm purpose. Qualifications / Requirements Bachelor’s degree (or equivalent) in Graphic Design or Packaging Design. At least 2 years of experience in Graphic/Packaging Design. Basic knowledge in Microsoft Office Proficient in Macintosh platform: Photoshop, Illustrator and InDesign CC. Basic knowledge of graphics, packaging, color proofing, print production process and practices Print production experience is preferred Skills and others Self-driven to solve problem Strong design sense and presentation skills Good command of English and Cantonese, fluent in Putonghua Willing to learn new technologies COMPANY SUMMARY Hasbro is a global play and entertainment company known for iconic franchises such as Transformers, My Little Pony, Peppa Pig, Play-Doh, Power Rangers, Nerf, and Dungeons & Dragons. We create brand experiences spanning toys, games, digital content, licensing, and retail, combining consumer insights with creative innovation to deliver joy worldwide. Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include: Health & Wellness Time Off to Recharge Financial Well-being Life & Family Support Volunteer and Community Initiatives Learning & Development Exclusive Perks Please review our Applicant Privacy Notice to learn how we collect, use, and protect your personal information in connection with the application process.", "summaryDescription" : "Assoc Packaging Designer at Hasbro. Skills: Packaging artwork adaptation, Prepress file preparation, Graphic design, Photoshop, Illustrator. Executing adaptation and production of packaging graphics, including artwork localization, versioning, and prepress-ready file preparation. Supporting the delivery of high-quality, accurate, and scalable packaging assets that meet global brand standards and regional regulatory requirements. Collaborating with Creative, Product Development, QA, and cross-fun", "postedDate" : "2026-06-14T21:36:09.209", "createdAt" : "2026-06-14T21:36:09.209", "lastUpdated" : "2026-06-15T13:57:28.501", "ingestTimestamp" : "2026-06-14T21:36:09.209", "mongoId" : "6a2ca3ba74d8ee00a09ad5f8", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "hasSalary" : false, "allSkills" : [ "Photoshop", "Illustrator", "InDesign CC", "Self-driven", "Packaging artwork adaptation, Prepress file preparation, Graphic design, Photoshop, Illustrator", "Packaging graphics, color proofing, print production process and practices.", "Microsoft Office, Photoshop, Illustrator, InDesign CC" ], "skillCount" : 7, "jobCategory" : "product", "jobSubcategory" : "design", "seniorityLevel" : "Junior", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Entertainment", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c6a8a74d8ee00a090c85c", "title" : "Senior / Principal Scientist, ADC Conjugation Process Development", "company" : "Immunome, Inc.", "industry" : "Biotech", "salary" : { "min" : 146000.0, "max" : 188000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Bothell, Washington, United States", "locations" : [ "Bothell", "Washington", "United States" ], "timestamp" : "2026-06-16T01:27:46.638", "fingerprint" : "d2cc8a50652feedeac13c5d3a2129052957e3531e98df4a745b6b6a89ddb58b1", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/immunomeinc/jobs/5253227008", "externalId" : "5253227008", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bothell", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.7623204,-122.2054035" } ], "locationText" : "Bothell, Washington, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "rawDescription" : "Company Overview Immunome is a clinical-stage targeted oncology company committed to developing first-in-class and best-in-class targeted cancer therapies. We are advancing an innovative portfolio of therapeutics, supported by a leadership team with deep experience in the design, development, and commercialization of cutting-edge therapies, including antibody-drug conjugates. Our pipeline includes varegacestat, an investigational gamma secretase inhibitor for which an NDA has been submitted to the U. S. FDA; IM-1021, a clinical-stage ROR1 ADC; IM-3050, an IND-cleared FAP-targeted radiotherapy; and IM-1617, an IND-cleared solid tumor ADC. We are also advancing a broad portfolio of early-stage ADCs pursuing undisclosed solid tumor targets. Position Overview We are seeking an experienced and motivated Senior/Principal Scientist in ADC Conjugation Process Development to support our growing pipeline. This role will be responsible for the optimization of critical conjugation and purification process parameters for ADC Drug Substance (DS) Development. The preferred candidate will coordinate and execute strategies from milligram to multi-gram scales, including tox/GMP batches, while demonstrating practical expertise in different methodologies and purification strategies for clinical and commercial-stage ADC DS manufacturing. The ideal candidate will have experience with technology transfer, regulatory compliance, and coordination with CDMO partners at GMP manufacturing facilities. A strong working knowledge of different conjugation technologies and cytotoxic linker-payloads is essential, as is experience with standard analytical and characterization approaches used for both biologics and ADCs. Responsibilities Implement and execute ADC Conjugation Process Development (PD) strategies, including Design of Experiment (DOE) and One Factor at a Time (OFAT) approaches for critical reaction parameters. Oversee the progression of ADC batch sizes from milligram to >100 g scales to support not only PD optimization, but analytical and formulation development, DS/DP stability studies, and in vivo experiments (including critical GLP tox studies) for both IND- and BLA-stage activities. Lead the multi-gram scale purification optimization for both antibody intermediates and ADCs via ultrafiltration/diafiltration (UF/DF), and, if required, preparative chromatography or other approaches. Fulfill role as ADC DS subject matter expert (SME) on both internal cross-functional CMC teams and for external CDMO partners to ensure alignment on ADC program goals, deliverables, and objectives. Occasional travel to advise and oversee Development and GMP manufacturing processes will be expected. Prepare essential documentation (SOPs, protocols, and reports) to support tech transfers, GMP activities, and regulatory submissions for clinical development and commercialization. Stay current with emerging trends, innovations, and regulatory requirements for ADC DS, integrating necessary or potentially beneficial features into our internal company strategies and workflows. Lead/support authoring and reviewing of relevant module 3 sections of regulatory submissions (IND, IMPD, BLA, etc.), along with, if necessary, responding to information requests and interfacing with global health authorities. Qualifications A Bachelors, Masters, or Ph. D. degree in Chemistry, Chemical/Biochemical Engineering, Biotechnology, or a related field. A minimum of 5 years of biotech/biopharma industry experience with a Ph.D., 8 years with a Master’s, or 10 years with a Bachelor’s degree. An ADC or Conjugation/Bioconjugation Process Development focus is required. Demonstrated success with the development and scale-up of different ADC conjugation technologies and strategies, including a proven ability to work with a variety of different small molecule linker-payloads and antibody intermediate materials. Expected expertise in relevant laboratory operations and equipment necessary for successful execution of development activities. Prior experience with tech transfer, external CDMO engagement (encompassing both Development and GMP manufacturing activities), and internal coordination with relevant cross-functional teams. Knowledge and Skills A strong understanding of the common conjugation, purification, analytical, and characterization approaches used for ADCs, with a solid foundation in overcoming some of the challenges encountered in these workflows. Expertise in tangential flow filtration (TFF) at the multi-gram scale for the efficient removal of unreacted linker-payloads and to provide a stable ADC DS formulation. Good working knowledge of standard analytical and characterization techniques used for ADCs including, but not limited to, SEC, HIC, and RP U/HPLC chromatographic methods in addition to LC-MS, icIEF, and CE-SDS strategies for biomolecules and related conjugates. Knowledge of GMP standards and regulatory guidelines, with experience supporting IND, INDa, and BLA submissions. The ability to manage multiple projects simultaneously while being able to prioritize and balance hands-on tasks with strategic responsibilities. Exceptional communication skills, with an emphasis on effective collaborations with both internal stakeholders and external partners. Washington State Pay Range $146,000—$188,000 USD E/E/O Immunome, Inc. is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. E-Verify Immunome, Inc. is a participant in E-Verify. Please review the following notices: E-Verify Participation Poster | Right to Work Poster (English) | Right to Work Poster (Spanish).", "summaryDescription" : "Senior / Principal Scientist, ADC Conjugation Process Development at Immunome, Inc.", "postedDate" : "2026-06-14T20:01:49.008", "createdAt" : "2026-06-14T20:01:49.008", "lastUpdated" : "2026-06-16T01:27:46.638", "ingestTimestamp" : "2026-06-14T20:01:49.008", "mongoId" : "6a2c6a8a74d8ee00a090c85c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 146000, "salaryAnnualMax" : 188000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.98 }, { "id" : "69d059fd2beec4dd3dbf3732", "title" : "Investigator, ISAU", "company" : "Office of the Inspector General", "salary" : { "min" : 75000.0, "max" : 110000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Investigator in the Government industry in Boston, USA, adjusted for seniority and industry." }, "location" : "Massachusetts-Boston", "locations" : [ "Massachusetts-Boston", "Unclassified", "Office of the Inspector General, Full-time, Full-time" ], "timestamp" : "2026-06-15T22:51:55.098", "fingerprint" : "4e381c7af517a83906dfdec2a18a39a285adb437260a839947e0d050ea7aa4a6", "source" : "taleo", "language" : "en", "applyUrl" : "https://massanf.taleo.net/careersection/ex/jobdetail.ftl?job=1080995", "externalId" : "1080995", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Boston", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.3588336,-71.0578303" } ], "locationText" : "Boston, Massachusetts, United States", "remoteFriendly" : false, "rawDescription" : "About the Office of the Inspector General (OIG or Office)  The Massachusetts OIG is at the forefront of promoting effective government and the responsible use of public money and property. The OIG is an independent state agency charged with preventing and detecting fraud, waste, and abuse in the use of public funds and public property. The OIG has broad oversight of how state and local governments use federal, state and local funds and property. The Office is led by the Inspector General of the Commonwealth, who is appointed by the Governor, Attorney General and Auditor. M.G.L. c. 12A, § 2. The OIG is organized into three bureaus: Specialty & General Government, Legal & Compliance, and Operations, Training & Publications. The bureaus focus on specific agencies, issues, or functions. See Welcome to the Office of the Inspector General | Mass.gov for more information about the OIG. Further details may be found at Chapter 12A (malegislature.gov) . Specialty and General Government Bureau The Specialty & General Government Bureau is managed by the Deputy Inspector General. This bureau safeguards public assets through oversight of specific agencies (both statutory and OIG- created divisions), special government funding (like pandemic relief), and more broadly, procurement, state and local government. Internal Special Audit Unit The Internal Special Audit Unit (ISAU) monitors the quality, efficiency and integrity of the Massachusetts Department of Transportation's (MassDOT) and the Massachusetts Bay Transportation Authority (MBTA) operating and capital programs. The ISAU's oversight encompasses all MassDOT's divisions: the Highway Division, the Registry of Motor Vehicles, Rail and Transit, the Aeronautics Division, and the MBTA. By statute, the ISAU is mandated to examine and assess MassDOT’s and MBTA’s governance, risk-management practices and internal processes to ensure they are adequate and effective. As part of its mission, the ISAU conducts investigations and reviews to prevent and detect fraud, waste and abuse of transportation and transit dollars. To help protect transportation funds, the division collaborates with MassDOT and the MBTA to identify ways to lower costs, recover funds, and stop wasteful spending. The ISAU also works to prevent and detect fraud, waste and abuse in the expenditure of public funds on transportation related programs and projects by regional transit authorities and cities and towns. The ISAU operates two confidential hotlines - one for the public and one for MassDOT and MBTA employees to report suspected fraud, waste, or abuse in public transportation spending. Investigator, Internal Special Audit Unit: Position Overview The OIG is seeking candidates who are passionate about public service and who are dedicated to improving the way government delivers public services. The OIG is at the forefront of promoting effective government and responsible use of public money and property. The successful candidate will be an integral part of the collaborative ISAU team that identifies ways MassDOT, the MBTA, and regional and local government entities can operate effectively and prevent and detect fraud, waste, and abuse of transportation dollars. Investigators within the ISAU proactively develop plans to review and investigate transportation and transit operations and spending, as well as complaints received on the ISAU’s public-facing hotlines. The OIG expects that investigators perform reviews and investigations of transportation and transit operations and spending, carry out a range of review and investigative steps, including background research, evaluating hotline complaints, participating in interviews with external parties, documenting meetings, and performing analyses using various forms of evidence. Responsibilities include but are not limited to:    Develop plans to investigate fraud, waste and abuse in the expenditure of public funds or the use of public resources. Conduct prep work, plan for and attend meetings with MassDOT, MBTA, and other state employees related to transportation and transit topics and prepare detailed meeting summaries. Perform a range of investigative duties, such as background research, gathering and evaluating evidence, reviewing documents, and analyzing data and financial records. Document review and investigatory analyses and test work to provide a basis for findings, conclusions and recommendations. Assist with research and response related to the unit’s public-facing hotline for residents and employees of the Commonwealth. Draft facts, memos, investigative letters and reports that detail findings and recommendations. Work collaboratively with team of counsel and investigators, as well as other Office divisions, management and professional staff. Assist in review and investigative case planning. Create meeting agendas and questions for external meetings. Takes detailed meeting and interview notes, documents meeting summaries for supervisor review. Review and analyze data, documents and evidence from multiple sources, and develop conclusions. Draft administrative document requests and summonses. Draft sections of reports, letters and memorandums, and recommend corrective actions to improve MassDOT and MBTA processes and procedures. Support the day-to-day operations of ISAU's transportation fraud hotline by handling intake of complaints and referrals and communicating with the public. Provide administrative, grand jury and courtroom testimony when required. Perform additional duties as assigned. Key abilities, skills and experience:   Interest in government and public integrity. Ability to organize and work on multiple projects, both independently and collaboratively. Excellent research skills and attention to detail. Excellent verbal and written communication skills. Interpersonal skills and ability to interact effectively with a team with diverse expertise. Ability to remain flexible and show initiative when completing assignments. Preferred abilities, skills and experience include: Relevant prior experience or undergraduate coursework. Experience working on investigations. Knowledge of fraud schemes or methodologies. Knowledge of state government, notably MassDOT and the MBTA. Experience working in an office setting. Experience with transportation or transit-related projects. Bilingual abilities. Salary: $61,000-$70,000 Other Position Information : Full time/Exempt Hybrid Work Schedule:  The Office of the Inspector General offers a hybrid work schedule. Under this policy, employees may request one of the following weekly hybrid schedules: 1) four days telework and one day onsite; 2) three days telework and two days onsite; 3) two days telework and three days onsite; or 4) one day telework and four days onsite. The onsite location is at OIG’s Boston office and employees may work remotely the remainder of the time at a location approved by their supervisor, so long as they comply with the requirements of the Hybrid Work policy. Employees will be assigned to their onsite workspace based on their approved schedule. The approved telework location must be located within Massachusetts or within an approximately two-hour driving or train commute distance. OIG does not reimburse employees for travel to the office. In addition, the successful candidate may be required to work primarily on site in Boston during the initial training and orientation period and/or for certain positions a primarily onsite role may be necessary. Benefits:   We value our employees and offer benefits that support their lives and well-being, while promoting an environment focused on inclusion, flexibility, professional growth, trust and respect. The Office therefore is pleased to offer a comprehensive benefits package for its employees. The specific components and eligibility may vary based upon position, hours worked per week and other variables. Consequently, specific benefits for this position may be discussed as part of the interview and offer process.  The overall benefits available include paid vacation; sick and personal leave time; health, dental and vision insurance through the Commonwealth’s Group Insurance Commission; and optional pre-tax health savings account plans. To view the details of the various plans and the cost split between employer and employee, go to the Group Insurance Commission website .   Employees also participate in the Commonwealth’s state retirement plan, which may become a defined benefit plan for those who both vest and subsequently retire from state service. For more information, visit the Massachusetts State Retirement Board website .  In addition, the Office provides employees the opportunity to elect life insurance, long-term disability insurance, deferred compensation savings, tuition remission and pre-tax commuter account plans, along with other programs.     This position may be eligible for the federal Public Service Loan Forgiveness (PSLF) program administered by the federal government.      How to Apply Submit cover letter and resume via email by May 1, 2026 to:   Sarah Hoover, Director of Human Resources & Recruitment Office of the Inspector General  IGO-employment@mass.gov  Diversity and Inclusion Statement   Diversity Officer: Sarah Hoover The Office of the Inspector General is an Equal Opportunity Employer committed to creating and supporting a diverse and inclusive work and educational community that is free of all forms of discrimination. The Office does not tolerate discrimination or harassment on the basis of age, color, disability, gender identity, genetic information, national origin, parental status, political affiliation, race, religion, sex, sexual orientation or veteran status.   The Office promotes access, inclusion and diversity for all staff, believing that these qualities are foundational components of an outstanding working environment and in keeping with its mission. The Office actively seeks to increase the diversity of its workforce and is interested in candidates whose experience and qualifications support an ongoing commitment to this core quality.  Investigator, IGO", "summaryDescription" : "Investigator, ISAU at Office of the Inspector General", "createdAt" : "2026-06-14T19:16:15.623", "lastUpdated" : "2026-06-15T22:51:55.098", "ingestTimestamp" : "2026-06-14T19:16:15.623", "mongoId" : "69d059fd2beec4dd3dbf3732", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 75000, "salaryAnnualMax" : 110000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "general", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.5555556, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cafe274d8ee00a09d81d4", "title" : "Senior All Source Investigator", "company" : "TRM Labs", "industry" : "R&D", "salary" : { "min" : 145000.0, "max" : 210000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Senior All Source Investigator in the United States, adjusted for the technology industry and remote work." }, "location" : "United States", "locations" : [ "United States" ], "timestamp" : "2026-06-15T07:24:32.913", "fingerprint" : "38f4e04a37881f997bc3307310ee5f73d0ed87b2c61cd168c91bca259ce55f4c", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/trm-labs/9dffa922-c2ea-4aca-a5ae-4eb3f22efbdf/application", "externalId" : "9dffa922-c2ea-4aca-a5ae-4eb3f22efbdf", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 8, "experienceLevel" : "Senior", "technicalSkills" : "AI", "professionalSkills" : [ "Targeting", "Intelligence analysis", "Attribution", "OSINT" ], "hardSkillsList" : [ "All-source investigation", "Legal process operationalization", "Data correlation", "Pattern analysis" ], "hardSkills" : [ { "name" : "All-source investigation", "level" : "intermediate" }, { "name" : "Legal process operationalization", "level" : "intermediate" }, { "name" : "Data correlation", "level" : "intermediate" }, { "name" : "Pattern analysis", "level" : "intermediate" } ], "majorSkills" : "All-source investigation, Legal process, Pattern analysis", "majorSkillsList" : [ "All-source investigation", "Legal process", "Pattern analysis" ], "coreResponsibilities" : "Run legal process end-to-end, Trace scam compounds geographically, Trace scam compounds operationally, Combine on-chain attribution, Combine off-chain telemetry, Combine OSINT, Combine commercially available data, Identify operators, Identify controllers, Identify movement patterns, Process returns at high volume, Feed victim data, Feed operator data, Find the seams, Pivot from victim, Uncover operation, Multiply leads, Partner with Threat Intelligence Analyst, Partner with All-Source Lead, Translate disruption strategy, Create targeting packages", "teamCollaboration" : "Partner with Threat Intelligence Analyst; Partner with All-Source Lead; Work with analysts; Work with engineers; Work with customers; Federal partners", "domainKnowledge" : "Pig butchering syndicates; Romance fraud networks; Investment scam operations; On-chain data; Off-chain data; Scam infrastructure; Threat networks; Blockchain Intelligence", "domainList" : [ "pig-butchering-syndicates", "romance-fraud-networks", "investment-scam-operations", "on-chain-data", "off-chain-data", "scam-infrastructure", "threat-networks", "blockchain-intelligence" ], "domainSpecificKnowledge" : [ "Pig butchering syndicates", "Romance fraud networks", "Investment scam operations", "On-chain data", "Off-chain data", "Scam infrastructure", "Threat networks", "Blockchain Intelligence" ], "communicationSkills" : "Written communication; Memos; Attribution write-ups; Federal-style leads", "documentationSkills" : "Documented in Notion", "problemSolvingSkills" : "Creative tactical thinking; Link and pattern analysis; Pivot from single point; Generate defensible target packages", "specialRequirements" : "US Citizenship required, Located in the US", "outcomesObjectives" : "Deliver actionable intelligence; Build operational pictures; Dismantle scam operations; Convert returns into intelligence; Influence federal investigations", "qualificationsBasic" : "5-8+ years investigative experience, Legal process expertise, Drafted and worked returns, Creative tactical thinking, Link and pattern analysis fluency, Written communication skills, AI fluency required, US Citizenship required, Located in the US", "qualificationsPreferred" : "Crypto experience is a plus", "remoteFriendly" : true, "rawDescription" : "BUILD A SAFER WORLD. TRM Labs provides AI-powered intelligence solutions that help public and private sector agencies investigate and disrupt crime. TRM's platforms enable investigators to trace illicit activity, build cases, and construct operating pictures of threat networks. Leading agencies and businesses worldwide rely on TRM to make the world safer and more secure. ABOUT THE ROLE The Scam Disruption team is TRM's tip of the spear against pig butchering syndicates, romance fraud networks, and investment scam operations that steal billions from victims each year. As an All-Source Investigator, you’ll lead targeting-driven investigative work: taking legal process to the ground, following the data wherever it leads, and delivering actionable intelligence to law enforcement partners. You will operate the \"intelligence flywheel\" daily — fusing on-chain and off-chain data to build operational pictures that help dismantle scam operations. THE IMPACT YOU WILL HAVE - Run legal process end-to-end against scam infrastructure and convert returns into targeting-ready intelligence for TRM’s teams and law enforcement partners - Trace scam compounds geographically and operationally — combining on-chain attribution with off-chain telemetry, OSINT, and commercially available data to identify operators, controllers, and movement patterns - Work the intelligence flywheel operationally — processing returns at high volume and feeding victim and operator data into TRM's intelligence and product pipelines - Find the seams — pivot from a single victim into uncovering the operation and multiplying leads - Partner with the Threat Intelligence Analyst (Scams Expert) and the All-Source Lead to translate disruption strategy into targeting packages that influence federal investigations WHAT WE'RE LOOKING FOR - 5-8+ years of all-source investigative or targeting experience — federal law enforcement (former 1811s — e.g., FBI, HSI, IRS-CI, Secret Service), Intelligence Community all-source analysis, or mission-aligned private sector equivalent - Legal process expertise — you have personally drafted and worked returns from US legal process and know how to operationalize the data - Creative tactical thinking — demonstrated ability to pivot from a single point to a network view, identifying operators behind operations - Link and pattern analysis fluency — ability to correlate disparate data sources to generate defensible target packages - Strong written communication — skilled at writing memos, attribution write-ups, and federal-style leads that are actionable - AI fluency (required) — you use AI tools in your workflow, synthesizing returns, drafting outputs, and accelerating analysis, with examples of how AI has impacted your work - Crypto experience is a plus, not a requirement — we teach on-chain tradecraft; we cannot teach the targeter's instinct - US Citizenship required - Must be located in the US ABOUT THE TEAM - The Scam Disruption team operates within TRM’s Blockchain Intelligence organization, alongside threat intelligence analysts, on-chain investigators, and federal partners - All-Source Investigators are the operational core, converting strategy and tooling into prosecutable, actionable intelligence - Distributed team with an async-first approach via Slack and Notion, plus structured syncs for alignment - High autonomy, high standards, low bureaucracy — work directly with analysts, engineers, and customers who depend on your output TEAM OPERATING RHYTHMS - Weekly team syncs to align targeting priorities and review disruption opportunities - Daily async standups via Slack on active work, returns, and target packages in flight - Primary time zone overlap: US Eastern / Central - All output documented in Notion and TRM’s investigative tools - Surge availability expected during time-sensitive disruption windows JOIN OUR MISSION We seek people whose work matters, who build with speed and rigor, and who take pride in protecting others through their craft. If you’re excited by TRM’s mission but don’t check every box, apply anyway. Build to protect civilization. Let’s do it together. LIFE AT TRM We are building a safer world. That promise shows up in how we work every day. TRM moves quickly. We are a high velocity, high ownership team that expects clarity, follow-through, and impact. People who thrive here are energized by hard problems, experimentation, and continuous feedback. If something takes months elsewhere, it will ship here in days. Our work sits at the intersection of AI, national security, and fighting crime. The problems are complex, the stakes are real, and the environment evolves quickly. The pace and intensity of the work reflect the importance of the mission. As a result, the way we operate requires a high level of ownership, adaptability, collaboration, and creative problem-solving. At TRM, you should expect: - Priorities and targets to change quickly as we experiment and iterate - Work that often requires operating with a high degree of ambiguity - A high level of personal ownership and accountability - Close collaboration across teams and functions - Frequent, high-touch communication - Creative problem solving and out-of-the-box thinking - A pace that rewards urgency, adaptability, and outcomes This environment is energizing for people who enjoy building, solving hard problems, and making progress in situations that are not always fully defined. It also requires comfort navigating ambiguity, adjusting course as new information emerges, and maintaining focus and positivity in a fast-moving and intense environment. We also recognize that this style of operating is not for everyone. If you are primarily optimizing for predictability or a consistently balanced workload, we encourage you to use the interview process to pressure test whether this environment is truly the right fit. We want teammates who thrive here, not just survive here. At the same time, many people find this work deeply rewarding. If you are excited by meaningful problems, motivated by ambitious goals, and energized by working alongside mission-driven colleagues, there is a good chance you will find TRM to be an exceptional place to grow and contribute. Learn more: Interviewing at TRM: How We Hire and What Success Looks Like https://www.trmlabs.com/resources/blog/interviewing-at-trm-how-we-hire-and-what-success-looks-like AI FLUENCY AT TRM AI fluency is a baseline expectation at TRM. We believe AI meaningfully changes how top performers operate. We expect every team member to use AI to accelerate and reimagine their craft, not just automate surface tasks. At TRM, AI fluency means you are among the top 10 percent of operators in your function in how you apply AI to: - Accelerate repeatable workflows - Structure and solve problems - Improve output quality - Increase speed and leverage You will be evaluated on applied AI fluency during the interview process. LEADERSHIP PRINCIPLES We hire and grow against three leadership principles. They’re the standards for how we operate, treat each other, and make decisions. - Impact-Oriented Trailblazer: We put customers first and move with speed, focus, and adaptability. We treat every plan like an experiment – test, ship, measure, and iterate quickly. - Master Craftsperson: We care deeply about our craft. We balance speed with high standards, own outcomes end‑to‑end, and invest in getting better everyday. - Inspiring Colleague: We add clarity and energy, not noise. We bring humility, candor, and a one‑team mindset — giving and receiving feedback to make the team stronger. JOIN OUR MISSION At TRM we care deeply about our craft. We are looking for individuals who want their work to matter, who experiment with speed and rigor, and who take pride in building a safer world for billions of people. If you’re excited by TRM’s mission but don’t check every box, we encourage you to apply — we hire for slope, judgment, and the will to learn fast. TRM is a Series C company with $220M in total funding, backed by Blockchain Capital, Goldman Sachs, Bessemer, Y Combinator, Thoma Bravo, and others. Headquartered in San Francisco, TRM operates as a distributed-first company with hubs in Los Angeles, San Francisco, New York, Washington D.C., London, and Singapore. PRIVACY POLICY AND ADDITIONAL INFORMATION By submitting your application, you agree to allow TRM Labs to process your personal information in accordance with our Privacy Policy https://www.trmlabs.com/policies/privacy-policy. We collect the information you provide (such as your resume, work history, and contact details) solely for the purpose of evaluating your candidacy for current and future roles at TRM. Because our hiring cycles for certain positions may span 24 to 36 months, we retain your personal information for up to 36 months from the date of your application. After that period, your data is deleted unless a different retention period is required or permitted by law. If you are located in the European Economic Area, the United Kingdom, or another jurisdiction with applicable data protection laws, you have the right to access, correct, or request deletion of your personal data at any time before that period ends. To exercise any of these rights, contact us at privacy@trmlabs.com. To notify TRM Labs that you believe this job posting is non-compliant, please submit a report through this form https://docs.google.com/forms/d/e/1FAIpQLSc6e8jRCl2cQwgIzXLpIGQXtwvMQh__TcokvO2toAAkT44A6Q/viewform?usp=dialog. No response will be provided to inquiries unrelated to job posting compliance. The use of AI tools of any kind (including but not limited to notetakers, interview assistants, and real-time coaching tools such as Otter.ai, Fireflies, Fathom, Cluey, or similar) during TRM interviews is not permitted without prior approval from TRM. TRM uses its own internal tools for note-taking to ensure a consistent and confidential experience for all candidates. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this form https://docs.google.com/forms/d/e/1FAIpQLSevmAzPxWOYm_7kMHb9lEJlX3tpdBeHvvvNWjsI_6xhUfnXjw/viewform?usp=dialog. RECRUITMENT AGENCIES TRM Labs does not accept unsolicited agency resumes. Please do not forward resumes to TRM employees. TRM Labs is not responsible for any fees related to unsolicited resumes and will not pay fees to any third-party agency or company without a signed agreement. LEARN MORE: COMPANY VALUES https://www.trmlabs.com/culture | INTERVIEWING https://www.trmlabs.com/interviewing | FAQS https://www.trmlabs.com/faq", "summaryDescription" : "Senior All Source Investigator at TRM Labs. Skills: All-source investigation, Legal process, Pattern analysis. Run legal process end-to-end. 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TRM Labs provides AI-powered intelligence solutions that help public and private sector agencies investigate and disrupt crime. TRM's platforms enable investigators to trace illicit activity, build cases, and construct operating pictures of threat networks. Leading agencies and businesses worldwide rely on TRM to make the world safer and more secure. The Scam Investigations team leads TRM's response against pig butchering syndicates, romance fraud networks, and investment scam operations that steal billions from victims each year. The team operates an integrated workflow — from AI-supported complaint triage to time-sensitive investigation, escalation, and recovery support for victims. The team runs a follow-the-sun rotation with investigators across NA, EMEA, and APAC for around-the-clock coverage. Distributed, async-first via Slack and Notion, with structured syncs for alignment. High autonomy, high standards, low bureaucracy. As a Global Investigator (EMEA), you will work at the recovery-focused layer of scam investigation. You will validate high-priority blockchain leads, conduct forward and backward tracing, assess whether funds touch regulated platforms or other actionable endpoints, and produce clear investigative documentation that supports time-sensitive escalation and victim-centered recovery outcomes. The Impact You Will Have: - Validate time-sensitive blockchain signals and move high-confidence matters through the appropriate escalation workflow - Trace victim funds end-to-end — forward to the wallets that consolidate them, backward to the platforms they came from - Own the recovery side. After a freeze, run the backtrace that ties frozen funds to specific victims - Support time-sensitive asset-preservation workflows with regulated platforms and ecosystem partners What We're Looking For: - 3–5 years of cryptocurrency investigations or asset-recovery experience - You understand how regulated platforms behave under request - Blockchain / cryptocurrency tracing (required, gating) — forward-then-backward trace, exchange attribution, co-mingling handling, multi-hop VASP tracing, and LIFO/FIFO backtrace for recovery work. Non-negotiable. - Experience producing investigative packages that can support formal legal, compliance, or enforcement workflows - Creative tactical thinking - AI fluency (required) - Strong written communication LIFE AT TRM We are building a safer world. That promise shows up in how we work every day. TRM moves quickly. We are a high velocity, high ownership team that expects clarity, follow-through, and impact. People who thrive here are energized by hard problems, experimentation, and continuous feedback. If something takes months elsewhere, it will ship here in days. Our work sits at the intersection of AI, national security, and fighting crime. The problems are complex, the stakes are real, and the environment evolves quickly. The pace and intensity of the work reflect the importance of the mission. As a result, the way we operate requires a high level of ownership, adaptability, collaboration, and creative problem-solving. At TRM, you should expect: - Priorities and targets to change quickly as we experiment and iterate - Work that often requires operating with a high degree of ambiguity - A high level of personal ownership and accountability - Close collaboration across teams and functions - Frequent, high-touch communication - Creative problem solving and out-of-the-box thinking - A pace that rewards urgency, adaptability, and outcomes This environment is energizing for people who enjoy building, solving hard problems, and making progress in situations that are not always fully defined. It also requires comfort navigating ambiguity, adjusting course as new information emerges, and maintaining focus and positivity in a fast-moving and intense environment. We also recognize that this style of operating is not for everyone. If you are primarily optimizing for predictability or a consistently balanced workload, we encourage you to use the interview process to pressure test whether this environment is truly the right fit. We want teammates who thrive here, not just survive here. At the same time, many people find this work deeply rewarding. If you are excited by meaningful problems, motivated by ambitious goals, and energized by working alongside mission-driven colleagues, there is a good chance you will find TRM to be an exceptional place to grow and contribute. Learn more: Interviewing at TRM: How We Hire and What Success Looks Like https://www.trmlabs.com/resources/blog/interviewing-at-trm-how-we-hire-and-what-success-looks-like AI FLUENCY AT TRM AI fluency is a baseline expectation at TRM. We believe AI meaningfully changes how top performers operate. We expect every team member to use AI to accelerate and reimagine their craft, not just automate surface tasks. At TRM, AI fluency means you are among the top 10 percent of operators in your function in how you apply AI to: - Accelerate repeatable workflows - Structure and solve problems - Improve output quality - Increase speed and leverage You will be evaluated on applied AI fluency during the interview process. LEADERSHIP PRINCIPLES We hire and grow against three leadership principles. They’re the standards for how we operate, treat each other, and make decisions. - Impact-Oriented Trailblazer: We put customers first and move with speed, focus, and adaptability. We treat every plan like an experiment – test, ship, measure, and iterate quickly. - Master Craftsperson: We care deeply about our craft. We balance speed with high standards, own outcomes end‑to‑end, and invest in getting better everyday. - Inspiring Colleague: We add clarity and energy, not noise. We bring humility, candor, and a one‑team mindset — giving and receiving feedback to make the team stronger. JOIN OUR MISSION At TRM we care deeply about our craft. We are looking for individuals who want their work to matter, who experiment with speed and rigor, and who take pride in building a safer world for billions of people. If you’re excited by TRM’s mission but don’t check every box, we encourage you to apply — we hire for slope, judgment, and the will to learn fast. TRM is a Series C company with $220M in total funding, backed by Blockchain Capital, Goldman Sachs, Bessemer, Y Combinator, Thoma Bravo, and others. Headquartered in San Francisco, TRM operates as a distributed-first company with hubs in Los Angeles, San Francisco, New York, Washington D.C., London, and Singapore. PRIVACY POLICY AND ADDITIONAL INFORMATION By submitting your application, you agree to allow TRM Labs to process your personal information in accordance with our Privacy Policy https://www.trmlabs.com/policies/privacy-policy. We collect the information you provide (such as your resume, work history, and contact details) solely for the purpose of evaluating your candidacy for current and future roles at TRM. Because our hiring cycles for certain positions may span 24 to 36 months, we retain your personal information for up to 36 months from the date of your application. After that period, your data is deleted unless a different retention period is required or permitted by law. If you are located in the European Economic Area, the United Kingdom, or another jurisdiction with applicable data protection laws, you have the right to access, correct, or request deletion of your personal data at any time before that period ends. To exercise any of these rights, contact us at privacy@trmlabs.com. To notify TRM Labs that you believe this job posting is non-compliant, please submit a report through this form https://docs.google.com/forms/d/e/1FAIpQLSc6e8jRCl2cQwgIzXLpIGQXtwvMQh__TcokvO2toAAkT44A6Q/viewform?usp=dialog. No response will be provided to inquiries unrelated to job posting compliance. The use of AI tools of any kind (including but not limited to notetakers, interview assistants, and real-time coaching tools such as Otter.ai, Fireflies, Fathom, Cluey, or similar) during TRM interviews is not permitted without prior approval from TRM. TRM uses its own internal tools for note-taking to ensure a consistent and confidential experience for all candidates. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this form https://docs.google.com/forms/d/e/1FAIpQLSevmAzPxWOYm_7kMHb9lEJlX3tpdBeHvvvNWjsI_6xhUfnXjw/viewform?usp=dialog. RECRUITMENT AGENCIES TRM Labs does not accept unsolicited agency resumes. Please do not forward resumes to TRM employees. TRM Labs is not responsible for any fees related to unsolicited resumes and will not pay fees to any third-party agency or company without a signed agreement. LEARN MORE: COMPANY VALUES https://www.trmlabs.com/culture | INTERVIEWING https://www.trmlabs.com/interviewing | FAQS https://www.trmlabs.com/faq", "summaryDescription" : "Global Investigator - EMEA at TRM Labs. Skills: Scam investigation, Blockchain analysis, Asset recovery. Validate blockchain leads. 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"6a305efff292fd229cf76f81", "title" : "Senior Plasma Data Scientist", "company" : "Helion", "industry" : "Science", "salary" : { "min" : 210000.0, "max" : 250000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "Everett, WA", "locations" : [ "Everett, WA" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T09:46:18.888", "fingerprint" : "65be02df7b549604e69723185bc95406f5c707f9e9339cb8656f3c71d517ba2c", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/helion/8ba990f2-6221-4834-8f50-75a237fe614a/application", "externalId" : "8ba990f2-6221-4834-8f50-75a237fe614a", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Everett", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.9793437,-122.2127011" } ], "locationText" : "Everett, Washington, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Tableau, Power BI, Looker, Metabase, Superset, Qlik, MicroStrategy, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure, S3, Glue, SageMaker, Athena, Vertex AI, Synapse, ML Studio", "professionalSkills" : [ "Data engineering", "ML engineering", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Statistical modeling", "Machine learning", "AI development" ], "hardSkillsList" : [ "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Statistical methods", "level" : "intermediate" }, { "name" : "ML 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"BigQuery", "Redshift", "Databricks", "Fivetran", "Airflow", "Dbt Cloud", "Delta Lake", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow", "AWS", "GCP", "Azure", "SageMaker", "Vertex AI", "Synapse", "ML Studio" ], "qualificationsBasic" : "5+ years of experience in data science, Proficiency in SQL, Bachelor's degree in Computer Science, Statistics, Mathematics, or related field", "qualificationsPreferred" : "PhD preferred, Experience with cloud platforms (AWS, GCP, Azure), Experience with ML frameworks (scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM), Experience with BI platforms (Tableau, Power BI, Looker), Experience with data engineering tools (dbt, Fivetran, Airflow), Experience with Databricks, Experience with Snowflake, Experience with BigQuery, Experience with Redshift, Experience with Delta Lake, Experience with SageMaker, Experience with Vertex AI, Experience with MLflow, Experience with Hugging Face, Experience with cloud data services (AWS S3, Glue, Athena, GCP BigQuery, Azure Synapse, ML Studio), GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About Helion We are a fusion power company based in Everett, WA, with the mission to build the world's first fusion power plant, enabling a future with unlimited clean electricity. Our vision is a world with clean, reliable, and affordable energy for everyone. Since Helion's founding in 2013, we have raised over $1 billion from long-time investors such as Sam Altman, Mithril, and Capricorn Investment Group as well as new investors SoftBank and Lightspeed to propel us forward. Our last prototype, Trenta, completed 10,000 high-power pulses and reached plasma temperatures of 100 million degrees Celsius (9 keV). We are now operating Polaris, our next prototype on the path to the world's first fusion power plant. This is a pivotal time to join Helion. You will tackle real-world challenges with a team that prizes urgency, rigor, ownership, and a commitment to delivering hard truths – values essential to achieving what no one has before. Together, we will change the future of energy, because the world can't wait. What You Will Be Doing: Helion is hiring a Senior Plasma Data Scientist specializing in synthetic diagnostics to improve how we measure, interpret, and model FRC plasma behavior. In this role, you will develop and validate synthetic diagnostic models that connect experimental diagnostic signals with simulation outputs, helping improve diagnostic accuracy and plasma performance interpretation. In your first year, you will focus on integrating these models with experimental and simulation data pipelines to support faster, more reliable experimental analysis. This position reports to the Experimental Science Manager at our Everett, WA office and plays a key role in advancing Helion’s path toward fusion electricity. You Will: - Develop and validate machine‑learning frameworks for FRC plasma‑dynamics, leveraging physics‑grounded ML approaches (e.g., differentiable physics, PINNs, surrogate modeling, or hybrid physics+ML systems) - Integrate ML models with existing simulation tools and experimental‑diagnostic pipelines to enable hybrid physics + data‑driven validation workflows - Reproduce experimental plasma conditions within ML modeling workflows to support interpretation of magnetic diffusion, circuit response, and diagnostic measurements - Generate analysis scripts for post‑processing, parsing model outputs, and visualizing correlations between ML‑based predictions and experimental results - Collaborate with plasma‑physics, pulsed‑power, and transient‑magnetics experts to expand the fidelity and fusion‑relevance of ML‑enabled modeling frameworks - Communicate results with rigor and clarity through reports, presentations, and technical visualizations for research stakeholders Required Skills: - PhD in Physics, Engineering, Applied Math, Computational Science, Machine Learning, or related field with emphasis on physics‑grounded modeling - 3+ years of industry or research‑lab experience applying machine learning in experimental, simulation‑driven, or scientific R&D environments - Expertise with physics‑informed or physics‑constrained ML methods, such as differentiable physics, PINNs, scientific ML, surrogate modeling, or reduced‑order models for complex physical systems - Experience integrating ML models with scientific‑computing workflows, simulation tools, or experimental diagnostics - Proficiency scripting for data parsing, model analysis, and visualization (MATLAB, Python, or similar; Fortran or HPC exposure valuable) - Familiarity with magnetic diffusion, circuit coupling, or plasma‑dynamics modeling in pulsed‑power or electromagnetics systems Benefits Our total compensation package includes benefits, including but not limited to: • Medical, Dental, and Vision plans for employees and their families • 31 Days of PTO (21 vacation days and 10 sick days) • 10 Paid holidays, plus company-wide winter break • Up to 5% employer 401(k) match • Short term disability, long term disability, and life insurance • Paid parental leave and support (up to 16 weeks) • Annual wellness stipend Helion is an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need assistance or an accommodation during the interview process, please let us know.", "summaryDescription" : "Senior Plasma Data Scientist at Helion. Skills: Data science, Data engineering, ML/AI, Business intelligence, Analytics engineering, Quantitative analysis", "createdAt" : "2026-06-16T00:28:14.895", "lastUpdated" : "2026-06-16T09:46:18.888", "ingestTimestamp" : "2026-06-16T00:28:14.895", "mongoId" : "6a305efff292fd229cf76f81", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 210000, "salaryAnnualMax" : 250000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference", "Data science", "Data engineering", "ML/AI", "Business intelligence", "Analytics engineering", "Quantitative analysis", "ML engineering", "Statistical modeling", "Machine learning", "AI development", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "SQL", "Python", "R", "Scala", "Spark", "Dbt", "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy", "Snowflake", "BigQuery", "Redshift", "Databricks", "Fivetran", "Airflow", "Dbt Cloud", "Delta Lake", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow", "AWS", "GCP", "Azure", "SageMaker", "Vertex AI", "Synapse", "ML Studio" ], "skillCount" : 60, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Climate Tech", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2cafe274d8ee00a09d81cb", "title" : "Global Investigator - APAC", "company" : "TRM Labs", "industry" : "GTM", "location" : "APAC", "locations" : [ "APAC", "Thailand" ], "timestamp" : "2026-06-15T14:15:58.690", "fingerprint" : "7cf44b2f71bb5b4bc7e41904c64cb58ddec9c1fdc4d38e0c4a4327f94a221fa6", "source" : "ashby", "applyUrl" : "https://jobs.ashbyhq.com/trm-labs/2e45c7a8-c7da-4b55-bfca-6e2a603fb726/application", "externalId" : "2e45c7a8-c7da-4b55-bfca-6e2a603fb726", "industryFunction" : { }, "structuredLocations" : [ { "continent" : "as", "workMode" : "onsite" } ], "locationText" : "", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Junior", "technicalSkills" : "blockchain, cryptocurrency", "professionalSkills" : [ "cryptocurrency investigations or asset-recovery experience — law enforcement crypto units, blockchain analytics firms, exchange compliance investigations, or equivalent. You understand how regulated platforms behave under request, including the difference between voluntary cooperation and formal process, and you treat getting money back to victims as part of your job rather than a downstream handoff." ], "hardSkillsList" : [ "blockchain / cryptocurrency tracing", "AI fluency" ], "softSkillsList" : [ "adaptability, collaboration, creative problem-solving, ownership, candor, humility" ], "hardSkills" : [ { "name" : "blockchain / cryptocurrency tracing", "level" : "intermediate" }, { "name" : "AI fluency", "level" : "intermediate" } ], "softSkills" : [ { "name" : "adaptability, collaboration, creative problem-solving, ownership, candor, humility" } ], "majorSkills" : "blockchain tracing, asset recovery, investigative documentation, AI fluency", "majorSkillsList" : [ "blockchain tracing, asset recovery, investigative documentation, AI fluency" ], "coreResponsibilities" : "Validate high-priority blockchain leads, conduct forward and backward tracing, assess whether funds touch regulated platforms or other actionable endpoints, and produce clear investigative documentation that supports time-sensitive escalation and victim-centered recovery outcomes.", "teamCollaboration" : "High autonomy, high standards, low bureaucracy — work directly with engineering, analysts, legal counterparts, and partners who depend on the team’s output.", "toolProficiency" : [ "Slack, Notion" ], "communicationSkills" : "frequent, high-touch communication", "documentationSkills" : "investigative documentation; produce clear investigative documentation", "continuousLearning" : "Continuously learn new issues in crypto.", "innovationCreativity" : "Creative problem solving and out-of-the-box thinking.", "problemSolvingSkills" : "creative tactical thinking; assess whether funds touch regulated platforms; figure out the first move", "specialRequirements" : "Follow-the-sun rotation — the team runs investigators across NA, EMEA, and APAC for around-the-clock coverage. Distributed, async-first via Slack and Notion, with structured syncs for alignment. Surge availability expected during time-sensitive disruption windows.", "outcomesObjectives" : "Victim recovery is the goal.", "qualificationsBasic" : "3–5 years of cryptocurrency investigations or asset-recovery experience. Experience producing investigative packages that can support formal legal, compliance, or enforcement workflows. Creative tactical thinking — demonstrated ability to pivot from a single point to a network view, identifying operators behind operations.", "remoteFriendly" : true, "rawDescription" : "BUILD A SAFER WORLD. TRM Labs provides AI-powered intelligence solutions that help public and private sector agencies investigate and disrupt crime. TRM's platforms enable investigators to trace illicit activity, build cases, and construct operating pictures of threat networks. Leading agencies and businesses worldwide rely on TRM to make the world safer and more secure. The Scam Investigations team is TRM’s tip of the spear against pig butchering syndicates, romance fraud networks, and investment scam operations that steal billions from victims each year. The team operates an integrated workflow — from AI-supported complaint triage to time-sensitive investigation, escalation, and recovery support for victims. As a Global Investigator, you will work at the recovery-focused layer of scam investigation. You will validate high-priority blockchain leads, conduct forward and backward tracing, assess whether funds touch regulated platforms or other actionable endpoints, and produce clear investigative documentation that supports time-sensitive escalation and victim-centered recovery outcomes. The impact you will have here: - Validate time-sensitive blockchain signals and move high-confidence matters through the appropriate escalation workflow. Speed and accuracy both matter. - Trace victim funds end-to-end — forward to the wallets that consolidate them, backward to the platforms they came from. Your work feeds directly into the legal packages that recover them. - Own the recovery side. After a freeze, run the backtrace that ties frozen funds to specific victims and produce the documentation that drives restitution. The freeze is the start. Victim recovery is the goal. - Support time-sensitive asset-preservation workflows with regulated platforms and ecosystem partners. What we’re looking for: - 3–5 years of cryptocurrency investigations or asset-recovery experience — law enforcement crypto units, blockchain analytics firms, exchange compliance investigations, or equivalent. You understand how regulated platforms behave under request, including the difference between voluntary cooperation and formal process, and you treat getting money back to victims as part of your job rather than a downstream handoff. - You don’t need a checklist to start. Handed something you’ve never seen, you figure out the first move and take it. When the playbook stops, you keep going. - You think in outcomes, not lanes. If “that’s not what I was hired for” is a sentence you reach for, this isn’t the seat. - Experience producing investigative packages that can support formal legal, compliance, or enforcement workflows. - Creative tactical thinking — demonstrated ability to pivot from a single point to a network view, identifying operators behind operations. - Blockchain / cryptocurrency tracing (required, gating) — forward-then-backward trace, exchange attribution, co-mingling handling, multi-hop VASP tracing, and LIFO/FIFO backtrace for recovery work. Non-negotiable. - AI fluency (required) — you use AI tools in your workflow to synthesize returns, draft outputs, and accelerate analysis, with examples of how AI has impacted your work. About the team: - Follow-the-sun rotation — the team runs investigators across NA, EMEA, and APAC for around-the-clock coverage. - Distributed, async-first via Slack and Notion, with structured syncs for alignment. - High autonomy, high standards, low bureaucracy — work directly with engineering, analysts, legal counterparts, and partners who depend on the team’s output. Team operating rhythms: - Daily monitoring shift - Daily shift handoff call - Weekly team syncs - All output documented in Notion and TRM’s investigative tools - Surge availability expected during time-sensitive disruption windows Learn about TRM Speed in this position: - React timely to the movement of funds during an ongoing investigation. - Support other teams on time sensitive issues that might be unforeseen. - Continuously learn new issues in crypto. LIFE AT TRM We are building a safer world. That promise shows up in how we work every day. TRM moves quickly. We are a high velocity, high ownership team that expects clarity, follow-through, and impact. People who thrive here are energized by hard problems, experimentation, and continuous feedback. If something takes months elsewhere, it will ship here in days. Our work sits at the intersection of AI, national security, and fighting crime. The problems are complex, the stakes are real, and the environment evolves quickly. The pace and intensity of the work reflect the importance of the mission. As a result, the way we operate requires a high level of ownership, adaptability, collaboration, and creative problem-solving. At TRM, you should expect: - Priorities and targets to change quickly as we experiment and iterate - Work that often requires operating with a high degree of ambiguity - A high level of personal ownership and accountability - Close collaboration across teams and functions - Frequent, high-touch communication - Creative problem solving and out-of-the-box thinking - A pace that rewards urgency, adaptability, and outcomes This environment is energizing for people who enjoy building, solving hard problems, and making progress in situations that are not always fully defined. It also requires comfort navigating ambiguity, adjusting course as new information emerges, and maintaining focus and positivity in a fast-moving and intense environment. We also recognize that this style of operating is not for everyone. If you are primarily optimizing for predictability or a consistently balanced workload, we encourage you to use the interview process to pressure test whether this environment is truly the right fit. We want teammates who thrive here, not just survive here. At the same time, many people find this work deeply rewarding. If you are excited by meaningful problems, motivated by ambitious goals, and energized by working alongside mission-driven colleagues, there is a good chance you will find TRM to be an exceptional place to grow and contribute. Learn more: Interviewing at TRM: How We Hire and What Success Looks Like https://www.trmlabs.com/resources/blog/interviewing-at-trm-how-we-hire-and-what-success-looks-like AI FLUENCY AT TRM AI fluency is a baseline expectation at TRM. We believe AI meaningfully changes how top performers operate. We expect every team member to use AI to accelerate and reimagine their craft, not just automate surface tasks. At TRM, AI fluency means you are among the top 10 percent of operators in your function in how you apply AI to: - Accelerate repeatable workflows - Structure and solve problems - Improve output quality - Increase speed and leverage You will be evaluated on applied AI fluency during the interview process. LEADERSHIP PRINCIPLES We hire and grow against three leadership principles. They’re the standards for how we operate, treat each other, and make decisions. - Impact-Oriented Trailblazer: We put customers first and move with speed, focus, and adaptability. We treat every plan like an experiment – test, ship, measure, and iterate quickly. - Master Craftsperson: We care deeply about our craft. We balance speed with high standards, own outcomes end‑to‑end, and invest in getting better everyday. - Inspiring Colleague: We add clarity and energy, not noise. We bring humility, candor, and a one‑team mindset — giving and receiving feedback to make the team stronger. JOIN OUR MISSION At TRM we care deeply about our craft. We are looking for individuals who want their work to matter, who experiment with speed and rigor, and who take pride in building a safer world for billions of people. If you’re excited by TRM’s mission but don’t check every box, we encourage you to apply — we hire for slope, judgment, and the will to learn fast. TRM is a Series C company with $220M in total funding, backed by Blockchain Capital, Goldman Sachs, Bessemer, Y Combinator, Thoma Bravo, and others. Headquartered in San Francisco, TRM operates as a distributed-first company with hubs in Los Angeles, San Francisco, New York, Washington D.C., London, and Singapore. PRIVACY POLICY AND ADDITIONAL INFORMATION By submitting your application, you agree to allow TRM Labs to process your personal information in accordance with our Privacy Policy https://www.trmlabs.com/policies/privacy-policy. We collect the information you provide (such as your resume, work history, and contact details) solely for the purpose of evaluating your candidacy for current and future roles at TRM. Because our hiring cycles for certain positions may span 24 to 36 months, we retain your personal information for up to 36 months from the date of your application. After that period, your data is deleted unless a different retention period is required or permitted by law. If you are located in the European Economic Area, the United Kingdom, or another jurisdiction with applicable data protection laws, you have the right to access, correct, or request deletion of your personal data at any time before that period ends. To exercise any of these rights, contact us at privacy@trmlabs.com. To notify TRM Labs that you believe this job posting is non-compliant, please submit a report through this form https://docs.google.com/forms/d/e/1FAIpQLSc6e8jRCl2cQwgIzXLpIGQXtwvMQh__TcokvO2toAAkT44A6Q/viewform?usp=dialog. No response will be provided to inquiries unrelated to job posting compliance. The use of AI tools of any kind (including but not limited to notetakers, interview assistants, and real-time coaching tools such as Otter.ai, Fireflies, Fathom, Cluey, or similar) during TRM interviews is not permitted without prior approval from TRM. TRM uses its own internal tools for note-taking to ensure a consistent and confidential experience for all candidates. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this form https://docs.google.com/forms/d/e/1FAIpQLSevmAzPxWOYm_7kMHb9lEJlX3tpdBeHvvvNWjsI_6xhUfnXjw/viewform?usp=dialog. RECRUITMENT AGENCIES TRM Labs does not accept unsolicited agency resumes. Please do not forward resumes to TRM employees. TRM Labs is not responsible for any fees related to unsolicited resumes and will not pay fees to any third-party agency or company without a signed agreement. LEARN MORE: COMPANY VALUES https://www.trmlabs.com/culture | INTERVIEWING https://www.trmlabs.com/interviewing | FAQS https://www.trmlabs.com/faq", "summaryDescription" : "Global Investigator - APAC at TRM Labs. Skills: blockchain tracing, asset recovery, investigative documentation, AI fluency. Validate high-priority blockchain leads, conduct forward and backward tracing, assess whether funds touch regulated platforms or other actionable endpoints, and produce clear investigative documentation that supports time-sensitive escalation and victim-centered recovery outcomes.", "createdAt" : "2026-06-14T21:41:54.449", "lastUpdated" : "2026-06-15T14:15:58.690", "ingestTimestamp" : "2026-06-14T21:41:54.449", "mongoId" : "6a2cafe274d8ee00a09d81cb", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "hasSalary" : false, "allSkills" : [ "blockchain / cryptocurrency tracing", "AI fluency", "adaptability, collaboration, creative problem-solving, ownership, candor, humility", "blockchain tracing, asset recovery, investigative documentation, AI fluency", "cryptocurrency investigations or asset-recovery experience — law enforcement crypto units, blockchain analytics firms, exchange compliance investigations, or equivalent. You understand how regulated platforms behave under request, including the difference between voluntary cooperation and formal process, and you treat getting money back to victims as part of your job rather than a downstream handoff.", "Slack, Notion" ], "skillCount" : 6, "jobCategory" : "operations", "jobSubcategory" : "legal", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cafe274d8ee00a09d81d2", "title" : "Global Investigator", "company" : "TRM Labs", "industry" : "GTM", "salary" : { "min" : 125000.0, "max" : 175000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Global Investigator in Washington, United States, adjusted for the technology industry and company size." }, "location" : "Washington DC", "locations" : [ "Washington DC", "United States" ], "certifications" : [ "Public Trust clearance" ], "timestamp" : "2026-06-15T12:53:00.333", "fingerprint" : "74f178a4605e50e4afd3469c108eb8454425fbccf499dd14a74fa90be29640bc", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/trm-labs/280107d6-7c1b-4482-bddd-6d3a3d41aa24/application", "externalId" : "280107d6-7c1b-4482-bddd-6d3a3d41aa24", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Washington", "state" : "District of Columbia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "38.8950982,-77.0363849" } ], "locationText" : "Washington, District of Columbia, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "AI", "professionalSkills" : [ "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Operational metrics", "Resource planning", "Continuous improvement" ], "hardSkillsList" : [ "Financial crime investigation", "Complaint triage", "Alert dispositioning", "Investigative judgment" ], "hardSkills" : [ { "name" : "Financial crime investigation", "level" : "intermediate" }, { "name" : "Complaint triage", "level" : "intermediate" }, { "name" : "Alert dispositioning", "level" : "intermediate" }, { "name" : "Investigative judgment", "level" : "intermediate" } ], "majorSkills" : "AI-supported investigation, Complaint review, Case dispositioning", "majorSkillsList" : [ "AI-supported investigation", "Complaint review", "Case dispositioning" ], "coreResponsibilities" : "Review crypto-scam complaints, Review related artifacts, Validate proposed dispositions, Override proposed dispositions, Route matters to downstream workflow, Hold disposition call on every case, Validate disposition to fire handoff, Clear daily queue, Override AI model, Catch model errors, Flag patterns across clusters, Surface model errors to engineering, React timely to fund movement, Support other teams on time sensitive issues, Continuously learn new issues in crypto", "teamCollaboration" : "Cross-functional coordination; Vendor/stakeholder management; Work with engineers; Work with analysts; Work with legal counterparts; Work with customers", "domainKnowledge" : "Financial crime; Pig butchering syndicates; Romance fraud networks; Investment scam operations; Crypto-scam; Complaint data literacy; Cryptolockchain literacy; On-chain analysis", "domainList" : [ "financial-crime", "pig-butchering-syndicates", "romance-fraud-networks", "investment-scam-operations", "crypto-scam", "complaint-data-literacy", "cryptolockchain-literacy", "on-chain-analysis" ], "domainSpecificKnowledge" : [ "Financial crime", "Pig butchering syndicates", "Romance fraud networks", "Investment scam operations", "Crypto-scam", "Complaint data literacy", "Cryptolockchain literacy", "On-chain analysis" ], "toolProficiency" : [ "AI tools" ], "communicationSkills" : "Written communication", "continuousLearning" : "Continuous learning", "problemSolvingSkills" : "Investigative judgment", "specialRequirements" : "NA-batch shift availability, US Citizenship", "outcomesObjectives" : "Turn AI leads into actionable outcomes; Clear the daily queue", "qualificationsBasic" : "3–5 years experience triaging financial-crime complaints, 3–5 years dispositioning alerts, AI fluency required, US Citizenship required, Ability to obtain Public Trust clearance", "qualificationsPreferred" : "Cryptolockchain literacy at a read-and-triage level", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "BUILD A SAFER WORLD. TRM Labs provides AI-powered intelligence solutions that help public and private sector agencies investigate and disrupt crime. TRM's platforms enable investigators to trace illicit activity, build cases, and construct operating pictures of threat networks. Leading agencies and businesses worldwide rely on TRM to make the world safer and more secure. The Scam Investigations team is TRM’s tip of the spear against pig butchering syndicates, romance fraud networks, and investment scam operations that steal billions from victims each year. The team operates an integrated workflow — from AI-supported complaint triage to time-sensitive investigation, escalation, and recovery support for victims. As a Global Investigator, you are the human judgment layer that turns AI-supported leads into actionable investigative outcomes. You review crypto-scam complaints and related artifacts at scale, validate or override proposed dispositions, and route matters to the appropriate downstream workflow. The impact you will have here: - Hold the disposition call on every case in your queue. Your validated disposition fires the automated handoff downstream. Clearing the daily queue is the core operational rhythm of the role. - Be the human override on AI. When the model is wrong, you catch it. Your override pattern teaches engineering where the confidence schema and auto-cluster logic need to improve. - Flag patterns, not just cases. When the same model error shows up across multiple clusters, surface it. What we’re looking for: - 3–5 years of experience triaging financial-crime complaints or dispositioning alerts in a high-volume environment — for example, a bank or VASP financial intelligence unit, a cyber-fraud complaint or task-force program, a cryptocurrency exchange’s compliance or investigations team, or a comparable mission. You have personally decided how individual cases get routed and owned the quality of those calls. You can walk us through a specific override — what the system said, what you decided instead, and why — and articulate, without a checklist, the difference between a good lead and noise worth ignoring. - AI fluency (required) — AI tools are core to your workflow. You can show specific ways AI has changed how you triage, draft, and pivot. AI fluency is evaluated during the interview process. - Complaint-data literacy — you know what separates a useful complaint from a noisy one in a high-volume feed, and you can read victim narratives — including screenshots, forwarded chat logs, and ragged copy-paste — without losing the thread of what actually happened. - Crypto/blockchain literacy at a read-and-triage level — You can recognize crypto artifacts, interpret crypto-related complaints, and know when a case is ready for asset-recovery review. You do not need to be a tracing expert. We can teach on-chain tradecraft; we cannot teach investigative judgment. - Strong written communication — your override rationale and pattern-level feedback need to be useful to engineering, the Manager, and downstream investigators. - US Citizenship required - NA-batch shift availability (location: anywhere in the US; one of two seats based in the Washington, D.C. / MD / VA area, hybrid) - Ability to obtain Public Trust clearance About the team: - Distributed, async-first via Slack and Notion, with structured syncs for alignment. Primary time-zone overlap: US Eastern / Central. - High autonomy, high standards, low bureaucracy — work directly with engineers, analysts, legal counterparts, and customers who depend on the team’s output. Team operating rhythms: - Daily action-queue clear and async standups via Slack on active work - Weekly team sync with the Investigations Manager - Regular engineering feedback sessions — you bring the week’s override patterns - All output documented in Notion and TRM’s investigative tools Learn about TRM Speed in this position: - React timely to the movement of funds during an ongoing investigation. - Support other teams on time sensitive issues that might be unforeseen. - Continuously learn new issues in crypto. LIFE AT TRM We are building a safer world. That promise shows up in how we work every day. TRM moves quickly. We are a high velocity, high ownership team that expects clarity, follow-through, and impact. People who thrive here are energized by hard problems, experimentation, and continuous feedback. If something takes months elsewhere, it will ship here in days. Our work sits at the intersection of AI, national security, and fighting crime. The problems are complex, the stakes are real, and the environment evolves quickly. The pace and intensity of the work reflect the importance of the mission. As a result, the way we operate requires a high level of ownership, adaptability, collaboration, and creative problem-solving. At TRM, you should expect: - Priorities and targets to change quickly as we experiment and iterate - Work that often requires operating with a high degree of ambiguity - A high level of personal ownership and accountability - Close collaboration across teams and functions - Frequent, high-touch communication - Creative problem solving and out-of-the-box thinking - A pace that rewards urgency, adaptability, and outcomes This environment is energizing for people who enjoy building, solving hard problems, and making progress in situations that are not always fully defined. It also requires comfort navigating ambiguity, adjusting course as new information emerges, and maintaining focus and positivity in a fast-moving and intense environment. We also recognize that this style of operating is not for everyone. If you are primarily optimizing for predictability or a consistently balanced workload, we encourage you to use the interview process to pressure test whether this environment is truly the right fit. We want teammates who thrive here, not just survive here. At the same time, many people find this work deeply rewarding. If you are excited by meaningful problems, motivated by ambitious goals, and energized by working alongside mission-driven colleagues, there is a good chance you will find TRM to be an exceptional place to grow and contribute. Learn more: Interviewing at TRM: How We Hire and What Success Looks Like https://www.trmlabs.com/resources/blog/interviewing-at-trm-how-we-hire-and-what-success-looks-like AI FLUENCY AT TRM AI fluency is a baseline expectation at TRM. We believe AI meaningfully changes how top performers operate. We expect every team member to use AI to accelerate and reimagine their craft, not just automate surface tasks. At TRM, AI fluency means you are among the top 10 percent of operators in your function in how you apply AI to: - Accelerate repeatable workflows - Structure and solve problems - Improve output quality - Increase speed and leverage You will be evaluated on applied AI fluency during the interview process. LEADERSHIP PRINCIPLES We hire and grow against three leadership principles. They’re the standards for how we operate, treat each other, and make decisions. - Impact-Oriented Trailblazer: We put customers first and move with speed, focus, and adaptability. We treat every plan like an experiment – test, ship, measure, and iterate quickly. - Master Craftsperson: We care deeply about our craft. We balance speed with high standards, own outcomes end‑to‑end, and invest in getting better everyday. - Inspiring Colleague: We add clarity and energy, not noise. We bring humility, candor, and a one‑team mindset — giving and receiving feedback to make the team stronger. JOIN OUR MISSION At TRM we care deeply about our craft. We are looking for individuals who want their work to matter, who experiment with speed and rigor, and who take pride in building a safer world for billions of people. If you’re excited by TRM’s mission but don’t check every box, we encourage you to apply — we hire for slope, judgment, and the will to learn fast. TRM is a Series C company with $220M in total funding, backed by Blockchain Capital, Goldman Sachs, Bessemer, Y Combinator, Thoma Bravo, and others. Headquartered in San Francisco, TRM operates as a distributed-first company with hubs in Los Angeles, San Francisco, New York, Washington D.C., London, and Singapore. PRIVACY POLICY AND ADDITIONAL INFORMATION By submitting your application, you agree to allow TRM Labs to process your personal information in accordance with our Privacy Policy https://www.trmlabs.com/policies/privacy-policy. We collect the information you provide (such as your resume, work history, and contact details) solely for the purpose of evaluating your candidacy for current and future roles at TRM. Because our hiring cycles for certain positions may span 24 to 36 months, we retain your personal information for up to 36 months from the date of your application. After that period, your data is deleted unless a different retention period is required or permitted by law. If you are located in the European Economic Area, the United Kingdom, or another jurisdiction with applicable data protection laws, you have the right to access, correct, or request deletion of your personal data at any time before that period ends. To exercise any of these rights, contact us at privacy@trmlabs.com. To notify TRM Labs that you believe this job posting is non-compliant, please submit a report through this form https://docs.google.com/forms/d/e/1FAIpQLSc6e8jRCl2cQwgIzXLpIGQXtwvMQh__TcokvO2toAAkT44A6Q/viewform?usp=dialog. No response will be provided to inquiries unrelated to job posting compliance. The use of AI tools of any kind (including but not limited to notetakers, interview assistants, and real-time coaching tools such as Otter.ai, Fireflies, Fathom, Cluey, or similar) during TRM interviews is not permitted without prior approval from TRM. TRM uses its own internal tools for note-taking to ensure a consistent and confidential experience for all candidates. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this form https://docs.google.com/forms/d/e/1FAIpQLSevmAzPxWOYm_7kMHb9lEJlX3tpdBeHvvvNWjsI_6xhUfnXjw/viewform?usp=dialog. RECRUITMENT AGENCIES TRM Labs does not accept unsolicited agency resumes. Please do not forward resumes to TRM employees. TRM Labs is not responsible for any fees related to unsolicited resumes and will not pay fees to any third-party agency or company without a signed agreement. LEARN MORE: COMPANY VALUES https://www.trmlabs.com/culture | INTERVIEWING https://www.trmlabs.com/interviewing | FAQS https://www.trmlabs.com/faq", "summaryDescription" : "Global Investigator at TRM Labs. Skills: AI-supported investigation, Complaint review, Case dispositioning. Review crypto-scam complaints. Review related artifacts", "createdAt" : "2026-06-13T23:19:36.431", "lastUpdated" : "2026-06-15T12:53:00.333", "ingestTimestamp" : "2026-06-13T23:19:36.431", "mongoId" : "6a2cafe274d8ee00a09d81d2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 125000, "salaryAnnualMax" : 175000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Financial crime investigation", "Complaint triage", "Alert dispositioning", "Investigative judgment", "AI-supported investigation", "Complaint review", "Case dispositioning", "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Operational metrics", "Resource planning", "Continuous improvement", "Financial crime", "Pig butchering syndicates", "Romance fraud networks", "Investment scam operations", "Crypto-scam", "Complaint data literacy", "Cryptolockchain literacy", "On-chain analysis", "Public Trust clearance", "AI tools" ], "skillCount" : 24, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "69ec72e84c40e2acd1d0b674", "title" : "Investigator (Statewide)", "company" : "Texas Workforce Commission", "industry" : "Government", "salary" : { "min" : 65000.0, "max" : 85000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Investigator in Austin, Texas, adjusted for government industry and full-time employment." }, "location" : "826947", "locations" : [ "826947", "
Austin:101 E 15th St (320-4001) (320TX-4001)
101 E 15th St
Austin, 78778-0001

" ], "timestamp" : "2026-06-15T09:17:33.024", "fingerprint" : "d4d492997a074dfa7b11b4cbe71878d0794fc5c4513bc9461966d2a92fb670b2", "source" : "taleo", "language" : "en", "applyUrl" : "https://aa270.taleo.net/careersection/ex/jobdetail.ftl?job=34734", "externalId" : "34734", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Austin", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "30.2711286,-97.7436995" } ], "locationText" : "Austin, Texas, United States", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "professionalSkills" : [ "Technical assistance", "Information gathering", "Interviewing", "Counseling", "Instruction demonstration interpretation" ], "hardSkillsList" : [ "Investigative work", "Analyze issues", "Prepare investigation scope", "Determine investigative approach", "Maintain objectivity", "Provide technical assistance", "Coach investigators", "Recommend improvements", "Conduct research", "Analyze information", "Draw conclusions", "Analyze data", "Apply laws", "Apply agency policies", "Draw logical conclusions", "Train investigators", "Train TWC staff", "Train board staff", "Train contractors" ], "softSkillsList" : [ "Writing skills", "Self-directed", "Adult learner", "Effective communication", "Relationship building" ], "hardSkills" : [ { "name" : "Investigative work", "level" : "intermediate" }, { "name" : "Analyze issues", "level" : "intermediate" }, { "name" : "Prepare investigation scope", "level" : "intermediate" }, { "name" : "Determine investigative approach", "level" : "intermediate" }, { "name" : "Maintain objectivity", "level" : "intermediate" }, { "name" : "Provide technical assistance", "level" : "intermediate" }, { "name" : "Coach investigators", "level" : "intermediate" }, { "name" : "Recommend improvements", "level" : "intermediate" }, { "name" : "Conduct research", "level" : "intermediate" }, { "name" : "Analyze information", "level" : "intermediate" }, { "name" : "Draw conclusions", "level" : "intermediate" }, { "name" : "Analyze data", "level" : "intermediate" }, { "name" : "Apply laws", "level" : "intermediate" }, { "name" : "Apply agency policies", "level" : "intermediate" }, { "name" : "Draw logical conclusions", "level" : "intermediate" }, { "name" : "Train investigators", "level" : "intermediate" }, { "name" : "Train TWC staff", "level" : "intermediate" }, { "name" : "Train board staff", "level" : "intermediate" }, { "name" : "Train contractors", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Writing skills" }, { "name" : "Self-directed" }, { "name" : "Adult learner" }, { "name" : "Effective communication" }, { "name" : "Relationship building" } ], "majorSkills" : "Investigative work, Analyze issues, Draw conclusions", "majorSkillsList" : [ "Investigative work", "Analyze issues", "Draw conclusions" ], "coreResponsibilities" : "Analyze issues/allegations, Determine investigative approach, Prepare investigation scope, Determine appropriate use of interviews, Determine other investigative techniques, Maintain investigative objectivity, Maintain investigative impartiality, Advise boards, Provide technical assistance, Provide training to boards, Coach board investigators, Recommend next steps, Recommend improvements, Conduct thorough research, Analyze information, Draw evidence-based conclusions, Analyze available data, Apply knowledge of laws, Apply agency policies, Draw logical conclusions, Train investigators, Train TWC staff, Train board staff, Train contractors, Perform other duties", "teamCollaboration" : "Relationship building with workforce boards; Relationship building with other divisions; Relationship building with Office of Investigations", "domainKnowledge" : "TWC programs; Child Care programs; State laws; Federal laws; Agency policies", "domainList" : [ "twc-programs", "child-care-programs", "state-laws", "federal-laws", "agency-policies" ], "domainSpecificKnowledge" : [ "TWC programs", "Child Care programs", "State laws", "Federal laws", "Agency policies" ], "communicationSkills" : "Verbal skills; Written skills", "continuousLearning" : "Training and development opportunities", "problemSolvingSkills" : "Analyze issues; Draw conclusions; Independent judgment", "specialRequirements" : "Texas resident, Up to 25% travel", "outcomesObjectives" : "Draw evidence-based conclusions", "qualificationsBasic" : "1 year 6 months experience, Auditing or investigating experience, Unemployment insurance claims examiner experience, Information gathering experience, Interviewing experience, Counseling experience, Instruction demonstration interpretation experience", "qualificationsPreferred" : "Investigative experience, Knowledge of TWC programs, Experience conducting training, Experience developing training, Bilingual English/Spanish speaker", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "WHO WE ARE: Texas Workforce Commission connects people with careers across the state. While we are based in Austin on the north lawn of the Texas State Capitol, we have offices statewide. We're a Family Friendly Certified Workplace with great work-life balance, competitive salaries, extensive opportunities for training and development, and fantastic benefits. TWC's main office is located at 101 E.15th Street, Austin, TX, but this position is available for anyone in the State of Texas to apply. This position is in our FDCM/Program Investigations Department. TWC is not considering applications from individuals who require sponsorship for an employment visa, including those with H1B visas or those currently on student or postgraduate visas. You must be a Texas resident to work for the Texas Workforce Commission or willing to relocate to Texas. WHO YOU ARE: You are an experienced investigator with strong writing skills who is a self-directed and an intrinsically motivated adult learner. You communicate effectively and are capable of building relationships with our workforce boards and other divisions within TWC and the Office of Investigations. WHAT YOU WILL DO: The Investigator III performs complex (journey-level) investigative work. Works under general supervision, with moderate latitude for the use of initiative and independent judgment. YOU WILL BE TRUSTED TO: - Analyze issues/allegations to determine appropriate investigative approach. - Prepare investigation plans; define scope and objective of investigations. - Determine appropriate use of interviews and other investigative techniques. - Maintain investigative objectivity and impartiality. - Advise and/or provide technical assistance training to the boards - Coach board investigators on their investigations and recommend next steps and improvements. - Conduct thorough research and analyze information to draw evidence-based conclusions. - Analyze available data relating to issues/allegations; apply knowledge of relevant state and federal laws, agency policies to draw logical conclusions. - May train investigators, TWC staff, board staff, contractors, or others. - Perform other duties as assigned. YOU QUALIFY WITH: - One year and six months of full-time experience performing auditing or investigating work; or unemployment insurance claims examiner tasks; or gathering of information, interviewing, counseling or in the instruction, demonstration, and interpretation of policies in a public or private enterprise. - Relevant academic credits may be applied toward experience qualifications for this position. YOU ARE A GREAT FIT WITH: - Investigative experience - Knowledge of TWC programs, specifically Child Care - Experience conducting and developing training - Excellent communication, verbal and written skills. - Bilingual, English/Spanish speaker YOU GAIN: - A Family Friendly Certified Workplace. - Competitive salary: $4,591.33/month - Defined Retirement Benefit Plan - Optional 401(k) and 457 accounts - Medical Insurance - Paid time off, including time for vacation, sick and family care leave - Additional benefits for active employees can be found at https://www.ers.texas.gov/Active-Employees/Health-Benefits. Duty involves up to 25% travel within the state of Texas. VETERANS: Use your military skills to qualify for this position or other jobs! Go to www.texasskillstowork.com to translate your military work experience and training courses into civilian job terms, qualifications, and skill sets. Also, you can compare this position to military occupations (MOS) at the Texas State Auditor's Office by pasting this link into your browser: https://hr.sao.texas.gov/Compensation/MilitaryCrosswalk/MOSC_ComplianceInspectionandInvestigation.pdf . HOW TO APPLY: To be considered, please complete a State of Texas Application for Employment and apply online at www.workintexas.com or on Taleo ( Job Search ). TWC is not considering applications from individuals who require sponsorship for an employment visa, including those with H1B visas or those currently on student or postgraduate visas. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire. A position utilizing this classification will be designated as security sensitive according to the Texas Labor Code, Section 301.042. 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Across AWS; Product teams; Engineering teams", "domainKnowledge" : "Contact center; Cloud-based contact center; Artificial Intelligence; AWS services", "domainList" : [ "contact-center", "cloud-based-contact-center", "artificial-intelligence", "aws-services" ], "domainSpecificKnowledge" : [ "Contact center", "Cloud-based contact center", "Artificial Intelligence", "AWS services" ], "communicationSkills" : "Influence across organizations", "innovationCreativity" : "Rapid innovation; Innovative solutions", "problemSolvingSkills" : "Exceptional problem-solving; Analytical skills; Decision making; Ambiguous problem spaces", "outcomesObjectives" : "Deliver measurable customer impact", "qualificationsBasic" : "PhD in Computer Science, 10+ years research experience, Production AI/ML systems delivery, Deep expertise in AI/ML, Publication record, Experience leading teams, Exceptional problem-solving skills, Exceptional analytical skills", "qualificationsPreferred" : "Experience with large-scale ML systems, Experience with cloud computing, Track record of driving scientific innovation, Experience partnering with product teams, Experience partnering with engineering teams, Translate complex scientific concepts", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "As part of the AWS Applied AI Solutions organization, we have a vision to provide business applications, leveraging Amazon's unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers' businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon's real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use. The Principal Applied Scientist will drive the scientific vision for AI systems. The role requires tackling intrinsically hard, previously unsolved problems while balancing rapid innovation with reliability and compliance. You should be comfortable making decisions with incomplete information and driving solutions in ambiguous problem spaces. You'll work closely with senior technical leaders within the team and across AWS. We're looking for scientists who can maintain high standards while moving quickly, prioritizing both rapid experimentation and responsible AI development to deliver measurable customer impact. Key job responsibilities * Drive the scientific vision of teams in the organization and advise technical leadership on scientific challenges * Initiate and lead the design and delivery of science solutions that address significantly large or endemic customer and business problems * Propose innovative solutions to intrinsically hard, previously unsolved problems * Influence the organization towards adopting new approaches, concepts, and paradigms * Mentor and develop other scientists, fostering a culture of scientific excellence About the team Amazon Connect is a highly disruptive cloud-based contact center that enables businesses to deliver engaging, dynamic, and personal customer service experiences. Amazon Connect is the result of the ten years of development that went into building the tools Amazon uses to provide its award winning customer service at massive scale and launching it as a publicly available AWS service. With Amazon Connect, you can create your own cloud-based contact center and be taking calls in minutes. Amazon Connect leverages the power of Artificial Intelligence and the large ecosystem of AWS services such as Amazon Lex, Amazon Polly, AWS Lambda, Amazon S3 and Amazon Kinesis to provide a truly frustration free, easy-to-use, extensible, and natural customer experience. With this technology, we are transforming an industry and the way customers interact with businesses and how agents service them. Basic Qualifications: * PhD in Computer Science, Machine Learning, or related field * 10+ years of relevant, broad research experience after PhD * Track record of delivering production AI/ML systems with significant customer impact * Deep expertise in one or more areas of AI/ML (e.g., NLP, computer vision, deep learning) * Strong publication record in top-tier conferences or journals * Experience leading and mentoring teams of scientists and engineers * Exceptional problem-solving and analytical skills * Strong communication skills and ability to influence across organizations Preferred Qualifications: * Experience with large-scale machine learning systems and cloud computing * Track record of driving scientific innovation in industry settings * Experience partnering with product and engineering teams to deliver AI solutions * Demonstrated ability to translate complex scientific concepts to non-technical stakeholders Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $179,000/year in our lowest geographic market up to $309,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Principal Applied Scientist at Amazon Development Center U.S., Inc.. Skills: AI, Machine Learning, Scientific vision. Drive scientific vision. 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This is an opportunity to work at the centre of Saxo’s platform, where your decisions will directly influence reliability, performance, and long-term architecture._ The Back Office Core team builds the foundation of our post-trading systems. Every line of code and every system architecture we create ensures trust, drives efficiency, and secures the accurate financial state of our platform. We are, in many ways, the heartbeat of post-trading operating at the core of a global, revenue-critical environment. You will collaborate closely with senior post-trading developers across locations and play a key role in mentoring engineers, influencing engineering standards, and guiding architectural direction. Based in our Copenhagen headquarters, you will also work in a global setup alongside our engineering teams in India. _At Saxo, you will not just build systems you will help define how we evolve them._ **Responsibilities** In this role, you will take ownership of both building and evolving critical systems, working hands-on while contributing to long-term architectural direction. Your responsibilities will include: * Building scalable, high-performance solutions using C#/.NET and .NET Core * Designing and maintaining RESTful and gRPC APIs with clear, business-aligned contracts * Working across event-driven and service-oriented architectures in a distributed environment * Maintaining and optimising SQL Server databases, including performance-critical and legacy DB-centric components * Driving the modernisation of legacy systems, transitioning towards loosely coupled, scalable architectures * Ensuring high standards of reliability, correctness, observability, and performance in revenue-critical systems * Contributing to architecture decisions, engineering standards, and platform evolution * Facilitating entity-based communication using Kafka * Taking ownership of production systems, including monitoring, troubleshooting, and incident follow-up **Your profile** You are a highly experienced backend engineer who thrives in complex environments and takes pride in building systems that are both robust and scalable. You bring a combination of deep technical expertise, a proactive mindset, and a collaborative approach to problem-solving. We imagine that you: * Have 10–12 years of experience and a strong track record in software engineering * Bring deep expertise in C#/.NET and SQL programming * Have a solid understanding of microservices architecture and distributed systems * Ideally have experience with Kafka or similar event streaming technologies * Are detail-oriented, proactive, and comfortable working close to production systems * Enjoy mentoring others and influencing technical direction across teams * Are adaptable, curious, and motivated by continuously improving both systems and ways of working **We get curious people invested in the world** When you work at Saxo, you become a Saxonian and part of a purpose-driven organisation, where good ideas are always taken seriously, and where you can make a true impact. We are invested in your development, and you can expect a robust career from day one when you join Saxo – no matter which role you take on. You will join 2,500 other ambitious colleagues across 15 countries and become part of an international organisation. Working in Saxo, you will get to meet colleagues from many different cultures and backgrounds, and you should know that we value diversity and inclusion and see it as a genuine source of strength to drive growth, foster innovation and position us for long-term success. We encourage an open feedback culture and supportive team environments enabling employees to grow and fulfil their career aspirations. When you bring passion, curiosity, drive and team spirit, your learning journey will be dynamic and your career opportunities in Saxo will be immense. At Saxo we don’t just offer a job – we offer an opportunity to invest in your future! **How to apply :** Click here to create an account and upload your resume and a short motivation. We look forward to getting to know you better!", "summaryDescription" : "Senior Principal. NET Developer at Saxo. Skills: C#/.NET, SQL, Microservices, Distributed systems. Build scalable solutions. 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This is an opportunity to work at the centre of Saxo’s platform, where your decisions will directly influence reliability, performance, and long-term architecture._ **The Role** The Back Office Core team builds the foundation of our post-trading systems. Every line of code and every system architecture we create ensures trust, drives efficiency, and secures the accurate financial state of our platform. We are, in many ways, the heartbeat of post-trading operating at the core of a global, revenue-critical environment. You will collaborate closely with senior post-trading developers across locations and play a key role in mentoring engineers, influencing engineering standards, and guiding architectural direction. Based in our Copenhagen headquarters, you will also work in a global setup alongside our engineering teams in India. _\" At Saxo, you will not just build systems you will help define how we evolve them\"_ **Responsibilities** In this role, you will take ownership of both building and evolving critical systems, working hands-on while contributing to long-term architectural direction. Your responsibilities will include: * Building scalable, high-performance solutions using C#/.NET and .NET Core * Designing and maintaining RESTful and gRPC APIs with clear, business-aligned contracts * Working across event-driven and service-oriented architectures in a distributed environment * Maintaining and optimising SQL Server databases, including performance-critical and legacy DB-centric components * Driving the modernisation of legacy systems, transitioning towards loosely coupled, scalable architectures * Ensuring high standards of reliability, correctness, observability, and performance in revenue-critical systems * Contributing to architecture decisions, engineering standards, and platform evolution * Facilitating entity-based communication using Kafka * Taking ownership of production systems, including monitoring, troubleshooting, and incident follow-up **Your profile** You are a highly experienced backend engineer who thrives in complex environments and takes pride in building systems that are both robust and scalable. You bring a combination of deep technical expertise, a proactive mindset, and a collaborative approach to problem-solving. We imagine that you: * Have 10–12 years of experience and a strong track record in software engineering * Bring deep expertise in C#/.NET and SQL programming * Have a solid understanding of microservices architecture and distributed systems * Ideally have experience with Kafka or similar event streaming technologies * Are detail-oriented, proactive, and comfortable working close to production systems * Enjoy mentoring others and influencing technical direction across teams * Are adaptable, curious, and motivated by continuously improving both systems and ways of working **We get curious people invested in the world** When you work at Saxo, you become a Saxonian and part of a purpose-driven organisation, where good ideas are always taken seriously, and where you can make a true impact. We are invested in your development, and you can expect a robust career from day one when you join Saxo – no matter which role you take on. You will join 2,500 other ambitious colleagues across 15 countries and become part of an international organisation. Working in Saxo, you will get to meet colleagues from many different cultures and backgrounds, and you should know that we value diversity and inclusion and see it as a genuine source of strength to drive growth, foster innovation and position us for long-term success. We encourage an open feedback culture and supportive team environments enabling employees to grow and fulfil their career aspirations. When you bring passion, curiosity, drive and team spirit, your learning journey will be dynamic and your career opportunities in Saxo will be immense. At Saxo we don’t just offer a job – we offer an opportunity to invest in your future! **How to apply :** Click here to create an account and upload your resume and a short motivation. We look forward to getting to know you better!", "summaryDescription" : "Senior Principal. NET Developer at Saxo. Skills: C#/.NET, SQL, Microservices, Distributed systems. Build scalable solutions. 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Skills: Data science, Machine learning. Develop and deploy machine learning models. 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IF YOU APPLY THROUGH MASS CAREERS AND DO NOT COMPLETE THE CPCS iCIMS APPLICATION, YOU WILL NOT BE CONSIDERED FOR THIS POSITION. PLEASE USE THE FOLLOWING LINK TO APPLY (CUT AND PASTE INTO YOUR BROWSER IF THE EMBEDDED LINK DOES NOT WORK): https://careers-publiccounsel.icims.com/jobs/3100/investigator---pdd-framingham/job ******************** The Public Defender Division of Committee for Public Counsel Services, the Massachusetts public defender agency, is seeking an Investigator for the Framingham Office . Investigators conduct criminal defense investigations and aid in trial preparation for CPCS Trial Attorneys in District, and Superior Court cases in Middlesex County. Investigators are key members of the defense team who assist in developing defense strategies for indigent persons charged with criminal offenses by interviewing witnesses, documenting crime scenes, and later testifying in court. We fight for equal justice and human dignity by supporting our clients in achieving their legal and life goals. We zealously advocate for the rights of individuals and promote just public policy to protect the rights of all. Our Values Courage • Accountability • Respect • Excellence DIVERSITY AND INCLUSION MISSION STATEMENT CPCS is committed to protecting the fundamental constitutional and human rights of our assigned clients through zealous advocacy, community-oriented defense, and the fullness of excellent legal representation. We are dedicated to building and maintaining strong professional relationships, while striving to accept, listen to and respect the diverse circumstances of each client, as we dedicate ourselves to meeting their individual needs. It is our CPCS mission to achieve these goals, and in furtherance thereof, we embrace and endorse diversity, equity and inclusion as our core values as we maintain a steadfast commitment to: (1) Ensure that CPCS management and staff members represent a broad range of human differences and experience; (2) Provide a work climate that is respectful and supports success; and (3) Promote the dignity and well-being of all staff members. CPCS leadership is responsible for ensuring equity, diversity, and inclusion. The ability to achieve these goals with any level of certainty is ultimately the responsibility of each member of the CPCS community. AGENCY OVERVIEW CPCS is the state agency in Massachusetts responsible for providing an attorney when the state or federal constitution or a state statute requires the appointment of an attorney for a person who cannot afford to retain one. The agency provides representation in criminal, delinquency, youthful offender, family regulation, guardianship, mental health, sexually dangerous person, and sex offender registry cases, as well as in appeals and post-conviction and post-judgment proceedings related to those matters. The clients we represent are diverse across every context imaginable and bring many unique cultural dimensions to the matters we address. This reality creates a critical need for CPCS staff to be culturally competent and able to work well with people of different races, ethnicities, genders and/or sexual orientation identities, abilities, and limited English proficiency, among other protected characteristics. OFFICE OVERVIEW The Public Defender Division Framingham Trial Office provides public defense services for Middlesex County. The PDD Framingham Trial Office is conveniently located in Framingham and is frequently referred to as Metro West, a subsection of Greater Boston. Home to sights of great interest such as the Callahan State Park, and the peaceful and serene Garden in the Woods, the city of Framingham, founded in the mid-1600’s, now enjoys a rich and diverse population, and is indeed, a growing and vibrant community. Please access the following link to discover more about the CPCS Public Defender Division Framingham Trial Office: http://www.publiccounsel.net/dir/framingham-dist-pd POSITION OVERVIEW Public Defender Investigators are key members of the defense team and are responsible for conducting criminal defense investigations and trial preparation for CPCS Trial Attorneys as well as assisting in developing defense strategy for indigent persons charged with criminal offenses in the District, and Superior courts in Middlesex County. Key responsibilities of Investigators are locating and interviewing persons, obtaining facts, inspecting records, writing reports, documenting crime scenes, searching databases and social media, summonsing witnesses to court, shepherding witnesses through the trial court process, and testifying in court. Investigators work under the direction of the Attorney-in-Charge, the Director of Investigations, and the Supervising Investigator and work collaboratively with other staff investigators, Attorneys-in-Charge, and CPCS Administration. RESPONSIBILITIES Locating and interviewing cooperative and, at times, uncooperative witnesses, alleged victims, and clients; Investigating crime scenes, commonly located in neighborhoods that have been designated as ‘high crime areas’ by local law enforcement agencies; Preparing and presenting oral and/or written reports based upon interviews and/or information obtained during the course of the investigation; Conducting surveillance; Measuring, diagramming, and photographing locations where crimes may have taken place and/or any location appropriate to the defense strategy; Utilizing computers for on-line access to the Registry of Motor Vehicles, public records, databases, social networking sites, and various online searches; Keeping accurate records of all phases of the investigation, and being accountable for all aspects of the investigation; Testifying in court as needed; Networking and maintaining personal contact with individuals in various agencies, including, but not limited to, police departments, courts, state agencies, private sector agencies, and others to facilitate access to information necessary to the defense of a case; Reviewing and analyzing police reports and witness statements; Maintaining open lines of communication with attorneys as to investigative updates and case strategy and meeting all deadlines associated with cases; Maintaining professional and productive relationships with attorneys; Evaluating individuals and factual situations to aid the attorney in preparing and presenting a defense to the criminal charges; Advising attorneys regarding changes and developments in investigative tools and techniques; Developing familiarity with Massachusetts criminal laws and rules of criminal procedure; Serving summonses on witnesses and document record keepers; Arranging timely appearance of witnesses at court by keeping them “on call” and when necessary providing transportation for clients and/or witnesses to court or other facilities; Preparing exhibits for trials and hearings; Ability to work independently and outside of normal business hours as needed; Participating in training programs for attorneys, as well as investigators; and, Other duties as assigned. MINIMUM ENTRANCE REQUIREMENTS Associate degree with coursework in criminal justice, forensics, law or related area of study; a minimum of three years of experience in criminal defense investigations or a related investigative field which primarily involves the interviewing of persons, obtaining facts, inspection of records and writing reports; or an equivalent combination of education, experience, and skills; Must possess a valid and active Massachusetts driver’s license and have full access to a dependable automobile; and, Access to home internet access sufficient to work remotely. A bachelor’s degree may be substituted for up to 2 years of investigatory experience. QUALIFICATIONS/SKILLS Experience with Microsoft Office, internet databases, online searches and databases, and camera and video equipment; Strong interpersonal skills and ability to communicate effectively, orally and in writing; Good analytical and time-management skills; Bilingual abilities preferred; and, Adjusting scheduled hours to work outside of regular business hours, e.g., on nights and weekends, is required with some regularity. Ability to be flexible due to unexpected and times sensitive issues requiring immediate attention is essential. The successful candidates will be subject to a background check including CORI and driving history reviews. EEO Statement The Committee for Public Counsel Services (CPCS) is an equal opportunity employer and does not discriminate on the basis of race, color, national origin, ethnicity, sex, disability, religion, age, veteran or military status, genetic information, gender identity, or sexual orientation as required by Title VII of the Civil Rights Act of 1964, the Americans with Disabilities Act of 1990, and other applicable federal and state statutes and organizational policies. Applicants who have questions about equal employment opportunity or who need reasonable accommodations can contact the Chief Human Resources Officer, Sandra DeBow-Huang, at sdebow@publiccounsel.net ********************ALL APPLICANTS MUST APPLY DIRECTLY THROUGH THE CPCS iCIMS WEBSITE. IF YOU APPLY THROUGH MASS CAREERS AND DO NOT COMPLETE THE CPCS iCIMS APPLICATION, YOU WILL NOT BE CONSIDERED FOR THIS POSITION. PLEASE USE THE FOLLOWING LINK TO APPLY (CUT AND PASTE INTO YOUR BROWSER IF THE EMBEDDED LINK DOES NOT WORK): https://careers-publiccounsel.icims.com/jobs/3100/investigator---pdd-framingham/job ******************** Investigator - CJC", "summaryDescription" : "Investigator - PDD Framingham at Committee for Public Counsel Services", "createdAt" : "2026-06-14T20:49:19.816", "lastUpdated" : "2026-06-16T01:27:42.188", "ingestTimestamp" : "2026-06-14T20:49:19.816", "mongoId" : "6a17309c58b93c861ed12f64", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 75000, "salaryAnnualMax" : 105000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "legal", "seniorityLevel" : "Mid", "dataQualityScore" : 0.6666667, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Legal", "llmIndustryConfidence" : 0.98 } ], "status" : 200, "message" : "assoc principal investigator senior scientist immunochemistry jobs", "metadata" : { "title" : "assoc principal investigator senior scientist immunochemistry" }, "pagination" : { "page" : 0, "limit" : 50, "totalCount" : 72911, "totalPages" : 1459, "hasNext" : true, "hasPrevious" : false } }

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