{ "count" : 66980, "data" : [ { "id" : "6a2c69f974d8ee00a0909e92", "title" : "Senior Scientist, Cardiac Preservation (Organ Perfusion)", "industry" : "Organ Preservation", "salary" : { "min" : 175000.0, "max" : 210000.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "Bay Area", "locations" : [ "Bay Area" ], "timestamp" : "2026-06-16T05:23:03.554", "fingerprint" : "9c258385a9302a65bb63bc22d6d352b6ebac8fb77a6befa4b6462f4afbd957c7", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/until/08c42799-d838-4955-99a9-05249c67fa5d/apply", "externalId" : "08c42799-d838-4955-99a9-05249c67fa5d", "industryFunction" : { }, "structuredLocations" : [ { "state" : "California", "country" : "United States", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "California, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "PhD", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Cryopreservation, Machine perfusion", "professionalSkills" : [ "Experimental design", "Protocol execution" ], "hardSkillsList" : [ "Cardiac physiology", "Cardiac biology", "Myocardial metabolism", "Contractile function", "Ischemia/reperfusion injury", "Organ viability assessment", "Multimodal readout interpretation", "Histology", "Omics" ], "softSkillsList" : [ "Problem solving", "First principles thinking" ], "hardSkills" : [ { "name" : "Cardiac physiology", "level" : "intermediate" }, { "name" : "Cardiac biology", "level" : "intermediate" }, { "name" : "Myocardial metabolism", "level" : "intermediate" }, { "name" : "Contractile function", "level" : "intermediate" }, { "name" : "Ischemia/reperfusion injury", "level" : "intermediate" }, { "name" : "Organ viability assessment", "level" : "intermediate" }, { "name" : "Multimodal readout interpretation", "level" : "intermediate" }, { "name" : "Histology", "level" : "intermediate" }, { "name" : "Omics", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Problem solving" }, { "name" : "First principles thinking" } ], "majorSkills" : "Cardiac preservation, Organ perfusion, Normothermic machine perfusion", "majorSkillsList" : [ "Cardiac preservation", "Organ perfusion", "Normothermic machine perfusion" ], "coreResponsibilities" : "Develop ex vivo heart perfusion protocols, Execute ex vivo heart perfusion protocols, Maintain cardiac viability, Evaluate cardiac viability, Build heart viability assessment toolkit, Propose cryoprotectant formulation adjustments, Test cryoprotectant formulation adjustments, Propose loading/unloading adjustments, Test loading/unloading adjustments, Propose cooling protocol adjustments, Test cooling protocol adjustments, Propose rewarming protocol adjustments, Test rewarming protocol adjustments, Translate cardiac physiology knowledge, Translate cardiac biology knowledge, Design experiments, Interpret experiments", "teamCollaboration" : "Work with scientists; Work with engineers", "domainKnowledge" : "Cardiac physiology; Cardiac biology; Myocardial metabolism; Contractile function; Ischemia/reperfusion injury; Organ preservation; Normothermic machine perfusion", "domainList" : [ "cardiac-physiology", "cardiac-biology", "myocardial-metabolism", "contractile-function", "ischemia-reperfusion-injury", "organ-preservation", "normothermic-machine-perfusion" ], "domainSpecificKnowledge" : [ "Cardiac physiology", "Cardiac biology", "Myocardial metabolism", "Contractile function", "Ischemia/reperfusion injury", "Organ preservation", "Normothermic machine perfusion" ], "problemSolvingSkills" : "Rapid problem solving; Rapid exploration; Complex problem solving; Cross-disciplinary problem solving", "qualificationsBasic" : "4+ years scientific leader experience", "qualificationsPreferred" : "PhD in cardiac physiology, PhD in organ preservation, PhD in transplant, Cardiac transplant research experience, Heart preservation research experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "## What You'd Do Develop and execute ex vivo heart perfusion protocols, including normothermic machine perfusion (NMP), to maintain and evaluate cardiac viability before and after cryopreservation. Build out the heart viability assessment toolkit, including contractile and hemodynamic function, perfusion metrics, metabolic and lactate profiling, histology, and omics. Propose and test adjustments to cryoprotectant formulations, loading/unloading, cooling, and rewarming protocols to optimize cardiac health and recovery. Translate detailed knowledge of cardiac physiology and biology into experimental design and interpretation across the team. ## About You Deep, hands-on expertise in ex vivo heart perfusion, ideally including normothermic machine perfusion (NMP) of the heart. Intimate understanding of cardiac physiology and biology, including myocardial metabolism, contractile function, and ischemia/reperfusion injury. Experience designing and running organ viability assessments and interpreting multimodal readouts (functional, metabolic, histological, omics). Comfort working at the bench in an ex vivo model and a track record of executing complex experimental protocols. Demonstrated success working through hard, open-ended problems, with a passion for rapid problem solving and rapid exploration of unfamiliar topics and protocols. Ability to think from first principles and tackle complex, cross-disciplinary problems alongside other scientists and engineers. ## Preferred Qualifications PhD in a STEM field, ideally in cardiac physiology, organ preservation, or transplant — or significant (4+ years) experience as a scientific leader in an industry context. Direct experience with cardiac transplant or heart preservation research.", "summaryDescription" : "Senior Scientist, Cardiac Preservation (Organ Perfusion). Skills: Cardiac preservation, Organ perfusion, Normothermic machine perfusion. Develop ex vivo heart perfusion protocols. Execute ex vivo heart perfusion protocols", "postedDate" : "2026-05-27T21:59:09.021", "createdAt" : "2026-05-27T21:59:09.021", "lastUpdated" : "2026-06-16T05:23:03.554", "ingestTimestamp" : "2026-06-14T21:02:00.690", "mongoId" : "6a2c69f974d8ee00a0909e92", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 175000, "salaryAnnualMax" : 210000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Cardiac physiology", "Cardiac biology", "Myocardial metabolism", "Contractile function", "Ischemia/reperfusion injury", "Organ viability assessment", "Multimodal readout interpretation", "Histology", "Omics", "Problem solving", "First principles thinking", "Cardiac preservation", "Organ perfusion", "Normothermic machine perfusion", "Experimental design", "Protocol execution", "Organ preservation" ], "skillCount" : 17, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 641.63745, "daysOld" : 19, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.95 }, { "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, "_score" : 597.0235, "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, "_score" : 596.84607, "hasLocation" : true, "hasGeo" : true, "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, "_score" : 592.692, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "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. 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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. 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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, "_score" : 588.7343, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "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. 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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. 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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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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, Wetland science, Wildlife biology. Lead 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, Field surveys. Lead and direct wetland delineations. 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Bellevue, Washington, United States; Everett, Washington, United States; Gig Harbor, Washington, United States; Olympia, Washington, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "GIS software", "professionalSkills" : [ "Task management", "Budget management", "Schedule management", "Permitting applications", "Technical writing", "Client-agency communications", "Proposal development", "Quality assurance", "Quality control", "Ecological assessment", "Environmental impact analysis", "Environmental due diligence", "Biological resources management" ], "hardSkillsList" : [ "Wetland delineations", "Stream delineations", "Functional assessments", "Wildlife surveys", "Habitat evaluations", "GPS data collection", "Technical editing" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Wetland delineations", "level" : "intermediate" }, { "name" : "Stream delineations", "level" : "intermediate" }, { "name" : "Functional assessments", "level" : "intermediate" }, { "name" : "Wildlife surveys", "level" : "intermediate" }, { "name" : "Habitat evaluations", "level" : "intermediate" }, { "name" : "GPS data collection", "level" : "intermediate" }, { "name" : "Technical editing", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Environmental science, Natural resources, Permitting, Ecological assessment", "majorSkillsList" : [ "Environmental science", "Natural resources", "Permitting", "Ecological assessment" ], "coreResponsibilities" : "Lead and direct wetland and stream delineations, Lead functional assessments, Lead wildlife surveys, Lead habitat evaluations, Manage task level scope, Manage budgets, Manage schedules, Oversee preparation of natural resources permitting applications, Lead development of critical areas reports, Lead development of wetland and water delineation reports, Lead development of mitigation and monitoring plans, Contribute as an author on natural resource documents, Contribute as strategic advisor on natural resource documents, Provide quality assurance / quality control review of, Support project managers with client-agency communications, Support technical staff with client-agency communications, Develop proposals for biological-related tasks, Prepare scopes for proposals, Prepare schedules for proposals, Prepare budgets for proposals, Collaborate with junior environmental staff, Collaborate with mid-level environmental staff, Collaborate with planners, Collaborate with project engineers, Collaborate with GIS specialists, Collaborate with clients, Perform other related duties as needed", "teamCollaboration" : "Cross-functional teams; 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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, 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, 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, "_score" : 575.77466, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Environmental Services", "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. Develop and implement data science solutions. 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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. 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Check out our new video, \"We are Planned Parenthood of the Pacific Southwest” for more information about our organization: https://bit.ly/WeArePPPSW. Care. No Matter What. ## In this role, you'll get to Under the direction of supervisor, coordinate advocacy efforts including phone banks, postcard/letter writing campaigns, non-partisan voter registration drives, house parties, etc. Increase the number of community supporters through recruiting, training, and coordinating outreach programs. Work in collaboration with internal departments and external community partners to coordinate community outreach activities in diverse communities as needed. Support Community and Government Relations departmental advocacy initiatives, grants, and programs. Assist with daily office functions, events, and other duties and responsibilities as requested by the supervisor. Assist in the coordination of fundraising or special events, as needed. Under the direction of supervisor. Execute the day-to-day operations of a political field campaign. Establish and maintain a strong base of Action Fund supporters and volunteers to support the Action Fund’s local, state-wide, and national electoral campaigns by leading volunteer recruitment and retention. Manage existing volunteer and supporter base by initiating frequent and regular communication Generate new volunteers through organizing outreach efforts and guiding the development of staff members, volunteers and interns’ abilities to be effective organizers and community leaders. Provide regular reporting on all quantitative and qualitative field metrics. Collaborate in the maintenance of the Action Fund’s voter file and supporter databases. ## What we're looking for High school diploma or equivalent experience in political science, community relations, communications, or related field - Required 2+ years experience in community organizing, legislative, public affairs, sociology, or policy-oriented environment including issue or electoral campaigns, advocacy or related experience – Required, and Demonstrated experience in community organizing and legislative/political/electoral work – Required Excellent relationship building skills and strong knowledge of the region – Required Ability to use database tools for resource mapping, political and electoral campaigns – Required ## Additional Information We are the power of Planned Parenthood. We are Planned Parenthood of the Pacific Southwest, one of the largest and most prominent affiliates of the most iconic health care organization in the world. We are recognized for the wide array of services we provide and the outstanding education we deliver. We are a prominent and powerful team of health experts who work relentlessly to help our communities sustain their health and well-being. We adhere to the highest standards and protocols as we collaborate and care for people, without judgment. 100 years of advocating for our mission has secured our advancement, our future and our passion for practicing health care. We are a team you can have fun with and a powerful movement you can be part of. Together we’ll take pride in shaping the future of sexual health and reproductive rights. For those who feel that purpose is critical to their work, this is a gift. In This Together. Planned Parenthood of the Pacific Southwest is an Equal Opportunity Employer. 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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. 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", "summaryDescription" : "Cardiac Sonographer - PRN at Roshal Health", "postedDate" : "2026-06-15T13:03:42.783", "createdAt" : "2026-06-15T13:03:42.783", "lastUpdated" : "2026-06-16T12:36:05.827", "ingestTimestamp" : "2026-06-16T03:22:03.008", "mongoId" : "6a30567ff292fd229cf2a5f0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 65000, "salaryAnnualMax" : 95000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.6666667, "_score" : 506.1022, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30567ff292fd229cf2a5e4", "title" : "Cardiac Sonographer - PRN", "company" : "Roshal Health", "industry" : "Oklahoma", "salary" : { "min" : 65000.0, "max" : 85000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimation is based on the market baseline for a Junior Cardiac Sonographer in Ardmore, United States, with adjustments for industry and company size." }, "location" : "Ardmore, OK", "locations" : [ "Ardmore, OK" ], "timestamp" : "2026-06-16T11:15:42.289", "fingerprint" : "c3a8e2a42979e367041850e2e0155cabc620c3a849d814023b3beb43a8899bdf", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/roshalimaging/3eea87d7-fcb0-43da-aa21-77fd8dae6e20/apply", "externalId" : "3eea87d7-fcb0-43da-aa21-77fd8dae6e20", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Ardmore", "state" : "Oklahoma", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "34.1729273,-97.1309119" } ], "locationText" : "Ardmore, Oklahoma, United States", "experienceMinYears" : 1, "remoteFriendly" : true, "rawDescription" : "## Description Ardmore - PRN Roshal Health was founded over 20 years ago by a Diagnostic Imaging Professional who wanted to create a company with both the patient and the Technologist in mind, providing more time for our patients and a better work/life balance for our Technologists. 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Echo Technologist Requirements Minimum 1 year of imaging experience post-graduation Current ARDMS RDCS or CCI certification Valid Driver’s License BLS/CPR Certification Professionalism and strong interpersonal communication skills Self-motivated with the ability to work independently Pass all necessary health requirements for hospital employment, including drug screen and background check Comfort level with Ability to use mobile phone devices & applications Responsibilities Perform a wide range of Echo imaging procedures in an ER environment Lead with empathy: Communicate compassionately & professionally with patients Sparkle: Bring a smile to work every day Shine: Maintain equipment and area cleanliness Contribute to our collective success: Communicate professionally & effectively with hospital staff & colleagues Proficiency with necessary technical equipment in diagnostic modality Additional tasks as needed Benefits Comprehensive Medical Insurance including: 24/7 Virtual Care (telemedicine)Vital Medication ProgramText CareHSA & FSAEAP Dental & Vision Benefits PTO 401(k) retirement plan Emphasis on work/life balance Opportunity for career growth & advancement Mileage Reimbursement Roshal Imaging Services LLC is an Equal Opportunity / Affirmative Action employer. All qualified individuals will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, protected veteran status, marital status, or another protected status under federal, state, or local laws. 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Technology; Business; Product", "projectManagementSkills" : [ "Agile methodologies", "Roadmap" ], "domainKnowledge" : "Digital product development", "domainList" : [ "digital-product-development" ], "domainSpecificKnowledge" : [ "Digital product development" ], "toolProficiency" : [ "Tableau", "Looker", "PowerBI", "Pandas", "SciPy", "Seaborn", "Jupyter", "IPython" ], "continuousLearning" : "External learning budget", "problemSolvingSkills" : "Data-driven hypotheses; Actionable insights", "qualificationsBasic" : "6+ years of professional experience, Higher education in scientific discipline, Knowledge and experience in digital product development, Demonstrable experience with statistical modeling, Deep theoretical and applied knowledge in ML/statistics, Good understanding of software development, Mastery in SQL, Mastery in statistical programming (Python), Experience working with Pandas, Experience working with SciPy, Experience working with Seaborn, Experience working with Jupyter/iPython notebooks, Demonstrated experience in designing experiments, Demonstrated experience in analyzing experiments, Knowledge of visualization tools", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : false, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Glovo is part of the Delivery Hero Group, the world’s pioneering local delivery platform, our mission is to deliver an amazing experience—fast, easy, and to your door. We operate in around 70 countries worldwide. Headquartered in Berlin, Germany. Delivery Hero has been listed on the Frankfurt Stock Exchange since 2017 and is part of the MDAX stock market index. YOUR MISSION As a part of the data organization you will work to ensure customers have an excellent experience when ordering through the Glovo app. You will work on problems related to recommendations, pricing, customer retention and more. You will be responsible for nurturing a strong experimentation culture, work on discoveries that drive the product roadmap and build solutions that impact millions of customers. THE JOURNEY Be part of a team where you will: * Leverage advanced statistical modeling and machine learning techniques to solve for product and business problems that drive the highest impact. * Work closely with multi-disciplinary teams to define the product roadmap and strategy, monitor and give visibility of product metrics and KPIs. * Drive product discovery, formulate data-driven hypotheses and convert them into analysis and actionable insights. * Own analytics tasks end to end in the product development cycle: from ideation and opportunity sizing to experimentation and post-launch impact analyses. * Foster strong relationships with stakeholders acting as a strategic and supportive link between the technology, business, and product. ## Qualifications WHAT YOU WILL BRING TO THE RIDE Requirements: * 6+ years of professional experience outside of an academic and internship setting, in a quantitative analysis role, preferably in product facing teams * A higher education in a scientific discipline such as Physics, Statistics, Computer Science, Mathematics or Economics. * Knowledge and experience in digital product development and working with diverse stakeholders * Demonstrable experience with the application of statistical modeling and advanced analytics to provide product-shaping insights and drive decision-making * Deep theoretical and applied knowledge in at-least one of the following areas: supervised and unsupervised learning, deep learning, reinforcement learning, game theory, statistical inference, bayesian statistics, causal inference, time series analysis, decision theory, mathematical optimisation * Good understanding of software development and agile methodologies * Mastery in SQL and statistical programming (Python) and experience working with popular libraries such as Pandas, SciPy, Seaborn, Jupyter/iPython notebooks * Demonstrated experience in designing and analyzing experiments in digital products (A/B test, multivariate, etc) * Knowledge of visualization tools like Tableau, Looker, PowerBI * Excellent spoken and written English Individuals representing diverse profiles, encompassing various [genders](https://hbr.org/2014/08/why-women-dont-apply-for-jobs-unless-theyre-100-qualified), ethnicities, and backgrounds, are less likely to apply for this role if they do not possess solid experience in 100% of these areas. Even if it seems you don't meet our musts don't let it stop you, we are all about finding the best talent out there! Skills can be learned, and embracing diversity is invaluable. We believe driven talent deserves: * \uD83C\uDF1F An enticing equity plan (dependent on level) that lets you own a piece of the action. * \uD83D\uDCAA Top-notch private health insurance to keep you at your peak. * \uD83C\uDF54 Monthly Glovo credit to satisfy your cravings! * \uD83D\uDCB3 Discounts on transportation, food, and even kindergarten expenses. * \uD83C\uDFCA Wellhub membership to keep you energised. * \uD83C\uDFD6️Flexible time off, the freedom to work from home two days a week, and the opportunity to work from anywhere for up to three weeks a year! * \uD83D\uDC6A Enhanced parental leave, and office-based nursery. * \uD83E\uDDE0 Online therapy and wellbeing benefits to ensure your mental well-being. * \uD83D\uDCDA An external learning budget to fuel your thirst for knowledge and personal growth. Here in Glovo, we thrive on diversity, we believe it enhances our teams, products, and culture. We know that the best ideas come from a mashup of brilliant diverse minds. This is why we are committed to providing equal opportunities to talent from all backgrounds - all genders, racial/diverse backgrounds, abilities, ages, sexual orientations and all other unique characteristics that make you YOU. We will encourage you to bring your authentic self to work, fostering an inclusive environment where everyone feels heard. Feel free to note your pronouns in your application (e.g., she/her/hers, he/him/his, they/them/theirs, etc). So, ready to take the wheel and make this the ride of your life? Delve into our culture by taking a peek at our [Instagram](https://www.instagram.com/lifeatglovo/) and checking out our [Linkedin](https://www.linkedin.com/company/glovo-app/) and [website](https://about.glovoapp.com/)! ## Additional Information At Glovo, your success is defined by both results and behaviors. We hire for excellence in craft and for the Leadership Principles that shape how we think, decide, and collaborate. What you achieve matters and how you achieve it defines us. Together, they move the business forward and deliver great experiences. Learn more about our Leadership Principles[ here](https://careers.deliveryhero.com/leadership-principles). Here at Glovo, we thrive on diversity, we believe it enhances our teams, products, and culture. We know that the best ideas come from a mashup of brilliant diverse minds. 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Product teams; Sales teams; Marketing teams; Engineering teams; Data teams; ML engineering teams", "projectManagementSkills" : [ "Agile" ], "toolProficiency" : [ "Pandas", "Scikit-learn", "TensorFlow", "PyTorch", "SQL", "Redshift", "BigQuery", "Snowflake", "Git", "Docker", "MLflow", "Airflow", "K8s", "Jupyter Notebook", "Athena", "Tableau", "Superset" ], "qualificationsBasic" : "5+ years of experience in Data Science, 5+ years of experience in Machine Learning, 5+ years of experience in Advanced Analytics, Python skills, Solid understanding of statistics, Solid understanding of experimentation, Solid understanding of machine learning, Solid understanding of model evaluation techniques, Experience working with large datasets, SQL proficiency, Experience with data warehouses, Familiarity with MLOps, Familiarity with modern development practices, Experience using AI-powered tools, Experience using AI agents, Communication skills, Ability to translate business needs into technical solutions, Comfortable working in agile environments, Comfortable working in fast-paced environments, Comfortable working in cross-functional environments", "qualificationsPreferred" : "Experience with Airflow, Experience with k8s, Experience with Jupyter Notebook, Experience with Athena, Experience with other big data technologies, Experience with NLP, Experience with LLMs, Experience with AI agent workflows, Familiarity with BI tools, Familiarity with visualization tools, Previous experience in SaaS, Previous experience in high-growth tech environments", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "Company Description At Docplanner Group, we’re on a mission to help people live longer, healthier lives. As the world’s largest healthcare platform, each month, we connect 24 million patients with 280k doctors across 13 countries (through brands like ZnanyLekarz, Doctoralia, MioDottore, DoktorTakvimi, and jameda). Our marketplaces, SaaS and AI tools simplify daily tasks and help doctors, clinics and hospitals work more efficiently, so they can focus on what really matters: caring for their patients. Learn more about our products here: https://pro.doctoralia.es/pro.doctoralia.es http://pro.doctoralia.es Why join us? \uD83D\uDCCA Real impact – We help doctors help patients. Your work truly makes a difference. \uD83D\uDCC8 At scale, yet agile – 3,000+ employees, but still fast, flexible, and hands-on. ✨ Shape the future, sustain growth – Make a difference now and build for long-term success. Job Description As a Senior Data Scientist at Docplanner, you will help transform complex data into actionable insights and scalable machine learning solutions that directly impact business growth and operational excellence. You will work on high-impact initiatives across Business, Operations, and Product areas, partnering closely with business stakeholders, engineers, and analytics teams. You will own data science and BI projects end-to-end - from problem definition and experimentation to model deployment and monitoring - using large-scale datasets and ML infrastructure. We are looking for someone who combines strong technical expertise with business understanding and a pragmatic, impact-driven mindset. This role is part of our Global Data department, supporting data and AI initiatives across Docplanner’s international operations. How would you be impacting our mission? - Own and deliver end-to-end data science and BI projects, from exploration and experimentation to deployment in production. - Build predictive models and machine learning solutions that support business decision-making and operational efficiency. - Analyze large datasets to uncover actionable insights, trends, and growth opportunities. - Design and evaluate experiments and A/B tests to measure impact and validate hypotheses. - Collaborate with cross-functional teams across Product, Sales, Marketing, and Engineering. - Improve and maintain scalable data pipelines and ML workflows together with Data & ML engineering teams. - Use modern AI tools, copilots, and AI agents to automate workflows, accelerate experimentation, and improve productivity. - Contribute to best practices in model development, testing, deployment, and documentation. What will help you thrive? - 5+ years of experience in Data Science, Machine Learning, or Advanced Analytics roles. - Strong Python skills and hands-on experience with libraries such as Pandas, Scikit-learn, TensorFlow, or PyTorch. - Solid understanding of statistics, experimentation, machine learning, and model evaluation techniques. - Experience working with large datasets, SQL, and data warehouses such as Redshift, BigQuery, or Snowflake. - Familiarity with MLOps and modern development practices (Git, Docker, MLflow, CI/CD). - Experience using AI-powered tools or AI agents to improve efficiency and automate repetitive tasks. - Strong communication skills and ability to translate business needs into practical technical solutions. - Comfortable working in agile, fast-paced, and cross-functional environments. Bonus points - Experience with Airflow, k8s, Jupyter Notebook, Athena, or other big data technologies. - Experience with NLP, LLMs, or AI agent workflows. - Familiarity with BI and visualization tools such as Tableau or Superset. - Previous experience in SaaS or high-growth tech environments. What to Expect from Our Hiring Process We like to keep things transparent and efficient! Here’s what the process usually looks like (though it might vary slightly depending on the role): 1️⃣ Intro Chat – A first call with our Talent Partner Giuliana https://www.linkedin.com/in/giulianaderocco/ to explore mutual fit around relevant skills, value alignment, and motivation. 2️⃣Hiring Manager Interview – A deeper conversation about your background, aspirations, and experience with Wiktor https://www.linkedin.com/in/wiktor-kulikowski-00839a93/?skipRedirect=true, Business Intelligence Manager and your potential manager in this role. Take this chance to ask anything on your mind—it’s just as much about making sure we’re the right fit for you, too. 3️⃣Business Case – A take-home exercise incl. a few days' preparation time, designed to understand how you approach real-life problems. You’ll then walk us through your approach in a collaborative discussion with the hiring manager and the team to discuss your thoughts and findings. 4️⃣Final Interview – A final conversation with one of your main stakeholder from our Global Team. 5️⃣ References & Offer! Why You’ll Love It Here \uD83D\uDC99 Global Benefits – No matter where you are, you’ll have access to: - Healthcare insurance – so you can focus on what matters. - Wellness that works for you – from gym memberships to mental health support, we’ve got you covered. - Time off that counts – whether it’s a vacation, your birthday, or just a day to recharge, we believe in balance. \uD83D\uDCCD Local Perks – Depending on your location, you will be entitled to local benefits like meal vouchers (ticket restaurant), transport allowances, or extended parental leave. \uD83D\uDE80 Career Growth – We’re growing, and so can you! You’ll find lots of chances to learn, develop, and explore new paths—whether within your team or through cross-functional projects. \uD83C\uDF0E A Truly Global Team – Work with talented people from all over the world in a diverse and inclusive environment. ⏳ Flexibility That Works for You – Remote work and flexible hours aren’t just buzzwords here. While the extent of flexibility depends on your role and team, we value results over rigid schedules. Prefer an office setting? You're welcome at any of our hubs in Barcelona, Warsaw, Curitiba, Rio de Janeiro, Mexico City, Bogotá, Munich, Rome or Bologna. Please note: At this time, we are not able to sponsor visas for this position. To apply, you must already have the legal right to work in your country of residence or the location of the role. What We Believe In At Docplanner, our values guide everything we do: \uD83D\uDCCA Focus on results – we're here to make an impact. \uD83E\uDDE0 Think like an owner – take responsibility, drive outcomes. ✂️ Keep it simple, keep it lean – smart solutions over complexity. \uD83D\uDD0A Be respectful and radically honest – openness builds trust. \uD83D\uDCDA Learn and be curious – growth is part of the job. Don’t just take our word for it—check out our Glassdoor https://www.glassdoor.com.br/Avalia%C3%A7%C3%B5es/DocPlanner-Avalia%C3%A7%C3%B5es-E1071394.htm?countryRedirect=true to hear what our people say! _________________________________________________________________________ We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. We welcome applicants from all walks of life, regardless of gender, disability, or background, and are dedicated to fostering an inclusive workplace where everyone feels valued and empowered to contribute.", "summaryDescription" : "Senior Data Scientist at Docplanner Group. Skills: Data science, Machine learning, BI projects, Predictive models. Own and deliver data science and BI projects. Build predictive models", "createdAt" : "2026-06-14T19:20:42.422", "lastUpdated" : "2026-06-16T06:40:43.191", "ingestTimestamp" : "2026-06-14T19:20:42.422", "mongoId" : "6a2c695274d8ee00a0906eee", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Statistics", "Machine learning", "Model evaluation", "Data warehousing", "MLOps", "Development practices", "Data science", "BI projects", "Predictive models", "Advanced analytics", "Model deployment", "Model monitoring", "Business intelligence", "Experimentation", "Hypothesis validation", "Agile", "Pandas", "Scikit-learn", "TensorFlow", "PyTorch", "SQL", "Redshift", "BigQuery", "Snowflake", "Git", "Docker", "MLflow", "Airflow", "K8s", "Jupyter Notebook", "Athena", "Tableau", "Superset" ], "skillCount" : 33, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 499.27097, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a30678df292fd229cfbf1c6", "title" : "Senior AI Applied Scientist II", "company" : "Prenuvo", "industry" : "Healthcare", "salary" : { "min" : 150000.0, "max" : 177000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Prenuvo HQ - Canada", "locations" : [ "Prenuvo HQ - Canada" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T08:02:15.912", "fingerprint" : "beceb478cfd22a6d32aae19f8f8ce67eae54a77a98fbc05e52a7c851dde444de", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://app.careerpuck.com/job-board/prenuvo/job/4703494005?gh_jid=4703494005", "externalId" : "4703494005", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Vancouver", "state" : "British Columbia", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "49.2608724,-123.1139520" } ], "locationText" : "Vancouver, British Columbia, Canada", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, R, Spark, Dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, SageMaker, Athena, GCP, Vertex AI, Azure, Synapse, ML Studio", "professionalSkills" : [ "Data engineering", "ML/AI", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Statistical methods", "Modelling skills" ], "hardSkillsList" : [ "Data modeling", "Statistical analysis", "Machine learning", "Deep learning", "Data pipeline development", "ETL processes", "Data warehousing", "Cloud computing", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Deep learning", "level" : "intermediate" }, { "name" : "Data pipeline development", "level" : "intermediate" }, { "name" : "ETL processes", "level" : "intermediate" }, { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "Cloud computing", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Machine Learning, Data Engineering, Cloud Data Stacks, ML Frameworks", "majorSkillsList" : [ "Machine Learning", "Data Engineering", "Cloud Data Stacks", "ML Frameworks" ], "coreResponsibilities" : "Develop and deploy machine learning models, Build and maintain data pipelines, Design and implement data warehousing solutions, Perform data analysis and generate insights, Collaborate with cross-functional teams, Stay up-to-date with the latest AI/ML advancements, Contribute to the development of data strategy, Ensure data quality and integrity", "teamCollaboration" : "Cross-functional teams", "domainKnowledge" : "Healthcare data", "domainList" : [ "healthcare-data" ], "domainSpecificKnowledge" : [ "Healthcare data" ], "toolProficiency" : [ "Tableau", "Power BI", "Looker" ], "problemSolvingSkills" : "Analytical skills", "qualificationsBasic" : "5+ years of experience in data science or related field, Proficiency in SQL, Experience with Python or R, Experience with machine learning frameworks, Experience with cloud platforms", "qualificationsPreferred" : "PhD in a quantitative field, Experience with PyTorch or TensorFlow, Experience with AWS, GCP, or Azure, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified Associate, Dbt Certified Associate", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "About Us At Prenuvo, we are on a mission to flip the paradigm from reactive “sick-care” to proactive health care. Our award-winning whole body scan is fast (under 1 hour), safe (MRI has no ionizing radiation), and non-invasive (no contrast). Our unique integrated stack of optimized hardware, software, and increasingly AI, coupled with the patient-centric experience across our domestic and global clinics, have allowed us to lead the change against “we caught it too late again\". We are looking for a Senior AI Applied Scientist II to independently own a model domain end-to-end within our AI Research org, from problem framing through validated, production-deployed models. As Prenuvo’s AI org moves from task-specific models toward foundational work (meaning pre-trained backbones, multi-task heads, and the addition of clinical text and structured data), we need scientists who design experiments rather than only run them, diagnose failure modes on their own, and shape how the team approaches a whole class of problems. You will work at the intersection of deep learning, medical imaging, and clinical translation, accountable for both the rigor of the science and the delivery of the work. This hybrid role is based in Vancouver. We expect you to be technically credible enough to review model architectures, challenge assumptions, and roll up your sleeves when it matters. We also expect you to build a team environment where people do their best work. This role does not provide visa sponsorship. Applicants must be legally authorized to work in Canada at the time of hire and must not require employer sponsorship for a work visa (current or future). Help reshape the world through proactive healthcare while working with cutting-edge technology and high performing teams with deep expertise - join us to make a difference in people’s lives! What You’ll Do Lead development of foundation models and multimodal systems for whole-body MRI, advancing self-supervised and large-scale representation learning across imaging, radiology, lab, and longitudinal data. Own experiment design and validation study scoping for your domain, diagnosing failure modes independently. Drive the data quality, annotation criteria, and quality standards your models depend on, engaging directly with clinical framing for your domain. Guide the strategic application of generative and agentic AI, including LLM adaptation and workflow orchestration, to accelerate research and clinical workflows. Contribute modeling approaches that others adopt, and define and execute a research roadmap that advances Prenuvo's foundation-model capabilities. Lead clinical review for your domain, partner across clinical, annotation, and ML Engineering, and raise the code-quality bar for the team. Deliver production-ready models with documented validation, clinical sign-off, and performance benchmarks, owning the technical narrative for your domain. What You’ll Bring Technical depth Strong MSc or PhD from a top-tier institution in CS, biomedical engineering, statistics, mathematics, or a related field. A minimum of 4 academic or industry years of ML experience, with a strong publication or applied-research record including at least one first-author work. Expert-level PyTorch and the ability to write and review production-quality research code. Demonstrated ability to own a model domain end-to-end (architecting, training, validating, deploying to a real performance bar) and to design experiments and validation studies independently. Deep fluency in self-supervised learning: masked image modeling, contrastive learning, JEPA-style methods, knowledge distillation, and large-scale representation learning. Strong command of modern vision and multimodal architectures: Vision Transformers, multimodal transformers, foundation models, and vision-language models. Experience in medical image analysis (segmentation, detection, classification, biomarker extraction, longitudinal modeling) and multimodal fusion of imaging with radiology, clinical, lab, and structured patient data. Experience applying generative and agentic AI (LLM adaptation, workflow orchestration) to healthcare or research applications. Strong collaboration skills across ML Engineering, Product, and Clinical Ops, with high standards for scientific rigor balanced against delivery speed. Nice to have Experience in body composition, vascular imaging, organ segmentation, or lesion detection Familiarity with FDA 510(k) submission processes or predicate-based regulatory pathways Publications in top journals and conferences such as ISMRM, NeurIPS, MICCAI, ICML, RSNA, etc. Experience with interpretable AI and state-of-the-art AI methods Prior work in a health tech or clinical AI environment Our Values First: we are Pioneers Transforming healthcare requires divergent thinking, bias for action, disciplined experimentation, and consistent grit and determination to maintain momentum. This journey is as challenging as it is rewarding. Second: we are Platform-Builders We’re always building foundations that allow us to achieve tomorrow more than we did today. We never lose sight of what’s ahead – in a mindset of ownership and duty to our mission. Above all: we are Patients We could all be the next person who walks through our very doors, seeking clarity or peace of mind. We are proud of our impact on our patients’ lives, and we won’t stop till everyone can benefit from our work. What We Offer An avenue to make a positive impact on people's lives and their health We believe in preventative healthcare for everyone, including our team - Prenuvo provides free, whole-body scans to each team member Growth opportunities are at the heart of our people journey, we’re doing big things with bright minds - there is no single path to success, it can be shaped along the way Building strong relationships is at the core of everything we do - our team gets together each week to connect, share, and socialize Recognizing time away to restore is vital to our wellbeing - we have a flexible vacation policy and we will encourage you to use it We offer a comprehensive benefits package including health, dental, vision, including Mental Health coverage, to support you and your family Prenuvo offers eligible Canadian employees access to both RRSP and TFSA retirement savings plans, with immediate, optional enrollment and the flexibility to invest and save for the future on your own terms. While Prenuvo provides access to these plans, the company does not currently offer matching contributions. The base salary for this role ranges from $150,000-$177,000 CAD per year, depending upon experience and geographic location We are an equal-opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. As part of the hiring process, successful candidates will undergo a background check in compliance to applicable federal, provincial, and state rules. Please be advised that official communication from our recruitment team will only come from our authorized domain [prenuvo.com]. If you are contacted by a recruiter, please ensure their email address ends with @prenuvo.com. We do not use third-party recruitment services or any other email domains for hiring purposes. If you receive communication that you believe to be fraudulent, please report it immediately to jobs@prenuvo.com.", "summaryDescription" : "Senior AI Applied Scientist II at Prenuvo. Skills: Machine Learning, Data Engineering, Cloud Data Stacks, ML Frameworks. Develop and deploy machine learning models. Build and maintain data pipelines", "postedDate" : "2026-06-15T23:26:23.642", "createdAt" : "2026-06-15T23:26:23.642", "lastUpdated" : "2026-06-16T08:02:15.912", "ingestTimestamp" : "2026-06-15T23:26:23.642", "mongoId" : "6a30678df292fd229cfbf1c6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ "Data modeling", "Statistical analysis", "Machine learning", "Deep learning", "Data pipeline development", "ETL processes", "Data warehousing", "Cloud computing", "A/B testing", "Causal inference", "Machine Learning", "Data Engineering", "Cloud Data Stacks", "ML Frameworks", "Data engineering", "ML/AI", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Statistical methods", "Modelling skills", "Healthcare data", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Tableau", "Power BI", "Looker" ], "skillCount" : 29, "jobCategory" : 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characterization", "SPR", "BLI", "Octet" ], "softSkillsList" : [ "Mentoring" ], "hardSkills" : [ { "name" : "Antibody discovery", "level" : "intermediate" }, { "name" : "Antibody engineering", "level" : "intermediate" }, { "name" : "Functional assays", "level" : "intermediate" }, { "name" : "Biophysical characterization", "level" : "intermediate" }, { "name" : "SPR", "level" : "intermediate" }, { "name" : "BLI", "level" : "intermediate" }, { "name" : "Octet", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentoring" } ], "majorSkills" : "Biologics drug discovery, Antibody engineering, Machine learning", "majorSkillsList" : [ "Biologics drug discovery", "Antibody engineering", "Machine learning" ], "coreResponsibilities" : "Contribute to target assessment, Contribute to modality selection, Contribute to biologics discovery strategies, Design antibody molecules, Engineer antibody molecules, Optimise antibody molecules, Act as experienced scientist, Bring expertise in antibody discovery, Bring expertise in antibody engineering, Contribute to programme execution, Contribute to scientific decision-making, Translate biological insight, Design molecules, Engineer molecules, Optimise molecules, Design molecules with credible path, Engineer molecules with credible path, Optimise molecules with credible path, Act as technical voice, Partner with colleagues, Design molecules, Engineer molecules, Optimise molecules, Assess potency, Assess selectivity, Assess developability, Assess mechanism of action, Interpret complex datasets, Use data to drive molecule design, Use data to drive molecule optimisation, Maintain hands-on role, Partner with internal teams, Partner with external teams, Drive biologics programs end-to-end, Perform target validation, Perform hit identification, Perform lead characterization, Perform optimisation, Perform developability triage, Make modality decisions, Select molecule for target, Select molecule for indication, Design discovery packages, Oversee discovery packages, Combine cell-based assays, Combine biophysical characterization, Combine developability assessment, Drive candidate selection, Operate in matrixed environment, Partner with Computational Biology, Partner with Machine Learning, Partner with CMC, Partner with DMPK, Partner with Toxicology, Partner with Translational colleagues, De-risk candidates, Progress candidates toward IND-enabling studies, Partner with external collaborators, Partner with CROs, Contribute to study design, Contribute to data review, Contribute to scientific interpretation, Share expertise with colleagues, Contribute to scientific environment, Partner with ML teams, Partner with computational biology teams, Bring insight into predictive approaches, Bring insight into generative approaches, Apply predictive approaches to target selection, Apply generative approaches to target selection, Apply predictive approaches to molecule design, Apply generative approaches to molecule design, Apply predictive approaches to lead optimization, Apply generative approaches to lead optimization, Contribute to design of antibody molecules, Contribute to engineering of antibody molecules, Contribute to optimisation of antibody molecules, Use experimental data to guide decisions, Use experimental data to guide progression strategies, Contribute to scientific culture, Mentor junior scientists, Support publications, Support conference visibility, Shape scientific identity, Shape biologics group identity", "teamCollaboration" : "Interdisciplinary teams; Highly interdisciplinary teams; Matrixed pharmaiotech environment; Computational Biology; Machine Learning; CMC; DMPK; Toxicology; Translational colleagues; External collaborators; CROs; ML teams; Computational biology teams; Matrixed environment; Multiple stakeholders; Across teams; Across Drug Discovery; Across scientific domains; Across technical domains; Across operational domains; Multiple teams; Multiple projects; Shared company priorities; Diverse perspectives; Working relationships; Shared goals; Across teams", "domainKnowledge" : "Biologics drug discovery; Antibody discovery; Antibody engineering; Developability assessment; IND-enabling activities; Target Product Profiles; Antibodies; Bispecifics; ADCs; Fusion proteins; Fragments; Bone biology; Bone-microenvironment models; Osteoblast; Osteoclast; Mineral-binding assays; Resorption assays; TechBio; Computationally-driven discovery", "domainList" : [ "biologics-drug-discovery", "antibody-discovery", "antibody-engineering", "developability-assessment", "ind-enabling-activities", "target-product-profiles", "antibodies", "bispecifics", "adcs", "fusion-proteins", "fragments", "bone-biology", "bone-microenvironment-models", "osteoblast", "osteoclast", "mineral-binding-assays", "resorption-assays", "techbio", "computationally-driven-discovery" ], "domainSpecificKnowledge" : [ "Biologics drug discovery", "Antibody discovery", "Antibody engineering", "Developability assessment", "IND-enabling activities", "Target Product Profiles", "Antibodies", "Bispecifics", "ADCs", "Fusion proteins", "Fragments", "Bone biology", "Bone-microenvironment models", "Osteoblast", "Osteoclast", "Mineral-binding assays", "Resorption assays", "TechBio", "Computationally-driven discovery" ], "toolProficiency" : [ "SPRiacore", "BLI/Octet" ], "continuousLearning" : "Conference visibility", "problemSolvingSkills" : "Data-driven molecule optimisation", "qualificationsBasic" : "PhD in Molecular Biology, PhD in Immunology, PhD in Pharmacology, PhD in Cell Biology, PhD in Prot, Good understanding of biologics drug discovery end-to-end, Awareness of IND-enabling activities", "qualificationsPreferred" : "Familiarity with bone biology, Familiarity with bone-microenvironment models, Peer-reviewed publications, Prior experience mentoring junior scientists, Exposure to TechBio environment, Exposure to computationally-driven discovery environment", "remoteFriendly" : true, "workSiteFlexibility" : "Onsite", "rawDescription" : "ABOUT RELATION Relation is a sector defining TechBio company developing transformational medicines, with technology at our core. Our ambition is to understand human biology in unprecedented ways, discovering therapies to treat some of life’s most devastating diseases. We leverage single-cell multi-omics from patient tissue, functional assays, and machine learning to drive disease understanding, from cause to cure. We are scaling rapidly and building a team of exceptional individuals to push the boundaries of drug discovery. You will work in highly interdisciplinary teams where biology, computation, and engineering come together to solve complex problems that have not been solved before. Our state-of-the-art wet and dry labs in the heart of London are designed to accelerate this integration and translate insight into impact. We are committed to building diverse and inclusive teams. Relation is an equal opportunities employer and does not discriminate on the basis of gender, sexual orientation, marital or civil partnership status, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability, or age. By joining Relation, you will help define how medicines are discovered and deliver meaningful impact for patients. THE OPPORTUNITY Relation is offering an outstanding opportunity for an Senior Scientist, Biologics Drug Discovery to bring deep biologics drug discovery knowledge to our growing pipeline. You will contribute to target assessment, modality selection and biologics discovery strategies through deep technical expertise and hands-on scientific execution from early concept through to IND-enabling studies. As Relation grows its scientific and machine learning capabilities, you will act as a highly experienced scientist, bringing deep expertise in antibody discovery and engineering while contributing directly to programme execution and scientific decision-making, working alongside our computational, ML, and translational teams to translate biological insight into well-designed molecules with a credible path to the clinic. We are particularly interested in scientists who have personally designed, engineered and optimised antibody molecules, including experience with affinity maturation, CDR engineering, developability assessment and data-driven molecule optimisation. You will additionally be a key technical voice in pipeline decisions and a trusted partner to colleagues across Drug Discovery and beyond. DAY TO DAY, YOU WILL - Demonstrated hands-on experience designing, engineering and optimising antibody molecules, with a strong understanding of the experimental approaches used to assess potency, selectivity, developability and mechanism of action. - Ability to independently interpret complex datasets and use those data to drive molecule design and optimisation decisions. - Maintain a hands-on role in biologics discovery activities while partnering closely with internal and external teams. - Drive biologics programs end-to-end — from target validation and hit identification through lead characterization, optimization, and developability triage — against agreed Target Product Profiles (TPPs). - Make informed modality decisions across the biologics landscape (antibodies, bispecifics, ADCs, fusion proteins, fragments) and ensure the right molecule is selected for the right target and indication. - Design and oversee fit-for-purpose discovery packages, combining cell-based functional assays, biophysical characterization (SPR/Biacore, BLI/Octet), and developability assessment to drive sound candidate selection. - Operate effectively in a matrixed pharma/biotech environment, partnering with Computational Biology, Machine Learning, CMC, DMPK, Toxicology, and Translational colleagues to de-risk candidates and progress them toward IND-enabling studies. - Partner with external collaborators and CROs, contributing to study design, data review and scientific interpretation. - Share expertise with colleagues and contribute to a collaborative scientific environment. - Partner with our ML and computational biology teams to bring biologics drug discovery insight into how predictive and generative approaches are applied to target selection, molecule design, and lead optimization. - Personally contribute to the design, engineering and optimisation of antibody molecules, using experimental data to guide scientific decisions and progression strategies. - Contribute to Relation’s scientific culture by mentoring junior scientists in biologics drug discovery, supporting publications and conference visibility, and helping to shape the broader scientific identity of the biologics group. PROFESSIONALLY, YOU WILL HAVE - A PhD. in Molecular Biology, Immunology, Pharmacology, Cell Biology, Protein Engineering, or a related life-science discipline. - Hands-on drug discovery experience gained in a pharma or biotech setting, with a clear track record of contributing to biologics programs progressing through key discovery milestones (target validation, hit-to-lead, lead optimization, candidate selection). - Proven experience working in a matrixed pharma/biotech environment, partnering effectively across functions (e.g. CMC, DMPK, Toxicology, Computational/ML, Translational) and balancing multiple stakeholders. - Deep working knowledge of biologics drug discovery: how biology is translated into a molecule, how modalities are chosen, how discovery cascades are designed, and what data are needed at each stage to make sound progression decisions. - Familiarity with the biologics modality landscape (antibodies, bispecifics, ADCs, fusion proteins, fragments) and an informed view of when each modality is the right tool for the biology. - Hands-on experience with the data types that drive biologics drug discovery decisions, including cell-based functional and screening assays and biophysical characterization (SPR/Biacore, BLI/Octet). - Working experience of CRO management across biologics drug discovery activities (e.g. molecule production, in vitro pharmacology, in vivo studies). - A good understanding of biologics drug discovery end-to-end, including TPP-driven decision-making, developability considerations, and awareness of what is required to support IND-enabling activities. - Curiosity about how ML and computational approaches can complement traditional biologics discovery workflows, and an interest in shaping how those tools are deployed. Bonus experience: - Familiarity with bone biology and bone-microenvironment models (osteoblast, osteoclast, osteocyte; mineral-binding or resorption assays). - Peer-reviewed publications in the biologics drug discovery space, prior experience mentoring junior scientists, and exposure to a TechBio or computationally-driven discovery environment are also welcome. PERSONALLY, YOU: - Are comfortable working in a matrixed environment, balancing multiple stakeholders and contributing effectively across teams. - Take ownership of your work, proactively seek opportunities to contribute, and enable others to do their best work. - Communicate openly and directly, give and receive feedback constructively, and handle challenging conversations with respect. - Actively seek out diverse perspectives, build strong working relationships, and contribute to shared goals across teams. - Embrace challenges with openness and resilience, set high standards for yourself, and strive to deliver meaningful outcomes. WORKING STYLE & CULTURE AT RELATION At Relation, we operate in a matrixed, interdisciplinary environment, where impact is driven through collaboration across scientific, technical, and operational domains. We collaborate, and you will partner with colleagues across multiple teams and projects, contributing your expertise while aligning to shared company priorities. We work together and win together! The patient is waiting! RECRUITMENT AGENCIES Please note that Relation does not accept unsolicited resumes from agencies. Resumes should not be forwarded to our job aliases or employees. Relation will not be liable for any fees associated with unsolicited CVs. Relation is a committed equal opportunities employer.", "summaryDescription" : "Senior Scientist, Biologics Drug Discovery at Relation. Skills: Biologics drug discovery, Antibody engineering, Machine learning. Contribute to target assessment. Contribute to modality selection", "createdAt" : "2026-06-16T00:28:21.999", "lastUpdated" : "2026-06-16T08:47:15.704", "ingestTimestamp" : "2026-06-16T00:28:21.999", "mongoId" : "6a307525f292fd229c00c92f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Antibody discovery", "Antibody engineering", "Functional assays", "Biophysical characterization", "SPR", "BLI", "Octet", "Mentoring", "Biologics drug discovery", "Machine learning", "Drug discovery", "Molecule design", "Affinity maturation", "CDR engineering", "Developability assessment", "Molecule optimisation", "Target validation", "Hit identification", "Lead characterization", "Candidate selection", "Biologics discovery", "Scientific decision-making", "Data interpretation", "Experimental execution", "Study design", "Data review", "Scientific interpretation", "Pipeline decisions", "IND-enabling activities", "Target Product Profiles", "Antibodies", "Bispecifics", "ADCs", "Fusion proteins", "Fragments", "Bone biology", "Bone-microenvironment models", "Osteoblast", "Osteoclast", "Mineral-binding assays", "Resorption assays", "TechBio", "Computationally-driven discovery", "SPRiacore", "BLI/Octet" ], "skillCount" : 45, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 484.51422, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c959b74d8ee00a098d78f", "title" : "Senior Data Scientist", "company" : "Moment Energy", "industry" : "Climate Tech", "salary" : { "min" : 115000.0, "max" : 165000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Data Scientist in Coquitlam, Canada, adjusted for seniority and the climate tech industry." }, "location" : "Coquitlam, British Columbia, Canada", "locations" : [ "Coquitlam", "British Columbia", "Canada" ], "timestamp" : "2026-06-15T08:42:33.852", "fingerprint" : "608edfe7d61ff7c2d4ed87656d1d9e9aff806057f7c2970bc8a8880c1a80e625", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/momentenergy/jobs/4251588009", "externalId" : "4251588009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Coquitlam", "state" : "British Columbia", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "49.2842958,-122.7932810" } ], "locationText" : "Coquitlam, British Columbia, Canada", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "domainKnowledge" : "Energy storage; Battery performance; Cell aging; Cell degradation; Battery efficiency; Battery safety; Battery lifespan", "domainList" : [ "energy-storage", "battery-performance", "cell-aging", "cell-degradation", "battery-efficiency", "battery-safety", "battery-lifespan" ], "domainSpecificKnowledge" : [ "Energy storage", "Battery performance", "Cell aging", "Cell degradation", "Battery efficiency", "Battery safety", "Battery lifespan" ], "communicationSkills" : "Presentation skills; Explain technical concepts", "innovationCreativity" : "Develop innovative solutions", "problemSolvingSkills" : "Solve real-world problems", "remoteFriendly" : false, "rawDescription" : "About Moment Energy Independent energy is here. Help us deploy it. Energy should be free. Free from aging grids, fragile supply chains, and unnecessary extraction. At Moment Energy, we’re building a world where clean power is abundant, affordable, and uninterrupted for everyone. The world doesn’t need another promise about energy; it needs proof that a freer future is possible. Moment Energy is the pragmatic liberator of power, the only company certified to turn the largest untapped energy supply into independent energy. Now is the moment. While the industry scraps millions of batteries with decades of life left, we put them to work by repurposing large-format batteries into advanced battery energy storage systems that deliver real-world impact. We were told second-life batteries would never be safe enough or scalable enough. We didn’t argue, we engineered the solution. Today, Moment Energy delivers 5x the energy density and holds the certifications required to deploy energy independence at scale. Now is the moment. Join us. The Opportunity We are seeking an experienced and passionate Senior Data Scientist to join our growing team and play a critical role in shaping the future of energy storage. In this role, you will leverage your expertise in data analysis, machine learning, and statistical modeling to extract valuable insights from our diverse datasets and drive innovation across our operations. You will work closely with our engineers, product managers, and business development teams to optimize battery performance, develop predictive models, and support data-driven decision-making. Responsibilities and Duties Collect, clean, and analyze large datasets from various sources, including battery management systems, sensor networks, and external databases. Develop and apply machine learning algorithms and statistical models to predict battery performance, cell aging and degradation, optimize charging strategies, and identify potential failures. Contribute to battery data collection strategies for in-field deployments and lab tests. Design and develop machine learning architecture and full data flow pipeline. Design and implement data visualization dashboards to communicate key insights and trends to stakeholders across the organization. Collaborate with engineers to develop data-driven solutions for improving battery efficiency, safety, and lifespan. Conduct research on the latest advancements in data science and machine learning, particularly in the energy storage domain. Contribute to the development of Moment Energy's data infrastructure and analytics capabilities. Support data-driven decision-making across various departments, including product development, business development, and operations. The Candidate We’re looking for individuals with the following traits, skills, and experiences: Bachelor’s Degree or higher. in Data Science, Computer Science, Statistics, or a related field. 7+ years of experience as a Data Scientist, with a proven track record of applying machine learning to solve real-world problems. Strong programming skills in Python, with experience in data manipulation, analysis, and visualization libraries. Proficiency in machine learning algorithms and frameworks (e.g., scikit-learn, TensorFlow, PyTorch). Experience with data visualization tools (e.g., Tableau, Power BI). Excellent communication and presentation skills, with the ability to explain complex technical concepts to a non-technical audience. Passion for clean energy and a desire to contribute to a sustainable future. Why join us? Today, we’re delivering 5x the energy density and have all the certifications needed to ship energy independence to the world. Be part of a mission-driven company focused on creating sustainable energy solutions and making a positive impact on the world. Collaborate closely with passionate co-founders and a team committed to innovation and excellence. Contribute to building and scaling a company from the ground up, where your work will have a direct and meaningful impact. Thrive in a workplace that values collaboration, wellness, and celebrating successes, with regular company socials, fitness sessions, and more. We're a fast-paced and dynamic team. Every day you'll be taking on a new challenge and learning something new. You'll take on a wide breadth of tasks and contribute to disrupting the battery industry. You'll be part of a tight-knit team that is working together to save the planet! Fun, health, and wellness are incorporated into our daily schedule and we encourage all our team members to bring innovative ideas to the table to create an interactive workplace. Moment Energy Benefits Highlights (full time, permanent employees only) Financial Growth: Employee equity and a robust RRSP matching program. Comprehensive Health Coverage: Extended health, dental, and vision benefits for you and your dependents through Manulife. Generous Time Off & Flexibility: Paid time off plus a paid company closure between Christmas and New Year's, with a generous paid sick leave. Vibrant Culture & Perks: Open and collaborative office culture, frequent company socials and wellness programs (weekly yoga/fitness), and free EV charging on-site. Company Dinner: Weekly Tuesday dinner provided by Moment Energy. We also have a generous supply of coffee and snacks for the office! Our Commitments Moment Energy is an equal-opportunity employer. We are committed to inclusive, barrier-free recruitment and selection processes, including our work environment. We especially welcome applications from Indigenous peoples, members of racialized communities, persons with disabilities, women, and persons who identify as 2SLGBTQ+. —--- Our Values Our values are key to how we show up every day at Moment Energy! We keep them in the forefront of what we do, and they’re used everywhere. We refer to them when we have tough decisions to make, we give shoutouts based on living out these values, and we include them as part of our performance reviews. We have 5 core values and 1 foundational pillar (Safety is our Foundation) which lays the groundwork for everything we do. Safety is our Foundation We prioritize the safety of our products, customers, employees, and the general public above all else. From the workshop to the field, we maintain the highest standards for our batteries in testing manufacturing and deployment, and daily operations. Safety is not only about procedures—it is about vigilance, responsibility, and speaking up when something does not feel right. Safety is everyone's responsibility. We follow safety protocols, use proper equipment, and continuously improve our systems to prevent risks before they occur. If something is unsafe, we stop work and address it. Safety also means protecting our colleagues, customers, and communities by designing reliable products, maintaining safe workspaces, and ensuring our work is done carefully and responsibly. We’re Building a Greener Future Together: We infuse passion for our cleantech mission into every aspect of our work and incorporate fun into the workplace. We motivate one another, celebrate our successes and embrace eco-friendly practices to reduce our carbon footprint. We Prioritize our Customer’s Needs: We place our customers at the core of everything we do, ensuring that every decision considers their needs and aims to provide increased value to them. We provide reliable support for our customers, every step of the way. We’re Open, Honest and Accountable: We prioritize open and honest communication to foster mutual understanding, strengthen knowledge sharing, and reduce miscommunication within the team. We admit when we’ve made a mistake, and remedy our actions. We transparently communicate outcomes whether good, bad, or unexpected. We Think and Act like Owners: We’re self-starters that proactively embrace new challenges along with personal and collective ownership of responsibilities in the organization. We focus on growth, not titles, and we do what needs to be done. We Treat Everyone with Respect: We actively listen, share openly, and work together towards common goals. We treat one another with mutual respect to cultivate an inclusive environment where everyone feels accepted, supported, and heard. We keep an open mind and are willing to learn.", "summaryDescription" : "Senior Data Scientist at Moment Energy", "postedDate" : "2026-06-14T08:36:59.947", "createdAt" : "2026-06-14T08:36:59.947", "lastUpdated" : "2026-06-15T08:42:33.852", "ingestTimestamp" : "2026-06-14T08:36:59.947", "mongoId" : "6a2c959b74d8ee00a098d78f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Energy storage", "Battery performance", "Cell aging", "Cell degradation", "Battery efficiency", "Battery safety", "Battery lifespan" ], "skillCount" : 7, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 484.16602, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Climate Tech", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c7c1774d8ee00a094c391", "title" : "Senior Data Scientist", "company" : "Constellation Software, Inc.", "industry" : "Technology", "salary" : { "min" : 170000.0, "max" : 200000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, United States", "locations" : [ "New York", "New York", "United States" ], "timestamp" : "2026-06-15T07:00:44.982", "fingerprint" : "c65639f84685a9dbbb5f7b7c52d39b73d1b88e76c46d1b214ed382eeac98d427", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/constellationsoftwareinc/jobs/4688852006", "externalId" : "4688852006", "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" : "Python, Pandas, NumPy, Scikit-learn, PyTorch, TensorFlow, Hugging Face, LangChain, SQL, Snowflake, BigQuery, Redshift, AWS, Lambda, SageMaker, EC2, Batch, S3, Spark, MLflow, Generative AI, Recommendation systems, Autonomous agents, LLMs, Probabilistic programming", "professionalSkills" : [ "AI Initiatives", "Agentic AI", "ML Stack", "Applied Research" ], "hardSkillsList" : [ "ML engineering", "Applied AI", "Data modeling", "ETL", "Data pipelines", "Model lifecycle management", "Experiment tracking", "Transformers", "Retrieval-augmented generation" ], "softSkillsList" : [ "Mentoring", "Inclusivity" ], "hardSkills" : [ { "name" : "ML engineering", "level" : "intermediate" }, { "name" : "Applied AI", "level" : "intermediate" }, { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "ETL", "level" : "intermediate" }, { "name" : "Data pipelines", "level" : "intermediate" }, { "name" : "Model lifecycle management", "level" : "intermediate" }, { "name" : "Experiment tracking", "level" : "intermediate" }, { "name" : "Transformers", "level" : "intermediate" }, { "name" : "Retrieval-augmented generation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentoring" }, { "name" : "Inclusivity" } ], "majorSkills" : "Machine Learning, Generative AI, Autonomous Agents, LLMs", "majorSkillsList" : [ "Machine Learning", "Generative AI", "Autonomous Agents", "LLMs" ], "coreResponsibilities" : "Architect ML models, Prototype ML models, Productionize ML models, Build agent-based systems, Coach junior data scientists, Coach mid-level data scientists, Review code, Drive standards, Shape culture, Integrate intelligent systems, Develop models for LTV, Develop models for churn, Develop models for content efficacy, Develop models for user engagement, Develop models for pricing optimizations, Contribute to architecture decisions, Stay on top of advances, Bring innovations to production", "teamCollaboration" : "Collaborate Cross-Functionally; Work closely with Product; Work closely with Engineering; Work closely with Design; Work closely with GTM teams", "domainKnowledge" : "Marketing analytics; Medical devices; Vehicle inventory intelligence; Regulatory content; Automotive data; Life sciences data", "domainList" : [ "marketing-analytics", "medical-devices", "vehicle-inventory-intelligence", "regulatory-content", "automotive-data", "life-sciences-data" ], "domainSpecificKnowledge" : [ "Marketing analytics", "Medical devices", "Vehicle inventory intelligence", "Regulatory content", "Automotive data", "Life sciences data" ], "toolProficiency" : [ "MLflow", "SageMaker", "Vertex AI", "Airflow", "LangChain", "Looker", "Tableau" ], "communicationSkills" : "Mentorship skills", "qualificationsBasic" : "8+ years of experience, Deep experience with Python, Command of SQL, Experience building systems using AWS", "qualificationsPreferred" : "PhD preferred, Experience with probabilistic modeling, Familiarity with graph databases, Prior exposure to recommendation engines, Experience with deploying and evaluating LLMs, Exposure to Looker, Tableau", "remoteFriendly" : false, "workSiteFlexibility" : "Hybrid", "rawDescription" : "About Constellation: Constellation is a cutting-edge AI solution that empowers highly regulated and complex industries with the insights and content they need to fuel their business. Specializing in industries such as healthcare, automotive, insurance, and finance, our powerful data/AI insights tools inform the creation of compliant content at scale. We enable our customers to harness their data and streamline the creation of localized, personalized content. A global, NYC-based company, Constellation has been revolutionizing marketing technology and data intelligence in order to drive exponential growth since its founding in 2016. Constellation was named the 65th Fastest-Growing Private Company in America, the 10th Fastest-Growing Women-Owned Private Company, and the 7th Fastest-Growing Marketing & Advertising Company by Inc 500. In 2022, our platform won the Digiday Technology Award for Best Marketing Automation Platform. About The Role We're looking for a Senior Data Scientist to take a leading role in building the AI that powers Constellation. You'll ship production models—generative AI, autonomous agents, and predictive models for churn, LTV, and pricing— while mentoring a growing team and shaping our technical standards. If you want your work to reach real users in regulated industries like automotive and life sciences (not sit in a notebook), this is that role. What You’ll Do Lead AI/ML Initiatives: Architect, prototype, and productionize ML models, including generative AI, recommendation systems, and domain-specific agents tailored to marketing, regulatory compliance, and creative workflows. Drive Agentic AI Capabilities: Build agent-based systems that reason, retrieve, validate, and act autonomously, supporting prompt chaining, tool usage, and evaluation feedback loops. Mentor & Scale the Team: Coach junior and mid-level data scientists and engineers, review code, drive standards, and help shape a culture of high performance, curiosity, and inclusivity. Collaborate Cross-Functionally: Work closely with Product, Engineering, Design, and GTM teams to integrate intelligent systems into customer-facing features and internal tooling. Model Business-Critical Outcomes: Develop models for customer LTV, churn, content efficacy, user engagement, and pricing optimizations, leveraging both structured and unstructured data. Own the ML Stack: Contribute to architecture decisions on model lifecycle management, pipelines, monitoring, and experiment tracking using modern tooling like MLflow, SageMaker, or Vertex AI. Drive Applied Research: Stay on top of advances in transformers, large language models, retrieval-augmented generation, and probabilistic programming—and bring these innovations to production. What We’re Looking For 8+ years of experience in data science, ML engineering, or applied AI, with a track record of shipping models in production. Deep experience with Python (Pandas, NumPy, Scikit-learn) and modern ML/DL libraries (PyTorch, TensorFlow, Hugging Face, LangChain). Strong command of SQL and data modeling in cloud warehouses (e.g., Snowflake, BigQuery, Redshift). Experience building systems using AWS (Lambda, SageMaker, EC2, Batch, S3) or similar cloud platforms. Solid understanding of ETL/data pipelines and orchestration tools (e.g., Airflow). Experience with agent-based architectures, LLMs, and real-world generative AI applications (NLP, content synthesis, summarization, retrieval). Familiarity with automotive or life sciences data domains is a strong plus—whether in marketing analytics, medical devices, vehicle inventory intelligence, or regulatory content. Outstanding communication and mentorship skills, with a collaborative mindset and a passion for helping others grow. Bonus Experience Experience with probabilistic modeling (e.g., PyMC3, Stan). Familiarity with graph databases (e.g., Neo4j) and modeling network effects. Prior exposure to recommendation engines, survival models, or multi-touch attribution. Experience with deploying and evaluating LLMs, retrieval pipelines, or autonomous AI agents in production. Exposure to Looker, Tableau, or similar BI platforms. Why Constellation? Work on real-world AI systems that impact regulated, high-stakes industries. Collaborate with a team of ambitious, principled builders who care about quality, ethics, and impact. Join a design-forward organization with strong product leadership and a rapidly growing client base. Enjoy flexibility, autonomy, and opportunities to lead across the stack. Compensation NY Pay Range: $170,000 – $200,000 Final package commensurate with experience. Includes base salary, equity options, and benefits. Constellation is committed to diversity, inclusion, and equal opportunity. If you require accommodation during the interview process, please let us know. #LI-Hybrid", "summaryDescription" : "Senior Data Scientist at Constellation Software, Inc.. Skills: Machine Learning, Generative AI, Autonomous Agents, LLMs. Architect ML models. Prototype ML models", "postedDate" : "2026-06-14T08:58:21.863", "createdAt" : "2026-06-14T08:58:21.863", "lastUpdated" : "2026-06-15T07:00:44.982", "ingestTimestamp" : "2026-06-14T08:58:21.863", "mongoId" : "6a2c7c1774d8ee00a094c391", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 170000, "salaryAnnualMax" : 200000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "ML engineering", "Applied AI", "Data modeling", "ETL", "Data pipelines", "Model lifecycle management", "Experiment tracking", "Transformers", "Retrieval-augmented generation", "Mentoring", "Inclusivity", "Machine Learning", "Generative AI", "Autonomous Agents", "LLMs", "AI Initiatives", "Agentic AI", "ML Stack", "Applied Research", "Marketing analytics", "Medical devices", "Vehicle inventory intelligence", "Regulatory content", "Automotive data", "Life sciences data", "MLflow", "SageMaker", "Vertex AI", "Airflow", "LangChain", "Looker", "Tableau" ], "skillCount" : 32, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 483.3879, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2ca11b74d8ee00a09a44ea", "title" : "Senior AI Scientist/Lead AI Scientist", "company" : "Owkin", "industry" : "BIOMEDICAL", "salary" : { "min" : 105000.0, "max" : 165000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Lead AI Scientist in the Biotech industry in the UK, adjusted for seniority and company size." }, "location" : "UK", "locations" : [ "UK", "Paris ", "Germany" ], "timestamp" : "2026-06-15T13:32:30.134", "fingerprint" : "c6a09c3e14def612c3a9835628483ca9e933e59f8001e2591f0ae364c1a1c9db", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/owkin/ca1a3d15-8e59-4a6d-8256-20a01c6ec715/application", "externalId" : "ca1a3d15-8e59-4a6d-8256-20a01c6ec715", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United Kingdom", "continent" : "eu", "workMode" : "onsite" } ], "locationText" : "United Kingdom", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, LLM reasoning, Tool-augmented generation, Agentic AI", "professionalSkills" : [ "Scientific Leadership", "Systems Engineering" ], "hardSkillsList" : [ "Agentic Systems", "Multi-step reasoning", "Tool-use", "Self-correction", "Hypothesis proposal", "Experiment design", "Rapid prototyping", "Iterative development", "Research publication", "Causal discovery", "Bayesian Optimization", "Active Learning", "Optimal Experimental Design" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Agentic Systems", "level" : "intermediate" }, { "name" : "Multi-step reasoning", "level" : "intermediate" }, { "name" : "Tool-use", "level" : "intermediate" }, { "name" : "Self-correction", "level" : "intermediate" }, { "name" : "Hypothesis proposal", "level" : "intermediate" }, { "name" : "Experiment design", "level" : "intermediate" }, { "name" : "Rapid prototyping", "level" : "intermediate" }, { "name" : "Iterative development", "level" : "intermediate" }, { "name" : "Research publication", "level" : "intermediate" }, { "name" : "Causal discovery", "level" : "intermediate" }, { "name" : "Bayesian Optimization", "level" : "intermediate" }, { "name" : "Active Learning", "level" : "intermediate" }, { "name" : "Optimal Experimental Design", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Agentic AI, LLM reasoning, Biology, Drug discovery", "majorSkillsList" : [ "Agentic AI", "LLM reasoning", "Biology", "Drug discovery" ], "coreResponsibilities" : "Architect Agentic Systems, Design AI agents, Implement AI agents, Bridge AI and Wet-Lab, Develop frameworks, Propose hypotheses, Design experiments, Scale the Hacker Approach, Rapidly prototype architectures, Iterate on architectures, Publish high-impact research", "teamCollaboration" : "AI peers; Biological experts", "domainKnowledge" : "Biology; Drug discovery; Central dogma; Sequencing data; Macromolecular structures; Response to treatment", "domainList" : [ "biology", "drug-discovery", "central-dogma", "sequencing-data", "macromolecular-structures", "response-to-treatment" ], "domainSpecificKnowledge" : [ "Biology", "Drug discovery", "Central dogma", "Sequencing data", "Macromolecular structures", "Response to treatment" ], "communicationSkills" : "Explain complex behaviors", "innovationCreativity" : "Hacker spirit", "problemSolvingSkills" : "Reasoning", "outcomesObjectives" : "Drive therapeutic breakthroughs; Discover next generation therapeutics", "qualificationsBasic" : "Expert Python skills, Publication record, PhD in Computer Science, Excellent written communication, Excellent oral communication, Fluent in English", "qualificationsPreferred" : "Computational Biology expertise, Chemistry expertise, Deep understanding of data stack, Experience in Active Learning, Experience in Bayesian Optimization, Experience in Optimal Experimental Design, Experience training large-scale models, Experience managing multi-agent orchestrations, Experience in Causal Inference, Experience in causal discovery", "remoteFriendly" : true, "rawDescription" : "ABOUT US Owkin is an AI company on a mission to solve the complexity of biology. It is building the first Biology Super Intelligence (BASI) by combining powerful biological large language models, multimodal patient data, and agentic software. At the heart of this system is Owkin K, an AI copilot and its new LLM fine-tuned on biology called Owkin Zero, used by researchers, clinicians, and drug developers to better understand biology, validate scientific hypotheses, and deliver better diagnostics and therapies faster. Please submit your CV in English ABOUT THE ROLE: We are looking for a visionary ML/AI Scientist to lead the development of our AI Scientist—an autonomous agentic system designed to navigate the complexities of drug discovery. This role isn't just about training models; it's about building \"scientists in a box\" that can reason over biological data, design experiments, and autonomously drive therapeutic breakthroughs. Unlike traditional ML roles that focus on single-task optimization, you will be building a meta-researcher. You’ll be at the heart of Owkin’s mission, creating the engine that will discover the next generation of life-saving therapeutics. IN PARTICULAR, YOU WILL: - Architect Agentic Systems: Design and implement sophisticated AI agents capable of multi-step reasoning, tool-use, and self-correction. - Bridge AI and Wet-Lab: Develop frameworks where agents can propose hypotheses and design \"optimal experiments\" to be validated in the lab. - Scale the \"Hacker\" Approach: Rapidly prototype and iterate on agentic architectures, moving from paper to production-grade code with speed and precision. - Scientific Leadership: Maintain a watch on the frontier of GenAI and Agentic workflows, publishing high-impact research at the intersection of AI, Biology and Chemistry. ABOUT YOU The successful candidate possesses a \"hacker spirit\"—you don’t just wait for the perfect dataset; you build the tools to find it. You are independent, deeply curious, and obsessed with the idea of automating the scientific method. Core Requirements: - Demonstrated Expertise in Agentic AI: Deep understanding of LLM reasoning (Chain-of-Thought, ReAct), long-context management, and tool-augmented generation. - The Hacker Toolkit: Expert-level Python skills with a focus on \"building.\" You should be comfortable writing clean, modular code that interfaces with complex APIs and databases. - Publication Record: History of contributions to top-tier ML conferences (NeurIPS, ICML, ICLR). - Technical Foundation: PhD in Computer Science, Machine Learning, or Applied Mathematics (or equivalent high-level industry experience). - Communication: Ability to explain complex agent behaviors to both AI peers and biological experts. Excellent written and oral communication skills. Fluent in English (French is a plus). - Team first, highly collaborative mindset. Preferred Qualifications (The \"Big Plus\") We are especially interested in candidates who bring Computational Biology or Chemistry expertise to the table. - Domain Knowledge: Deep understanding of the \"central dogma\" data stack—from processing raw sequencing (omics) to interpreting the physics and geometry of macromolecular structures - Closed-loop Discovery: Experience in Active Learning, Bayesian Optimization, or Optimal Experimental Design. - Systems Engineering: Experience training and deploying large-scale models or managing complex multi-agent orchestrations. - Causal Inference: Experience in understanding \"response to treatment\" or causal discovery in biological systems. - Industry Impact: Proven track record of taking a research concept and turning it into a functional tool used by other scientists. Ref: #LI-HB1 WHAT WE OFFER - Flexible work organization - Friendly and informal working environment - Opportunity to work with an international team with high technical and scientific backgrounds RECRUITMENT PROCESS & SECURITY - Please complete the form and submit your CV. - Owkin is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, sex, gender, sexual orientation, age, color, religion, national origin, protected veteran status or on the basis of disability. - Owkin is a great place to work. As a coveted workplace we are, unfortunately, vulnerable to recruitment phishing scams. We urge all job seekers and candidates to be wary of potential scams. Most of these have individuals posing as representatives of prominent companies, including Owkin, with the aim of obtaining personal, sensitive, or financial information from applicants. These scams prey upon an individual’s desire to obtain a job and can sometimes “feel” like a genuine recruitment process. Some red flags are identified below. Should you encounter a recruitment process that claims to be for Owkin but is not consistent with the below, please do not provide any personal or financial information: - Legitimate Owkin recruitment processes include communication with candidates through recognized professional networks, such as LinkedIn. - Communication is always through an official Owkin email address (from the @owkin.com http://owkin.com domain), over the phone or through our applicant tracking system (Greenhouse). - The Owkin talent team do use platforms such as LinkedIn and Job Teaser, however if you have any concern or doubt about this contact, please ask for them to send an email from @Owkin.com http://Owkin.com. - The Owkin talent team will not solicit personal data from candidates during the application phase including, but not limited to, date of birth, social security numbers, or bank account information; - Legitimate Owkin interviews may be conducted over the phone, in person, or via an approved enterprise videoconferencing service (Google Meets). They will not occur via Signal, Telegram or Messenger - Owkin offers of employment are based on merit and only extended once a candidate has interviewed with members of the talent and hiring team. Offers will be extended both verbally and in written format. If you think that you have been a victim of fraud, - Check the identity of the talent team on LinkedIn - Check our senior team on our website https://owkin.com/team/ - Check the existence of the position on our website: https://www.owkin.com/careers#current-opportunities - Notify Owkin's recruitment unit at this address hiring@owkin.com - contact the following authorities: - [FR] https://internet-signalement.gouv.fr/ - [UK] https://www.actionfraud.police.uk/reporting-fraud-and-cyber-crime - [US] https://reportfraud.ftc.gov/", "summaryDescription" : "Senior AI Scientist/Lead AI Scientist at Owkin. Skills: Agentic AI, LLM reasoning, Biology, Drug discovery. Architect Agentic Systems. Design AI agents", "createdAt" : "2026-06-14T09:16:16.845", "lastUpdated" : "2026-06-15T13:32:30.134", "ingestTimestamp" : "2026-06-14T09:16:16.845", "mongoId" : "6a2ca11b74d8ee00a09a44ea", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Agentic Systems", "Multi-step reasoning", "Tool-use", "Self-correction", "Hypothesis proposal", "Experiment design", "Rapid prototyping", "Iterative development", "Research publication", "Causal discovery", "Bayesian Optimization", "Active Learning", "Optimal Experimental Design", "Leadership", "Agentic AI", "LLM reasoning", "Biology", "Drug discovery", "Scientific Leadership", "Systems Engineering", "Central dogma", "Sequencing data", "Macromolecular structures", "Response to treatment" ], "skillCount" : 24, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Lead", "dataQualityScore" : 0.8888889, "_score" : 472.07108, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c8d6b74d8ee00a0978e55", "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" : "2026-06-15T10:36:18.801", "fingerprint" : "e96c7b059e01644639b11ac4aaad4f55cc6ad8fe1bab6d1b23a2452eb66ce1da", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/jerry.ai/2d5b1c4b-d023-4829-94a4-9f65edee4561/application", "externalId" : "2d5b1c4b-d023-4829-94a4-9f65edee4561", "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", "Statistical analysis", "Experiment design" ], "softSkillsList" : [ "First principles thinker", "Direct communicator", "Owner" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Experiment design", "level" : "intermediate" } ], "softSkills" : [ { "name" : "First principles thinker" }, { "name" : "Direct communicator" }, { "name" : "Owner" } ], "teamCollaboration" : "Embedded in business unit; Counterparts in product; Counterparts in growth; Counterparts in finance; Counterparts in operations", "domainKnowledge" : "Data science; Data engineering; ML/AI; Business intelligence; Analytics engineering; Quantitative analysis", "domainList" : [ "data-science", "data-engineering", "ml-ai", "business-intelligence", "analytics-engineering", "quantitative-analysis" ], "domainSpecificKnowledge" : [ "Data science", "Data engineering", "ML/AI", "Business intelligence", "Analytics engineering", "Quantitative analysis" ], "toolProficiency" : [ "SQL", "Clickhouse", "Metabase", "Python", "Jupyter Hub", "GitHub" ], "communicationSkills" : "Direct communicator; Write clearly; Speak precisely", "problemSolvingSkills" : "First principles thinker; Break ambiguous problems into hypotheses", "qualificationsBasic" : "4+ years of experience, Analytical ability to pull data, Analytical ability to structure data, Analytical ability to interpret data, Own ambiguous analytical problems, Drive analytical problems to business outcome, Clear communicator, Persuasive communicator, Influence leadership decisions", "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, a repair marketplace, and home. 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 MBB 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 driving 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 adding a few new members 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 here 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. You 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 product or 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 analytical problems and driving them to a business outcome. - 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" : "2026-06-14T03:12:13.859", "lastUpdated" : "2026-06-15T10:36:18.801", "ingestTimestamp" : "2026-06-14T03:12:13.859", "mongoId" : "6a2c8d6b74d8ee00a0978e55", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 150000, "salaryAnnualMax" : 170000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Data analysis", "Statistical analysis", "Experiment design", "First principles thinker", "Direct communicator", "Owner", "First principles thinking", "Analytical ability", "Problem solving", "Data science", "Data engineering", "ML/AI", "Business intelligence", "Analytics engineering", "Quantitative analysis", "SQL", "Clickhouse", "Metabase", "Python", "Jupyter Hub", "GitHub" ], "skillCount" : 21, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 469.13177, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a30a1e0f292fd229c116c59", "title" : "Senior/Staff Data Scientist, Product Analytics", "company" : "Gallup", "salary" : { "min" : 135000.0, "max" : 180000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Omaha Riverfront", "locations" : [ "Omaha Riverfront" ], "timestamp" : "2026-06-16T14:10:48.359", "fingerprint" : "df4fb5183ce8d7b287b382fa0a23ef9977e48b1a697c4d21cef67c000c54c25a", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/gallup/jobs/4156860009", "externalId" : "4156860009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Omaha", "state" : "Nebraska", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "41.2587459,-95.9383758" } ], "locationText" : "Omaha, Nebraska, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "rawDescription" : "Shape product road maps and strategies with data-driven analytics and insights. As a senior/staff data scientist focused on product analytics for our Technology team, you’ll work with product managers, engineers and designers to define success, validate hypotheses, and measure user behavior and product performance. We’re looking for self-driven, curious analytics partners who thrive in ambiguity, learn continually and help teams accelerate decision-making. At Gallup, our analytics reflect what the world is thinking, empower millions of people to thrive using their strengths, and help leaders create exceptional workplaces. If you want your work to influence products that bring that mission to life, we’d love to hear from you. What You’ll Do Partner with product teams early in discovery, road map discussions and launch planning to turn goals into measurable outcomes Define and govern success metrics by building trusted metric definitions, dashboards and data models that enable self-serve decision-making Design and evaluate product experiments and analyses to assess the impact of new features, onboarding changes and product improvements Serve as a thought partner to product managers by pressure-testing hypotheses before implementation and confirming whether outcomes match expectations after launch Translate analysis into action by communicating what happened; why it happened; and what stakeholders, leaders and partners should do next Improve analytics readiness by partnering with data platform and engineering teams on instrumentation, extraction, processing and modeling to ensure reliable, analysis-ready data Scale product analytics at Gallup by contributing to best practices, frameworks and repeatable ways of working What Makes You Stand Out Proactive problem-solving: You anticipate issues and opportunities in the data, translate analysis into action, and rapidly drive improvements to the user experience. Persistent resourcefulness: You independently create clarity from ambiguity, connecting distributed data, validating quality and delivering insights without relying on fully defined systems. Trusted product partnership: You collaborate closely with product, engineering, design, research and operations teams to solve complex problems, and confidently deliver constructive, data-backed recommendations. Experimentation judgment: You know when A/B tests are feasible and when they aren’t, and you can choose rigorous alternatives to answer product questions. Expert data storytelling: You explain trends, uncertainty and limitations in plain language and deliver recommendations people can act on. Curious culture-builder: You experiment with emerging tools, including AI, to improve team effectiveness and actively build data fluency so partners can confidently navigate metrics and insights. What You Need Bachelor’s degree in computer science, computer engineering, mathematics, statistics or a related field, or equivalent experience, required At least five years of experience in product analytics or data science required; eight or more years of experience preferred At least five years of experience with SQL for analysis in modern data environments required At least five years of experience with Python and data science tool kits (e.g., pandas) required Experience leading data-driven projects end to end, including defining metrics, designing experiments/analyses and communicating actionable insights required Strong statistical intuition, analytical rigor, and experience validating data and performing quality checks required High fluency with MPP databases such as Snowflake or Redshift required Some data engineering or instrumentation experience (pipelines, event tracking, modeling) preferred A commitment to working on-site at Gallup’s Omaha office at least three days per week required About Gallup At Gallup, we change the world, one client at a time, through extraordinary analytics and advice on everything important facing humankind. Learn more about our work and life at Gallup. Gallup offers a robust benefits package that includes medical, dental, vision, life and other insurance options; a fully vested 401(k) retirement savings plan with company matching; an employee stock ownership program; family-building benefits; an employee assistance program; and various reimbursements and activities that enhance our associates’ wellbeing. We also offer an estimated annual salary range of $135,000-$180,000 for this role. Salaries are based on a variety of factors, including an individual’s education, experience and skills. Gallup is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender identity, or any other legally protected basis, in accordance with applicable law. To review Gallup’s Privacy Statement, please click this link: https://www.gallup.com/privacy. This privacy policy is meant to help you understand what information we collect, why we collect it, and how you can update, manage and delete your information. Your application and the information you provide will be processed and stored in the United States. #LI-Hybrid #LI-KW1", "summaryDescription" : "Senior/Staff Data Scientist, Product Analytics at Gallup", "postedDate" : "2026-06-16T03:17:26.320", "createdAt" : "2026-06-16T03:17:26.320", "lastUpdated" : "2026-06-16T14:10:48.359", "ingestTimestamp" : "2026-06-16T03:17:26.320", "mongoId" : "6a30a1e0f292fd229c116c59", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 135000, "salaryAnnualMax" : 180000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 467.42065, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Market Research", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2cd9e174d8ee00a0a49e4c", "title" : "Senior Research Scientist, Perception", "company" : "Waymo", "industry" : "Technology", "salary" : { "min" : 213000.0, "max" : 263000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Kirkland, Washington, United States", "locations" : [ "Kirkland", "Washington", "United States", "Mountain View", "California", "United States", "Mountain View", "California", "United States", "New York", "New York", "United States", "San Francisco", "California", "United States" ], "timestamp" : "2026-06-15T22:44:44.321", "fingerprint" : "047a745eaad2520c7a7f1ccdc8d7700710c9c1b7d3668476572d11c075e65023", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://careers.withwaymo.com/jobs?gh_jid=8003626", "externalId" : "8003626", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Kirkland", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "47.6765382,-122.2070775" } ], "locationText" : "Kirkland, Washington, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, R, Scala, Spark, SQL, Machine Learning, Generative Modeling, Bayesian Inference, Reinforcement Learning, Hierarchical Learning", "hardSkillsList" : [ "Statistical analysis", "ML modeling", "Data analysis" ], "hardSkills" : [ { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "ML modeling", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" } ], "majorSkills" : "Machine Learning, AI, Autonomous Driving", "majorSkillsList" : [ "Machine Learning", "AI", "Autonomous Driving" ], "coreResponsibilities" : "Develop machine learning solutions, Address open problems, Foster collaborations with research teams", "teamCollaboration" : "Collaborate with research teams", "domainKnowledge" : "Autonomous driving; Perception", "domainList" : [ "autonomous-driving", "perception" ], "domainSpecificKnowledge" : [ "Autonomous driving", "Perception" ], "innovationCreativity" : "R&D projects", "problemSolvingSkills" : "Problem solving", "qualificationsBasic" : "5+ years experience, Bachelor's degree", "qualificationsPreferred" : "PhD preferred", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U. S. states. The mission of the Waymo AI Foundations team is to develop machine learning solutions addressing open problems in autonomous driving, towards the goal of safely operating Waymo vehicles in dozens of cities and under all driving conditions. As part of our work, we also initiate and foster collaborations with other research teams in Alphabet. AI Foundations areas that we are currently focusing on include reinforcement learning, learning from demonstration, generative modeling, Bayesian inference, hierarchical learning, and robust evaluation. This role follows a hybrid work schedule and reports to a Principal Research Scientist. You will: Research 5 days/event (discretionary) Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks Baby Bonding Leave: 18 weeks Holidays: 13 paid days per year The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $213,000—$263,000 USD", "summaryDescription" : "Senior Research Scientist, Perception at Waymo. Skills: Machine Learning, AI, Autonomous Driving. Develop machine learning solutions. 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TGH Crystal River (TGHCR)
6201 N Suncoast Boulevard

Crystal River, 34428

" ], "certifications" : [ "Basic Life Support (BLS)" ], "timestamp" : "2026-06-16T00:41:44.660", "fingerprint" : "7937c8594df009b0af1b04d94fc6912941cd0a1ef98b425ccab22fbbf95e1ddb", "source" : "taleo", "language" : "en", "applyUrl" : "https://tgh.taleo.net/careersection/ex/jobdetail.ftl?job=676161", "externalId" : "676161", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Crystal River", "state" : "Florida", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "28.9024790,-82.5926012" } ], "locationText" : "Crystal River, Florida, United States", "minimumEducation" : "High School Diploma or GED", "hardSkillsList" : [ "Arrhythmia recognition", "EKG interpretation" ], "hardSkills" : [ { "name" : "Arrhythmia recognition", "level" : "intermediate" }, { "name" : "EKG interpretation", "level" : "intermediate" } ], "majorSkills" : "Cardiac rhythm monitoring, EKG interpretation", "majorSkillsList" : [ "Cardiac rhythm monitoring", "EKG interpretation" ], "coreResponsibilities" : "Monitor cardiac rhythms, Identify normal cardiac rhythms, Identify dysrhythmias, Report findings to personnel, Document rhythm, Label rhythm strips, Interpret rhythm strips, Perform 12 lead EKGs, Maintain telemetry monitors, Clean telemetry monitors, Interpret changes in rhythms, Record rhythm strips, Communicate lethal arrhythmias, Maintain alarms, Identify EKGs, Work with computer system, Maintain ER flow, Facilitate transfers, Facilitate admissions, Facilitate discharges, Answer telephone, Answer intercom, Relay messages", "teamCollaboration" : "Communicate with nursing staff", "domainKnowledge" : "Cardiac rhythms; Normal cardiac rhythms; Lethal arrhythmias", "domainList" : [ "cardiac-rhythms", "normal-cardiac-rhythms", "lethal-arrhythmias" ], "domainSpecificKnowledge" : [ "Cardiac rhythms", "Normal cardiac rhythms", "Lethal arrhythmias" ], "toolProficiency" : [ "Telemetry monitors" ], "documentationSkills" : "Rhythm documentation", "qualificationsBasic" : "Basic EKG class, Demonstration of competency through testing", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Under general supervision, follows established policies, procedures, and professional guidelines. Responsible for monitoring and identifying basic normal cardiac rhythms, dysrhythmias, and lethal arrhythmias; reporting these findings to the appropriate personnel, and rhythm documentation and labeling per TGH policy. Promotes and maintains patient support including but not limited to: interprets and post rhythm strips and protocol, performs 12 lead EKGs. Maintain and clean portable telemetry monitors between patient use according to manufacturer's guidelines. Essential Functions · Accurately interprets changes in rhythms. · Records rhythm strips as required. · Demonstrates arrhythmia recognition skills. · Communicates lethal arrhythmias to nursing staff and documents strips as requested. · Maintains alarms on at all times with rates set safely to minimize false alarms. · Identifies individual EKGs with proper patient identifiers. · Works with the computer system, including Maintains flow through the ER and facilitate transfers, admissions and discharges timely. · Answers telephone and intercom in a pleasant and professional manner and relays message accurately and quickly. · Reports any malfunction of monitoring equipment to the Biomedical Technicians, Charge Nurse, and Nursing Director Education High School Diploma or GED Certification Basic Life Support (BLS) through American Heart Association or American Red Cross Work Experience Basic EKG class and demonstration of competency through testing. Crystal River", "summaryDescription" : "Cardiac Monitor Technician. Skills: Cardiac rhythm monitoring, EKG interpretation. Monitor cardiac rhythms. 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Perception, prediction, control teams", "domainKnowledge" : "Autonomous vehicles; Robotics; Logistics systems; Deep learning; Real-time systems", "domainList" : [ "autonomous-vehicles", "robotics", "logistics-systems", "deep-learning", "real-time-systems" ], "domainSpecificKnowledge" : [ "Autonomous vehicles", "Robotics", "Logistics systems", "Deep learning", "Real-time systems" ], "toolProficiency" : [ "Linux", "ROS/ROS2", "Git", "CMake", "CI/CD pipelines" ], "communicationSkills" : "Translate algorithmic concepts", "innovationCreativity" : "Develop novel algorithms", "problemSolvingSkills" : "Debug complex systems; Analyze logs and telemetry", "qualificationsBasic" : "PhD or Master’s degree, Proficiency in C++, Solid understanding of OOP, Solid understanding of data structures, Solid understanding of algorithms, Solid understanding of real-time software design, Foundation in graph search, Foundation in sampling-based methods, Foundation in optimization-based methods, Experience with optimization, Hands-on experience developing robotic systems, Hands-on experience developing autonomous systems, Proficiency with Linux, Proficiency with ROS/ROS2, Proficiency with Git, Proficiency with CMake, Proficiency with CI/CD pipelines, Experience leading technical projects, Experience mentoring engineers, Understanding of planning interactions, Ability to reason about system-level trade-offs, Effective communicator", "qualificationsPreferred" : "Familiarity with decision-making frameworks", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "A WORLD EMPOWERED BY AUTONOMY. WE BUILD ROBOTIC VEHICLES TO IMPROVE LOGISTICS SAFETY, FORGE A GREENER EARTH, AND ENHANCE HUMAN LIVES. We are a closely-knit team aspiring to change the world through disruptive technology. We are innovators. We are tinkerers. We are problem-solvers. And we have a fair amount of magic dust up our sleeves. We have a plan for fleet-level deployment of autonomous vehicles, and we are looking for the best-of-the-best to join us in making this a reality. ABOUT VENTI TECHNOLOGIES Based in the U.S. and Asia, Venti Technologies is the leader in safe-speed autonomous logistics systems, developing the future of goods transportation. Using rigorous mathematics, deep learning, and theoretically-grounded algorithms, Venti has a proprietary collection of autonomy technologies including a suite of powerful logistics algorithms. Venti’s proven value proposition of saving costs, increasing vehicle utilization, and improving safety is recognized by customers and driving growth. Launched in 2018, Venti brings together an unsurpassed team internationally. The company has autonomous systems deployed in Asia for industrial and logistics sites and a growing pipeline. Venti has offices in Cambridge (Massachusetts, USA), Suzhou (China), and Singapore – our Asian headquarters. LOCATION - Singapore Position overview We are seeking a Senior Planning Research Scientist with strong software engineering expertise to join our planning and control team. You will design, implement, and optimize advanced planning algorithms that enable autonomous vehicles to navigate complex and dynamic environments safely and efficiently. In this role, you will own both the research and engineering aspects of planning — from developing novel algorithms to delivering clean, high-performance, and reliable C++ implementations ready for deployment. You will work cross-functionally with perception, prediction, and control teams to bring robust autonomy to large-scale operations. Role responsibilities - Algorithm & System Development: Design, implement, and maintain high-performance route planning and motion planning modules in modern C++. Deliver robust, efficient, and maintainable code for real-time autonomous driving applications. - Performance Optimization: Profile and optimize planning algorithms for runtime efficiency, memory usage, and latency to meet real-time operational constraints. - System Integration: Collaborate with perception, prediction, and control teams to ensure seamless data flow and performance consistency across the autonomy pipeline. - Simulation and Testing: Implement, simulate, and validate planning algorithms in both simulation environments and real-world autonomous platforms. Conduct in-depth analysis to ensure robustness and reliability. - System Debugging & Deployment: Debug complex, multi-module systems, analyze logs and telemetry, and ensure successful deployment of planning modules in both simulated and real-world environments. - Collaboration & Mentorship: Work closely with fellow engineers and researchers, share best practices in system design, and mentor junior developers to strengthen engineering excellence within the team. Required experience - Educational Background: Ph.D. or Master’s degree in Computer Science, Robotics, Engineering, or a related field. - Programming Proficiency: Strong proficiency in C++. Solid understanding of object-oriented programming, data structures, algorithms, and real-time software design. - Algorithmic Knowledge: Strong foundation in graph search, sampling-based, and optimization-based methods, and familiarity with decision-making frameworks (FSMs, behavior trees). - Experience with Optimization: Proven ability to optimize code for performance and resource constraints in real-time environments. - Software Development Experience: Hands-on experience in developing large-scale robotic or autonomous systems. Proficiency with Linux, ROS/ROS2, Git, CMake/Bazel, and CI/CD pipelines. - Leadership and Mentorship: Experience leading technical projects, mentoring engineers, and contributing to organizational growth. - System Thinking: Understanding of how planning interacts with perception, localization, and control. Ability to reason about system-level trade-offs. - Collaboration: Effective communicator who can work across disciplines and translate algorithmic concepts into software components that meet product requirements. SALARY IS COMMENSURATE WITH EXPERIENCE. WE ALSO OFFER WORLD-CLASS BENEFITS, FANTASTIC CULTURE, FLEXIBLE WORKING ARRANGEMENTS, AND A GREAT INTERNATIONAL WORKING ENVIRONMENT. COME AND JOIN US!", "summaryDescription" : "Senior Planning Research Scientist at Venti Technologies. Skills: Planning algorithms, Motion planning, Route planning, C++ implementation. Design planning algorithms. 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"hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c6ca374d8ee00a091a4d5", "title" : "Senior Scientist, Molecular Biology", "company" : "Serif Biomedicines, Inc.", "industry" : "Biotech", "salary" : { "min" : 126000.0, "max" : 181500.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Serif Biomedicines", "locations" : [ "Serif Biomedicines" ], "timestamp" : "2026-06-16T00:43:39.283", "fingerprint" : "4d14887cdb942dfe95f6b56e9a19d51cee2076ba40763a99aa20090e6edb3304", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/serif/jobs/8575128002", "externalId" : "8575128002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "serik", "state" : "antalya", "country" : "turkey", "continent" : "asia", "source" : "locations-index", "geo" : "36.91694,31.09889" } ], "locationText" : "Serif Biomedicines", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Protein engineering, DNA library design, Pooled screening, CARinder design, Plasmid DNA design, High-throughput workflows, Data-driven decision making, Protein prediction models, Ab initio modeling, Protein structure, Protein function, Affinity, Stability, DNA libraries, Barcoding strategies, Variant tracking, Arrayed screening, Biochemical assays, High-throughput workflows, DNA production, RNA production, Data analysis, Library screens, CAR optimization, Binder identification, Protein production, Mammalian cells, Plasmid design, Construct design, Engineered proteins, Cell-based systems, Construct QC, Sequence analysis, NGS-based workflows, Molecular cloning, Mammalian cells", "professionalSkills" : [ "Experimental design", "Data quality", "Project leadership", "Cross-functional leadership", "Mentorship" ], "hardSkillsList" : [ "Protein engineering", "DNA library design", "Pooled screening", "CARinder 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"Critical thinking" }, { "name" : "Mentoring" } ], "majorSkills" : "Protein engineering, DNA library design, Pooled screening", "majorSkillsList" : [ "Protein engineering", "DNA library design", "Pooled screening" ], "coreResponsibilities" : "Develop proteins of novel function in silico, Drive protein selection and validation, Characterize protein structure and function, Design and build complex DNA libraries, Enable pooled screening and variant tracking, Automate arrayed screening and assays, Build and scale high-throughput workflows, Support protein engineering and CAR optimization, Support binder identification and characterization, Produce and characterize proteins, Contribute to plasmid and construct design, Own construct QC and sequence analysis, Track variants including NGS-based workflows, Work with external vendors, Balance internal builds and outsourcing, Partner closely with other teams, Provide designs, materials, and timelines, Mentor junior scientists, Support practices in experimental design, Support practices in data quality, Maintain clear and reproducible records, Communicate results clearly", "teamCollaboration" : "Cross-functional teams; R&D team; External vendors; CMC team; Cross-functional teams; Cross-functional teams", "projectManagementSkills" : [ "Project leadership" ], "domainKnowledge" : "Gene therapy; Programmable medicines; Engineered proteins; Cell-based systems; Molecular biology; Bioengineering", "domainList" : [ "gene-therapy", "programmable-medicines", "engineered-proteins", "cell-based-systems", "molecular-biology", "bioengineering" ], "domainSpecificKnowledge" : [ "Gene therapy", "Programmable medicines", "Engineered proteins", "Cell-based systems", "Molecular biology", "Bioengineering" ], "toolProficiency" : [ "ELN" ], "communicationSkills" : "Communicate results; Translate complex ideas", "documentationSkills" : "Maintain records; Sequence tracking; Sample management", "innovationCreativity" : "Novel approach; Novel function; Novel medicines", "problemSolvingSkills" : "Critical thinking; Data-driven decision making", "qualificationsBasic" : "5+ years of relevant industry experience, Deep expertise in protein engineering, Proven track record designing DNA libraries, Command of molecular cloning, Demonstrated ownership of large-scale library screens, Expert-level experience with NGS-based library analysis, Ability to operate effectively in cross-functional teams, Experience mentoring junior scientists", "qualificationsPreferred" : "Experience in CARinder design, Experience with ab initio modeling, Experience with automation for arrayed screening, Experience with protein production in bacteria, Experience with protein production in mammalian cells, Experience with plasmid and construct design, Experience with external vendor management, Previous technical or professional management experience", "rawDescription" : "Company Summary: Serif Biomedicines, Inc. is a privately held, early-stage biotechnology company developing a novel approach to gene therapy that can address currently untreatable diseases. Serif Biomedicines was founded by Flagship Pioneering, an innovation enterprise that conceives, creates, resources, and grows first-in-category life sciences companies. Flagship Pioneering has created over 100 groundbreaking companies over the past twenty years, all of which are pioneering novel and proprietary biological, industrial, and engineering approaches to solve major needs in human health and sustainability. These companies include Moderna (MRNA), Syros Pharmaceuticals (SYRS), Seres Therapeutics (NASDAQ:MCRB), Generate Biomedicines, Tessera Tx, Evelo Biosciences (EVLO), and Indigo Agriculture. The role We are looking for a Senior Scientist, Molecular Biology with experience in protein engineering, complex DNA library design, and pooled screening to help build next-generation DNA constructs for programmable medicines. This role is a good fit for someone who has worked on CAR/binder design and is comfortable designing and testing large libraries to support discovery and optimization of engineered proteins. You will help build and scale platforms for plasmid DNA design, construction, and optimization, with a focus on practical, high-throughput workflows and data-driven decision making. We are looking for someone who brings strong technical skills, thinks critically about experimental design, and is comfortable working in a fast-paced, collaborative environment. This role reports to the Director of Molecular Biology and includes management of one direct report. You will work closely with other scientists and group leads across the R&D team. Key responsibilities Using protein prediction models and ab initio modeling to develop proteins of novel function in silico and drive their selection and validation on wet bench Deep expertise characterizing protein structure and function including affinity, stability, etc. Design and build complex DNA libraries, including barcoding strategies, to enable pooled screening and variant tracking. Automation experience for arrayed screening and other biochemical assays Help build and scale high-throughput workflows for DNA and RNA production, screening, and data analysis. Track record of demonstration execution of large-scale library screens to support protein engineering and CAR optimization or binder identification and characterization Protein production and characterization in both bacteria and mammalian cells Contribute to plasmid and construct design for engineered proteins and cell-based systems. Own construct QC, sequence analysis, and tracking of variants, including NGS-based workflows. Work with external vendors as needed, balancing internal builds and outsourcing to meet timelines. Partner closely with other teams, including CMC, to provide designs, materials, and timelines. Mentor junior scientists and support strong practices in experimental design and data quality. Maintain clear and reproducible records (ELN, sequence tracking, sample management). Communicate results clearly to cross-functional teams and leadership. Who you are We encourage all candidates with exemplary experience in related fields to apply. Technical Expertise BS with 14+ years, MS with 12+ years, or PhD with 5+ years of relevant industry experience in molecular biology, bioengineering, or a related field. Deep expertise in protein engineering and CAR Proven track record designing and building complex DNA libraries, including barcoding strategies for pooled screening. Strong command of molecular cloning and plasmid design in high-throughput settings. Demonstrated ownership of large-scale library screens, from design through execution and data interpretation. Expert-level experience with NGS-based library analysis, variant tracking, and sequence QC. Ability to operate effectively in cross-functional teams and drive work forward in a fast-paced environment. Experience mentoring or managing junior scientists. Leadership & Collaboration Proven ability to lead complex projects and influence cross-functional teams. Strong mentorship skills with commitment to developing others. Previous technical or professional management experience. Excellent communication skills, with the ability to translate complex ideas across disciplines. Values and Behaviors: Flagship is an experiment in institutional, entrepreneurial, and innovation practiced in the context of a small company with an insurgent mindset. We are seeking individuals with an entrepreneurial spirit, strong communication skills, and comfort in working in and contributing to a dynamic and cross-functional team environment. At Flagship, we recognize there is no perfect candidate. If you have some of the experience listed above but not all, we encourage you to apply anyway. Experience comes in many forms, skills are transferable, and passion goes a long way. We are dedicated to building diverse and inclusive teams and look forward to learning more about your unique background. The level of the role will be commensurate with the education and years of experience of the identified candidates. Flagship Pioneering and our ecosystem companies are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Recruitment & Staffing Agencies: Flagship Pioneering and its affiliated Flagship Lab companies (collectively, “FSP”) do not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to FSP or its employees is strictly prohibited unless contacted directly by Flagship Pioneering’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of FSP, and FSP will not owe any referral or other fees with respect thereto. Privacy Notice for Applicants: When you apply for a role at Flagship Pioneering or one of its portfolio companies, we collect and use personal information you provide (such as your name, contact details, work history, and application materials) to evaluate your application, communicate with you, and comply with legal obligations. Your application data is processed through Greenhouse, our applicant tracking system, and may also be reviewed using AI-assisted screening tools. We do not sell your personal information. California residents have rights under the CCPA/CPRA including to know, delete, and opt out of the sharing of their personal information. If you are located in the EU or UK, we process your data under GDPR and you have rights to access, rectify, and erase your data. To exercise your rights or for questions, contact privacy@flagshippioneering.com. The salary range for this role is $126,000 - $181,500. Compensation for the role will depend on a number of factors, including a candidate’s qualifications, skills, competencies, and experience. Serif Biomedicines currently offers healthcare coverage, annual incentive program, retirement benefits and a broad range of other benefits. Compensation and benefits information is based on Serif Biomedicines's good faith estimate as of the date of publication and may be modified in the future. Privacy Notice for Applicants: When you apply for a role at Serif Biomedicines, Inc., a Flagship Pioneering portfolio company, we collect and use personal information you provide (such as your name, contact details, work history, and application materials) to evaluate your application, communicate with you, and comply with legal obligations. Your application data is processed through Greenhouse, our applicant tracking system, and may also be reviewed using AI-assisted screening tools. We do not sell your personal information. California residents have rights under the CCPA/CPRA including to know, delete, and opt out of the sharing of their personal information. If you are located in the EU or UK, we process your data under GDPR and you have rights to access, rectify, and erase your data. To exercise your rights or for questions, contact privacy@flagshippioneering.com.", "summaryDescription" : "Senior Scientist, Molecular Biology at Serif Biomedicines, Inc.. Skills: Protein engineering, DNA library design, Pooled screening. Develop proteins of novel function in silico. Drive protein selection and validation", "postedDate" : "2026-06-14T18:58:40.150", "createdAt" : "2026-06-14T18:58:40.150", "lastUpdated" : "2026-06-16T00:43:39.283", "ingestTimestamp" : "2026-06-14T18:58:40.150", "mongoId" : "6a2c6ca374d8ee00a091a4d5", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 126000, "salaryAnnualMax" : 181500, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Protein engineering", "DNA library design", "Pooled screening", "CARinder design", "Plasmid DNA design", "High-throughput workflows", "Data-driven decision making", "Protein prediction models", "Ab initio modeling", "Protein structure", "Protein function", "Affinity", "Stability", "DNA libraries", "Barcoding strategies", "Variant tracking", "Arrayed screening", "Biochemical assays", "DNA production", "RNA production", "Data analysis", "Library screens", "CAR optimization", "Binder identification", "Protein production", "Mammalian cells", "Plasmid design", "Construct design", "Engineered proteins", "Cell-based systems", "Construct QC", "Sequence analysis", "NGS-based workflows", "Molecular cloning", "Leadership", "Critical thinking", "Mentoring", "Experimental design", "Data quality", "Project leadership", "Cross-functional leadership", "Mentorship", "Gene therapy", "Programmable medicines", "Molecular biology", "Bioengineering", "ELN" ], "skillCount" : 47, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 460.84946, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c92ba74d8ee00a098669f", "title" : "Senior Data Scientist", "company" : "Attentive", "industry" : "Technology", "salary" : { "min" : 175000.0, "max" : 250000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Data Scientist in the United States, adjusted for seniority, remote work, and the technology industry." }, "location" : "United States", "locations" : [ "United States" ], "timestamp" : "2026-06-15T07:10:06.757", "fingerprint" : "63246f5864698a12f0dab1c15c59a2851b05ceb14d9a63f9dc4e174aed46b9ae", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/attentive/jobs/4121283009", "externalId" : "4121283009", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, SQL, XGBoost", "professionalSkills" : [ "Data-driven decision-making", "Conversational AI", "Messaging strategies" ], "hardSkillsList" : [ "Statistical analysis", "Machine learning", "Optimization", "Econometrics", "Experimental design", "Model development" ], "hardSkills" : [ { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Optimization", "level" : "intermediate" }, { "name" : "Econometrics", "level" : "intermediate" }, { "name" : "Experimental design", "level" : "intermediate" }, { "name" : "Model development", "level" : "intermediate" } ], "majorSkills" : "Machine learning models, Statistical models, ML solutions", "majorSkillsList" : [ "Machine learning models", "Statistical models", "ML solutions" ], "coreResponsibilities" : "Lead development of models, Design experiments, Execute experiments, Interpret results, Draw actionable conclusions, Use data to understand performance, Identify improvement opportunities, Define product roadmaps, Define team roadmaps, Present findings to leadership, Collaborate with product teams, Collaborate with engineering teams, Collaborate with client services, Collaborate with sales teams, Drive business value", "teamCollaboration" : "Cross-functional teams; Product teams; Engineering teams; Client services teams; Sales teams", "domainKnowledge" : "Messaging; AI product offerings; Pricing optimization; Promotion optimization; Customer lifetime value; Personalization systems; Cohort modeling; Operations research; Scheduling problems; Assignment problems", "domainList" : [ "messaging", "ai-product-offerings", "pricing-optimization", "promotion-optimization", "customer-lifetime-value", "personalization-systems", "cohort-modeling", "operations-research", "scheduling-problems", "assignment-problems" ], "domainSpecificKnowledge" : [ "Messaging", "AI product offerings", "Pricing optimization", "Promotion optimization", "Customer lifetime value", "Personalization systems", "Cohort modeling", "Operations research", "Scheduling problems", "Assignment problems" ], "communicationSkills" : "Present findings", "innovationCreativity" : "Develop novel approaches", "problemSolvingSkills" : "Root cause analysis", "qualificationsBasic" : "Bachelors degree in Statistics, Bachelors degree in Economics, Bachelors degree in Machine Learning, Bachelors degree in Operations Research, Bachelors degree in quantitative fields, Knowledge of mathematical foundations, Knowledge of experimental design, Experience with exploratory data analysis, Experience with statistical analysis, Experience with model development, Ability to use Python, Advanced proficiency in SQL", "qualificationsPreferred" : "4+ years industry experience, Familiarity with advanced statistical inference, Familiarity with experimentation, Familiarity with causal inference methods, Econometric experience with pricing, Econometric experience with promotion optimization, Expertise in customer lifetime value modeling, Experience in personalization systems, Experience in cross-sectional cohort modeling, Background in operations research, Knowledge of advanced XGBoost modeling", "remoteFriendly" : true, "rawDescription" : "Attentive® is the AI marketing platform for 1:1 personalization redefining the way brands and people connect. We’re the only marketing platform that combines powerful technology with human expertise to build authentic customer relationships. By unifying SMS, RCS, email, and push notifications, our AI-powered personalization engine delivers bespoke experiences that drive performance, revenue, and loyalty through real-time behavioral insights. Recognized as the #1 provider in SMS Marketing by G2, Attentive partners with more than 8,000 customers across 70+ industries. Leading global brands like Crate and Barrel, Urban Outfitters, and Carter’s work with us to enable billions of interactions that power tens of billions in revenue for our customers. With a distributed global workforce and employee hubs in New York City, San Francisco, London, and Sydney, Attentive’s team has been consistently recognized for its performance and culture. We’re proud to be included in Deloitte’s Fast 500 (four years running!), LinkedIn’s Top Startups, Forbes’ Cloud 100 (five years running!), Inc.’s Best Workplaces, and the Human Rights Campaign Foundation's Corporate Equality Index! About the Role Our Data Science team is a world-class data, applied science, and ML organization that leads data-driven decision-making and the conversational AI efforts for the entire company. Joining our team offers a high-growth career opportunity to work with some of the world’s most talented data scientists in a high-performance and high-impact culture. As a Senior Data Scientist on our Intelligent Messaging team, you will play a crucial role in transforming data into actionable insights and models for our AI product offerings. We are looking for an experienced scientist who relishes the opportunity to develop novel approaches and apply them at Attentive’s scale. Your contributions will directly influence the development of cutting-edge ML solutions, empowering our team to craft highly effective messaging strategies. What You’ll Accomplish Lead the development of statistical, econometric, optimization, and machine learning models for a range of applications in our messaging and AI product offerings Design and execute experiments, interpret results, and draw actionable conclusions Use data to understand product performance, identify improvement opportunities, and define product/team roadmaps Present findings to senior leadership to inform and influence business decisions Collaborate with cross-functional teams across product, engineering, client services, and sales to drive business value from ideation to production Your Expertise Ph.D., M. S. or Bachelors degree in Statistics, Economics, Machine Learning, Operations Research, or other quantitative fields Knowledge of underlying mathematical foundations of statistics, machine learning, optimization, economics, and analytics Knowledge of experimental design and analysis Experience with exploratory data analysis, statistical analysis and testing, and model development Ability to use Python to work efficiently at scale with large data sets Advanced proficiency in SQL Nice to Haves 4+ years of industry experience as an Applied or Data Scientist or equivalent Familiarity with advanced statistical inference, experimentation, and causal inference methods Econometric experience with pricing and promotion optimization Expertise in customer lifetime value modeling Experience in personalization systems and cross-sectional cohort modeling Background in operations research (e.g., scheduling or assignment problems) Knowledge of advanced topics in XGBoost modeling You'll get competitive perks and benefits, from health & wellness to equity, to help you bring your best self to work. For US based applicants: The US base salary range for this full-time position is $250,000 - $300,000 annually + equity + benefits Our salary ranges are determined by role, level and location #LI-MDK1 By applying for this position, your data will be processed as per Attentive's Privacy Policy. Attentive Company Values Default to Action - Move swiftly and with purpose Be One Unstoppable Team - Rally as each other’s champions Champion the Customer - Our success is defined by our customers' success Act Like an Owner - Take responsibility for Attentive’s success Learn more about AWAKE, Attentive’s collective of employee resource groups. If you do not meet all the requirements listed here, we still encourage you to apply! No job description is perfect, and we may also have another opportunity that closely matches your skills and experience. At Attentive, we know that our Company's strength lies in the diversity of our employees. Attentive is an Equal Opportunity Employer and we welcome applicants from all backgrounds. Our policy is to provide equal employment opportunities for all employees, applicants and covered individuals regardless of protected characteristics. We prioritize and maintain a fair, inclusive and equitable workplace free from discrimination, harassment, and retaliation. Attentive is also committed to providing reasonable accommodations for candidates with disabilities. If you need any assistance or reasonable accommodations, please let your recruiter know.", "summaryDescription" : "Senior Data Scientist at Attentive. Skills: Machine learning models, Statistical models, ML solutions. Lead development of models. Design experiments", "postedDate" : "2026-06-14T03:23:31.250", "createdAt" : "2026-06-14T03:23:31.250", "lastUpdated" : "2026-06-15T07:10:06.757", "ingestTimestamp" : "2026-06-14T03:23:31.250", "mongoId" : "6a2c92ba74d8ee00a098669f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 175000, "salaryAnnualMax" : 250000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Statistical analysis", "Machine learning", "Optimization", "Econometrics", "Experimental design", "Model development", "Machine learning models", "Statistical models", "ML solutions", "Data-driven decision-making", "Conversational AI", "Messaging strategies", "Messaging", "AI product offerings", "Pricing optimization", "Promotion optimization", "Customer lifetime value", "Personalization systems", "Cohort modeling", "Operations research", "Scheduling problems", "Assignment problems" ], "skillCount" : 22, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 459.7156, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2ca13a74d8ee00a09a4caa", "title" : "Senior Data Scientist, Risk", "company" : "Mudflap", "industry" : "Data", "salary" : { "min" : 185000.0, "max" : 225000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "Palo Alto, CA", "locations" : [ "Palo Alto, CA" ], "timestamp" : "2026-06-16T00:56:57.797", "fingerprint" : "b3f93a362812ae4043126b7e4520dbe88148c864fbf565a40b85df2b2bd31a82", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/mudflap/12429c90-84b3-40af-a80b-2cf332e8df8b/application", "externalId" : "12429c90-84b3-40af-a80b-2cf332e8df8b", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Palo Alto", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "37.4443293,-122.1598465" } ], "locationText" : "Palo Alto, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, Machine Learning, A/B testing, Causal inference", "professionalSkills" : [ "Data science", "Analytics", "Risk management", "Underwriting", "Fraud detection", "Portfolio performance", "Data modeling", "Predictive modeling", "Scalable solutions" ], "hardSkillsList" : [ "Statistical analysis", "Model validation", "Performance monitoring", "Experimental design" ], "softSkillsList" : [ "Customer-obsessed", "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Model validation", "level" : "intermediate" }, { "name" : "Performance monitoring", "level" : "intermediate" }, { "name" : "Experimental design", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Customer-obsessed" }, { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Risk modeling, Fraud detection, Underwriting capabilities", "majorSkillsList" : [ "Risk modeling", "Fraud detection", "Underwriting capabilities" ], "coreResponsibilities" : "Drive strategic data science initiatives, Lead machine learning projects, Formulate problems, Deploy models to production, Develop models, Validate models, Monitor model performance, Solve business problems, Assess fraudulent risk, Underwrite customers, Segment customers, Improve portfolio performance, Drive data-driven decision making, Translate business requirements, Communicate insights to stakeholders, Mentor junior data scientists, Mentor junior analysts, Establish best practices, Provide technical leadership, Conduct code reviews, Develop data science methodologies, Develop data science standards, Lead experimentation strategy, Drive product innovation, Own A/B testing frameworks, Mentor teams on experimental design, Translate test results, Improve key business metrics", "teamCollaboration" : "Cross-functional partnerships; Product teams; Engineering teams; Risk teams; Finance teams; Executive stakeholders", "projectManagementSkills" : [ "End-to-end machine learning projects" ], "domainKnowledge" : "Credit risk; Fraud risk; Underwriting; Portfolio performance", "domainList" : [ "credit-risk", "fraud-risk", "underwriting", "portfolio-performance" ], "domainSpecificKnowledge" : [ "Credit risk", "Fraud risk", "Underwriting", "Portfolio performance" ], "toolProficiency" : [ "Python", "SQL" ], "communicationSkills" : "Present complex insights", "innovationCreativity" : "Product innovation", "problemSolvingSkills" : "Scalable risk solutions", "outcomesObjectives" : "Reduce fraud losses; Improve portfolio performance; Drive growth; Protect the business", "qualificationsBasic" : "5+ years of experience, Proficiency in SQL, Proficiency in Python, Experience building production-ready models, Experience building production-ready pipelines, Statistical knowledge, Experience designing experiments", "qualificationsPreferred" : "Experience in risk domain, Experience in growth/marketing domain, Experience in product analytics domain, PhD preferred", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Mudflap serves the $800B trucking industry, the backbone of the U.S. economy. Our market-leading payment products help truckers save thousands of dollars on fuel (their #1 business expense), while providing our fuel stop partners with access to new, hard-to-reach customers. We’re a fast-growing marketplace business looking for a new customer-obsessed teammate to join us on this exciting journey. About the Role At Mudflap, we’re building a data-driven decision engine that powers every facet of our business—from risk management and underwriting to product innovation and operational excellence. We’re looking for a versatile Senior Data Scientist, Risk to join our high-impact team. In this role, you will develop the models, insights, and strategies that help us identify, assess, and mitigate credit and fraud risk across our platform. You’ll lead the development of underwriting capabilities, design predictive models to reduce fraud losses, and uncover opportunities to improve portfolio performance. Working closely with Product, Engineering, Risk, and Finance teams, you’ll translate complex data into scalable risk solutions that drive growth while protecting the business. Work Location: This role is based in Palo Alto, CA and involves a hybrid work approach, balancing in-office collaboration with the ability to work remotely. To support our team, we offer: - Commuter benefits to ease your travel - Lunches and snacks to keep you fueled - A collaborative, high-growth environment where you’ll work closely with talented teammates across the company What You’ll Do - Drive strategic data science initiatives that directly impact business outcomes, working closely with executive leadership to identify high-value opportunities in your domain. - Lead end-to-end machine learning projects from problem formulation through production deployment, including model development, validation, A/B testing, and performance monitoring. solve high-impact business problems such as fraudulent risk assessment, underwriting, customer segmentation, etc. - Drive data-driven decision making across cross-functional partnerships — Collaborate closely with Product, Engineering, Ops, Risk teams, etc. to translate complex business requirements into analytical solutions and communicate insights to executive stakeholders - Mentor junior data scientists and analysts and establish best practices — Provide technical leadership, code reviews, and strategic guidance while developing scalable data science methodologies and standards across the organization - Lead experimentation strategy and drive product innovation — Own end-to-end A/B testing frameworks, mentor teams on experimental design, and translate test results into actionable product improvements that directly impact key business metrics What We’re Looking For - 5+ years of experience in data science, analytics, or related fields. - Proficiency in SQL and Python for data manipulation, modeling, and automation. - Experience building production-ready models and pipelines. - Strong statistical knowledge and experience designing experiments (A/B testing, cohort analysis, causal inference). - Excellent communication skills—ability to present complex insights clearly to technical and non-technical stakeholders. - Experience in at least one of the domains: risk, growth/marketing, or product analytics preferred. - Comfortable working in a fast-paced startup environment where collaboration and flexibility are essential. Perks and Benefits (What we offer): - Competitive salary and equity in a high-growth startup - Multiple health benefit options - Responsible Time Off - 401(k) matching - Opportunities and support for major career growth - Annual Company offsite event (Mudfest!) The salary range for this role is $185,000 - 225,000. This information reflects a base salary range for this position based on current market data, which may be subject to change as new market data becomes available. The candidate's skills, experience, and other relevant factors will determine the exact compensation. Company Overview (Who we are): Mudflap is on a mission to transform the trucking and logistics industry by leveling the playing field for owner operators and small fleets. Backed by top-tier venture investors, including QED, Matrix Partners, Commerce Ventures, NFX, and 500 Startups and included in the Forbes Fintech 50 list, Mudflap offers fleet fuel management solutions. Our core team hails from Disney, Uber, Procore, DoorDash, Google, Meta, Capital One, Affirm and Brex. Here are the core values that we believe in and look for in new teammates: - Be Customer Obsessed: We deeply understand customer needs and put our customers at the center of everything we do - Make it Count: Act like an owner by focusing on the impact of your work - Find a Way: Be a creative problem solver who pushes past roadblocks to win for our customers and our teammates - Sweat the Details: We keep our standards high and achieve them by paying attention to every detail - Be Curious: Use a growth mindset to question assumptions, take calculated risks and stretch the boundaries of what’s possible", "summaryDescription" : "Senior Data Scientist, Risk at Mudflap. Skills: Risk modeling, Fraud detection, Underwriting capabilities. Drive strategic data science initiatives. Lead machine learning projects", "createdAt" : "2026-06-14T20:15:21.088", "lastUpdated" : "2026-06-16T00:56:57.797", "ingestTimestamp" : "2026-06-14T20:15:21.088", "mongoId" : "6a2ca13a74d8ee00a09a4caa", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 185000, "salaryAnnualMax" : 225000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Statistical analysis", "Model validation", "Performance monitoring", "Experimental design", "Customer-obsessed", "Leadership", "Mentoring", "Risk modeling", "Fraud detection", "Underwriting capabilities", "Data science", "Analytics", "Risk management", "Underwriting", "Portfolio performance", "Data modeling", "Predictive modeling", "Scalable solutions", "End-to-end machine learning projects", "Credit risk", "Fraud risk", "Python", "SQL" ], "skillCount" : 23, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 458.53458, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2ca13a74d8ee00a09a4cad", "title" : "Senior Data Scientist, Pricing", "company" : "Mudflap", "industry" : "Data", "salary" : { "min" : 185000.0, "max" : 225000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "Palo Alto, CA", "locations" : [ "Palo Alto, CA" ], "timestamp" : "2026-06-16T02:07:21.924", "fingerprint" : "bd68f13ae0287040254374f9825c72837a777f13004d1e76cb636fdff2fc9cce", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/mudflap/119c5246-126b-4b2b-90f2-519921a5c9d0/application", "externalId" : "119c5246-126b-4b2b-90f2-519921a5c9d0", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Palo Alto", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "37.4443293,-122.1598465" } ], "locationText" : "Palo Alto, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, Machine learning, A/B testing, Causal inference", "professionalSkills" : [ "Data science initiatives", "ML projects", "Data-driven decision making", "Experimental design", "Product innovation" ], "hardSkillsList" : [ "Statistical modeling", "Pricing models", "Elasticity models", "Experiment analysis" ], "hardSkills" : [ { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "Pricing models", "level" : "intermediate" }, { "name" : "Elasticity models", "level" : "intermediate" }, { "name" : "Experiment analysis", "level" : "intermediate" } ], "majorSkills" : "Pricing models, Data science, Machine learning", "majorSkillsList" : [ "Pricing models", "Data science", "Machine learning" ], "coreResponsibilities" : "Drive strategic data science initiatives, Lead machine learning projects, Develop pricing models, Estimate customer willingness-to-pay, Design pricing experiments, Analyze pricing experiments, Generate insights, Drive data-driven decision making, Translate business requirements, Communicate insights to stakeholders, Mentor junior data scientists, Mentor junior analysts, Establish best practices, Provide technical leadership, Conduct code reviews, Develop scalable data science methodologies, Lead experimentation strategy, Drive product innovation, Own A/B testing frameworks, Mentor teams on experimental design, Translate test results into improvements", "teamCollaboration" : "Partner with Product; Partner with Finance; Partner with Revenue Operations; Partner with Engineering; Cross-functional partnerships; Collaborate with Product; Collaborate with Engineering; Collaborate with Ops; Collaborate with Risk teams; Communicate with executive stakeholders", "domainKnowledge" : "Pricing; Revenue strategies; Margin strategies; Retention strategies; Fraudulent risk assessment; Underwriting; Customer segmentation", "domainList" : [ "pricing", "revenue-strategies", "margin-strategies", "retention-strategies", "fraudulent-risk-assessment", "underwriting", "customer-segmentation" ], "domainSpecificKnowledge" : [ "Pricing", "Revenue strategies", "Margin strategies", "Retention strategies", "Fraudulent risk assessment", "Underwriting", "Customer segmentation" ], "communicationSkills" : "Present complex insights", "innovationCreativity" : "Product innovation", "problemSolvingSkills" : "Analytical solutions", "outcomesObjectives" : "Accelerate growth; Maximize long-term value; Optimize customer value; Compete in the market; Impact business outcomes; Identify high-value opportunities; Impact key business metrics", "qualificationsBasic" : "5+ years of experience in data science, Proficiency in SQL, Proficiency in Python, Experience building production-ready models, Experience building production-ready pipelines, Statistical knowledge, Experience designing experiments", "qualificationsPreferred" : "Experience in risk analytics, Experience in growth analytics, Experience in product analytics", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Mudflap serves the $800B trucking industry, the backbone of the U.S. economy. Our market-leading payment products help truckers save thousands of dollars on fuel (their #1 business expense), while providing our fuel stop partners with access to new, hard-to-reach customers. We’re a fast-growing marketplace business looking for a new customer-obsessed teammate to join us on this exciting journey. About the Role At Mudflap, we’re building a data-driven decision engine that powers every aspect of our business—from product development and growth to risk management and operational excellence. We’re looking for a versatile Senior Data Scientist, Pricing to join our high-impact team. In this role, you’ll partner closely with Product, Finance, Revenue Operations, and Engineering to drive strategic pricing decisions that accelerate growth and maximize long-term value. You’ll develop pricing and elasticity models, estimate customer willingness-to-pay, design and analyze pricing experiments, and generate insights that inform revenue, margin, and retention strategies. Your work will directly influence how we price our products, optimize customer value, and compete in the market. Work Location: This role is based in Palo Alto, CA and involves a hybrid work approach, balancing in-office collaboration with the ability to work remotely. To support our team, we offer: - Commuter benefits to ease your travel - Lunches and snacks to keep you fueled - A collaborative, high-growth environment where you’ll work closely with talented teammates across the company What You’ll Do - Drive strategic data science initiatives that directly impact business outcomes, working closely with executive leadership to identify high-value opportunities in your domain. - Lead end-to-end machine learning projects from problem formulation through production deployment, including model development, validation, A/B testing, and performance monitoring. solve high-impact business problems such as fraudulent risk assessment, underwriting, customer segmentation, etc. - Drive data-driven decision making across cross-functional partnerships — Collaborate closely with Product, Engineering, Ops, Risk teams, etc. to translate complex business requirements into analytical solutions and communicate insights to executive stakeholders - Mentor junior data scientists and analysts and establish best practices — Provide technical leadership, code reviews, and strategic guidance while developing scalable data science methodologies and standards across the organization - Lead experimentation strategy and drive product innovation — Own end-to-end A/B testing frameworks, mentor teams on experimental design, and translate test results into actionable product improvements that directly impact key business metrics What We’re Looking For - 5+ years of experience in data science, analytics, or related fields. - Proficiency in SQL and Python for data manipulation, modeling, and automation. - Experience building production-ready models and pipelines. - Strong statistical knowledge and experience designing experiments (A/B testing, cohort analysis, causal inference). - Excellent communication skills—ability to present complex insights clearly to technical and non-technical stakeholders. - Experience in at least one of the domains: risk, growth/marketing, or product analytics preferred. - Comfortable working in a fast-paced startup environment where collaboration and flexibility are essential. Perks and Benefits (What we offer): - Competitive salary and equity in a high-growth startup - Multiple health benefit options - Responsible Time Off - 401(k) matching - Opportunities and support for major career growth - Annual Company offsite event (Mudfest!) The salary range for this role is $185,000 - 225,000. This information reflects a base salary range for this position based on current market data, which may be subject to change as new market data becomes available. The candidate's skills, experience, and other relevant factors will determine the exact compensation. Company Overview (Who we are): Mudflap is on a mission to transform the trucking and logistics industry by leveling the playing field for owner operators and small fleets. Backed by top-tier venture investors, including QED, Matrix Partners, Commerce Ventures, NFX, and 500 Startups and included in the Forbes Fintech 50 list, Mudflap offers fleet fuel management solutions. Our core team hails from Disney, Uber, Procore, DoorDash, Google, Meta, Capital One, Affirm and Brex. Here are the core values that we believe in and look for in new teammates: - Be Customer Obsessed: We deeply understand customer needs and put our customers at the center of everything we do - Make it Count: Act like an owner by focusing on the impact of your work - Find a Way: Be a creative problem solver who pushes past roadblocks to win for our customers and our teammates - Sweat the Details: We keep our standards high and achieve them by paying attention to every detail - Be Curious: Use a growth mindset to question assumptions, take calculated risks and stretch the boundaries of what’s possible", "summaryDescription" : "Senior Data Scientist, Pricing at Mudflap. Skills: Pricing models, Data science, Machine learning. Drive strategic data science initiatives. Lead machine learning projects", "createdAt" : "2026-06-14T20:12:27.286", "lastUpdated" : "2026-06-16T02:07:21.924", "ingestTimestamp" : "2026-06-14T20:12:27.286", "mongoId" : "6a2ca13a74d8ee00a09a4cad", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 185000, "salaryAnnualMax" : 225000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Statistical modeling", "Pricing models", "Elasticity models", "Experiment analysis", "Data science", "Machine learning", "Data science initiatives", "ML projects", "Data-driven decision making", "Experimental design", "Product innovation", "Pricing", "Revenue strategies", "Margin strategies", "Retention strategies", "Fraudulent risk assessment", "Underwriting", "Customer segmentation" ], "skillCount" : 18, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 458.41403, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2ca13a74d8ee00a09a4cac", "title" : "Senior Data Scientist, Product", "company" : "Mudflap", "industry" : "Data", "salary" : { "min" : 185000.0, "max" : 225000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "Palo Alto, CA", "locations" : [ "Palo Alto, CA" ], "timestamp" : "2026-06-15T21:56:28.288", "fingerprint" : "4e9cb2f8d0ac649b285b397d7b594a4c3cce6f80e55c1afcbe39d18cc3580773", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/mudflap/d9f674f7-a443-4211-adb8-31a689972086/application", "externalId" : "d9f674f7-a443-4211-adb8-31a689972086", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Palo Alto", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "37.4443293,-122.1598465" } ], "locationText" : "Palo Alto, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, Machine Learning, A/B testing, Causal inference", "professionalSkills" : [ "Data science initiatives", "Machine learning projects", "Data-driven decision making", "Experimental design", "Product innovation" ], "hardSkillsList" : [ "Predictive modeling", "Statistical analysis", "Experimentation analysis" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Predictive modeling", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Experimentation analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Data Science, Machine Learning, Product Analytics", "majorSkillsList" : [ "Data Science", "Machine Learning", "Product Analytics" ], "coreResponsibilities" : "Drive strategic data science initiatives, Lead end-to-end machine learning projects, Develop predictive models, Build data products, Uncover actionable insights, Drive data-driven decision making, Translate business requirements into analytical solutions, Communicate insights to executive stakeholders, Mentor junior data scientists, Mentor junior analysts, Establish best practices, Provide technical leadership, Conduct code reviews, Develop scalable data science methodologies, Develop scalable data science standards, Lead experimentation strategy, Drive product innovation, Own A/B testing frameworks, Mentor teams on experimental design, Translate test results into product improvements", "teamCollaboration" : "Partner with Product; Partner with Engineering; Partner with Operations; Partner with Leadership; Cross-functional partnerships; Collaborate with Product; Collaborate with Engineering; Collaborate with Ops; Collaborate with Risk teams", "domainKnowledge" : "Fraudulent risk assessment; Underwriting; Customer segmentation", "domainList" : [ "fraudulent-risk-assessment", "underwriting", "customer-segmentation" ], "domainSpecificKnowledge" : [ "Fraudulent risk assessment", "Underwriting", "Customer segmentation" ], "communicationSkills" : "Present complex insights", "outcomesObjectives" : "Influence product strategy; Influence business outcomes; Identify growth opportunities; Measure feature success; Optimize user experiences; Impact platform trajectory", "qualificationsBasic" : "5+ years of experience in data science, Proficiency in SQL, Proficiency in Python, Experience building production-ready models, Experience building production-ready pipelines, Statistical knowledge, Experience designing experiments", "qualificationsPreferred" : "Experience in risk domain, Experience in growth/marketing domain, Experience in product analytics domain, PhD preferred", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Mudflap serves the $800B trucking industry, the backbone of the U.S. economy. Our market-leading payment products help truckers save thousands of dollars on fuel (their #1 business expense), while providing our fuel stop partners with access to new, hard-to-reach customers. We’re a fast-growing marketplace business looking for a new customer-obsessed teammate to join us on this exciting journey. About the Role At Mudflap, we’re building a data-driven decision engine that powers every aspect of our business—from product development and customer experience to growth and operational excellence. We’re looking for a versatile Senior Data Scientist, Product to join our high-impact team. In this role, you’ll partner closely with Product, Engineering, Operations, and Leadership to drive strategic product decisions through advanced analytics, experimentation, and machine learning. You’ll design and analyze A/B tests, develop predictive models, build data products, and uncover actionable insights that influence product strategy and business outcomes. From identifying growth opportunities to measuring feature success and optimizing user experiences, your work will directly impact the trajectory of our platform. Work Location: This role is based in Palo Alto, CA and involves a hybrid work approach, balancing in-office collaboration with the ability to work remotely. To support our team, we offer: - Commuter benefits to ease your travel - Lunches and snacks to keep you fueled - A collaborative, high-growth environment where you’ll work closely with talented teammates across the company What You’ll Do - Drive strategic data science initiatives that directly impact business outcomes, working closely with executive leadership to identify high-value opportunities in your domain. - Lead end-to-end machine learning projects from problem formulation through production deployment, including model development, validation, A/B testing, and performance monitoring. solve high-impact business problems such as fraudulent risk assessment, underwriting, customer segmentation, etc. - Drive data-driven decision making across cross-functional partnerships — Collaborate closely with Product, Engineering, Ops, Risk teams, etc. to translate complex business requirements into analytical solutions and communicate insights to executive stakeholders - Mentor junior data scientists and analysts and establish best practices — Provide technical leadership, code reviews, and strategic guidance while developing scalable data science methodologies and standards across the organization - Lead experimentation strategy and drive product innovation — Own end-to-end A/B testing frameworks, mentor teams on experimental design, and translate test results into actionable product improvements that directly impact key business metrics What We’re Looking For - 5+ years of experience in data science, analytics, or related fields. - Proficiency in SQL and Python for data manipulation, modeling, and automation. - Experience building production-ready models and pipelines. - Strong statistical knowledge and experience designing experiments (A/B testing, cohort analysis, causal inference). - Excellent communication skills—ability to present complex insights clearly to technical and non-technical stakeholders. - Experience in at least one of the domains: risk, growth/marketing, or product analytics preferred. - Comfortable working in a fast-paced startup environment where collaboration and flexibility are essential. Perks and Benefits (What we offer): - Competitive salary and equity in a high-growth startup - Multiple health benefit options - Responsible Time Off - 401(k) matching - Opportunities and support for major career growth - Annual Company offsite event (Mudfest!) The salary range for this role is $185,000 - 225,000. This information reflects a base salary range for this position based on current market data, which may be subject to change as new market data becomes available. The candidate's skills, experience, and other relevant factors will determine the exact compensation. Company Overview (Who we are): Mudflap is on a mission to transform the trucking and logistics industry by leveling the playing field for owner operators and small fleets. Backed by top-tier venture investors, including QED, Matrix Partners, Commerce Ventures, NFX, and 500 Startups and included in the Forbes Fintech 50 list, Mudflap offers fleet fuel management solutions. Our core team hails from Disney, Uber, Procore, DoorDash, Google, Meta, Capital One, Affirm and Brex. Here are the core values that we believe in and look for in new teammates: - Be Customer Obsessed: We deeply understand customer needs and put our customers at the center of everything we do - Make it Count: Act like an owner by focusing on the impact of your work - Find a Way: Be a creative problem solver who pushes past roadblocks to win for our customers and our teammates - Sweat the Details: We keep our standards high and achieve them by paying attention to every detail - Be Curious: Use a growth mindset to question assumptions, take calculated risks and stretch the boundaries of what’s possible", "summaryDescription" : "Senior Data Scientist, Product at Mudflap. Skills: Data Science, Machine Learning, Product Analytics. Drive strategic data science initiatives. Lead end-to-end machine learning projects", "createdAt" : "2026-06-14T18:44:00.734", "lastUpdated" : "2026-06-15T21:56:28.288", "ingestTimestamp" : "2026-06-14T18:44:00.734", "mongoId" : "6a2ca13a74d8ee00a09a4cac", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 185000, "salaryAnnualMax" : 225000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Predictive modeling", "Statistical analysis", "Experimentation analysis", "Leadership", "Mentoring", "Data Science", "Machine Learning", "Product Analytics", "Data science initiatives", "Machine learning projects", "Data-driven decision making", "Experimental design", "Product innovation", "Fraudulent risk assessment", "Underwriting", "Customer segmentation" ], "skillCount" : 16, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 453.0454, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2ce9fa74d8ee00a0a6f49a", "title" : "Senior Data Scientist", "company" : "ESO", "industry" : "Technology", "salary" : { "min" : 150000.0, "max" : 220000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Data Scientist in the US Technology industry, adjusted for seniority and remote work." }, "location" : "United States", "locations" : [ "United States" ], "timestamp" : "2026-06-15T03:30:20.773", "fingerprint" : "bf47052718857d0af2aac9838717cfda3658eb6a7c55328bb230f9d4bf1ea7ae", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.eso.com/careers/job/?gh_jid=4676136005", "externalId" : "4676136005", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 7, "experienceLevel" : "Senior", "technicalSkills" : "Python, Pandas, Numpy, Scikit-learn, Matplotlib, Polars, SQL, XGBoost, LightGBM, PyTorch, TensorFlow, Azure Machine Learning", "professionalSkills" : [ "Data transformation", "Feature engineering", "Model selection", "Hyperparameter tuning", "Algorithm development", "Business needs translation" ], "hardSkillsList" : [ "Machine learning", "Advanced analytics", "Statistical modelling", "Data mining", "ML model deployment" ], "hardSkills" : [ { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Advanced analytics", "level" : "intermediate" }, { "name" : "Statistical modelling", "level" : "intermediate" }, { "name" : "Data mining", "level" : "intermediate" }, { "name" : "ML model deployment", "level" : "intermediate" } ], "majorSkills" : "Machine learning, Data science, ML frameworks, Cloud platforms", "majorSkillsList" : [ "Machine learning", "Data science", "ML frameworks", "Cloud platforms" ], "coreResponsibilities" : "Design machine learning models, Develop machine learning models, Validate machine learning models, Source datasets, Clean datasets, Transform datasets, Conduct exploratory data analysis, Perform feature engineering, Perform model selection, Perform hyperparameter tuning, Implement statistical models, Implement supervised algorithms, Implement unsupervised algorithms, Implement time series forecasting, Develop reproducible code, Develop documented code, Communicate findings, Communicate insights, Translate business problems, Contribute to model operationalization", "teamCollaboration" : "Cross-functional teams; Engineering teams; Research teams; Product teams; Clinical subject matter experts", "domainKnowledge" : "Community health; EMS agencies; Fire departments; Hospitals", "domainList" : [ "community-health", "ems-agencies", "fire-departments", "hospitals" ], "domainSpecificKnowledge" : [ "Community health", "EMS agencies", "Fire departments", "Hospitals" ], "toolProficiency" : [ "Scikit-learn", "XGBoost", "LightGBM", "PyTorch", "TensorFlow", "Snowflake" ], "communicationSkills" : "Clear visualizations; Presentations", "documentationSkills" : "Well-documented code", "continuousLearning" : "Stay current with advancements", "innovationCreativity" : "Innovative projects", "problemSolvingSkills" : "Problem-solving skills", "outcomesObjectives" : "Drive business outcomes", "qualificationsBasic" : "5-7 years professional experience, Python proficiency, ML model development experience, MLOps tools experience, SQL proficiency, Statistical modelling knowledge", "qualificationsPreferred" : "Experience deploying ML models using Azure Machine Learning, Familiarity with Snowflake", "remoteFriendly" : true, "rawDescription" : "About ESO ESO is a fast-paced, growing data, technology, and research company passionate about improving community health and safety through the power of data. We pioneer innovative, user-friendly software to meet the changing needs of today’s EMS agencies, fire departments, and hospitals. How You’ll Support Our Mission We are seeking a highly motivated and experienced Senior Data Scientist to join our Data Platform team. In this role, you will contribute to the design, development, and deployment of machine learning models and advanced analytics solutions that power our products and drive meaningful business outcomes. You will work closely with our engineering and research teams, collaborating on innovative projects that leverage modern ML frameworks, robust data pipelines, and scalable cloud platforms. What You’ll Be Doing - The Day to Day Design, develop, and validate machine learning models for a variety of prediction, classification, and optimization tasks. Collaborate with data engineers, product teams, researchers, and clinical subject matter experts to source, clean, and transform large, complex datasets for modelling and analysis. Conduct exploratory data analysis, feature engineering, model selection, and hyperparameter tuning using modern ML libraries. Implement and evaluate statistical models, supervised/unsupervised algorithms, and time series forecasting methods. Develop reproducible, well-documented code using Python and industry-standard ML frameworks (e.g., scikit-learn, XGBoost, LightGBM, PyTorch, TensorFlow). Communicate findings and insights to both technical and non-technical stakeholders through clear visualizations and presentations. Translate business problems into machine learning solutions and contribute to model operationalization strategies. Stay current with advancements in machine learning, AI, and data science practices. Who You Are - The Essentials 5-7 years of professional experience developing machine learning and data science solutions in production environments. Strong proficiency in Python, including core data science libraries: pandas, numpy, scikit-learn, matplotlib, polars, etc. Experience with ML model development, evaluation, and deployment workflows. Experience with MLOps tools and practices. Hands-on experience with SQL and working with large-scale relational datasets. Solid understanding of statistical modelling, data mining, and algorithm development. Experience working in cross-functional teams and translating business needs into technical solutions. Excellent communication, problem-solving, and analytical skills. Who You Are - The Desirables (It’s a plus if you have):  Experience deploying ML models using Azure Machine Learning or other cloud-native ML platforms. Familiarity with Snowflake for data access, feature storage, or model deployment integration. Benefits gender identity; gender reassignment; age; religion; race; national origin; political affiliation; sexual orientation; disability; veteran status; or other non-merit factor. Applicant Privacy Notice – please click here to review the privacy policy which details how your data is collected, used and protected.", "summaryDescription" : "Senior Data Scientist at ESO. Skills: Machine learning, Data science, ML frameworks, Cloud platforms. Design machine learning models. Develop machine learning models", "postedDate" : "2026-06-13T21:51:45.559", "createdAt" : "2026-06-13T21:51:45.559", "lastUpdated" : "2026-06-15T03:30:20.773", "ingestTimestamp" : "2026-06-13T21:51:45.559", "mongoId" : "6a2ce9fa74d8ee00a0a6f49a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 150000, "salaryAnnualMax" : 220000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Machine learning", "Advanced analytics", "Statistical modelling", "Data mining", "ML model deployment", "Data science", "ML frameworks", "Cloud platforms", "Data transformation", "Feature engineering", "Model selection", "Hyperparameter tuning", "Algorithm development", "Business needs translation", "Community health", "EMS agencies", "Fire departments", "Hospitals", "Scikit-learn", "XGBoost", "LightGBM", "PyTorch", "TensorFlow", "Snowflake" ], "skillCount" : 24, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 452.84933, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2cca1d74d8ee00a0a22461", "title" : "Senior Environmental Scientist", "company" : "HDR", "industry" : "Consulting", "salary" : { "min" : 106820.0, "max" : 183120.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Multiple Locations", "locations" : [ "Multiple Locations" ], "certifications" : [ "Professional Wetland Scientist (PWS)" ], "timestamp" : "2026-06-15T10:35:21.452", "fingerprint" : "4aa835c7eb0a67388af3447c83b707c0e1d8cc2b49f7a0e9366136694e1627ee", "source" : "taleo", "language" : "en", "applyUrl" : "https://hdr.taleo.net/careersection/ex/jobdetail.ftl?job=784853", "externalId" : "784853", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" }, { "city" : "Bellevue", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6144219,-122.1923370" }, { "city" : "Everett", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.9793437,-122.2127011" }, { "city" : "Gig Harbor", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.3259697,-122.5878659" }, { "city" : "Olympia", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.0451022,-122.8950075" } ], "locationText" : "Seattle, Washington, United States; Bellevue, Washington, United States; Everett, Washington, United States; Gig Harbor, Washington, United States; Olympia, Washington, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "GIS software, Webmaps, GPS units", "professionalSkills" : [ "Ecological assessment", "Environmental impact analysis", "Environmental due diligence", "Natural resources management", "Technical writing", "Technical editing", "Quality assurance", "Quality control", "Client-agency communications", "Proposal development" ], "hardSkillsList" : [ "Wetland delineations", "Stream delineations", "Functional assessments", "Wildlife surveys", "Habitat evaluations", "Permitting applications", "Critical areas reports", "Mitigation plans", "Monitoring plans", "NEPA documents", "SEPA documents", "Biological evaluations", "Biological assessments", "Field data collection" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Wetland delineations", "level" : "intermediate" }, { "name" : "Stream delineations", "level" : "intermediate" }, { "name" : "Functional assessments", "level" : "intermediate" }, { "name" : "Wildlife surveys", "level" : "intermediate" }, { "name" : "Habitat evaluations", "level" : "intermediate" }, { "name" : "Permitting applications", "level" : "intermediate" }, { "name" : "Critical areas reports", "level" : "intermediate" }, { "name" : "Mitigation plans", "level" : "intermediate" }, { "name" : "Monitoring plans", "level" : "intermediate" }, { "name" : "NEPA documents", "level" : "intermediate" }, { "name" : "SEPA documents", "level" : "intermediate" }, { "name" : "Biological evaluations", "level" : "intermediate" }, { "name" : "Biological assessments", "level" : "intermediate" }, { "name" : "Field data collection", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Environmental science, Natural resources, Permitting, Ecological assessment", "majorSkillsList" : [ "Environmental science", "Natural resources", "Permitting", "Ecological assessment" ], "coreResponsibilities" : "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", "teamCollaboration" : "Junior and mid-level environmental staff; 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NEPA documents; SEPA documents; Biological evaluations; Biological assessments", "continuousLearning" : "Tuition reimbursement", "problemSolvingSkills" : "Environmental impact analysis; Environmental due diligence", "specialRequirements" : "Candidates will need to travel, Ability to travel locally, Valid Washington State Driver’s license", "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", "qualificationsPreferred" : "Field experience with wetland and wildlife species 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 resources management, Organization skills, Ability to work in fast-paced 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 employee-owned culture, Field data collection expertise in wildlife species, habitat, and wetlands and streams using GPS units, Experience with GPS units, GIS software and webmaps, Local candidates preferred, Valid Washington State Driver’s license, Ability to travel locally on a regular basis", "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, Ecological assessment. Lead and direct wetland and stream delineations. 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"applyUrl" : "https://boards.greenhouse.io/flagshippioneeringinc/jobs/8587024002?gh_jid=8587024002", "externalId" : "8587024002", "industryFunction" : { }, "locationText" : "FL106", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SiRNA, Flow cytometry, Microscopy, FACS, MACS, Confocal microscopy, Live-cell imaging, High-content imaging, ScRNA-seq, CITE-seq, Spatial transcriptomics, QPCR, Western blotting, ELISA, Multiplex cytokine assays, RNA-seq, Transcriptomic analysis, Immunohistochemistry, Immunofluorescence", "professionalSkills" : [ "Scientific leadership", "Program strategy", "Target validation", "Pathway interrogation", "Mechanism studies", "Biomarker discovery", "Translational research", "Experimental design", "Data interpretation", "Scientific documentation", "Program advancement", "Cross-functional teams", "Research strategy" ], "hardSkillsList" : [ "Cell isolation", "Cell sorting", "Mouse studies", "Gene silencing", "Microscopy experiments", "Molecular biology", "Cellular biology", "Cell profiling", "Quantitative data analysis", "Statistical analysis" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Cell isolation", "level" : "intermediate" }, { "name" : "Cell sorting", "level" : "intermediate" }, { "name" : "Mouse studies", "level" : "intermediate" }, { "name" : "Gene silencing", "level" : "intermediate" }, { "name" : "Microscopy experiments", "level" : "intermediate" }, { "name" : "Molecular biology", "level" : "intermediate" }, { "name" : "Cellular biology", "level" : "intermediate" }, { "name" : "Cell profiling", "level" : "intermediate" }, { "name" : "Quantitative data analysis", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Cell isolation, Cell sorting, SiRNA, Flow cytometry, Microscopy", "majorSkillsList" : [ "Cell isolation", "Cell sorting", "SiRNA", "Flow cytometry", "Microscopy" ], "coreResponsibilities" : "Design experiments, Execute experiments, Analyze experiments, Perform multi-parameter flow cytometry, Design flow cytometry panels, Optimize flow cytometry panels, Troubleshoot flow cytometry, Interpret flow cytometry data, Perform cell isolation, Optimize cell isolation, Perform cell sorting, Execute mouse studies, Develop mouse models, Dose mouse studies, Collect tissue, Characterize phenotypes, Develop siRNA approaches, Apply siRNA approaches, Perform microscopy-based experiments, Analyze imaging datasets, Utilize molecular techniques, Utilize cellular techniques, Support target validation, Support mechanism-of-action studies, Design cell profiling experiments, Analyze cell profiling experiments, Interpret cell profiling experiments, Contribute to biomarker discovery, Contribute to translational research, Contribute to preclinical characterization, Analyze experimental findings, Interpret experimental findings, Present findings, Generate technical reports, Generate presentations, Generate study summaries, Generate scientific documentation, Collaborate with internal teams, Collaborate with CROs, Collaborate with academic partners, Collaborate with external partners, Mentor junior scientists, Contribute to research environment, Provide scientific leadership, Contribute to research strategy, Lead cross-functional initiatives, Maintain experimental records, Ensure compliance", "teamCollaboration" : "Cross-functional teams; Senior leadership; Internal teams; CROs; Academic collaborators; External partners; Junior scientists; Research environment", "domainKnowledge" : "Drug delivery modalities; Biotechnology; Gene silencing; siRNA; Mouse models; Cell biology; Molecular biology; Pharmacology; Immunology; Biomedical Sciences; Translational research; Drug discovery; Preclinical development; Single-cell biology; Spatial biology", "domainList" : [ "drug-delivery-modalities", "biotechnology", "gene-silencing", "sirna", "mouse-models", "cell-biology", "molecular-biology", "pharmacology", "immunology", "biomedical-sciences", "translational-research", "drug-discovery", "preclinical-development", "single-cell-biology", "spatial-biology" ], "domainSpecificKnowledge" : [ "Drug delivery modalities", "Biotechnology", "Gene silencing", "siRNA", "Mouse models", "Cell biology", "Molecular biology", "Pharmacology", "Immunology", "Biomedical Sciences", "Translational research", "Drug discovery", "Preclinical development", "Single-cell biology", "Spatial biology" ], "toolProficiency" : [ "FlowJo" ], "communicationSkills" : "Presentation; Scientific writing", "documentationSkills" : "Technical reports; Presentations; Study summaries; Scientific documentation; Experimental records", "innovationCreativity" : "Innovative research environment", "problemSolvingSkills" : "Troubleshooting; Data analysis; Experimental design; Statistical analysis", "qualificationsBasic" : "Ph.D. in Cell Biology, 6+ years of experience, M.S. degree with substantial industry experience, Expertise in flow cytometry, Cell sorting (FACS), Panel design, Troubleshooting, Data analysis using FlowJo, Hands-on experience with cell isolation, Tissue dissociation, Magnetic bead-based separation, Extensive experience with mouse models, In vitro experimental techniques, SiRNA design, Delivery, Optimization, Functional validation, Hands-on experience with microscopy platforms, Fluorescence, Confocal, Live-cell, High-content imaging systems, Quantitative data analysis, Experimental design, Statistical analysis skills, Excellent communication skills, Presentation skills, Scientific writing skills, Ability to work independently, Ability to work collaboratively", "qualificationsPreferred" : "Experience in translational research, Drug discovery, Preclinical therapeutic development, Experience in biotechnology industry, Pharmaceutical industry settings, Experience with cell profiling, Phenotyping, Functional assays, Primary mouse and human cells, Established cell lines, Experience with single-cell technologies, Spatial biology technologies, ScRNA-seq, CITE-seq, Spatial transcriptomics, Experience managing CROs, External collaborators, Cross-functional project teams, Proficiency with qPCR, Western blotting, ELISA, Multiplex cytokine assays, RNA-seq, Transcriptomic analysis, Gene silencing approaches, Gene-editing approaches, Protein overexpression systems, Immunohistochemistry (IHC), Immunofluorescence (IF), Advanced flow", "rawDescription" : "Company Summary FL106 Inc. is a privately held, early-stage biotechnology company focused on developing novel drug delivery modalities. FL106 is backed by Flagship Pioneering, which provides the strategic vision and resources to advance FL106 from platform validation to clinical impact. Position Summary We are seeking a highly motivated and experienced Senior Scientist to join our research team. The successful candidate will possess deep expertise in cell isolation and sorting, in vivo/ in vitro mouse studies, gene-silencing technologies (siRNA), flow cytometry and advanced microscopy techniques. This individual will play a key role in designing, executing, and interpreting preclinical studies to therapeutic programs. Depending on experience and demonstrated leadership, the candidate may lead research initiatives, mentor team members, manage external collaborations, and contribute to scientific and program strategy. Key Responsibilities Design, execute, and analyze complex in vitro and ex vivo experiments to support discovery and preclinical research programs. Lead and perform multi-parameter flow cytometry assays, including panel design, optimization, troubleshooting, and data interpretation. Perform and optimize cell isolation and cell sorting (e.g., FACS, MACS) from various tissues and biological samples. Execute in vivo mouse studies, including disease model development, dosing, tissue collection, and phenotypic characterization. Develop and apply siRNA-based approaches for target validation, pathway interrogation, and mechanistic studies. Design and perform microscopy-based experiments, including fluorescence, confocal, live-cell, and high-content imaging, and analyze imaging datasets. Utilize complementary molecular and cellular biology techniques to support target validation and mechanism-of-action studies. Design, analyze, and interpret cell profiling experiments using flow cytometry, imaging, and molecular approaches. Contribute to biomarker discovery, translational research efforts, and preclinical candidate characterization. Analyze, interpret, and present experimental findings to cross-functional teams and senior leadership. Generate technical reports, presentations, study summaries, and scientific documentation to support program advancement. Collaborate effectively with internal teams, CROs, academic collaborators, and external partners. Mentor junior scientists and contribute to a collaborative, innovative research environment. For Senior Scientist and Principal Scientist levels, provide scientific leadership, contribute to research strategy, and lead cross-functional initiatives. Maintain accurate experimental records and ensure compliance with institutional, ethical, and regulatory guidelines. Qualifications Ph. D. in Cell Biology, Genetics, Molecular Biology, Pharmacology, Immunology, Biomedical Sciences, or a related field with 6+ years of relevant experience for Senior Scientist roles; 8+ years of industry experience and demonstrated scientific leadership for Principal Scientist roles. Alternatively, an M. S. degree with substantial relevant industry experience. Strong expertise in flow cytometry, including cell sorting (FACS), panel design, troubleshooting, and data analysis using FlowJo or equivalent software. Hands-on experience with cell isolation techniques, including tissue dissociation and magnetic bead-based separation. Extensive experience with mouse models and in vitro experimental techniques. Demonstrated expertise in siRNA design, delivery, optimization, and functional validation. Hands-on experience with microscopy platforms, including fluorescence, confocal, live-cell, and high-content imaging systems. Strong quantitative data analysis, experimental design, and statistical analysis skills. Excellent communication, presentation, and scientific writing skills. Ability to work independently and collaboratively in a fast-paced, multidisciplinary environment. Preferred Qualifications Experience in translational research, drug discovery, or preclinical therapeutic development. Experience in biotechnology or pharmaceutical industry settings. Experience with cell profiling, phenotyping, and functional assays using primary mouse and human cells, as well as established cell lines. Experience with single-cell and/or spatial biology technologies, including scRNA-seq, CITE-seq, or spatial transcriptomics. Experience managing CROs, external collaborators, and cross-functional project teams. Proficiency with additional molecular and cellular biology techniques, including: qPCR Western blotting ELISA and multiplex cytokine assays RNA-seq and transcriptomic analysis Gene silencing and gene-editing approaches Protein overexpression systems Immunohistochemistry (IHC), immunofluorescence (IF), and advanced flow cytometry applications Experience with image analysis software such as ImageJ/Fiji, CellProfiler, Imaris, or equivalent platforms. Experience with computational analysis of flow cytometry, imaging, or transcriptomic datasets. Track record of scientific publications, patents, and/or successful advancement of therapeutic programs. About Flagship Flagship Pioneering is a bioplatform innovation company that invents and builds platform companies, each with the potential for multiple products that transform human health or sustainability. Since its launch in 2000, Flagship has originated and fostered more than 100 scientific ventures, resulting in generation of over 500 patents, initiation of over 50 clinical trials for novel therapeutic agents and an aggregate value of more than $90 billion. Many of the companies Flagship has founded have addressed humanity’s most urgent challenges: vaccinating billions of people against COVID-19, curing intractable diseases, improving human health, preempting illness, and feeding the world by improving the resiliency and sustainability of agriculture. Flagship has been recognized twice on FORTUNE’s “Change the World” list, an annual ranking of companies that have made a positive social and environmental impact through activities that are part of their core business strategies and has been twice named to Fast Company’s annual list of the World’s Most Innovative Companies. Learn more about Flagship at www.flagshippioneering.com. Flagship Pioneering is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. At Flagship, we recognize there is no perfect candidate. If you have some of the experience listed above but not all, please apply anyway. Experience comes in many forms, skills are transferable, and passion goes a long way. We are dedicated to building diverse and inclusive teams and look forward to learning more about your unique background. Recruitment & Staffing Agencies: Flagship Pioneering and its affiliated Flagship Lab companies (collectively, “FSP”) do not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to FSP or its employees is strictly prohibited unless contacted directly by Flagship Pioneering’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of FSP, and FSP will not owe any referral or other fees with respect thereto. Privacy Notice for Applicants: When you apply for a role at Flagship Pioneering or one of its portfolio companies, we collect and use personal information you provide (such as your name, contact details, work history, and application materials) to evaluate your application, communicate with you, and comply with legal obligations. Your application data is processed through Greenhouse, our applicant tracking system, and may also be reviewed using AI-assisted screening tools. We do not sell your personal information. California residents have rights under the CCPA/CPRA including to know, delete, and opt out of the sharing of their personal information. If you are located in the EU or UK, we process your data under GDPR and you have rights to access, rectify, and erase your data. To exercise your rights or for questions, contact privacy@flagshippioneering.com.", "summaryDescription" : "Senior Scientist, Biology at Flagship Pioneering, Inc.. Skills: Cell isolation, Cell sorting, SiRNA, Flow cytometry, Microscopy. Design experiments. Execute experiments", "postedDate" : "2026-06-14T02:59:14.196", "createdAt" : "2026-06-14T02:59:14.196", "lastUpdated" : "2026-06-15T10:56:40.657", "ingestTimestamp" : "2026-06-14T02:59:14.196", "mongoId" : "6a2c6b1874d8ee00a09102e0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "hasSalary" : false, "allSkills" : [ "Cell isolation", "Cell sorting", "Mouse studies", "Gene silencing", "Microscopy experiments", "Molecular biology", "Cellular biology", "Cell profiling", "Quantitative data analysis", "Statistical analysis", "Leadership", "Mentoring", "SiRNA", "Flow cytometry", "Microscopy", "Scientific leadership", "Program strategy", "Target validation", "Pathway interrogation", "Mechanism studies", "Biomarker discovery", "Translational research", "Experimental design", "Data interpretation", "Scientific documentation", "Program advancement", "Cross-functional teams", "Research strategy", "Drug delivery modalities", "Biotechnology", "siRNA", "Mouse models", "Cell biology", "Pharmacology", "Immunology", "Biomedical Sciences", "Drug discovery", "Preclinical development", "Single-cell biology", "Spatial biology", "FlowJo" ], "skillCount" : 41, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "_score" : 447.61722, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.98 }, { "id" : "6a3059f5f292fd229cf4c39f", "title" : "Senior Manager, Organic Growth & Website Experience", "company" : "Wave", "industry" : "Growth Marketing", "salary" : { "min" : 114500.0, "max" : 129000.0, "currency" : "CAD", "frequency" : "yearly" }, "location" : "Canada", "locations" : [ "Canada" ], "timestamp" : "2026-06-16T12:42:09.428", "fingerprint" : "09c0368f3505f96b8cea7f922779472cb52974689e8aa9e82b916be1ceb56b16", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/waveapps/d8c70dc8-d5f2-4917-bdb9-4f63faedb103/apply", "externalId" : "d8c70dc8-d5f2-4917-bdb9-4f63faedb103", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Canada", "continent" : "na", "workMode" : "remote" }, { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "Canada; United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceLevel" : "Manager", "technicalSkills" : "SEO, AI search, AEO, GEO", "professionalSkills" : [ "Growth marketing", "Website optimization", "Content strategy", "CRO", "Experimentation", "Cross-functional leadership" ], "hardSkillsList" : [ "Technical SEO", "Content optimization" ], "hardSkills" : [ { "name" : "Technical SEO", "level" : "intermediate" }, { "name" : "Content optimization", "level" : "intermediate" } ], "majorSkills" : "Organic growth, Website experience, SEO, CRO", "majorSkillsList" : [ "Organic growth", "Website experience", "SEO", "CRO" ], "coreResponsibilities" : "Drive Organic Growth, Develop organic growth initiatives, Increase qualified traffic, sign-ups, activation, and revenue, Develop approach to Answer Engine Optimization, Develop approach to Generative Engine Optimization, Monitor shifts in search and discovery behaviour, Identify opportunities to strengthen visibility, Evaluate emerging channels, technologies, and AI platforms, Establish reporting and dashboards, Lead Website Experience & Optimization, Own website strategy, roadmap, and performance, Ensure website delivers best-in-class experience, Support acquisition, education, activation, and conversion, Build experimentation program, Improve conversion rates, Optimize customer journeys, Optimize key customer website flows, Drive Search Excellence & Content Authority, Lead technical SEO initiatives, Lead site architecture initiatives, Lead structured data initiatives, Lead content optimization initiatives, Build strategies to increase visibility, Build strategies to increase authority, Build strategies to increase recommendation rates, Create search-informed content, Drive acquisition and engagement, Test and refine messaging, topics, and format", "teamCollaboration" : "Partner with Product; Partner with Design; Partner with Lifecycle Marketing", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "SaaS; Fintech; Product-led growth; AI search; Digital discovery", "domainList" : [ "saas", "fintech", "product-led-growth", "ai-search", "digital-discovery" ], "domainSpecificKnowledge" : [ "SaaS", "Fintech", "Product-led growth", "AI search", "Digital discovery" ], "toolProficiency" : [ "Analytics platforms", "Experimentation platforms", "SEO platforms" ], "outcomesObjectives" : "Increase qualified traffic; Increase sign-ups; Increase activation; Increase revenue; Improve conversion rates; Strengthen visibility; Increase authority; Increase recommendation rates", "qualificationsBasic" : "8+ years of experience in SEO, organic growth, website optimization, or growth marketing, Proven success growing acquisition, conversion, and revenue in a SaaS, fintech, or product-led growth environment, Deep expertise in technical SEO, content strategy, website optimization, and CRO, 3+ years of people leadership experience", "qualificationsPreferred" : "Understanding of AEO, GEO, AI search, and the future of digital discovery", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Description At Wave, we help small businesses to thrive so the heart of our communities beats stronger. We work in an environment buzzing with creative energy and inspiration. No matter where you are or how you get the job done, you have what you need to be successful and connected. The mark of true success at Wave is the ability to be bold, learn quickly and share your knowledge generously. ## Here's How You Make an Impact Drive Organic Growth Develop and execute organic growth initiatives across SEO, AI search, and owned digital experiences that increase qualified traffic, sign-ups, activation, and revenue. Develop Wave's approach to Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO). Monitor shifts in search and discovery behaviour, identifying opportunities to strengthen Wave’s visibility and market leadership. Evaluate emerging channels, technologies, and AI platforms that influence how small business owners discover solutions. Establish reporting and dashboards that provide clear visibility into performance and impact. Lead Website Experience & Optimization Own the website strategy, roadmap, and performance across Wave’s digital properties. Ensure the website effectively delivers a best-in-class experience that supports acquisition, education, activation, and conversion. Build and lead a robust experimentation program focused on improving conversion rates and customer journeys. Partner with Product, Design, and Lifecycle Marketing teams to optimize key customer website flows. Drive Search Excellence & Content Authority Lead technical SEO, site architecture, structured data, and content optimization initiatives. Build strategies that increase Wave's visibility, authority, and recommendation rates across traditional and AI search experiences. Partner with Product Marketing and Content teams to create search-informed content that drives acquisition and engagement. Continuously test and refine messaging, topics, and format based on data and audience insights. ## You Thrive Here By Possessing the Following 8+ years of experience in SEO, organic growth, website optimization, or growth marketing. Proven success growing acquisition, conversion, and revenue in a SaaS, fintech, or product-led growth environment. Deep expertise in technical SEO, content strategy, website optimization, and CRO. Strong understanding of AEO, GEO, AI search, and the future of digital discovery. Experience with analytics, experimentation, and SEO platforms. Strong analytical, strategic, and cross-functional leadership skill 3+ years of people leadership experience. ## Additional Information At Wave, we value diversity of perspective. Your unique experience enriches our organization. We welcome applicants from all backgrounds. Let’s talk about how you can thrive here! Wave is committed to providing an inclusive and accessible candidate experience. If you require accommodations during the recruitment process, please let us know by emailing careers@waveapps.com. We will work with you to meet your needs. We use Google Gemini, a secure AI assistant, during interviews for note-taking purposes only. Notes are kept confidential and are not shared outside the hiring process. This allows our interviewers to stay fully focused on you during the conversation. This advertised posting is a current vacancy. ", "summaryDescription" : "Senior Manager, Organic Growth & Website Experience at Wave. Skills: Organic growth, Website experience, SEO, CRO. Drive Organic Growth. Develop organic growth initiatives", "postedDate" : "2026-06-15T19:40:07.599", "createdAt" : "2026-06-15T19:40:07.599", "lastUpdated" : "2026-06-16T12:42:09.428", "ingestTimestamp" : "2026-06-16T03:22:33.014", "mongoId" : "6a3059f5f292fd229cf4c39f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Technical SEO", "Content optimization", "Organic growth", "Website experience", "SEO", "CRO", "Growth marketing", "Website optimization", "Content strategy", "Experimentation", "Cross-functional leadership", "Roadmap planning", "SaaS", "Fintech", "Product-led growth", "AI search", "Digital discovery", "Analytics platforms", "Experimentation platforms", "SEO platforms" ], "skillCount" : 20, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "_score" : 447.20248, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c8d6b74d8ee00a0978e54", "title" : "Senior Data Scientist", "company" : "Jerry.ai", "industry" : "Data", "salary" : { "min" : 150000.0, "max" : 170000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "San Francisco Bay Area", "locations" : [ "San Francisco Bay Area", "Boston, Massachusetts", "Atlanta, Georgia", "Denver, Colorado", "Austin, Texas", "New York, New York", "Miami, Florida" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-15T03:25:11.586", "fingerprint" : "7fc92daf5efca08068c84af0ec2b31a0de7d8b0d3c3f99eda9ec7b72077ef7b5", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/jerry.ai/9e3f7147-e9c5-4df9-a2d9-60c690a29776/application", "externalId" : "9e3f7147-e9c5-4df9-a2d9-60c690a29776", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "San Francisco, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, Jupyter Hub, GitHub", "professionalSkills" : [ "First principles thinking", "Problem solving" ], "hardSkillsList" : [ "Data analysis", "Statistical analysis", "Experiment design" ], "softSkillsList" : [ "Direct communicator", "Owner" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Experiment design", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Direct communicator" }, { "name" : "Owner" } ], "majorSkills" : "Data Science, Analytics Engineering, Machine Learning, Business Intelligence", "majorSkillsList" : [ "Data Science", "Analytics Engineering", "Machine Learning", "Business Intelligence" ], "coreResponsibilities" : "Define problems, Define metrics, Build reports, Run analyses, Design experiments, Surface data insights, Bring recommendations, Tell what's happening, Tell why, Tell next steps", "teamCollaboration" : "Embedded in business unit; Counterparts in product; Counterparts in growth; Counterparts in finance; Counterparts in operations", "domainKnowledge" : "Car insurance; Driving insights; Home insurance; AI; Automation", "domainList" : [ "car-insurance", "driving-insights", "home-insurance", "ai", "automation" ], "domainSpecificKnowledge" : [ "Car insurance", "Driving insights", "Home insurance", "AI", "Automation" ], "toolProficiency" : [ "SQL", "Clickhouse", "Metabase", "Python", "Jupyter Hub", "GitHub" ], "communicationSkills" : "Persuasive communicator; Leadership communication", "problemSolvingSkills" : "First principles thinker; Analytical", "outcomesObjectives" : "Move key metrics; Drive business outcome; Go from 5M to 50M customers; Become a $10B business", "qualificationsBasic" : "4+ years experience, Analytical ability, SQL proficiency, Python proficiency, Track record owning analytical problems, Clear communicator", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer, AWS Data Analytics, Databricks Certified, Dbt Certified", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "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, a repair marketplace, and home. 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 MBB 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 driving 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 adding a few new members 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 here 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. You 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 product or 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 analytical problems and driving them to a business outcome. - 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. Skills: Data Science, Analytics Engineering, Machine Learning, Business Intelligence. Define problems. 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Environmental planning; Environmental compliance; EIS documents; Transportation infrastructure; Large facility projects; Land management projects; Infrastructure projects", "domainList" : [ "nepa-process", "environmental-planning", "environmental-compliance", "eis-documents", "transportation-infrastructure", "large-facility-projects", "land-management-projects", "infrastructure-projects" ], "domainSpecificKnowledge" : [ "NEPA process", "Environmental planning", "Environmental compliance", "EIS documents", "Transportation infrastructure", "Large facility projects", "Land management projects", "Infrastructure projects" ], "communicationSkills" : "Writing skills", "documentationSkills" : "EIS documents", "problemSolvingSkills" : "Problem-solving abilities", "qualificationsBasic" : "Bachelor's degree in Environment Science, 10 years experience in complex environmental planning/compliance projects, Demonstrated knowledge of the NEPA process, Experience managing large, complex EIS documents, Technical expertise in environmental studies, Proficient with MS Office", "qualificationsPreferred" : "Staff management experience beneficial", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "Required Qualifications Bachelor's degree in Environment Science or closely related field 10 years experience in complex environmental planning/compliance projects Demonstrated knowledge of the NEPA process Experience managing large, complex EIS documents for transportation, large facility, land management, or other infrastructure projects Technical expertise in the design, implementation, interpretation and presentation of data for environmental studies and investigations in specialized discipline Proficient with MS Office Self-starter with excellent writing and communication skills Strong conceptual, organizational, problem-solving and research abilities Ability to work independently and as part of a team Staff management experience beneficial An attitude and commitment to being an active participant of our employee-owned culture is a must What We Believe HDR is our company. Together, we build on each other's life experiences and perspectives to make great things possible every day. This shapes our collaborative culture, encourages organizational trust and connects us closer to the clients and communities we serve. Our Commitment As employee owners, we all have a role in creating an inclusive environment where each of us is welcomed, valued, respected and empowered to bring our authentic selves to work every day. Our eight Employee Network Groups (Asian Pacific, Black, Hispanic/Latino(a), LGBTQ+, People with Disabilities, Veterans, Women, Young Professionals) help create a sense of belonging and foster a supportive environment where everyone is empowered to engage and contribute. Each group has an executive sponsor and is open to all employees. United States-Maine-Portland", "summaryDescription" : "Senior Environmental Scientist. Skills: NEPA process, Environmental planning, EIS management. Manage large, complex EIS documents. 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