{ "count" : 170354, "data" : [ { "id" : "69ce5e3b9bc74574cb677aa8", "title" : "Sales Data Analysis", "company" : "Beijing Mercedes-Benz Sales Service Co.", "industry" : "Retail", "salary" : { "min" : 150000.0, "max" : 250000.0, "currency" : "CNY", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a junior sales data analyst in Beijing, China, with adjustments for the automotive industry and company size." }, "location" : "China (Mainland)-Beijing-Beijing", "locations" : [ "China (Mainland)-Beijing-Beijing", "Daimler Tower, 8 Wangjing Street, , Beijing" ], "timestamp" : "2026-06-15T13:43:47.516", "fingerprint" : "6cb0dd412af2e7f9ea9660c00f521a0f4655e5f18db98b0278517305d4f706d0", "source" : "taleo", "language" : "en", "applyUrl" : "https://daimler.taleo.net/careersection/ex/jobdetail.ftl?job=883272", "externalId" : "883272", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Beijing", "country" : "China", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "39.9057136,116.3912972" } ], "locationText" : "Beijing, China", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 2, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "SQL, Python, R, Excel Power Query, Tableau Prep, Alteryx, Tableau, Power BI", "professionalSkills" : [ "Market trend analysis", "Sales performance analysis", "Data visualization" ], "hardSkillsList" : [ "Data extraction", "Data processing", "Data validation", "Sales reporting", "Dashboard creation" ], "hardSkills" : [ { "name" : "Data extraction", "level" : "intermediate" }, { "name" : "Data processing", "level" : "intermediate" }, { "name" : "Data validation", "level" : "intermediate" }, { "name" : "Sales reporting", "level" : "intermediate" }, { "name" : "Dashboard creation", "level" : "intermediate" } ], "majorSkills" : "Data analysis, Sales reporting, Data visualization", "majorSkillsList" : [ "Data analysis", "Sales reporting", "Data visualization" ], "coreResponsibilities" : "Extract, process, and validate sales data, Support sales reporting and performance, Prepare accurate and timely sales reports, Assist in market trend analysis, Assist in ad-hoc topics analysis, Prepare presentation for sales related, Collaborate with IT and data teams, Ensure data integrity and accessibility, Cleanse and validate data, Maintain data extraction processes and scripts, Report on sales KPIs, Deliver month-end/year-end retail landing results, Create dashboards, analysis, reports, and visualizations, Provide business insight, Analyze market trends and sales performance, Support tactical teams with data, Help prepare presentation materials, Document data extraction and reporting processes, Improve data structures and reporting efficiency, Ensure compliance with data security and governance policies", "teamCollaboration" : "Collaborate with IT; Collaborate with data teams", "domainKnowledge" : "Sales reporting; Automotive industry; Sales industry", "domainList" : [ "sales-reporting", "automotive-industry", "sales-industry" ], "domainSpecificKnowledge" : [ "Sales reporting", "Automotive industry", "Sales industry" ], "toolProficiency" : [ "SQL", "Python", "R", "Excel Power Query", "Tableau Prep", "Alteryx", "Tableau", "Power BI" ], "communicationSkills" : "Presentation preparation", "documentationSkills" : "Document data extraction; Document reporting processes", "problemSolvingSkills" : "Data analysis; Ad-hoc analysis", "outcomesObjectives" : "Support sales reporting and performance; Prepare accurate and timely sales reports; Deliver month-end/year-end retail landing results", "qualificationsBasic" : "Bachelor degree or above, Data analysis tools or scripting, SQL, Python, R, Excel Power Query, Tableau Prep, Alteryx, English level CET 6", "qualificationsPreferred" : "Data Science, Business, Information Systems, or related fields, Familiarity with data visualization tools, 2 years' experience in data extraction, reporting, or automotive or sales industry background, High attention to detail, Commitment to data accuracy", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Objective of job: 1. Extract, process, and validate sales data from data lakes and databases using data analysis tools or scripting methods (SQL, database, & etc.) to support sales reporting and performance tracking; 2. Prepare accurate and timely sales reports to support sales steering; 3. Assist in market trend analysis and ad-hoc topics analysis ; 4. Presentation preparation for sales related topics; 5. Collaborate with IT and data teams to ensure data integrity and accessibility for sales reporting. Task description: 1. Data Extraction & Processing - Extract sales data from data sources using appropriate tools or scripts - Cleanse and validate data to ensure accuracy and consistency - Maintain data extraction processes and scripts (where applicable) 2. Sales Reporting & Dashboards - Responsible for in-time and accurate operational report and analysis for central and region sales & marketing (daily reports) - Proactively reporting on sales KPIs include but not limited to sales pace, RT/WS TA achievement, showroom traffic, order performance and sales funnel on different data granularities - Month-end/year-end retail landing result delivery - Leading interpretation of business requirements to create dashboards, analysis, reports, and other data visualizations that provide business insight 3. Basic Market & Sales Analysis - Assist in analyzing market trends and sales performance based on extracted data - Support tactical teams with data for ad-hoc analysis - Help prepare presentation materials with reliable data inputs 4. Process & Data Governance - Document data extraction and reporting processes - Work with IT to improve data structures and reporting efficiency - Ensure compliance with data security and governance policies. - Bachelor degree or above, preferably in Data Science, Business, Information Systems, or related fields. - Practical experience in using data analysis tools or scripting for data extraction and processing (e.g., SQL, Python, R, Excel Power Query, Tableau Prep, Alteryx, or similar). - Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus. - English level-CET 6 and above. - 2 years’ experience in data extraction, reporting, or analysis; automotive or sales industry background preferred. - High attention to detail and a strong commitment to data accuracy. Beijing Mercedes-Benz Sales Service Co., Ltd.", "summaryDescription" : "Sales Data Analysis at Beijing Mercedes-Benz Sales Service Co.. Skills: Data analysis, Sales reporting, Data visualization. Extract, process, and validate sales data. Support sales reporting and performance", "createdAt" : "2026-06-14T06:42:27.615", "lastUpdated" : "2026-06-15T13:43:47.516", "ingestTimestamp" : "2026-06-14T06:42:27.615", "mongoId" : "69ce5e3b9bc74574cb677aa8", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ "Data extraction", "Data processing", "Data validation", "Sales reporting", "Dashboard creation", "Data analysis", "Data visualization", "Market trend analysis", "Sales performance analysis", "Automotive industry", "Sales industry", "SQL", "Python", "R", "Excel Power Query", "Tableau Prep", "Alteryx", "Tableau", "Power BI" ], "skillCount" : 19, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Junior", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Automotive", "llmIndustryConfidence" : 0.95 }, { "id" : "6a210e5774d8ee00a0af7083", "title" : "Senior Staff Research Data Scientist, AI Data", "industry" : "Technology", "salary" : { "min" : 220000.0, "max" : 350000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for Senior Staff Research Data Scientist in Mountain View, United States, adjusted for the technology industry and senior experience level." }, "location" : "[Mountain View, CA, USA, [100 Bay Vw Dr, Mountain View, CA 94043, USA], Mountain View, 94043, CA, US]", "locations" : [ "[Mountain View, CA, USA, [100 Bay Vw Dr, Mountain View, CA 94043, USA], Mountain View, 94043, CA, US]" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T12:32:43.967", "fingerprint" : "30e1fbb4056308c0617f88b118e8e1b9528bfc28c17b15ecabb540c5e69c2ecd", "source" : "google", "language" : "en", "externalId" : "127735879274767046", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Mountain View", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3893889,-122.0832101" } ], "locationText" : "Mountain View, California, United States", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, R, SQL, Spark, Scala, Snowflake, BigQuery, Redshift, Databricks, Dbt, Fivetran, Airflow, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure, SageMaker, Vertex AI, ML Studio", "professionalSkills" : [ "Quantitative analysis", "Data engineering", "Business intelligence", "Analytics engineering" ], "hardSkillsList" : [ "Statistical methods", "ML frameworks", "Modelling skills" ], "hardSkills" : [ { "name" : "Statistical methods", "level" : "intermediate" }, { "name" : "ML frameworks", "level" : "intermediate" }, { "name" : "Modelling skills", "level" : "intermediate" } ], "majorSkills" : "Machine Learning, AI, Data Science", "majorSkillsList" : [ "Machine Learning", "AI", "Data Science" ], "coreResponsibilities" : "Conduct research, Develop models, Design experiments, Analyze data, Build data pipelines, Deploy machine learning models, Collaborate with engineering teams, Communicate findings", "teamCollaboration" : "Cross-functional teams", "domainKnowledge" : "AI; Machine learning", "domainList" : [ "ai", "machine-learning" ], "domainSpecificKnowledge" : [ "AI", "Machine learning" ], "toolProficiency" : [ "Tableau", "Power BI", "Looker" ], "communicationSkills" : "Communicate findings", "problemSolvingSkills" : "Problem solving", "qualificationsBasic" : "5+ years of experience", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer, AWS Data Analytics, Databricks Certified, Dbt Certified", "summaryDescription" : "Senior Staff Research Data Scientist, AI Data. Skills: Machine Learning, AI, Data Science. Conduct research. Develop models", "postedDate" : "2026-06-16T01:50:26.425", "createdAt" : "2026-06-16T01:50:26.425", "lastUpdated" : "2026-06-16T12:32:43.967", "ingestTimestamp" : "2026-06-16T01:50:26.425", "mongoId" : "6a210e5774d8ee00a0af7083", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 220000, "salaryAnnualMax" : 350000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Statistical methods", "ML frameworks", "Modelling skills", "Machine Learning", "AI", "Data Science", "Quantitative analysis", "Data engineering", "Business intelligence", "Analytics engineering", "Machine learning", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Tableau", "Power BI", "Looker" ], "skillCount" : 18, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.6666667, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a3055e1f292fd229cf22967", "title" : "Product Manager (Dashboard)", "company" : "SpotOn", "industry" : "Product", "salary" : { "min" : 150000.0, "max" : 185000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "Chicago, IL", "locations" : [ "Chicago, IL", "New York, NY", "Austin, TX", "Royal Oak, MI" ], "timestamp" : "2026-06-16T14:10:35.817", "fingerprint" : "c136faf42de82c127b92035bf693b64381ec624013e37f566e50f04e0ec01b7d", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/spoton/e98aef00-2fad-40c1-b0f7-b09a2bc9f47d/application", "externalId" : "e98aef00-2fad-40c1-b0f7-b09a2bc9f47d", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Chicago", "state" : "Illinois", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "41.8755616,-87.6244212" } ], "locationText" : "Chicago, Illinois, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "coreResponsibilities" : "Define product strategy, Develop product roadmap, Write user stories, Collaborate with cross-functional teams", "teamCollaboration" : "Cross-functional teams", "projectManagementSkills" : [ "Roadmap planning" ], "rawDescription" : "About SpotOn We’re not just building restaurant tech, we’re giving independent restaurants the tools to compete and win. From our award-winning point-of-sale to AI-powered profit tools, everything we do helps operators boost profit, work smarter, and keep their best people. And every solution is backed by real humans who actually give a sh*t about helping restaurants succeed. - Named the #1 Restaurant POS by G2 (Fall 2025), based on ratings from real users - Rated the top-rated point-of-sale (POS) for restaurants, bars, retail, and small businesses by Capterra users - Awarded Great Places to Work and Built In’s Best Workplaces for multiple years running We move fast, care hard, and fight for independent restaurant operators to do what they love, and love doing it. If you’re looking to make an impact with heart and hustle, SpotOn is the place for you. Dashboard Product Manager We’re looking for an experienced Product Manager who’s passionate about the restaurant industry and motivated to build innovative, high-impact products for the 15 million people who live and work in it. This role owns the Merchant Dashboard—the central control center where restaurant operators manage their business within SpotOn. You will define how merchants navigate, configure, monitor, and grow their business across the software suite. The Dashboard is the primary entry point into the ecosystem, surfacing settings, reports, alerts, insights, and growth opportunities. This PM will shape the information architecture, interaction patterns, personalization, and monetization surfaces that power daily operator workflows. You’ll collaborate closely with Engineering, Design, Marketing, Data Science, and GTM teams to turn that vision into reality. You will: - Be an integral part of defining the product strategy for SpotOn restaurant software suite. - Own and manage the product roadmap—making thoughtful, data-informed trade-offs based on customer needs, market dynamics, and business priorities. - Bring an innovative mindset to product design and vision, challenging assumptions and looking for bold ways to solve customer problems. - Partner closely with cross-functional teams—including Engineering, Design, Marketing, Data Science, Ops and GTM—to gather input, align priorities, and deliver impactful solutions. - Analyze market trends, customer feedback, competitive offerings, and emerging technologies to identify opportunities that drive differentiation and sustained growth. - Lead a continuous cycle of experimentation, learning, and iteration, using insights and data to guide product decisions. - Cultivate strong relationships with internal stakeholders and external partners, acting as the product’s advocate and voice of the customer. - Collaborate with other stakeholders, such as product marketing, on the creation of positioning for your products. Qualifications: - 4+ years of relevant product management experience or equivalent, preferably with restaurant or hospitality software - Deep understanding of the product development lifecycle, with a proven ability to deliver intuitive, high-quality products that scale across multiple platforms - Technically fluent—you can engage effectively with engineers, understand APIs and systems architecture at a high level, and are comfortable discussing trade-offs in implementation. - A metrics-driven work style that leverages data to make informed decisions. - Exceptional communication skills, with the ability to clearly articulate product vision, rationale, and tradeoffs to cross-functional teams and stakeholders. - Ability to put yourself in the customer’s shoes to understand their needs and how they interact with our products. - Ability to make decisions with imperfect information, know how to lead without authority, and be comfortable managing chaos, ambiguity, and complexity. - Hands-on restaurant or hospitality experience (e.g., working in a restaurant, bar, or cafe) is a significant plus Hybrid-3 days a week in office Compensation: - Our base pay range starts at $150,000 -$185,000 for this role - Please note the salary range listed is just one component of a competitive compensation package which includes a company stock plan - Offers will be reflective of the candidate’s location and experience. Benefits: At SpotOn, we put people above everything else. We’re known for our innovative software and technology solutions, but we stand out because of the hard-working humans behind the tech. We can’t take care of our clients without taking care of our employees first, and that’s why we invest in you with a competitive benefits package which includes: - Medical, Dental and Vision Insurance - 401k with company match - RSUs - Paid vacation, 10 company holidays, sick time, and volunteer time off - Employee Resource Groups to build community and inclusion at work - Monthly cell phone and internet stipend - Tuition reimbursement for up to $2,000 per calendar year to assist with your professional development We will never ask candidates to pay fees, purchase equipment, or share sensitive personal or financial information during the hiring process. All legitimate communication from our recruiting team will come from an official company email address (@spoton.com http://spoton.com). If something seems suspicious, please contact us at careers@spoton.com. SpotOn is an equal employment opportunity employer. Qualified candidates are considered for employment without regard to race, religion, gender, gender identity, sexual orientation, national origin, age, military or veteran status, disability, or any other characteristic protected by applicable law. Work authorization in the U.S. is required. Visa sponsorship is not available for this role. SpotOn is an E-Verify company.", "summaryDescription" : "Product Manager (Dashboard) at SpotOn. Define product strategy. Develop product roadmap", "createdAt" : "2026-06-16T00:29:41.344", "lastUpdated" : "2026-06-16T14:10:35.817", "ingestTimestamp" : "2026-06-16T00:29:41.344", "mongoId" : "6a3055e1f292fd229cf22967", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 150000, "salaryAnnualMax" : 185000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Roadmap planning" ], "skillCount" : 1, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a16291b58b93c861e959da8", "title" : "Assistant Project Manager - Data Centers", "salary" : { "min" : 75000.0, "max" : 105000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Assistant Project Manager in the Construction industry in Pennington, United States, adjusted for mid-level experience and onsite work mode." }, "location" : "Multiple Locations", "locations" : [ "Multiple Locations" ], "timestamp" : "2026-06-16T05:10:30.209", "fingerprint" : "873c5757c2de9e019e74b188e3285403ca2810c201fb6ea6b96780c5ad8f1e4d", "source" : "taleo", "language" : "en", "applyUrl" : "https://hdr.taleo.net/careersection/ex/jobdetail.ftl?job=781784", "externalId" : "781784", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Pennington", "state" : "New Jersey", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.3281213,-74.7909992" } ], "locationText" : "Pennington, New Jersey, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "professionalSkills" : [ "Project management", "Organizational skills" ], "teamCollaboration" : "Interact with design teams", "projectManagementSkills" : [ "Project management" ], "communicationSkills" : "Written communication; Verbal communication", "qualificationsBasic" : "Bachelor's degree in related field, 5 years related experience, Ability to interact with various design teams, Excellent organizational skills, Excellent project management skills, Excellent communication skills (written and verbal), Attitude and commitment to being an active participant of our employee-owned culture", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Required Qualifications Bachelor's degree in related field 5 years related experience Must have the ability to interact with various design teams, have excellent organizational, project management and communication (both written and verbal) skills 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-New Jersey-Pennington", "summaryDescription" : "Assistant Project Manager - Data Centers", "createdAt" : "2026-06-14T18:48:47.534", "lastUpdated" : "2026-06-16T05:10:30.209", "ingestTimestamp" : "2026-06-14T18:48:47.534", "mongoId" : "6a16291b58b93c861e959da8", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 75000, "salaryAnnualMax" : 105000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Project management", "Organizational skills" ], "skillCount" : 2, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Junior", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Construction", "llmIndustryConfidence" : 0.85 }, { "id" : "6a306b15f292fd229cfcf410", "title" : "(Junior) Dashboard Developer", "company" : "Deloitte", "industry" : "Accounting", "salary" : { "min" : 38000.0, "max" : 52000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Dashboard Developer in Breda, Netherlands, adjusted for the consulting industry and Deloitte's company size." }, "location" : "Breda, NB, Netherlands", "locations" : [ "Breda", "NB", "Netherlands" ], "certifications" : [ "Tableau certifications", "SAS certifications", "Power BI certifications" ], "timestamp" : "2026-06-16T10:28:53.897", "fingerprint" : "21ad0153c19ab98ae9b3d87a9177ebb4e3ef23f7be2e97c1abfedbccf8178827", "source" : "smartrecruiters", "language" : "nl", "applyUrl" : "https://jobs.smartrecruiters.com/DeloitteNetherlands/744000132246110--junior-dashboard-developer", "externalId" : "744000132246110", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Breda", "state" : "North Brabant", "country" : "Netherlands", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.5887845,4.7760237" } ], "locationText" : "Breda, North Brabant, Netherlands", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "mid", "technicalSkills" : "SAS Visual Analytics, Power BI, Tableau, D3.js", "professionalSkills" : [ "Information design", "User experience" ], "hardSkillsList" : [ "Data visualization", "Dashboarding", "BI reporting" ], "hardSkills" : [ { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "Dashboarding", "level" : "intermediate" }, { "name" : "BI reporting", "level" : "intermediate" } ], "majorSkills" : "Dashboard development, Data visualization, BI reporting", "majorSkillsList" : [ "Dashboard development", "Data visualization", "BI reporting" ], "coreResponsibilities" : "Manage data solutions, Improve data solutions, Translate customer questions, Create clear insights, Improve dashboards, Improve reports, Enable data-driven decisions, Present insights, Ensure quality, Ensure consistency, Ensure usability, Ensure optimal user experience, Support process improvements, Support standard improvements, Collaborate with specialists, Stay updated on developments, Stay updated on technologies", "teamCollaboration" : "Multidisciplinary teams; Data engineers; Data analysts; BI consultants; Customers; IT specialists; Cyber specialists; Data specialists", "projectManagementSkills" : [ "Agile", "Scrum" ], "domainKnowledge" : "BI; Data visualization; Data-driven work", "domainList" : [ "bi", "data-visualization", "data-driven-work" ], "domainSpecificKnowledge" : [ "BI", "Data visualization", "Data-driven work" ], "toolProficiency" : [ "SAS Visual Analytics", "Power BI", "Tableau", "D3.js" ], "continuousLearning" : "Tailored training; Recognized certifications; Guidance", "innovationCreativity" : "Innovative data solutions", "problemSolvingSkills" : "Analytical insight; Translate complex information", "qualificationsBasic" : "2+ years work experience, Relevant technical environment experience, Min. HBO education, Analytical and critical thinking, Agile and Scrum experience, Hands-on mentality, Eye for detail and quality, Willingness to learn, Active contribution to knowledge sharing", "qualificationsPreferred" : "Tableau certifications, SAS certifications, Power BI certifications", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Werk aan het beheer en continue verbeteringen van inzichtelijke dashboards en innovatieve data-oplossingen voor onze klanten. Bij Deloitte. Als (Junior) Dasboard Developer ben jij de drijvende kracht achter het beheer en continue verbeteringen van geavanceerde dashboards en rapportages die onze klanten in staat stellen om datagedreven beslissingen te nemen. Je maakt onderdeel uit van het nieuwe Local Delivery Center van Deloitte binnen onze Operate practice waar je samen met je collega’s werkt aan het runnen en onderhouden van essentiële bedrijfsdiensten, processen en functies van onze klanten. Je vertaalt complexe klantvragen naar heldere inzichten en verbeteringen in data-oplossingen. Je werkt nauw samen met onder andere data engineers, data analisten, BI consultants en onze klanten om inzichten te creëren die de besluitvorming verbeteren. Met jouw expertise in data visualisatie, information design en user experience zorg je ervoor dat dashboards niet alleen functioneel, maar ook helder, visueel aantrekkelijk en gebruiksvriendelijk zijn. In deze rol: * Werk je aan het beheer en continue verbeteringen van innovatieve data-oplossingen voor onze klanten. * Vertaal je klantvragen naar heldere inzichten en verbeteringen in dashboards en rapportages, zodat onze klanten datagedreven beslissingen kunnen nemen. * Werk je met tools zoals SAS Visual Analytics en Power BI om waardevolle inzichten te presenteren. * Waarborg je de kwaliteit, consistentie en bruikbaarheid van dashboards en rapportages. * Zorg je voor een optimale gebruikerservaring in al je data-oplossingen. * Ondersteun je het team bij het verbeteren van processen en standaarden op het gebied van data en dashboarding binnen het Local Delivery Center. * Werk je nauw samen met andere specialisten in multidisciplinaire teams. * Blijf je op de hoogte van de nieuwste ontwikkelingen en technologieën op het gebied van BI, visualisatie en datagedreven werken. ## Qualifications Je bent een professional met 2+ jaar werkervaring. Je bent gedreven, leergierig en enthousiast om je expertise binnen het Local Delivery Center verder te ontwikkelen. Je hebt een passie voor dashboarding en data visualisaties. Je combineert analytisch inzicht met creativiteit en weet hoe je complexe informatie kunt vertalen naar heldere inzichten. Je bent flexibel, neemt initiatief om klantvragen te analyseren en verbeteringen in data-oplossingen door te voeren. Je werkt graag in multidisciplinaire teams. Je bent gemotiveerd om snel nieuwe kennis en vaardigheden op te doen en actief bij te dragen aan kennisdeling binnen de organisatie. Daarnaast sta je klaar om mee te bouwen aan ons nieuwe Local Delivery Center en op deze manier de impact van onze dienstverlening op klanten te vergroten. Verder beschik je over: * 2+ jaar werkervaring in een relevante technische omgeving bijvoorbeeld als Dasboard developer, BI-developer, Data analist, Data engineer of vergelijkbaar * Minimaal een afgeronde hbo opleiding, of autodidact met de juiste werkervaring * Certificeringen van Tableau, SAS, Power BI zijn een pré * Een goede beheersing van de Nederlandse taal * Het vermogen om analytisch en kritisch te denken * Bewezen ervaring met het werken volgens Agile en Scrum * Een hands-on mentaliteit met oog voor detail en kwaliteit * De bereidheid om te leren, je vaardigheden continu te ontwikkelen en actief bij te dragen aan kennisdeling in een dynamische en groeiende omgeving Je hebt ervaring met: * BI reporting en dashboarding (SAS Visual Analytics, Power BI) * Data visualisatie (Tableau, D3.js) * Information design en UX/UI ## Additional Information Als (Junior) Dasboard Developer bij Deloitte’s Local Delivery Center werk je aan inzichtelijke dashboards en innovatieve data-oplossingen voor onze klanten. Het Local Delivery Center is net gestart waardoor je de kans krijgt om samen met je collega’s iets vanaf de grond op te bouwen. In ons Local Delivery Center werken onder andere IT, Cyber en dataspecialisten die zich bezighouden met het runnen en onderhouden van essentiële bedrijfsdiensten, processen en functies van onze klanten. Wij bieden je een omgeving waarin persoonlijke groei, kennisdeling en experimenteren centraal staan. Je krijgt de beschikking over een ruim aanbod aan op maat gemaakte trainingen, erkende certificeringen en begeleiding binnen Deloitte.", "summaryDescription" : "(Junior) Dashboard Developer at Deloitte. Skills: Dashboard development, Data visualization, BI reporting. Manage data solutions. Improve data solutions", "postedDate" : "2026-06-15T16:45:43.000", "createdAt" : "2026-06-16T00:07:13.016", "lastUpdated" : "2026-06-16T10:28:53.897", "ingestTimestamp" : "2026-06-16T00:07:13.016", "mongoId" : "6a306b15f292fd229cfcf410", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Data visualization", "Dashboarding", "BI reporting", "Dashboard development", "Information design", "User experience", "Agile", "Scrum", "BI", "Data-driven work", "Tableau certifications", "SAS certifications", "Power BI certifications", "SAS Visual Analytics", "Power BI", "Tableau", "D3.js" ], "skillCount" : 17, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Junior", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Consulting", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305819f292fd229cf40436", "title" : "Contingent Research Data Analyst, HEOR", "company" : "Intuitive", "industry" : "Medical Device", "salary" : { "min" : 1000000.0, "max" : 1500000.0, "currency" : "TWD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a mid-seniority Contingent Research Data Analyst in Healthcare in Taipei, Taiwan, adjusted for company size and industry." }, "location" : "Taipei, TAIWAN, TW", "locations" : [ "Taipei", "TAIWAN", "TW" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T07:23:29.767", "fingerprint" : "a35e775eaa33eafe9549030a7abec1a38573d3894f3dc70a602e9b377099b2ec", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Intuitive/744000132196718-contingent-research-data-analyst-heor", "externalId" : "744000132196718", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Taipei", "country" : "Taiwan", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "25.0375198,121.5636796" } ], "locationText" : "Taipei, Taiwan", "employmentType" : "CONTRACT", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "mid", "technicalSkills" : "SQL, Python, R, Spark, 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", "professionalSkills" : [ "Data analysis", "Data engineering", "Machine learning", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Statistical methods", "Modelling skills" ], "hardSkillsList" : [ "Statistical analysis", "Data modelling", "Machine learning modelling", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Data modelling", "level" : "intermediate" }, { "name" : "Machine learning modelling", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Data analysis, Machine learning, Data engineering", "majorSkillsList" : [ "Data analysis", "Machine learning", "Data engineering" ], "coreResponsibilities" : "Perform data analysis, Develop data models, Build and maintain data pipelines, Implement machine learning models, Create business intelligence dashboards, Collaborate with cross-functional teams, Communicate findings to stakeholders", "teamCollaboration" : "Cross-functional teams; Stakeholders", "toolProficiency" : [ "Tableau", "Power BI", "Looker" ], "communicationSkills" : "Communicate findings", "problemSolvingSkills" : "Problem solving", "qualificationsBasic" : "5+ years of experience in data analysis, Proficiency in SQL, Bachelor's degree in Statistics, Mathematics, Computer Science, or related field", "qualificationsPreferred" : "PhD preferred, Experience with Python or R, Experience with cloud platforms (AWS, GCP, Azure), Experience with ML frameworks (scikit-learn, TensorFlow, PyTorch), GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification", "remoteFriendly" : false, "rawDescription" : "At Intuitive, we are united behind our mission: we believe that minimally invasive care is life-enhancing care. Through ingenuity and intelligent technology, we expand the potential of physicians to heal without constraints. As a pioneer and market leader in robotic-assisted surgery, we strive to foster an inclusive and diverse team, committed to making a difference. For more than 25 years, we have worked with hospitals and care teams around the world to help solve some of healthcare's hardest challenges and advance what is possible. Intuitive has been built by the efforts of great people from diverse backgrounds. We believe great ideas can come from anywhere. We strive to foster an inclusive culture built around diversity of thought and mutual respect. We lead with inclusion and empower our team members to do their best work as their most authentic selves. Passionate people who want to make a difference drive our culture. Our team members are grounded in integrity, have a strong capacity to learn, the energy to get things done, and bring diverse, real world experiences to help us think in new ways. We actively invest in our team members to support their long-term growth so they can continue to advance our mission and achieve their highest potential. Join a team committed to taking big leaps forward for a global community of healthcare professionals and their patients. Together, let's advance the world of minimally invasive care. Primary Function of Position: The Contingent Research Data Analyst, based out of Taiwan, will provide research, analytic, and data management support to the Ion Custom Hospital Analytics (Ion CHA) team. Ion CHA uses hospital-provided patient care data to assess the impact of the Ion lung biopsy platform on their lung cancer treatment programs. The research analyst, based out of Taiwan, will work remotely with health services researchers and market access specialists to generate research questions, and will then be expected to answer those questions by independently analyzing healthcare data. The research analyst will also support data cleaning and visualization activities for Ion CHA. Roles & Responsibilities:  Hypothesis Generation o Generate research questions related to lung cancer biopsy and treatment outcomes, costs, and other healthcare metrics. o Create statistical analysis plans to derive insights from electronic health record and other large health care databases to answer research questions. o Support evidence generation by conducting statistical analyses and writing research abstracts and publications.  Data Management, Analysis, and Visualization o Using a scripting language such as R, write code to clean data, create derived variables, merge/join/concatenate tables, identify missing values and outliers, and identify data inconsistencies. o Create data dashboards highlighting key healthcare outcome metrics by leveraging tools such as Tableau, R-Shiny, Quarto, ggplot2, and plotly. o Develop automated reports to share with internal and external stakeholders, including market access specialists and hospital executives.  Additional Project Support o As needed support GAVE team with additional data analytic and visualization projects based on analyst interests and team needs. ## Qualifications Skills, Experience, Education, & Training:  Master’s degree in biostatistics/statistics, epidemiology, or health services research.  Strong understanding of real-world data sources (i.e. medical claims data, EHR data) and observational research design.  Experience conducting analyses for healthcare research and writing abstracts/publications.  Ability to program with a scripting language such as R and Python and to query large databases using SQL.  Must reside in Taiwan. ## Additional Information Intuitive is an Equal Employment Opportunity Employer. We provide equal employment opportunities to all qualified applicants and employees, and prohibit discrimination and harassment of any type, without regard to race, sex, pregnancy, sexual orientation, gender identity, national origin, color, age, religion, protected veteran or disability status, genetic information or any other status protected under federal, state, or local applicable laws. We will consider for employment qualified applicants with arrest and conviction records in accordance with fair chance laws. U.S. Export Controls Disclaimer: In accordance with the U.S. Export Administration Regulations (15 CFR §743.13(b)), some roles at Intuitive Surgical may be subject to U.S. export controls for prospective employees who are nationals from countries currently on embargo or sanctions status. Certain information you provide as part of the application will be used for purposes of determining whether Intuitive Surgical will need to (i) obtain an export license from the U.S. Government on your behalf (note: the government’s licensing process can take 3 to 6+ months) or (ii) implement a Technology Control Plan (“TCP”) (note: typically adds 2 weeks to the hiring process). For any Intuitive role subject to export controls, final offers are contingent upon obtaining an approved export license and/or an executed TCP prior to the prospective employee’s start date, which may or may not be flexible, and within a timeframe that does not unreasonably impede the hiring need. If applicable, candidates will be notified and instructed on any requirements for these purposes. This position may be filled at a different job level than listed here depending on business need and/or on the selected candidate’s experience, knowledge and skills. Compensation will be based primarily on the job level at which the role is filled and the candidate’s qualifications, consistent with applicable law.", "summaryDescription" : "Contingent Research Data Analyst, HEOR at Intuitive. Skills: Data analysis, Machine learning, Data engineering. Perform data analysis. Develop data models", "postedDate" : "2026-06-15T12:57:57.000", "createdAt" : "2026-06-15T23:41:18.554", "lastUpdated" : "2026-06-16T07:23:29.767", "ingestTimestamp" : "2026-06-15T23:41:18.554", "mongoId" : "6a305819f292fd229cf40436", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Statistical analysis", "Data modelling", "Machine learning modelling", "A/B testing", "Causal inference", "Data analysis", "Machine learning", "Data engineering", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Statistical methods", "Modelling skills", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Tableau", "Power BI", "Looker" ], "skillCount" : 20, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305003f292fd229ceebc59", "title" : "Contingent Research Data Analyst, HEOR", "company" : "Intuitive", "industry" : "Medical Device", "salary" : { "min" : 1050000.0, "max" : 1550000.0, "currency" : "TWD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Contingent Research Data Analyst in Healthcare in Taipei, Taiwan, adjusted for company size and industry." }, "location" : "Taipei, TAIWAN, TW", "locations" : [ "Taipei", "TAIWAN", "TW" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T08:47:08.504", "fingerprint" : "f93a8c378c70045e2fcbe5c4a664470518399553da229bf3c789923abd7c40ce", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Intuitive/744000132196718-contingent-research-data-analyst-heor", "externalId" : "744000132196718", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Taipei", "country" : "Taiwan", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "25.0375198,121.5636796" } ], "locationText" : "Taipei, Taiwan", "employmentType" : "CONTRACT", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "mid", "technicalSkills" : "SQL, Python, R, Spark, Snowflake, BigQuery, Redshift, Databricks, Tableau, Power BI, Looker, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure", "professionalSkills" : [ "Data analysis", "Data modeling", "Statistical analysis", "Machine learning", "Business intelligence", "Data engineering", "Quantitative analysis" ], "hardSkillsList" : [ "Statistical modeling", "Machine learning algorithms", "Data wrangling", "Data visualization", "Database management", "Cloud computing", "ETL processes", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "Machine learning algorithms", "level" : "intermediate" }, { "name" : "Data wrangling", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "Database management", "level" : "intermediate" }, { "name" : "Cloud computing", "level" : "intermediate" }, { "name" : "ETL processes", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Data Science, Data Engineering, Machine Learning, Business Intelligence", "majorSkillsList" : [ "Data Science", "Data Engineering", "Machine Learning", "Business Intelligence" ], "coreResponsibilities" : "Develop and implement data models, Build and maintain data pipelines, Perform data analysis and interpretation, Develop machine learning models, Create business intelligence dashboards, Collaborate with stakeholders, Present findings and recommendations, Ensure data quality and integrity, Stay updated on industry trends", "teamCollaboration" : "Cross-functional teams; Stakeholders; Product managers; Engineering teams", "domainKnowledge" : "Health Economics; Real-World Evidence; HEOR data", "domainList" : [ "health-economics", "real-world-evidence", "heor-data" ], "domainSpecificKnowledge" : [ "Health Economics", "Real-World Evidence", "HEOR data" ], "toolProficiency" : [ "SQL", "Python", "R", "Spark", "Snowflake", "BigQuery", "Redshift", "Databricks", "Tableau", "Power BI", "Looker", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow", "AWS", "GCP", "Azure" ], "communicationSkills" : "Present findings; Communicate insights", "continuousLearning" : "Stay updated on industry trends", "problemSolvingSkills" : "Data analysis; Statistical modeling; Machine learning", "qualificationsBasic" : "Bachelor's degree, 3+ years of experience, Experience with SQL, Experience with Python", "qualificationsPreferred" : "Master's degree preferred, PhD preferred, Experience with R, Experience with statistical modeling, Experience with machine learning, Experience with data visualization tools, Experience with cloud platforms, Experience with HEOR data", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "At Intuitive, we are united behind our mission: we believe that minimally invasive care is life-enhancing care. Through ingenuity and intelligent technology, we expand the potential of physicians to heal without constraints. As a pioneer and market leader in robotic-assisted surgery, we strive to foster an inclusive and diverse team, committed to making a difference. For more than 25 years, we have worked with hospitals and care teams around the world to help solve some of healthcare's hardest challenges and advance what is possible. Intuitive has been built by the efforts of great people from diverse backgrounds. We believe great ideas can come from anywhere. We strive to foster an inclusive culture built around diversity of thought and mutual respect. We lead with inclusion and empower our team members to do their best work as their most authentic selves. Passionate people who want to make a difference drive our culture. Our team members are grounded in integrity, have a strong capacity to learn, the energy to get things done, and bring diverse, real world experiences to help us think in new ways. We actively invest in our team members to support their long-term growth so they can continue to advance our mission and achieve their highest potential. Join a team committed to taking big leaps forward for a global community of healthcare professionals and their patients. Together, let's advance the world of minimally invasive care. Primary Function of Position: The Contingent Research Data Analyst, based out of Taiwan, will provide research, analytic, and data management support to the Ion Custom Hospital Analytics (Ion CHA) team. Ion CHA uses hospital-provided patient care data to assess the impact of the Ion lung biopsy platform on their lung cancer treatment programs. The research analyst, based out of Taiwan, will work remotely with health services researchers and market access specialists to generate research questions, and will then be expected to answer those questions by independently analyzing healthcare data. The research analyst will also support data cleaning and visualization activities for Ion CHA. Roles & Responsibilities:  Hypothesis Generation o Generate research questions related to lung cancer biopsy and treatment outcomes, costs, and other healthcare metrics. o Create statistical analysis plans to derive insights from electronic health record and other large health care databases to answer research questions. o Support evidence generation by conducting statistical analyses and writing research abstracts and publications.  Data Management, Analysis, and Visualization o Using a scripting language such as R, write code to clean data, create derived variables, merge/join/concatenate tables, identify missing values and outliers, and identify data inconsistencies. o Create data dashboards highlighting key healthcare outcome metrics by leveraging tools such as Tableau, R-Shiny, Quarto, ggplot2, and plotly. o Develop automated reports to share with internal and external stakeholders, including market access specialists and hospital executives.  Additional Project Support o As needed support GAVE team with additional data analytic and visualization projects based on analyst interests and team needs. ## Qualifications Skills, Experience, Education, & Training:  Master’s degree in biostatistics/statistics, epidemiology, or health services research.  Strong understanding of real-world data sources (i.e. medical claims data, EHR data) and observational research design.  Experience conducting analyses for healthcare research and writing abstracts/publications.  Ability to program with a scripting language such as R and Python and to query large databases using SQL.  Must reside in Taiwan. ## Additional Information Intuitive is an Equal Employment Opportunity Employer. We provide equal employment opportunities to all qualified applicants and employees, and prohibit discrimination and harassment of any type, without regard to race, sex, pregnancy, sexual orientation, gender identity, national origin, color, age, religion, protected veteran or disability status, genetic information or any other status protected under federal, state, or local applicable laws. We will consider for employment qualified applicants with arrest and conviction records in accordance with fair chance laws. U.S. Export Controls Disclaimer: In accordance with the U.S. Export Administration Regulations (15 CFR §743.13(b)), some roles at Intuitive Surgical may be subject to U.S. export controls for prospective employees who are nationals from countries currently on embargo or sanctions status. Certain information you provide as part of the application will be used for purposes of determining whether Intuitive Surgical will need to (i) obtain an export license from the U.S. Government on your behalf (note: the government’s licensing process can take 3 to 6+ months) or (ii) implement a Technology Control Plan (“TCP”) (note: typically adds 2 weeks to the hiring process). For any Intuitive role subject to export controls, final offers are contingent upon obtaining an approved export license and/or an executed TCP prior to the prospective employee’s start date, which may or may not be flexible, and within a timeframe that does not unreasonably impede the hiring need. If applicable, candidates will be notified and instructed on any requirements for these purposes. This position may be filled at a different job level than listed here depending on business need and/or on the selected candidate’s experience, knowledge and skills. Compensation will be based primarily on the job level at which the role is filled and the candidate’s qualifications, consistent with applicable law.", "summaryDescription" : "Contingent Research Data Analyst, HEOR at Intuitive. Skills: Data Science, Data Engineering, Machine Learning, Business Intelligence. Develop and implement data models. Build and maintain data pipelines", "postedDate" : "2026-06-15T12:57:57.000", "createdAt" : "2026-06-15T21:38:55.159", "lastUpdated" : "2026-06-16T08:47:08.504", "ingestTimestamp" : "2026-06-15T21:38:55.159", "mongoId" : "6a305003f292fd229ceebc59", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Statistical modeling", "Machine learning algorithms", "Data wrangling", "Data visualization", "Database management", "Cloud computing", "ETL processes", "A/B testing", "Causal inference", "Data Science", "Data Engineering", "Machine Learning", "Business Intelligence", "Data analysis", "Data modeling", "Statistical analysis", "Machine learning", "Business intelligence", "Data engineering", "Quantitative analysis", "Health Economics", "Real-World Evidence", "HEOR data", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "SQL", "Python", "R", "Spark", "Snowflake", "BigQuery", "Redshift", "Databricks", "Tableau", "Power BI", "Looker", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow", "AWS", "GCP", "Azure" ], "skillCount" : 48, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ca17574d8ee00a09a5954", "title" : "Research Engineer - Data Infrastructure", "company" : "Rhoda AI", "industry" : "Research", "salary" : { "min" : 185000.0, "max" : 265000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Research Engineer in the Technology industry in Palo Alto, USA, adjusted for company size and specific role responsibilities." }, "location" : "Palo Alto", "locations" : [ "Palo Alto" ], "timestamp" : "2026-06-16T06:05:20.878", "fingerprint" : "a7d2ce63b5b0739ffe98855ef0345f3066560a6653365cf95983eefecd99bb51", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/rhoda-ai/c90321f2-5085-4f99-ac13-0de996ba1dd1/application", "externalId" : "c90321f2-5085-4f99-ac13-0de996ba1dd1", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Palo Alto", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.4443293,-122.1598465" } ], "locationText" : "Palo Alto, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, Cloud object storage, Databases, Metadata stores, Ray, Spark, Vision-language models, Snowflake, BigQuery, Redshift, DVC, Delta Lake", "professionalSkills" : [ "System design", "ML infrastructure", "Data infrastructure", "Distributed systems", "Production reliability", "Performance optimization", "Cost efficiency" ], "hardSkillsList" : [ "Data pipeline optimization", "Storage system optimization", "Indexing systems", "Retrieval systems", "Dataset querying", "Dataset filtering", "Dataset iteration", "Observability frameworks", "Monitoring", "Alerting", "Failure recovery", "Workload balancing", "Data artifact management", "Data versioning", "Data lineage", "Reproducibility", "Traceability", "Data exploration", "Data analysis", "ML inference" ], "hardSkills" : [ { "name" : "Data pipeline optimization", "level" : "intermediate" }, { "name" : "Storage system optimization", "level" : "intermediate" }, { "name" : "Indexing systems", "level" : "intermediate" }, { "name" : "Retrieval systems", "level" : "intermediate" }, { "name" : "Dataset querying", "level" : "intermediate" }, { "name" : "Dataset filtering", "level" : "intermediate" }, { "name" : "Dataset iteration", "level" : "intermediate" }, { "name" : "Observability frameworks", "level" : "intermediate" }, { "name" : "Monitoring", "level" : "intermediate" }, { "name" : "Alerting", "level" : "intermediate" }, { "name" : "Failure recovery", "level" : "intermediate" }, { "name" : "Workload balancing", "level" : "intermediate" }, { "name" : "Data artifact management", "level" : "intermediate" }, { "name" : "Data versioning", "level" : "intermediate" }, { "name" : "Data lineage", "level" : "intermediate" }, { "name" : "Reproducibility", "level" : "intermediate" }, { "name" : "Traceability", "level" : "intermediate" }, { "name" : "Data exploration", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "ML inference", "level" : "intermediate" } ], "majorSkills" : "Data Infrastructure, Distributed Systems, ML Infrastructure, Data Pipelines", "majorSkillsList" : [ "Data Infrastructure", "Distributed Systems", "ML Infrastructure", "Data Pipelines" ], "coreResponsibilities" : "Architect data infrastructure, Build data infrastructure, Scale data infrastructure, Process video clips, Manage video clips, Design storage systems, Optimize storage systems, Build indexing systems, Build retrieval systems, Support dataset querying, Support dataset filtering, Support dataset iteration, Develop observability frameworks, Implement workload balancing, Implement throughput optimization, Manage data artifacts, Manage data versioning, Manage data lineage, Build internal interfaces, Build lightweight tools, Enable data exploration, Enable data querying, Enable data analysis, Support integration of VLMs, Support scalable deployment of VLMs, Generate metadata", "teamCollaboration" : "Collaboration with researchers; Collaboration with engineers", "domainKnowledge" : "Generalist robotics; Foundation world models; Multimodal datasets; Robotics data formats; Real-world sensor data; Vision-language models", "domainList" : [ "generalist-robotics", "foundation-world-models", "multimodal-datasets", "robotics-data-formats", "real-world-sensor-data", "vision-language-models" ], "domainSpecificKnowledge" : [ "Generalist robotics", "Foundation world models", "Multimodal datasets", "Robotics data formats", "Real-world sensor data", "Vision-language models" ], "toolProficiency" : [ "Ray", "Spark", "DVC", "Delta Lake" ], "problemSolvingSkills" : "Performance optimization; Cost-performance tradeoffs", "qualificationsBasic" : "5+ years of experience in data infrastructure, 5+ years of experience in distributed systems, 5+ years of experience in ML infrastructure, Experience building large-scale data pipelines, Experience operating large-scale data pipelines, Deep understanding of distributed systems, Deep understanding of databases, Deep understanding of indexing strategies, Deep understanding of cloud storage architectures, Experience optimizing data throughput, Experience with workload balancing, Experience with cost-performance tradeoffs, Experience with distributed compute frameworks, Skills in observability, Skills in monitoring, Skills in production reliability, Software engineering fundamentals, Ability to own systems end-to-end", "qualificationsPreferred" : "1B+ samples data pipelines experience, Petabyte-scale systems experience, Experience managing large multimodal datasets, Familiarity with ML training workflows, Familiarity with data lifecycle management, Familiarity with vision-language models, Experience running ML inference workloads, Experience with robotics data formats, Experience with real-world sensor data, Experience with data warehouse technologies, Familiarity with data versioning tooling, Familiarity with data lineage tooling", "remoteFriendly" : false, "rawDescription" : "At Rhoda AI, we’re building the next generation of generalist intelligent robots. We own the full robotics stack from high-performance hardware and robot systems to the infrastructure and state-of-the-art foundation world models that control our robots. Our robots are designed to be generalists capable of operating in complex, real-world environments and handling long-tail edge cases, made possible by our cutting edge research and end-to-end system design. We've raised over $400M and are investing aggressively in model research, infrastructure, hardware development, and manufacturing scale-up to make generalist robotics a reality. We're looking for Data Infrastructure MLEs to scale the systems that power our model training data pipeline, from raw ingestion and storage to indexing, retrieval, and throughput optimization at massive scale. We hire across levels — from senior to staff. What You'll Do - Architect, build, and scale a high-throughput data infrastructure that processes and manages billions of video clips with strong guarantees around reliability, latency, and cost efficiency - Design and optimize large-scale storage systems (cloud object storage, databases, metadata stores) for multimodal datasets - Build efficient indexing and retrieval systems to support fast dataset querying, filtering, and iteration for research and production use cases - Develop observability frameworks for data pipelines including monitoring, alerting, failure recovery, and performance optimization - Implement intelligent workload balancing and throughput optimization across distributed compute and storage systems - Manage data artifacts, versioning, and lineage to ensure reproducibility and traceability across training runs - Build internal interfaces and lightweight tools that enable researchers and engineers to explore, query, and analyze large datasets at scale - Support integration and scalable deployment of vision-language models (VLMs) within data pipelines for screening, enrichment, or metadata generation What We're Looking For - 5+ years of experience in data infrastructure, distributed systems, ML infrastructure, or a closely related field - Strong experience building and operating large-scale data pipelines (1B+ samples or petabyte-scale systems preferred) - Deep understanding of distributed systems, databases, indexing strategies, and cloud storage architectures - Experience optimizing data throughput, workload balancing, and cost-performance tradeoffs in cloud environments - Experience with distributed compute frameworks such as Ray or Spark for large-scale data processing and transformation - Strong skills in observability, monitoring, and production reliability for high-scale systems - Strong software engineering fundamentals with the ability to own systems end-to-end, from design to production - Staff-level candidates are expected to define technical direction and own architectural decisions independently; senior candidates execute complex systems work with strong fundamentals and growing scope Nice to Have (But Not Required) - Experience managing large multimodal datasets - Familiarity with ML training workflows and data lifecycle management - Familiarity with vision-language models (VLMs) and experience running ML inference workloads at scale in distributed or cloud environments - Experience with robotics data formats or real-world sensor data (video, proprioception, teleoperation logs) - Experience with data warehouse technologies (e.g., Snowflake, BigQuery, or Redshift) for large-scale data storage, querying, and analytics - Familiarity with data versioning and lineage tooling (e.g., DVC, Delta Lake, or similar) Why This Role - Own the data foundation that everything else runs on — model quality is only as good as the data infrastructure beneath it - Direct collaboration with research and ML systems teams; your work has immediate, measurable impact on training velocity - High ownership in a small team — you'll make real architectural decisions, not execute tickets - Help build the infrastructure that powers robots operating in the real world, at scale", "summaryDescription" : "Research Engineer - Data Infrastructure at Rhoda AI. Skills: Data Infrastructure, Distributed Systems, ML Infrastructure, Data Pipelines. Architect data infrastructure. Build data infrastructure", "createdAt" : "2026-06-14T18:49:57.612", "lastUpdated" : "2026-06-16T06:05:20.878", "ingestTimestamp" : "2026-06-14T18:49:57.612", "mongoId" : "6a2ca17574d8ee00a09a5954", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 185000, "salaryAnnualMax" : 265000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Data pipeline optimization", "Storage system optimization", "Indexing systems", "Retrieval systems", "Dataset querying", "Dataset filtering", "Dataset iteration", "Observability frameworks", "Monitoring", "Alerting", "Failure recovery", "Workload balancing", "Data artifact management", "Data versioning", "Data lineage", "Reproducibility", "Traceability", "Data exploration", "Data analysis", "ML inference", "Data Infrastructure", "Distributed Systems", "ML Infrastructure", "Data Pipelines", "System design", "ML infrastructure", "Data infrastructure", "Distributed systems", "Production reliability", "Performance optimization", "Cost efficiency", "Generalist robotics", "Foundation world models", "Multimodal datasets", "Robotics data formats", "Real-world sensor data", "Vision-language models", "Ray", "Spark", "DVC", "Delta Lake" ], "skillCount" : 41, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305aaef292fd229cf54584", "title" : "Data Scientist [Integrated Risk Management]", "company" : "Plata Card", "industry" : "FinTech", "salary" : { "min" : 2200000.0, "max" : 3500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Data Scientist in Bangalore, India, adjusted for mid-seniority, FinTech industry, and company size." }, "location" : "Worldwide", "locations" : [ "Worldwide" ], "timestamp" : "2026-06-16T08:15:54.579", "fingerprint" : "feb53cc839e5559a569b262988586adb0d0203f87e997399150007acf746ee63", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://careers.bancoplata.mx/vacancy/details?id=5261900008&gh_jid=5261900008", "externalId" : "5261900008", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bangalore", "state" : "Karnātaka", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" }, { "workMode" : "remote" } ], "locationText" : "Bangalore, Karnātaka, India", "employmentType" : "FULL_TIME", "minimumEducation" : "Master's", "experienceMinYears" : 4, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, R, Pandas, NumPy, SciPy, Statsmodels, Scikit-learn", "professionalSkills" : [ "Risk modeling", "Quantitative analysis", "Financial management" ], "hardSkillsList" : [ "Statistical modeling", "Predictive modeling", "Probability theory", "Uncertainty quantification", "Forecasting techniques", "Machine learning approaches", "Modeling distributions", "Confidence intervals", "Risk metrics" ], "softSkillsList" : [ "Excellent communication skills" ], "hardSkills" : [ { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "Predictive modeling", "level" : "intermediate" }, { "name" : "Probability theory", "level" : "intermediate" }, { "name" : "Uncertainty quantification", "level" : "intermediate" }, { "name" : "Forecasting techniques", "level" : "intermediate" }, { "name" : "Machine learning approaches", "level" : "intermediate" }, { "name" : "Modeling distributions", "level" : "intermediate" }, { "name" : "Confidence intervals", "level" : "intermediate" }, { "name" : "Risk metrics", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Excellent communication skills" } ], "majorSkills" : "Risk modeling, Statistical modeling, Predictive modeling", "majorSkillsList" : [ "Risk modeling", "Statistical modeling", "Predictive modeling" ], "coreResponsibilities" : "Develop risk models, Develop analytical frameworks, Build predictive models, Build diagnostic models, Improve risk visibility, Improve portfolio performance, Improve decision-making, Develop statistical models for credit portfolio, Create Net Present Value (NPV) models, Model financial metrics, Analyze deviations, Analyze distributions, Analyze uncertainty, Design diagnostic models, Design forecasting models, Identify risks, Monitor risks, Mitigate risks, Investigate model performance, Understand deviations from expectations, Improve decision-making processes, Contribute to quantitative methodologies, Contribute to risk frameworks", "teamCollaboration" : "Partner with stakeholders; Partner with cross-functional stakeholders", "domainKnowledge" : "Credit risk; Financial risk; Operational risk; Stochastic datasets", "domainList" : [ "credit-risk", "financial-risk", "operational-risk", "stochastic-datasets" ], "domainSpecificKnowledge" : [ "Credit risk", "Financial risk", "Operational risk", "Stochastic datasets" ], "communicationSkills" : "Explain complex concepts", "continuousLearning" : "Professional training; Certifications", "innovationCreativity" : "Creativity", "problemSolvingSkills" : "Analytical initiatives", "qualificationsBasic" : "4+ years of hands-on experience in Data Science, Understanding of statistical modeling, Proficiency in Python or R, Experience with statistical and analytical libraries, Experience modeling distributions, Problem-solving skills", "qualificationsPreferred" : "Ph. D. in a quantitative field, Experience with financial datasets, Experience with risk datasets, Experience with stochastic datasets, Experience with forecasting techniques, Experience with modern machine learning approaches", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "We are looking for a Data Scientist for our Integrated Risk Management team to help develop risk models and analytical frameworks that support key business decisions across credit, financial, and operational risk domains. In this role, you will work on complex quantitative challenges, build predictive and diagnostic models, and partner with stakeholders across the organization to improve risk visibility, portfolio performance, and decision-making. Challenges that await you: Develop and implement advanced statistical models for our credit portfolio at both per-account and aggregate levels to predict behavior and optimize performance Create sophisticated Net Present Value (NPV) models and their core components on a per-account basis for our various credit products Model critical financial metrics, including FX position, liquidity, reserves, and other balance sheet items to support robust financial management Analyze and model not only expected outcomes but also their deviations, distributions, and uncertainty, recognizing the inherently probabilistic nature of financial and risk data Design diagnostic and forecasting models that help identify, monitor, and mitigate risks across the organization Partner with cross-functional stakeholders to investigate model performance, understand deviations from expectations, and improve decision-making processes Contribute to the development of quantitative methodologies and risk frameworks across credit, financial, and operational risk domains What makes you a great fit: M. S. or Ph. D. in a quantitative field such as Statistics, Computer Science, Mathematics, Physics, Economics, or a related discipline 4+ years of hands-on experience in Data Science, Quantitative Analytics, Risk Modeling, or a similar role Strong understanding of statistical modeling, probability theory, and uncertainty quantification Experience developing predictive models and working with financial, risk, or other highly stochastic datasets Strong proficiency in Python or R and experience with statistical and analytical libraries (e.g., Pandas, NumPy, SciPy, Statsmodels, Scikit-learn) Experience with classical statistical methods, forecasting techniques, and modern machine learning approaches when appropriate Experience modeling distributions, confidence intervals, and risk metrics rather than focusing solely on point estimates Strong problem-solving skills and ability to independently drive analytical initiatives from problem definition to implementation Excellent communication skills with the ability to explain complex concepts to both technical and non-technical stakeholders Our ways of working: Innovative Spirit: a commitment to creativity and groundbreaking solutions Honest Feedback: valuing open, transparent communication Supportive Team: a strong, collaborative community Celebrating Achievements: recognizing our wins together High-Tech Environment: a team of smart and ambitious people who challenge the status quo of traditional finance Our benefits: Relocation support to one of our hubs — Mexico, Cyprus, Spain, Serbia, or Georgia — with assistance for the employee and their family Work remotely from anywhere, provided you can maintain overlap with the first half of the business day in Mexico Healthcare Coverage Education Budget: language lessons, professional training, and certifications Wellness Budget: mental health and fitness activity reimbursements Vacation policy: 20 days of annual leave and paid sick leave", "summaryDescription" : "Data Scientist [Integrated Risk Management] at Plata Card. Skills: Risk modeling, Statistical modeling, Predictive modeling. Develop risk models. Develop analytical frameworks", "postedDate" : "2026-06-15T23:23:48.517", "createdAt" : "2026-06-15T23:23:48.517", "lastUpdated" : "2026-06-16T08:15:54.579", "ingestTimestamp" : "2026-06-15T23:23:48.517", "mongoId" : "6a305aaef292fd229cf54584", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Statistical modeling", "Predictive modeling", "Probability theory", "Uncertainty quantification", "Forecasting techniques", "Machine learning approaches", "Modeling distributions", "Confidence intervals", "Risk metrics", "Excellent communication skills", "Risk modeling", "Quantitative analysis", "Financial management", "Credit risk", "Financial risk", "Operational risk", "Stochastic datasets" ], "skillCount" : 17, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a16291d58b93c861e95a4be", "title" : "Assistant Data Center Project Manager", "salary" : { "min" : 75000.0, "max" : 105000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior, Mid-level Assistant Data Center Project Manager in Omaha, United States, adjusted for industry and full-time employment." }, "location" : "United States-Nebraska-Omaha", "locations" : [ "United States-Nebraska-Omaha" ], "timestamp" : "2026-06-15T11:44:32.538", "fingerprint" : "2ff4028084720d87a3a4a25ee3987ef285ef280d586b4cb1b9f3a351eef7e1ac", "source" : "taleo", "language" : "en", "applyUrl" : "https://hdr.taleo.net/careersection/ex/jobdetail.ftl?job=691789", "externalId" : "691789", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Omaha", "state" : "Nebraska", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "41.2587459,-95.9383758" } ], "locationText" : "Omaha, Nebraska, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "professionalSkills" : [ "Project management", "Organizational skills", "Communication skills" ], "teamCollaboration" : "Interact with design teams", "projectManagementSkills" : [ "Project management" ], "communicationSkills" : "Written communication; Verbal communication", "qualificationsBasic" : "Bachelor's degree in related field, 5 years related experience, Ability to interact with design teams, Excellent organizational skills, Excellent project management skills, Excellent communication skills, Commitment to employee-owned culture", "qualificationsPreferred" : "Active participant in employee-owned culture", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Required Qualifications Bachelor's degree in related field 5 years related experience Must have the ability to interact with various design teams, have excellent organizational, project management and communication (both written and verbal) skills 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-Nebraska-Omaha", "summaryDescription" : "Assistant Data Center Project Manager", "createdAt" : "2026-06-14T05:04:49.592", "lastUpdated" : "2026-06-15T11:44:32.538", "ingestTimestamp" : "2026-06-14T05:04:49.592", "mongoId" : "6a16291d58b93c861e95a4be", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 75000, "salaryAnnualMax" : 105000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Project management", "Organizational skills", "Communication skills" ], "skillCount" : 3, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Junior", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Engineering", "llmIndustryConfidence" : 0.85 }, { "id" : "6a304fc6f292fd229cee9d4f", "title" : "Software Engineer in Data Management", "company" : "CERN", "industry" : "Research", "salary" : { "min" : 115000.0, "max" : 155000.0, "currency" : "CHF", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Mid-level Software Engineer in Data Management in Geneva, Switzerland, adjusted for the technology industry and CERN's size and prestige." }, "location" : "Geneva, GENEVA, CH", "locations" : [ "Geneva", "GENEVA", "CH" ], "timestamp" : "2026-06-16T07:31:43.693", "fingerprint" : "5f19fc4ef8ed656855792cd4f97a5c21f076b5ae4a813d7339536eb267cd1165", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/CERN/744000132199460-software-engineer-in-data-management-ep-atl-co-2026-111-grap-", "externalId" : "744000132199460", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Geneva", "state" : "Geneva", "country" : "Switzerland", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "46.2017559,6.1466014" } ], "locationText" : "Geneva, Geneva, Switzerland", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "entry", "technicalSkills" : "Python, Distributed systems, Data-intensive applications, Computer networks, Database technologies, Software design, System architecture, CI/CD, Linux, Kubernetes", "professionalSkills" : [ "Software engineering", "Data management", "DevOps", "System operations" ], "hardSkillsList" : [ "Automated testing", "CI/CD pipelines" ], "hardSkills" : [ { "name" : "Automated testing", "level" : "intermediate" }, { "name" : "CI/CD pipelines", "level" : "intermediate" } ], "majorSkills" : "Data management, Distributed systems, Python, DevOps", "majorSkillsList" : [ "Data management", "Distributed systems", "Python", "DevOps" ], "coreResponsibilities" : "Evolve transfer engines of Rucio, Evolve policy engines of Rucio, Improve usability of Rucio, Improve scalability of Rucio, Improve performance of Rucio, Contribute to DevOps activities, Contribute to operational activities, Maintain core components of Rucio, Contribute to evolution of Rucio, Design Rucio components, Develop Rucio components, Design ATLAS-specific components, Develop ATLAS-specific components, Support operation of Rucio deployment, Collaborate with experts across CERN, Collaborate with ATLAS collaboration, Collaborate with Rucio community, Contribute to system evolution for HL-LHC", "teamCollaboration" : "International teams; Multidisciplinary teams; Distributed development teams; Scientific collaborations; Open-source community", "domainKnowledge" : "Scientific data management; Large-scale data processing; High-Luminosity LHC; Distributed data management", "domainList" : [ "scientific-data-management", "large-scale-data-processing", "high-luminosity-lhc", "distributed-data-management" ], "domainSpecificKnowledge" : [ "Scientific data management", "Large-scale data processing", "High-Luminosity LHC", "Distributed data management" ], "toolProficiency" : [ "Kubernetes" ], "continuousLearning" : "Language classes; On-the-job training; Formal training", "specialRequirements" : "Stand-by duty, Work during nights, Work during Sundays, Work during holidays", "qualificationsBasic" : "2 to 6 years post-graduation professional experience with Master's degree, No more than 3 years post-graduation professional experience with PhD, National of a CERN Member or Associate Member State, Never had a CERN fellow or graduate contract before, Software engineering experience for distributed systems, Software engineering experience for large-scale systems, Software engineering experience for data-intensive systems, Developing and maintaining production-grade software, Design and implementation of distributed services, Design and implementation of APIs, Design and implementation of data management systems at scale, Practical experience with DevOps practices, Experience operating production services in Linux, Experience supporting production services in Linux, Excellent proficiency in Python programming, Demonstrated knowledge of distributed systems, Demonstrated knowledge of data-intensive applications, Demonstrated knowledge of computer networks, Demonstrated knowledge of database technologies, Proven experience in software design, Proven experience in system architecture, Proven experience in CI/CD practices in production, Proficiency in Linux, Proficiency in Kubernetes-based environments", "qualificationsPreferred" : "Experience with containerised deployments, Experience with orchestration in production environments, Familiarity with scientific computing environments, Familiarity with large-scale data processing frameworks, Contribution to open-source software projects, Experience in collaborative distributed development environments", "remoteFriendly" : false, "workSiteFlexibility" : "Hybrid", "rawDescription" : "We are offering a position within the ATLAS Experiment at CERN, contributing to the development and operation of Rucio, a widely used open-source scientific data management system supporting some of the largest scientific collaborations in the world. Experiments such as ATLAS, CMS, Belle II, SKA, DUNE, and others rely on Rucio to manage globally distributed data at the multi-exabyte scale. Rucio is developed across CERN's Research & Computing Sector within the EP-ATL-CO section, which focuses on extending, integrating, and operating the system in support of the ATLAS Experiment. You will join a team of software engineers and computing specialists working on distributed scientific data management. Your work will include contributing to the design and development of Rucio and ATLAS-specific components, supporting the operation of the Rucio deployment for the ATLAS Experiment, and collaborating closely with experts across CERN, the ATLAS collaboration, and the wider Rucio open-source community. You will also contribute to the evolution of the system to meet the data challenges of the High-Luminosity Large Hadron Collider (HL-LHC). Your responsibilities * Evolve the transfer and policy engines of Rucio to meet HL-LHC scale requirements. * Improve the usability, scalability, and performance of Rucio for the ATLAS Experiment. * Contribute to DevOps and operational activities for the ATLAS Rucio production deployment. * Help maintain core components of Rucio. * Contribute to the evolution of Rucio within the broader scientific data management community. Your profile * Proven experience in software engineering for distributed, large-scale, or data-intensive systems. * Strong track record of developing and maintaining production-grade software. * Experience in the design and implementation of distributed services, APIs, or data management systems at scale. * Practical experience with DevOps practices, including automated testing, CI/CD pipelines, and production service operations. * Experience operating or supporting production services in Linux-based environments. * Experience with containerised deployments and orchestration in production environments is highly desirable. * Familiarity with scientific computing environments and large-scale data processing frameworks is an advantage. * Contribution to open-source software projects or experience in collaborative distributed development environments is an asset. Skills * Excellent proficiency in Python programming. * Demonstrated knowledge of distributed systems, data-intensive applications, computer networks, and database technologies. * Proven experience in software design, system architecture, and CI/CD practices in production environments. * Proficiency in Linux and Kubernetes-based environments. * Strong communication skills and ability to collaborate effectively in international, multidisciplinary, and distributed development teams. * Spoken and written English, with a commitment to learn French. Eligibility criteria: * You are a national of a [CERN Member or Associate Member State](https://home.cern/about/member-states). * You have a professional background in Computer Science (or a related field) and have either: * a Master's degree with 2 to 6 years of post-graduation professional experience; * or a PhD with no more than 3 years of post-graduation professional experience. * You have never had a CERN fellow or graduate contract before. ## Additional Information Job closing date: 06.07.2026 at 23:59 CEST. Contract duration: 24 months, with a possible extension up to 36 months maximum. Working hours: 40 hours per week Job flexibility: Hybrid Target start date: 01-August-2026 This position involves: * Stand-by duty, when required by the needs of the Organization. * Work during nights, Sundays and official holidays, when required by the needs of the Organization. Job reference: EP-ATL-CO-2026-111-GRAP Field of work: Software Engineering and IT Benchmark job: 200020 - Computing Engineer Global Benefits * A monthly stipend between 6372-7004 Swiss Francs per month (tax free) depending on your degree. * 30 days of paid leave per year plus 2 weeks annual closure. * Coverage by CERN’s comprehensive health insurance scheme (for yourself, your spouse and children), and membership of the CERN Pension Fund. * Family, child and infant monthly allowances depending on your individual circumstances. * A relocation package (installation grant and travel expenses) depending on your individual circumstances. * Possibility to extend your contract up to 36 months. * On-the-job and formal training including language classes. Overview of CERN - Discover a world where the impossible is made possible! At CERN, the European Organization for Nuclear Research, we are pushing the frontiers of science and technology. Our groundbreaking work brings together not only physicists but also a diverse range of professionals from engineering, technical, scientific, and administrative fields. Together, we foster an environment where innovation and collaboration thrive. Every day, we face exciting new challenges and opportunities to contribute to cutting-edge research that shapes our understanding of the universe. We meet these challenges through the diverse perspectives within our teams, ensuring every contribution is valued and driving our shared sense of inclusion and purpose. Diversity is a core value of CERN since its foundation, and it remains central to our mission and continued success. If you are ready to be part of a dynamic, inclusive community pushing the boundaries of knowledge, CERN is the place where your curiosity and skills can thrive. Be part of our mission to uncover what lies at the heart of the universe! TAKE PART! More information about us, here:[careers.cern](https://careers.cern/)", "summaryDescription" : "Software Engineer in Data Management at CERN. Skills: Data management, Distributed systems, Python, DevOps. Evolve transfer engines of Rucio. Evolve policy engines of Rucio", "postedDate" : "2026-06-15T13:32:40.000", "createdAt" : "2026-06-15T21:41:36.246", "lastUpdated" : "2026-06-16T07:31:43.693", "ingestTimestamp" : "2026-06-15T21:41:36.246", "mongoId" : "6a304fc6f292fd229cee9d4f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Automated testing", "CI/CD pipelines", "Data management", "Distributed systems", "Python", "DevOps", "Software engineering", "System operations", "Scientific data management", "Large-scale data processing", "High-Luminosity LHC", "Distributed data management", "Kubernetes" ], "skillCount" : 13, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305054f292fd229ceef015", "title" : "Software Engineer in Data Management", "company" : "CERN", "industry" : "Research", "salary" : { "min" : 115000.0, "max" : 155000.0, "currency" : "CHF", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Mid-level Software Engineer in Data Management in Geneva, Switzerland, adjusted for the technology industry and CERN's size and reputation." }, "location" : "Geneva, GENEVA, CH", "locations" : [ "Geneva", "GENEVA", "CH" ], "timestamp" : "2026-06-16T08:28:05.405", "fingerprint" : "f4a1c348004775b52cea238332331c487cd8d8420f2c3c82ae45af3143ebc3dc", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/CERN/744000132199460-software-engineer-in-data-management-ep-atl-co-2026-111-grap-", "externalId" : "744000132199460", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Geneva", "state" : "Geneva", "country" : "Switzerland", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "46.2017559,6.1466014" } ], "locationText" : "Geneva, Geneva, Switzerland", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "entry", "technicalSkills" : "Python, Linux, Kubernetes", "professionalSkills" : [ "System design", "System architecture", "DevOps practices", "Automated testing", "CI/CD pipelines", "Production service operations" ], "hardSkillsList" : [ "Data management", "Distributed systems", "Large-scale systems", "Data-intensive systems", "Production software", "Distributed services", "APIs", "Database technologies", "Software design", "System architecture", "CI/CD practices", "Containerised deployments", "Orchestration" ], "hardSkills" : [ { "name" : "Data management", "level" : "intermediate" }, { "name" : "Distributed systems", "level" : "intermediate" }, { "name" : "Large-scale systems", "level" : "intermediate" }, { "name" : "Data-intensive systems", "level" : "intermediate" }, { "name" : "Production software", "level" : "intermediate" }, { "name" : "Distributed services", "level" : "intermediate" }, { "name" : "APIs", "level" : "intermediate" }, { "name" : "Database technologies", "level" : "intermediate" }, { "name" : "Software design", "level" : "intermediate" }, { "name" : "System architecture", "level" : "intermediate" }, { "name" : "CI/CD practices", "level" : "intermediate" }, { "name" : "Containerised deployments", "level" : "intermediate" }, { "name" : "Orchestration", "level" : "intermediate" } ], "majorSkills" : "Data management, Distributed systems, Python, DevOps", "majorSkillsList" : [ "Data management", "Distributed systems", "Python", "DevOps" ], "coreResponsibilities" : "Evolve transfer engines of Rucio, Evolve policy engines of Rucio, Improve usability of Rucio, Improve scalability of Rucio, Improve performance of Rucio, Contribute to DevOps activities, Contribute to operational activities, Maintain core components of Rucio, Contribute to evolution of Rucio", "teamCollaboration" : "International teams; Multidisciplinary teams; Distributed development teams; Open-source community", "domainKnowledge" : "Scientific data management; Large-scale data processing; Distributed systems; Data-intensive applications; Cloud-native architecture", "domainList" : [ "scientific-data-management", "large-scale-data-processing", "distributed-systems", "data-intensive-applications", "cloud-native-architecture" ], "domainSpecificKnowledge" : [ "Scientific data management", "Large-scale data processing", "Distributed systems", "Data-intensive applications", "Cloud-native architecture" ], "toolProficiency" : [ "Kubernetes" ], "continuousLearning" : "Language classes; On-the-job training; Formal training", "specialRequirements" : "Stand-by duty, Work during nights, Work during Sundays, Work during holidays", "qualificationsBasic" : "2 to 6 years post-graduation professional experience with Master's degree, No more than 3 years post-graduation professional experience with PhD, National of a CERN Member or Associate Member State, Never had a CERN fellow or graduate contract before, Software engineering experience for distributed systems, Software engineering experience for large-scale systems, Software engineering experience for data-intensive systems, Developing and maintaining production-grade software, Design and implementation of distributed services, Design and implementation of APIs, Design and implementation of data management systems at scale, Practical experience with DevOps practices, Experience operating production services in Linux, Experience supporting production services in Linux, Excellent proficiency in Python programming, Demonstrated knowledge of distributed systems, Demonstrated knowledge of data-intensive applications, Demonstrated knowledge of computer networks, Demonstrated knowledge of database technologies, Proven experience in software design, Proven experience in system architecture, Proven experience in CI/CD practices in production", "qualificationsPreferred" : "Experience with containerised deployments, Experience with orchestration in production environments, Familiarity with scientific computing environments, Familiarity with large-scale data processing frameworks, Contribution to open-source software projects, Experience in collaborative distributed development environments", "remoteFriendly" : false, "workSiteFlexibility" : "Hybrid", "rawDescription" : "We are offering a position within the ATLAS Experiment at CERN, contributing to the development and operation of Rucio, a widely used open-source scientific data management system supporting some of the largest scientific collaborations in the world. Experiments such as ATLAS, CMS, Belle II, SKA, DUNE, and others rely on Rucio to manage globally distributed data at the multi-exabyte scale. Rucio is developed across CERN's Research & Computing Sector within the EP-ATL-CO section, which focuses on extending, integrating, and operating the system in support of the ATLAS Experiment. You will join a team of software engineers and computing specialists working on distributed scientific data management. Your work will include contributing to the design and development of Rucio and ATLAS-specific components, supporting the operation of the Rucio deployment for the ATLAS Experiment, and collaborating closely with experts across CERN, the ATLAS collaboration, and the wider Rucio open-source community. You will also contribute to the evolution of the system to meet the data challenges of the High-Luminosity Large Hadron Collider (HL-LHC). Your responsibilities * Evolve the transfer and policy engines of Rucio to meet HL-LHC scale requirements. * Improve the usability, scalability, and performance of Rucio for the ATLAS Experiment. * Contribute to DevOps and operational activities for the ATLAS Rucio production deployment. * Help maintain core components of Rucio. * Contribute to the evolution of Rucio within the broader scientific data management community. Your profile * Proven experience in software engineering for distributed, large-scale, or data-intensive systems. * Strong track record of developing and maintaining production-grade software. * Experience in the design and implementation of distributed services, APIs, or data management systems at scale. * Practical experience with DevOps practices, including automated testing, CI/CD pipelines, and production service operations. * Experience operating or supporting production services in Linux-based environments. * Experience with containerised deployments and orchestration in production environments is highly desirable. * Familiarity with scientific computing environments and large-scale data processing frameworks is an advantage. * Contribution to open-source software projects or experience in collaborative distributed development environments is an asset. Skills * Excellent proficiency in Python programming. * Demonstrated knowledge of distributed systems, data-intensive applications, computer networks, and database technologies. * Proven experience in software design, system architecture, and CI/CD practices in production environments. * Proficiency in Linux and Kubernetes-based environments. * Strong communication skills and ability to collaborate effectively in international, multidisciplinary, and distributed development teams. * Spoken and written English, with a commitment to learn French. Eligibility criteria: * You are a national of a [CERN Member or Associate Member State](https://home.cern/about/member-states). * You have a professional background in Computer Science (or a related field) and have either: * a Master's degree with 2 to 6 years of post-graduation professional experience; * or a PhD with no more than 3 years of post-graduation professional experience. * You have never had a CERN fellow or graduate contract before. ## Additional Information Job closing date: 06.07.2026 at 23:59 CEST. Contract duration: 24 months, with a possible extension up to 36 months maximum. Working hours: 40 hours per week Job flexibility: Hybrid Target start date: 01-August-2026 This position involves: * Stand-by duty, when required by the needs of the Organization. * Work during nights, Sundays and official holidays, when required by the needs of the Organization. Job reference: EP-ATL-CO-2026-111-GRAP Field of work: Software Engineering and IT Benchmark job: 200020 - Computing Engineer Global Benefits * A monthly stipend between 6372-7004 Swiss Francs per month (tax free) depending on your degree. * 30 days of paid leave per year plus 2 weeks annual closure. * Coverage by CERN’s comprehensive health insurance scheme (for yourself, your spouse and children), and membership of the CERN Pension Fund. * Family, child and infant monthly allowances depending on your individual circumstances. * A relocation package (installation grant and travel expenses) depending on your individual circumstances. * Possibility to extend your contract up to 36 months. * On-the-job and formal training including language classes. Overview of CERN - Discover a world where the impossible is made possible! At CERN, the European Organization for Nuclear Research, we are pushing the frontiers of science and technology. Our groundbreaking work brings together not only physicists but also a diverse range of professionals from engineering, technical, scientific, and administrative fields. Together, we foster an environment where innovation and collaboration thrive. Every day, we face exciting new challenges and opportunities to contribute to cutting-edge research that shapes our understanding of the universe. We meet these challenges through the diverse perspectives within our teams, ensuring every contribution is valued and driving our shared sense of inclusion and purpose. Diversity is a core value of CERN since its foundation, and it remains central to our mission and continued success. If you are ready to be part of a dynamic, inclusive community pushing the boundaries of knowledge, CERN is the place where your curiosity and skills can thrive. Be part of our mission to uncover what lies at the heart of the universe! TAKE PART! More information about us, here:[careers.cern](https://careers.cern/)", "summaryDescription" : "Software Engineer in Data Management at CERN. Skills: Data management, Distributed systems, Python, DevOps. Evolve transfer engines of Rucio. Evolve policy engines of Rucio", "postedDate" : "2026-06-15T13:32:40.000", "createdAt" : "2026-06-15T21:35:09.840", "lastUpdated" : "2026-06-16T08:28:05.405", "ingestTimestamp" : "2026-06-15T21:35:09.840", "mongoId" : "6a305054f292fd229ceef015", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Data management", "Distributed systems", "Large-scale systems", "Data-intensive systems", "Production software", "Distributed services", "APIs", "Database technologies", "Software design", "System architecture", "CI/CD practices", "Containerised deployments", "Orchestration", "Python", "DevOps", "System design", "DevOps practices", "Automated testing", "CI/CD pipelines", "Production service operations", "Scientific data management", "Large-scale data processing", "Data-intensive applications", "Cloud-native architecture", "Kubernetes" ], "skillCount" : 25, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a210e3374d8ee00a0af634b", "title" : "Senior Staff Research Data Scientist, DevIE", "industry" : "Technology", "salary" : { "min" : 200000.0, "max" : 300000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Staff Research Data Scientist in Sunnyvale, United States, adjusted for seniority and industry." }, "location" : "[Sunnyvale, CA, USA, [111 W Java Dr, Sunnyvale, CA 94089, USA], Sunnyvale, 94089, CA, US]", "locations" : [ "[Sunnyvale, CA, USA, [111 W Java Dr, Sunnyvale, CA 94089, USA], Sunnyvale, 94089, CA, US]" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T12:30:27.593", "fingerprint" : "46caa61f5b415962724c743a05d4d61cccceba2e1af21aa3d88517adc1c4f938", "source" : "google", "language" : "en", "externalId" : "104471617785995974", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sunnyvale", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3688301,-122.0363490" } ], "locationText" : "Sunnyvale, California, United States", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, SQL, R, Scala, Spark, Dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, SageMaker, GCP, Vertex AI, Azure, ML Studio", "professionalSkills" : [ "Quantitative analysis", "Statistical modeling", "Machine learning", "Data engineering", "Business intelligence", "Analytics engineering" ], "hardSkillsList" : [ "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Regression", "level" : "intermediate" }, { "name" : "Classification", "level" : "intermediate" }, { "name" : "Clustering", "level" : "intermediate" }, { "name" : "Time-series analysis", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Machine Learning, Data Science, Statistical Modeling", "majorSkillsList" : [ "Machine Learning", "Data Science", "Statistical Modeling" ], "coreResponsibilities" : "Conduct research and develop novel ML models, Design and implement data pipelines, Build and maintain BI dashboards, Analyze complex datasets, Collaborate with engineering teams, Communicate findings to stakeholders", "teamCollaboration" : "Cross-functional teams; Engineering teams; Product 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" : [ "Tableau", "Power BI", "Looker" ], "communicationSkills" : "Present findings; Communicate results", "problemSolvingSkills" : "Problem solving; Analytical skills", "qualificationsBasic" : "5+ years of experience, SQL proficiency, Master's degree in Computer Science, Statistics, Mathematics, or related quantitative field", "qualificationsPreferred" : "PhD preferred, Experience with specific ML frameworks, Cloud platform certifications", "remoteFriendly" : false, "summaryDescription" : "Senior Staff Research Data Scientist, DevIE. Skills: Machine Learning, Data Science, Statistical Modeling. Conduct research and develop novel ML models. Design and implement data pipelines", "postedDate" : "2026-06-16T01:48:37.900", "createdAt" : "2026-06-16T01:48:37.900", "lastUpdated" : "2026-06-16T12:30:27.593", "ingestTimestamp" : "2026-06-16T01:48:37.900", "mongoId" : "6a210e3374d8ee00a0af634b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 200000, "salaryAnnualMax" : 300000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference", "Machine Learning", "Data Science", "Statistical Modeling", "Quantitative analysis", "Statistical modeling", "Machine learning", "Data engineering", "Business intelligence", "Analytics engineering", "Cloud data stacks", "ML frameworks", "BI platforms", "Statistical methods", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Tableau", "Power BI", "Looker" ], "skillCount" : 26, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.6666667, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a10ac3a58b93c861e1ea801", "title" : "Data Assistant", "company" : "SponsorUnited", "industry" : "Sports & Fitness", "salary" : { "min" : 1.85E7, "max" : 2.5E7, "currency" : "COP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Entry-level Data Assistant in the Technology industry in Colombia, adjusted for company size and location." }, "location" : "Colombia", "locations" : [ "Colombia" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-15T08:45:46.130", "fingerprint" : "be722171a2ceb82087d5809199ece9f7a8d9e28ccaf1242ab954b2933a34a347", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://sponsorunited.breezy.hr/p/8a2c9ee6c82e-data-assistant", "externalId" : "8a2c9ee6c82e", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Colombia", "continent" : "sa", "workMode" : "onsite" } ], "locationText" : "Colombia", "employmentType" : "CONTRACT", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Tableau, Power BI, Looker, Metabase, Superset, Qlik, MicroStrategy, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure", "hardSkillsList" : [ "Statistical analysis", "Regression", "Classification", "Clustering", "Time-series", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Regression", "level" : "intermediate" }, { "name" : "Classification", "level" : "intermediate" }, { "name" : "Clustering", "level" : "intermediate" }, { "name" : "Time-series", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Data science, Data engineering, ML/AI, Business intelligence", "majorSkillsList" : [ "Data science", "Data engineering", "ML/AI", "Business intelligence" ], "domainKnowledge" : "Cloud data stacks; Modelling skills", "domainList" : [ "cloud-data-stacks", "modelling-skills" ], "domainSpecificKnowledge" : [ "Cloud data stacks", "Modelling skills" ], "toolProficiency" : [ "Dbt", "Fivetran", "Airflow", "MLflow", "SageMaker", "Vertex AI", "ML Studio" ], "qualificationsBasic" : "SQL proficiency, Years of experience", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : true, "workSiteFlexibility" : "Onsite", "rawDescription" : "Data Assistant About SponsorUnitedSponsorUnited provides access to previously inaccessible sports & entertainment sponsorships and media, helping properties, brands, and agencies most effectively and efficiently partner. Our platform is trusted by leading teams, brands, and agencies worldwide.", "summaryDescription" : "Data Assistant at SponsorUnited. Skills: Data science, Data engineering, ML/AI, Business intelligence", "createdAt" : "2026-06-13T23:57:43.747", "lastUpdated" : "2026-06-15T08:45:46.130", "ingestTimestamp" : "2026-06-13T23:57:43.747", "mongoId" : "6a10ac3a58b93c861e1ea801", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Statistical analysis", "Regression", "Classification", "Clustering", "Time-series", "A/B testing", "Causal inference", "Data science", "Data engineering", "ML/AI", "Business intelligence", "Cloud data stacks", "Modelling skills", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Dbt", "Fivetran", "Airflow", "MLflow", "SageMaker", "Vertex AI", "ML Studio" ], "skillCount" : 24, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.85 }, { "id" : "68ed10ab70f0b99d58e7ba65", "title" : "Data Center Project Assistant, Critical Project Implementation", "company" : "Amazon Data Services, Inc.", "industry" : "Project/Program/Product Management--Technical, Administrative Support, Cloud Computing", "salary" : { "min" : 38400.0, "max" : 66800.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Sterling, Virginia, USA", "locations" : [ "Sterling, Virginia, USA" ], "timestamp" : "2026-06-15T10:19:23.503", "fingerprint" : "dc41d30ba9b74e6aa5866dda3e343afbf50a8407b26dd1cb73c966b3ef34e120", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3105107/apply", "externalId" : "d41806db-471a-49c2-9e2e-3a07b728aa29", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sterling", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "39.0036850,-77.4083096" } ], "locationText" : "Sterling, Virginia, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Microsoft Office Suite, SharePoint", "professionalSkills" : [ "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Resource planning" ], "hardSkillsList" : [ "Administrative tasks", "Change management", "Scope management", "Procurement support" ], "softSkillsList" : [ "Adaptability" ], "hardSkills" : [ { "name" : "Administrative tasks", "level" : "intermediate" }, { "name" : "Change management", "level" : "intermediate" }, { "name" : "Scope management", "level" : "intermediate" }, { "name" : "Procurement support", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Adaptability" } ], "majorSkills" : "Administrative support, Project coordination, Vendor onboarding", "majorSkillsList" : [ "Administrative support", "Project coordination", "Vendor onboarding" ], "coreResponsibilities" : "Handle administrative tasks, Manage badge requests, Manage vendor onboarding, Process project input requests, Submit project funding, Process Vendor Purchase Requests, Process Vendor Orders, Manage changes to Risk Assessment, Manage changes to Method of Procedure templates, Approve Change Management, Coordinate Change Management schedule, Manage scopes of work, Track material delivery, Coordinate internal equipment transfers, Procure IT equipment, Update team wiki, Make travel arrangements, Update Playbook, Update status reports, Provide project support for new hires, Process closeout documents, Manage access requests", "teamCollaboration" : "Partner with Project Engineers; Work with Supply team; Collaborate with AWS teams", "projectManagementSkills" : [ "Resource planning", "Schedule coordination" ], "domainKnowledge" : "Data center operations; AWS infrastructure", "domainList" : [ "data-center-operations", "aws-infrastructure" ], "domainSpecificKnowledge" : [ "Data center operations", "AWS infrastructure" ], "toolProficiency" : [ "Microsoft Word", "Microsoft Excel", "Microsoft Outlook" ], "documentationSkills" : "Closeout documents", "specialRequirements" : "Work 40 hours/week, Work 10 hour shifts", "outcomesObjectives" : "Support organizational goals; Ensure efficient team operations; Ensure productive team operations; Ensure happy team operations", "qualificationsBasic" : "High school diploma or equivalent, 1+ years Microsoft Office Suite, 1+ years SharePoint experience", "qualificationsPreferred" : "1+ years project management experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We are currently seeking an Administrative Assistant to serve as support to our Data Center Project Engineers. Ideal candidates will partner with multiple Data Center Project Engineers to handle administrative tasks freeing up their time to focus on organizational goals. A quick thinker, your flexibility and adaptability are key to constantly changing demands and priorities. You will frequently find yourself in the center of everything that happens on the team. You are pivotal to the success of a well-run, efficient, productive and happy team. In this role, you will wear many hats! Administrative Assistants perform an array of administrative functions critical to running an organization efficiently. You will strategically manage your Data Center Project Engineer's Administration tasks of: • Badge requests and vendor on-boarding • Project input requests • Project funding submission, Vendor Purchase Requests and Orders • Changes to the Risk Assessment, Method of Procedure templates, etc. • Change Management Approvals and schedule coordination • Managing of scopes of work • Track delivery of material with the Power and Cooling Supply team • Coordinate plans for internal equipment transfers • IT equipment procurement • Team wiki updates • Travel arrangements • Update Playbook • Update status at the managers’ request • Misc. project support for new hires Closeout documents (Agile, daily scans, Quality Control, etc.) • Manage requests for access • Standard Working Hours: Monday-Friday from 6:00AM - 2:00PM EST • Ability to work 40 hours/week. Must be able to work 10 hour shifts as needed. About the team AWS Infrastructure Services (AIS) AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help. You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve. #DCCD_AMER Basic Qualifications: - High school or equivalent diploma, or Bachelor's degree - 1+ years of experience with Microsoft Office Suite (Word, Excel and Outlook) required - 1+ years of experience with SharePoint (or similar) Preferred Qualifications: - 1+ years of project management, including resource planning, managing schedules, reporting project status and prioritizing tasks experience - 1+ years of experience in construction, or data center environments - Meets/exceeds Amazon’s leadership principles requirements for this role - Meets/exceeds Amazon’s functional/technical depth and complexity for this role Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $38,400/year in our lowest geographic market up to $66,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Data Center Project Assistant, Critical Project Implementation at Amazon Data Services, Inc.. Skills: Administrative support, Project coordination, Vendor onboarding. Handle administrative tasks. Manage badge requests", "postedDate" : "2026-06-13T20:45:51.973", "createdAt" : "2026-06-13T20:45:51.973", "lastUpdated" : "2026-06-15T10:19:23.503", "ingestTimestamp" : "2026-06-13T20:45:51.973", "mongoId" : "68ed10ab70f0b99d58e7ba65", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3105107/apply", "salaryAnnualMin" : 38400, "salaryAnnualMax" : 66800, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Administrative tasks", "Change management", "Scope management", "Procurement support", "Adaptability", "Administrative support", "Project coordination", "Vendor onboarding", "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Resource planning", "Schedule coordination", "Data center operations", "AWS infrastructure", "Microsoft Word", "Microsoft Excel", "Microsoft Outlook" ], "skillCount" : 19, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.92 }, { "id" : "6a16291c58b93c861e95a17b", "title" : "Data Center Project Manager", "salary" : { "min" : 115000.0, "max" : 155000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-Senior Data Center Project Manager in Denver, USA, adjusted for the technology industry." }, "location" : "United States-Colorado-Denver", "locations" : [ "United States-Colorado-Denver" ], "timestamp" : "2026-06-16T06:51:08.588", "fingerprint" : "ccc8882e38210c2945d85baa5dde7363a0e2ce6986dbf49af0e4884270278db9", "source" : "taleo", "language" : "en", "applyUrl" : "https://hdr.taleo.net/careersection/ex/jobdetail.ftl?job=777638", "externalId" : "777638", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Denver", "state" : "Colorado", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "39.7392364,-104.9848620" } ], "locationText" : "Denver, Colorado, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 7, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "professionalSkills" : [ "Project management", "Organizational skills", "Communication skills" ], "majorSkills" : "Project management", "majorSkillsList" : [ "Project management" ], "teamCollaboration" : "Interact with design teams", "projectManagementSkills" : [ "Project management" ], "communicationSkills" : "Written communication; Verbal communication", "qualificationsBasic" : "Bachelor's degree in related field, 7 years related experience, 2 years project management experience, Ability to interact with various design teams, Excellent organizational skills, Excellent project management skills, Excellent communication skills (written and verbal), Commitment to employee-owned culture", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Required Qualifications Bachelor's degree in related field 7 years related experience A minimum of 2 years project management experience Must have the ability to interact with various design teams, have excellent organizational, project management and communication (both written and verbal) skills 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-Colorado-Denver", "summaryDescription" : "Data Center Project Manager. Skills: Project management", "createdAt" : "2026-06-14T18:53:36.126", "lastUpdated" : "2026-06-16T06:51:08.588", "ingestTimestamp" : "2026-06-14T18:53:36.126", "mongoId" : "6a16291c58b93c861e95a17b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 115000, "salaryAnnualMax" : 155000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Project management", "Organizational skills", "Communication skills" ], "skillCount" : 3, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.85 }, { "id" : "69d5e4952beec4dd3d9317f3", "title" : "Data Engineer, Data Platform Management", "company" : "Amazon.com Services LLC", "industry" : "Data Science, Data Engineering, worldwide grocery stores", "salary" : { "min" : 100000.0, "max" : 178800.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Austin, Texas, USA", "locations" : [ "Austin, Texas, USA" ], "certifications" : [ "AWS Solutions Architect" ], "timestamp" : "2026-06-15T01:36:14.133", "fingerprint" : "963679830a6aaea5cf55e5f2f92ecc1092412c4e2526f165481a90f82d8ed2b9", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10385439/apply", "externalId" : "42eec001-e921-45d8-aed4-03ec30bad787", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Austin", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "30.2711286,-97.7436995" } ], "locationText" : "Austin, Texas, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, Pyspark, Java, SQL, Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, IAM, OBIEE, Business Objects, Cognos, Tableau, MicroStrategy, SSAS Cubes, Informatica, ODI, SSIS, Datastage, NoSQL", "professionalSkills" : [ "Data modeling", "Data integration", "Data analysis", "Business intelligence", "Analytical deliverables" ], "hardSkillsList" : [ "ETL processes", "Data pipelines", "Data delivery" ], "softSkillsList" : [ "Ownership", "Decisiveness", "Mentoring" ], "hardSkills" : [ { "name" : "ETL processes", "level" : "intermediate" }, { "name" : "Data pipelines", "level" : "intermediate" }, { "name" : "Data delivery", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Ownership" }, { "name" : "Decisiveness" }, { "name" : "Mentoring" } ], "majorSkills" : "Data engineering, Data modeling, ETL, Data infrastructure", "majorSkillsList" : [ "Data engineering", "Data modeling", "ETL", "Data infrastructure" ], "coreResponsibilities" : "Participate in on-call rotation, Provide support for reporting applications, Provide support for analytical applications, Ensure business-as-usual operations, Ensure timely data delivery, Lead data integration projects, Lead reporting projects, Lead analytics projects, Understand business requirements, Design scalable data model, Implement scalable data model, Design ETL processes, Implement ETL processes, Design reporting, Implement reporting, Design data infrastructure, Build data infrastructure, Replace third-party solutions, Transform complex datasets, Create analytic deliverables, Drive impact through design, Drive impact through architecture, Drive impact through development, Contribute technical expertise, Transition organization from legacy solutions, Partner with data engineering team members, Deliver on strategic vision, Deliver on strategic objectives, Ensure business continuity, Define reporting strategy, Execute reporting strategy, Define analytics strategy, Execute analytics strategy, Extract data, Transform data, Load data, Collaborate with internal teams, Collaborate with external teams, Scope data pipelines, Design data pipelines, Build data pipelines, Support data pipelines, Lead standups, Lead design sessions, Manage Jira, Create documentation, Create artifacts, Lead peers, Mentor peers", "teamCollaboration" : "Cross-functional initiatives; Cross-functional teams; Data Engineers; Software Developers; Business Intelligence Engineers; Analysts; Product Managers; Program Managers", "projectManagementSkills" : [ "Jira management" ], "domainKnowledge" : "Grocery business; Data platform management; Data warehousing; Bigdata architecture", "domainList" : [ "grocery-business", "data-platform-management", "data-warehousing", "bigdata-architecture" ], "domainSpecificKnowledge" : [ "Grocery business", "Data platform management", "Data warehousing", "Bigdata architecture" ], "toolProficiency" : [ "Jira" ], "documentationSkills" : "Create documentation; Create artifacts", "problemSolvingSkills" : "Root cause analysis", "specialRequirements" : "On-call rotation", "qualificationsBasic" : "5+ years data engineering experience, 3+ years data warehouse technical architectures, 3+ years data modeling, 3+ years ETL/ELT, 3+ years reporting/analytic tools, 3+ years data structures, 3+ years hands-on SQL coding, Experience with AWS technologies, Experience using business intelligence reporting tools, Experience with any ETL tool, Experience with Python, Pyspark or equivalent, Experience in reverse engineering legacy applications", "qualificationsPreferred" : "AWS certification, Associate's degree or above, Experience with non-relational databases, Experience in Database like NoSQL, Experience in Bigdata architecture, Experience includes analytical skills, Experience includes attention to detail, Experience includes effective communication", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon's Worldwide Grocery Stores-Grocery Tech Foundation team is seeking an experienced Data Engineer to lead medium to large cross-functional strategic initiatives that support WWGS strategic goals. This is a unique opportunity for someone inspired by WWGS core values and is interested in Amazon’s high-growth grocery business to bring their whole self to the role. Key job responsibilities - Participate in on-call rotation to provide support for custom-built reporting and analytical applications, ensuring business-as-usual operations and timely data delivery for business users. - Lead data integration, reporting, and analytics projects, leveraging experience in enterprise data engineering. - Understand business requirements, design and implement scalable data model, ETL processes and reporting to address business needs. - Design and build next-generation data infrastructure to replace existing third-party solutions. - Collaborate cross-functionally with Data Engineers, Software Developers, Business Intelligence Engineers, Analysts, Product Managers, and Program Managers. - Transform complex datasets into automated, digestible analytic deliverables. - Demonstrate strong organizational skills, decisiveness, and ownership while working in a team environment. - Drive significant impact through modernized design, architecture, and development of data products. - Contribute technical expertise to help transition the organization from legacy solutions to future-state data infrastructure. - Partner with data engineering team members to deliver on strategic vision and objectives. A day in the life Ensure business continuity and on-time data delivery to business users. Work with your leadership to define and execute the reporting and analytics strategy for WWGST. This will involve leveraging your Data Modeling, SQL and coding skills in languages like Python, Pyspark and Java to extract, transform, and load data. You will collaborate closely with both internal and external teams to scope, design, build, and support efficient and cost-effective data pipelines focused on performance, operational excellence, and delivering business value. This work will span multiple technology stacks, including a custom-built proprietary Amazon framework. You will participate in and lead standups, design sessions, and Jira management, creating necessary documentation and artifacts. Additionally, you will have the opportunity to lead and mentor your peers. About the team The Data Platform Management (DPM) team under Grocery Tech Foundation (GTF) is responsible for data and reporting solutions for Grocery business users. We enable sophisticated, fact-based decision making across WWGST by delivering constantly evolving technology and analytic capabilities. This team will solve challenging and novel problems every day while collaborating with multiple teams across WWGST. You will be able to enjoy and contribute to the unique blend of Amazon and WFM Tech culture. Basic Qualifications: - 5+ years of data engineering experience - 3+ years of data warehouse technical architectures, data modeling, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures and hands-on SQL coding experience - Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions - Experience using business intelligence reporting tools such as OBIEE, Business Objects, Cognos, Tableau, MicroStrategy, SSAS Cubes, etc. - Experience with any ETL tool like, Informatica, ODI, SSIS, Datastage, etc. - Experience with programming languages like Python, Pyspark or equivalent - Experience in reverse engineering legacy analytical/reporting applications where minimal documentation is available. Preferred Qualifications: - AWS certification, such as, AWS Solutions Architect, or a similar cloud certification, or Associate's degree or above - Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases) - Experience in Database like NoSQL, or experience in any Bigdata architecture and experience that includes strong analytical skills, attention to detail, and effective communication abilities - Experience in leveraging GenAI capabilities to enhance and improve SDLC processes Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, TX, Austin - 132,100.00 - 178,800.00 USD annually", "summaryDescription" : "Data Engineer, Data Platform Management at Amazon.com Services LLC. Skills: Data engineering, Data modeling, ETL, Data infrastructure. Participate in on-call rotation. Provide support for reporting applications", "postedDate" : "2026-06-13T08:37:10.520", "createdAt" : "2026-06-13T08:37:10.520", "lastUpdated" : "2026-06-15T01:36:14.133", "ingestTimestamp" : "2026-06-13T08:37:10.520", "mongoId" : "69d5e4952beec4dd3d9317f3", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10385439/apply", "salaryAnnualMin" : 100000, "salaryAnnualMax" : 178800, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "ETL processes", "Data pipelines", "Data delivery", "Ownership", "Decisiveness", "Mentoring", "Data engineering", "Data modeling", "ETL", "Data infrastructure", "Data integration", "Data analysis", "Business intelligence", "Analytical deliverables", "Jira management", "Grocery business", "Data platform management", "Data warehousing", "Bigdata architecture", "AWS Solutions Architect", "Jira" ], "skillCount" : 21, "jobCategory" : "data", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a30652af292fd229cfa5b92", "title" : "Catastrophe & Exposure Management Expert for AI Research Project", "company" : "Aptura", "industry" : "Finance", "salary" : { "min" : 80.0, "max" : 200.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "United Kingdom", "locations" : [ "United Kingdom" ], "certifications" : [ "ACII" ], "timestamp" : "2026-06-16T09:10:04.452", "fingerprint" : "d2ff2843bf29a972dfecc9b3d79d49759a8f8748599888051c1ff7fcc95ceba0", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/aptura/6128fe70-0029-4fb4-9586-0f8102a5c3fc/application", "externalId" : "6128fe70-0029-4fb4-9586-0f8102a5c3fc", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United Kingdom", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "United Kingdom", "employmentType" : "CONTRACT", "experienceMinYears" : 5, "experienceMaxYears" : 8, "experienceLevel" : "Senior", "technicalSkills" : "Moody’s RMS, Verisk Touchstone", "professionalSkills" : [ "Catastrophe modeling", "Exposure management", "Reinsurance analytics", "Portfolio aggregation", "Accumulation assessments", "Portfolio exposure reviews", "Reinsurance exposure decisions", "Underwriting decisions", "Reinsurance decisions" ], "hardSkillsList" : [ "Catastrophe modeling", "Exposure management", "Reinsurance analytics", "Portfolio aggregation", "Accumulation analysis", "PML analysis", "AEP analysis", "OEP analysis" ], "hardSkills" : [ { "name" : "Catastrophe modeling", "level" : "intermediate" }, { "name" : "Exposure management", "level" : "intermediate" }, { "name" : "Reinsurance analytics", "level" : "intermediate" }, { "name" : "Portfolio aggregation", "level" : "intermediate" }, { "name" : "Accumulation analysis", "level" : "intermediate" }, { "name" : "PML analysis", "level" : "intermediate" }, { "name" : "AEP analysis", "level" : "intermediate" }, { "name" : "OEP analysis", "level" : "intermediate" } ], "majorSkills" : "Catastrophe modeling, Exposure management, Reinsurance analytics", "majorSkillsList" : [ "Catastrophe modeling", "Exposure management", "Reinsurance analytics" ], "coreResponsibilities" : "Design catastrophe tasks, Design exposure management tasks, Design accumulation assessments, Design portfolio exposure reviews, Design reinsurance exposure decisions, Write evaluation rubrics, Review AI-generated catastrophe analyses, Review AI-generated exposure assessments, Review AI-generated portfolio risk evaluations, Identify model misinterpretations, Identify overlooked accumulation risks, Identify misused exposure data, Build reference catastrophe studies, Build benchmark exposure analyses", "domainKnowledge" : "Catastrophe modeling; Exposure management; Portfolio aggregation; Reinsurance analytics; Insurance problems; Accumulation risk; PML; AEP; OEP", "domainList" : [ "catastrophe-modeling", "exposure-management", "portfolio-aggregation", "reinsurance-analytics", "insurance-problems", "accumulation-risk", "pml", "aep", "oep" ], "domainSpecificKnowledge" : [ "Catastrophe modeling", "Exposure management", "Portfolio aggregation", "Reinsurance analytics", "Insurance problems", "Accumulation risk", "PML", "AEP", "OEP" ], "toolProficiency" : [ "Moody’s RMS", "Verisk Touchstone" ], "communicationSkills" : "Communicate risk assessments; Communicate judgments; Communicate rationale", "problemSolvingSkills" : "Reasoning through data quality; Reasoning through model assumptions; Reasoning through accumulation risk; Reasoning through PML interpretation; Reasoning through reinsurance implications", "qualificationsBasic" : "5–8+ years in catastrophe modeling, 5–8+ years in exposure management, Managed catastrophe exposure, Managed accumulation analysis, Managed portfolio risk assessments, Informed underwriting decisions, Informed reinsurance decisions, Hands-on experience with Moody’s RMS, Hands-on experience with Verisk Touchstone, Familiarity with PML analysis, Familiarity with AEP analysis, Familiarity with OEP analysis", "qualificationsPreferred" : "ACII preferred, Catastrophe modeling qualification preferred, Numerate degree preferred", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "About Aptura Aptura works with leading foundational AI labs to bring institutional finance expertise directly into AI model development. Founded by ex-Lazard and Partners Group professionals, we operate from London and San Francisco. The Opportunity You’ve built deep expertise in catastrophe modeling, exposure management, portfolio aggregation, or reinsurance analytics, and produced work that drives real decisions. Now that expertise has a new application: shaping how frontier AI models reason through complex insurance problems. What you'll do - Design realistic catastrophe and exposure management tasks: catastrophe modeling exercises, accumulation assessments, portfolio exposure reviews, and reinsurance exposure decisions without clean answers. - Write evaluation rubrics that reflect how experienced catastrophe and exposure professionals reason through data quality, model assumptions, accumulation risk, PML interpretation, and reinsurance implications. - Review AI-generated catastrophe analyses, exposure assessments, and portfolio risk evaluations, identifying where models misinterpret catastrophe outputs, overlook accumulation risks, or misuse exposure data. - Build reference catastrophe studies and benchmark exposure analyses that set the standard models to be tested. - Communicate catastrophe risk assessments, exposure judgments, and rationale clearly in writing. How Engagements Work Fully remote, part-time, and flexible. Work is scoped by project and ranges from short engagements to ongoing collaborations, structured as a contract or a monthly retainer. You May Be A Good Fit If: - 5–8+ years in catastrophe modeling or exposure management at an insurer, reinsurer, broker, or modeling vendor. - You’ve managed catastrophe exposure, accumulation analysis, PML reporting, or portfolio risk assessments that informed underwriting or reinsurance decisions. - Hands-on experience with Moody’s RMS and/or Verisk Touchstone, and familiarity with PML, AEP, and OEP analysis. - ACII, a catastrophe modeling qualification, or a numerate degree (preferred, not required). - You can explain what catastrophe model outputs do and do not tell you clearly enough to teach the reasoning, not just the outcome. Compensation $80–$200 per hour, aligned with expertise, scope, and impact; exceptional or highly specialised expertise can go higher. Ongoing engagements are typically structured as a monthly retainer rather than on an hourly basis.", "summaryDescription" : "Catastrophe & Exposure Management Expert for AI Research Project at Aptura. Skills: Catastrophe modeling, Exposure management, Reinsurance analytics. Design catastrophe tasks. Design exposure management tasks", "createdAt" : "2026-06-16T00:27:06.734", "lastUpdated" : "2026-06-16T09:10:04.452", "ingestTimestamp" : "2026-06-16T00:27:06.734", "mongoId" : "6a30652af292fd229cfa5b92", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 166400, "salaryAnnualMax" : 416000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Catastrophe modeling", "Exposure management", "Reinsurance analytics", "Portfolio aggregation", "Accumulation analysis", "PML analysis", "AEP analysis", "OEP analysis", "Accumulation assessments", "Portfolio exposure reviews", "Reinsurance exposure decisions", "Underwriting decisions", "Reinsurance decisions", "Insurance problems", "Accumulation risk", "PML", "AEP", "OEP", "ACII", "Moody’s RMS", "Verisk Touchstone" ], "skillCount" : 21, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Insurance", "llmIndustryConfidence" : 0.95 }, { "id" : "68ed10ad70f0b99d58e7bc34", "title" : "Data Engineer II, Intelligence Data Service, Project Kuiper", "company" : "Amazon Kuiper Manufacturing Enterprises LLC", "industry" : "Procurement, Data Engineering, alexa and amazon devices", "salary" : { "min" : 118900.0, "max" : 205600.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Bellevue, Washington, USA", "locations" : [ "Bellevue, Washington, USA" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T06:06:24.841", "fingerprint" : "88f6d09b00aa46f910ee92bf212192fa4cdd0630b04bf431cf03342857114172", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3104679/apply", "externalId" : "76a96673-2993-42f7-a3d7-52d3192324e8", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bellevue", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6144219,-122.1923370" } ], "locationText" : "Bellevue, Washington, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, Java, Scala, Spark, Hadoop, Data warehousing, ETL, Data modeling, AWS, S3, Glue, SageMaker, Athena, Redshift, Snowflake, BigQuery, Databricks, Dbt, Airflow, Fivetran, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow", "professionalSkills" : [ "Data engineering", "Data architecture", "System design", "Performance tuning", "Cloud computing" ], "hardSkillsList" : [ "Data pipeline development", "Database management", "Statistical analysis", "Machine learning implementation", "Data visualization" ], "hardSkills" : [ { "name" : "Data pipeline development", "level" : "intermediate" }, { "name" : "Database management", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Machine learning implementation", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" } ], "majorSkills" : "Data engineering, Data warehousing, ETL, Machine learning", "majorSkillsList" : [ "Data engineering", "Data warehousing", "ETL", "Machine learning" ], "coreResponsibilities" : "Design, build, and maintain scalable data pipelines, Develop and optimize ETL processes, Implement data warehousing solutions, Collaborate with data scientists and analysts, Ensure data quality and integrity, Build and manage data models, Deploy and manage machine learning models, Monitor and troubleshoot data systems, Automate data processes, Document data architecture and processes", "teamCollaboration" : "Cross-functional teams; Data scientists; Analysts; Software engineers", "projectManagementSkills" : [ "Agile methodologies", "Scrum" ], "domainKnowledge" : "Data warehousing concepts; Data modeling; Machine learning frameworks; Cloud data services; Distributed systems", "domainList" : [ "data-warehousing-concepts", "data-modeling", "machine-learning-frameworks", "cloud-data-services", "distributed-systems" ], "domainSpecificKnowledge" : [ "Data warehousing concepts", "Data modeling", "Machine learning frameworks", "Cloud data services", "Distributed systems" ], "toolProficiency" : [ "AWS", "Spark", "Hadoop", "SQL", "Python", "Dbt", "Airflow", "Snowflake", "BigQuery", "Redshift", "Databricks", "Scikit-learn", "TensorFlow", "PyTorch" ], "communicationSkills" : "Technical presentations; Documentation", "documentationSkills" : "Data architecture documentation; Process documentation", "problemSolvingSkills" : "Root cause analysis; Troubleshooting; Data analysis", "qualificationsBasic" : "5+ years of experience in data engineering, Bachelor's degree in Computer Science, Engineering, or related field, Proficiency in SQL, Experience with data modeling and warehousing concepts", "qualificationsPreferred" : "Master's degree or PhD, Experience with large-scale data processing systems, Experience with AWS services, Experience with machine learning frameworks", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Project Kuiper is Amazon’s low Earth orbit satellite broadband network. Its mission is to deliver fast, reliable internet to customers and communities around the world, and we’ve designed the system with the capacity, flexibility, and performance to serve a wide range of customers, from individual households to schools, hospitals, businesses, government agencies, and other organizations operating in locations without reliable connectivity. Export Control : This position requires that the candidate selected be a U.S. Citizen in order to comply with U.S. government-imposed requirements related to the nature of the work and/or where it will be performed. Kuiper Intelligence Data Services (KIDS) team is seeking a Senior Data Engineer who will help architect and build enterprise grade data platform, combining data lake and mesh architectures using latest AWS data services. In this role, you'll be responsible for building and maintaining the organization's central data platform that serves as the single source of truth, enabling teams across the company to develop analytics and dashboards. Working closely with cross-functional teams across hardware, software, supply chain, manufacturing, launch, facilities, finance, compliance, and HR, you'll implement sophisticated data architectures to support various analytics use cases including business reporting, production pipelines, optimization models, statistical analysis, and simulations. As a Sr Data Engineer, you will be responsible for architecture and engineering of data infrastructure across our systems of supply chain, development, production and test. You'll drive production optimization by managing data stores, developing key performance indicators, and enabling data-driven program decisions. The role focuses on architecting and implementing data ingestion processes that provide crucial insights into our business health, ultimately serving as the foundation for our organization's data-driven future. Strong expertise in AWS data services and experience with enterprise-scale data architectures is essential for success in this position. The ideal candidate is a technically savvy engineer maintaining strong ownership, detail-oriented analytical thinker, communicates effectively with both technical and business teams and thrives in a fast-paced agile environment. They combine strong technical expertise with business acumen, can manage multiple priorities, and adapts quickly to changing requirements and priorities. Key job responsibilities - Design, implement and maintain data infrastructure including data modeling, ETL pipelines, and ongoing maintenance. - Partner with product, operational, and technical teams to build data pipelines from a wide variety of sources using AWS big data technologies (Lake Formation, Glue, S3, MWAA, Lambda, etc.). - Build a data dictionary, catalog and governance plan and manage and audit all of the registered data via robust mechanisms. - Work with data consumers to provide and correlate the right data for business intelligence and machine learning use-cases. - Develop automated solutions to minimize manual processes with focus on efficiency and scalability. - Provide guidance on data stewardship for teams onboarding to the central data systems. A day in the life As a Data Engineer, you'll start your day collaborating with cross-functional partners to understand their data needs. You might spend time optimizing ETL pipelines, reviewing code with team members, or designing new data models. Yow will work with partner teams on building golden datasets. You'll participate in technical discussions to solve complex problems and mentor junior team members. About the team KIDS team owns DataHive, a centralized data and analytics infrastructure that serves as the single source of truth, enabling teams to develop dashboards and insights that drive Kuiper's satellite production operations. The platform enforces robust data governance with tagging and access controls, enhancing data discoverability and security. KIDS offers self-serve capabilities for both data providers and consumers, including features including data quality monitoring, automated and manual data tagging, and the ability to bring in custom data tables. Basic Qualifications: - 3+ years of data engineering experience - Experience with data modeling, warehousing and building ETL pipelines Preferred Qualifications: - Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions - Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases) Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118,900/year in our lowest geographic market up to $205,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Data Engineer II, Intelligence Data Service, Project Kuiper at Amazon Kuiper Manufacturing Enterprises LLC. Skills: Data engineering, Data warehousing, ETL, Machine learning. Design, build, and maintain scalable data pipelines. Develop and optimize ETL processes", "postedDate" : "2026-06-14T19:51:47.390", "createdAt" : "2026-06-14T19:51:47.390", "lastUpdated" : "2026-06-16T06:06:24.841", "ingestTimestamp" : "2026-06-14T19:51:47.390", "mongoId" : "68ed10ad70f0b99d58e7bc34", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3104679/apply", "salaryAnnualMin" : 118900, "salaryAnnualMax" : 205600, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data pipeline development", "Database management", "Statistical analysis", "Machine learning implementation", "Data visualization", "Data engineering", "Data warehousing", "ETL", "Machine learning", "Data architecture", "System design", "Performance tuning", "Cloud computing", "Agile methodologies", "Scrum", "Data warehousing concepts", "Data modeling", "Machine learning frameworks", "Cloud data services", "Distributed systems", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "AWS", "Spark", "Hadoop", "SQL", "Python", "Dbt", "Airflow", "Snowflake", "BigQuery", "Redshift", "Databricks", "Scikit-learn", "TensorFlow", "PyTorch" ], "skillCount" : 38, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c7a7b74d8ee00a09459da", "title" : "Research Analyst (Non-Data)", "company" : "DLH", "industry" : "Government", "salary" : { "min" : 50000.0, "max" : 70000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "United States - Remote", "locations" : [ "United States - Remote" ], "timestamp" : "2026-06-15T03:42:24.456", "fingerprint" : "2bb47dfc553f404a5533834f75597a203d6d74264f4fb0b1a1b69b07e0caeac1", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/dlhcorporation/jobs/5160129007", "externalId" : "5160129007", "industryFunction" : { }, "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "technicalSkills" : "Data management, Data governance, Data analysis, Data dissemination, Artificial intelligence, Cloud enablement, Modeling, Simulation", "professionalSkills" : [ "Performance evaluation", "Systems engineering", "Digital transformation" ], "hardSkillsList" : [ "Scientific evidence translation", "Program data capture", "Data quality assessment" ], "softSkillsList" : [ "Communication skills" ], "hardSkills" : [ { "name" : "Scientific evidence translation", "level" : "intermediate" }, { "name" : "Program data capture", "level" : "intermediate" }, { "name" : "Data quality assessment", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Communication skills" } ], "majorSkills" : "Public health research, Data analysis, Program management", "majorSkillsList" : [ "Public health research", "Data analysis", "Program management" ], "coreResponsibilities" : "Ensure capture of program data, Produce reports based on program data, Monitor commitment and obligation of funds, Prepare reports on disbursement of funded projects, Help translate scientific evidence, Support coordination and management of program activity", "teamCollaboration" : "Cross-functional teams", "projectManagementSkills" : [ "Research project management" ], "domainKnowledge" : "Public health; HIV prevention; Health operations; National security readiness", "domainList" : [ "public-health", "hiv-prevention", "health-operations", "national-security-readiness" ], "domainSpecificKnowledge" : [ "Public health", "HIV prevention", "Health operations", "National security readiness" ], "communicationSkills" : "Written communication; Verbal communication", "documentationSkills" : "Meticulous documentation", "innovationCreativity" : "Innovation", "problemSolvingSkills" : "Problem solving", "specialRequirements" : "Reside within commuting distance of Atlanta, Chicago, or Washington, DC, Occasional in-person meetings", "outcomesObjectives" : "Strengthen nationwide capacity to monitor HIV epidemic", "qualificationsBasic" : "Bachelor's degree in public health, 2 years of experience managing research, Ability to obtain NAC clearance", "qualificationsPreferred" : "Experience handling public health research projects, Experience with systematic reviews, Prior experience with CDC, Master's degree in public health, Detail oriented and able to create meticulous documentation", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About Us DLH delivers improved health and national security readiness solutions for federal programs through science research and development, systems engineering and integration, and digital transformation. Our experts in public health, performance evaluation, and health operations solve the complex problems faced by civilian and military customers alike by leveraging advanced tools – including digital transformation, artificial intelligence, data analytics, cloud enablement, modeling, and simulation, and more. With over 2,400 employees dedicated to the idea that “Your Mission is Our Passion,” DLH brings a unique combination of government sector experience, proven methodology, and unwavering commitment to innovation to improve the lives of millions. Overview DLH Corp, is looking for a Public Health Research Analyst (Non-Data) to join our talented and innovative team supporting the Centers for Disease Control and Prevention (CDC). CDC’s National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention (NCHHSTP), the Division of HIV Prevention (DHP) is charged with preventing HIV infection and reducing the incidence of HIV-related illness and death. The overarching objectives of the contract held by DLH are to assist DHP in addressing its public health mission by providing data management, data governance, data analysis, and data dissemination support to strengthen the nationwide capacity to monitor the HIV epidemic. This position is 100% remote. However, employees may be required to attend occasional in-person meetings, trainings, or team events on an as-needed basis. To support onboarding and compliance requirements, candidates must reside within reasonable commuting distance of Atlanta, GA; Chicago, IL; or Washington, DC. Access to one of these secure office locations is required for smart card issuance, background investigation processing, and other periodic administrative or security-related activities. Responsibilities Ensure the capture of program data. Produce reports based on program data. Monitor the commitment and obligation of funds. Prepare reports on disbursement of funded research or demonstration projects. Help translate scientific evidence from the literature into practical information. Support ongoing coordination and management of program activity. Qualifications Bachelor’s degree in public health or related field. Demonstrated ability to work with multiple data sources to monitor and assess data to ensure data quality, including accuracy and completeness. At least 2 years of experience with managing or running a research or demonstration project. Familiarity with public health research budgets and expenditures. Excellent written and verbal communication skills. Ability to multitask and prioritize competing needs. Must be able to obtain a NAC clearance Preferred Qualifications Experience handling public health research projects. Experience with systematic reviews. Prior experience with CDC, HHS, or other federal or state health agency. Master’s degree in public health or related field. Detail oriented and able to create meticulous documentation of products. Strong organizational and interpersonal skills. Basic Compensation: $50,000 - $70,000 yearly salary The salary range listed reflects what we reasonably expect to pay for this role at the time of posting. The final offer may vary based on skills, experience, geographic location, market conditions, and internal equity. Additional compensation may include performance incentives and program-specific awards. We do not use salary history to determine compensation, in line with applicable law. Benefits DLH Corp offers our employees an excellent benefits package, including Personal Time Off (PTO), medical, dental, vision, supplemental life with AD therefore, we offer a 401(k) Retirement Plan, which includes a matching component. DLH is dedicated to your career development, providing training to help drive success, with access to our best-in-class e-learning suite for formal and informal learning, professional and technical certification preparation, and education assistance at accredited institutions. #LI-REMOTE EEO DLH Corporation is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment. DLH will provide reasonable accommodation to individuals with disabilities and disabled Veterans who need assistance to apply. DLH is committed to maintaining a fair and authentic interview process", "summaryDescription" : "Research Analyst (Non-Data) at DLH. Skills: Public health research, Data analysis, Program management. Ensure capture of program data. Produce reports based on program data", "postedDate" : "2026-06-13T20:23:39.978", "createdAt" : "2026-06-13T20:23:39.978", "lastUpdated" : "2026-06-15T03:42:24.456", "ingestTimestamp" : "2026-06-13T20:23:39.978", "mongoId" : "6a2c7a7b74d8ee00a09459da", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 50000, "salaryAnnualMax" : 70000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Scientific evidence translation", "Program data capture", "Data quality assessment", "Communication skills", "Public health research", "Data analysis", "Program management", "Performance evaluation", "Systems engineering", "Digital transformation", "Research project management", "Public health", "HIV prevention", "Health operations", "National security readiness" ], "skillCount" : 15, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Junior", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ca57974d8ee00a09b6b4e", "title" : "Solution Architect - Data Management", "company" : "Alpha Financial Markets Consulting", "industry" : "Consulting", "salary" : { "min" : 165000.0, "max" : 235000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimation is based on the market baseline for a Lead Solution Architect in the Data Management field, with adjustments for senior experience, the consulting industry, and a lead seniority level in North America." }, "location" : "North America", "locations" : [ "North America" ], "timestamp" : "2026-06-15T10:38:21.751", "fingerprint" : "339b144c17b69fb421620d83912e344403d773aac1c84f7575bfa930e586c198", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/alphafmcroles/jobs/8541913002", "externalId" : "8541913002", "industryFunction" : { }, "structuredLocations" : [ { "continent" : "na", "workMode" : "onsite" } ], "locationText" : "", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Data Management, AWS Glue, Talend, Azure Data Factory, Fivetran, Dbt, Kafka, Kinesis, Event Hub, Snowflake, Databricks, Microsoft Fabric, Synapse, Collibra, Alation, Informatica EDC", "professionalSkills" : [ "Integration initiatives", "Data warehousing concepts", "Data governance", "Metadata management", "Data quality", "Lifecycle management", "Regulatory compliance" ], "hardSkillsList" : [ "ETL/ELT design", "API-driven integration", "Event streaming", "Real-time data distribution", "Data warehousing", "Data governance", "Metadata management", "Data quality", "Lifecycle management", "Access control", "Encryption", "Privacy", "Regulatory compliance" ], "softSkillsList" : [ "Innovative", "Ambitious" ], "hardSkills" : [ { "name" : "ETL/ELT design", "level" : "intermediate" }, { "name" : "API-driven integration", "level" : "intermediate" }, { "name" : "Event streaming", "level" : "intermediate" }, { "name" : "Real-time data distribution", "level" : "intermediate" }, { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "Data governance", "level" : "intermediate" }, { "name" : "Metadata management", "level" : "intermediate" }, { "name" : "Data quality", "level" : "intermediate" }, { "name" : "Lifecycle management", "level" : "intermediate" }, { "name" : "Access control", "level" : "intermediate" }, { "name" : "Encryption", "level" : "intermediate" }, { "name" : "Privacy", "level" : "intermediate" }, { "name" : "Regulatory compliance", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Innovative" }, { "name" : "Ambitious" } ], "majorSkills" : "Data Management, Data Architecture, Data Integration, Cloud Data Platforms", "majorSkillsList" : [ "Data Management", "Data Architecture", "Data Integration", "Cloud Data Platforms" ], "coreResponsibilities" : "Design scalable data architectures, Design secure data architectures, Design reliable data architectures, Incorporate best practices, Manage data engineering projects, Lead cross-functional teams, Manage stakeholder expectations", "teamCollaboration" : "Cross-functional teams; Stakeholder expectations", "projectManagementSkills" : [ "Agile" ], "domainKnowledge" : "Asset & Wealth Management; Data mesh; Data products; Lakehouse architectures; SEC; GDPR; SOC2", "domainList" : [ "asset-wealth-management", "data-mesh", "data-products", "lakehouse-architectures", "sec", "gdpr", "soc2" ], "domainSpecificKnowledge" : [ "Asset & Wealth Management", "Data mesh", "Data products", "Lakehouse architectures", "SEC", "GDPR", "SOC2" ], "toolProficiency" : [ "GoldenSource", "Eagle DM/PACE", "Gresham/S", "Erwin", "ER/Studio", "AWS Glue", "Talend", "Azure Data Factory", "Fivetran", "Dbt", "Kafka", "Kinesis", "Event Hub", "Snowflake", "Databricks", "Microsoft Fabric", "Synapse", "Collibra", "Alation", "Informatica EDC" ], "continuousLearning" : "Professional certifications; Paid training time", "qualificationsBasic" : "Experience with GoldenSource, Experience with Eagle DM/PACE, Experience with Gresham/S, Experience with ERD tools, Experience with ETL/ELT design, Experience with API-driven integration, Experience with event streaming, Experience with real-time data distribution, Experience with cloud data platforms, Experience with data governance, Experience with metadata management, Experience with data quality, Experience with data lifecycle management, Experience with data orchestration, Experience with data transformation frameworks, Experience in Asset & Wealth Management industry, Experience managing data engineering projects, Ability to design scalable architectures, Ability to design secure architectures, Ability to design reliable architectures, Ability to incorporate best practices, Ability to lead cross-functional teams, Ability to manage stakeholder expectations", "qualificationsPreferred" : "ERD tools like Erwin or ER/Studio is a plus, Data mesh familiarity, Data products familiarity, Lakehouse architectures familiarity", "rawDescription" : "About Alpha Group Alpha Group is a leading global consultancy to the financial services industry. Founded in 2003, Alpha has spent over 20 years bringing together specialist, sector-focused strategy, management consulting, and technology expertise to support the entire client transformation lifecycle. Having partnered with more than 1,200 clients worldwide across the asset and wealth management, alternatives, and insurance industries, Alpha is a trusted advisor for complex change programs. We now have over 1,180 consultants working with clients across North America, the UK, Europe, the Middle East, and APAC. In 2024, in recognition of our successful track record and strong growth prospects, Alpha was acquired by Bridgepoint, one of the world's leading quoted private asset growth investors. Our people are at the heart of everything we do. Many of our team have built long and fulfilling careers with us, often staying for over a decade. Alpha offers a genuinely rewarding place to work: a meritocratic environment where your career can flourish, and a welcoming culture where you can be yourself, connect with others, and thrive. As we look to the future, we’re excited to be looking for new Alpha colleagues—individuals who are collaborative, innovative, and ambitious. We hope you will join us and help shape the next chapter of our growth journey. Why join Alpha? Established yet entrepreneurial – with over 20 years of success and a proven record on the London Stock Exchange, Alpha offers the stability of an established consultancy with the energy of a fast-growth business. Backed by Bridgepoint – as part of one of the world’s leading growth investors, Alpha benefits from strategic investment that fuels innovation, expansion and new offerings – creating even more opportunity for our people. Exposure to senior leadership – whether you are in an internal or a client-facing role, you will have the opportunity to work with and learn from the best of the best – high performers at the top of their game. Learning and growth opportunities – we run tailored training to help you be successful, provide you excellent mentorship, and offer up to 5 days paid training time per year. Perhaps the best training though is the experience on the job – as everyone at Alpha has high responsibility and autonomy, you can develop your skillsets quickly. Performance-driven culture with real impact – advancement at Alpha is based on impact and capability, not tenure or quotas. You’ll have autonomy and see the tangible difference your ideas and decisions make About Alpha Tech Services Alpha Tech Services is part of the Alpha Financial Markets Consulting (Alpha FMC) group, the leading global consultancy to the asset and wealth management industry. We are a boutique management consulting firm that offers the world’s top asset and wealth managers a competitive edge through our expertise and industry insight. Our team is of a uniquely high caliber and by focusing on asset and wealth management alone we build deep knowledge and experience within our industry. We work with a blue-chip client base, including 21 of the top 25 largest global asset management firms, and work with over 130 clients across the globe. We have our headquarters located the United Kingdom, as well as offices in major global financial centers across the United States, Canada, France, Luxembourg, Switzerland, Denmark, and Asia. Alpha Tech Services represents the technology implementation/business integration arm of the Alpha group, with deep expertise in delivering change and transformation programs centered around Asset experience with established enterprise platforms including GoldenSource, Eagle DM/PACE, and Gresham/S experience with ERD tools like Erwin or ER/Studio is a plus Hands-on experience leading complex integration initiatives, ETL/ELT design (AWS Glue, Talend, Azure Data Factory, Fivetran, dbt) including API‑driven integration (A/synch, Web Hook/Callback, Event-driven, Bulk), event streaming (Kafka, Kinesis, Event Hub), and real‑time data distribution in large business data environments Strong understanding of data warehousing concepts and experience with cloud data platforms like Snowflake, Databricks, or Microsoft Fabric/Synapse; Familiarity with modern data architecture patterns, such as data mesh, data products, and Lakehouse architectures. Proficiency in data governance and metadata management, including stewardship models, business glossaries, lineage, and tools such as Collibra, Alation, or Informatica EDC. Strong grounding in data quality and lifecycle management, including profiling, monitoring, remediation workflows, and policy‑driven controls. Ability to design scalable, secure, and reliable data architectures, incorporating best practices in access control, encryption, privacy, and regulatory compliance (e.g., SEC, GDPR, SOC2). Experience with data orchestration and transformation frameworks Experience in the Asset & Wealth Management industry Experience managing data engineering projects using Agile or other methodologies Ability to lead cross-functional teams and manage stakeholder expectations Compensation and Perks: A competitive salary with discretionary bonus scheme based on company and personal performance 25 days of annual paid time off 401k matching Sponsorship towards professional certifications / training supported with 5 days of paid training time Choice of laptop Supplemented medical, dental and vision coverage North America team-wide training and employee appreciation retreats Our Commitment to Inclusion At Alpha, diversity, equity and inclusion are critical to our success. Our priorities show a focus on fostering an inclusive, equitable workplace where individuals are treated fairly regardless of gender or background. We welcome applications from disabled people and are committed to making our recruitment process and workplace accessible and inclusive for everyone.", "summaryDescription" : "Solution Architect - Data Management at Alpha Financial Markets Consulting. Skills: Data Management, Data Architecture, Data Integration, Cloud Data Platforms. Design scalable data architectures. Design secure data architectures", "postedDate" : "2026-06-14T03:53:30.685", "createdAt" : "2026-06-14T03:53:30.685", "lastUpdated" : "2026-06-15T10:38:21.751", "ingestTimestamp" : "2026-06-14T03:53:30.685", "mongoId" : "6a2ca57974d8ee00a09b6b4e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 165000, "salaryAnnualMax" : 235000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "ETL/ELT design", "API-driven integration", "Event streaming", "Real-time data distribution", "Data warehousing", "Data governance", "Metadata management", "Data quality", "Lifecycle management", "Access control", "Encryption", "Privacy", "Regulatory compliance", "Innovative", "Ambitious", "Data Management", "Data Architecture", "Data Integration", "Cloud Data Platforms", "Integration initiatives", "Data warehousing concepts", "Agile", "Asset & Wealth Management", "Data mesh", "Data products", "Lakehouse architectures", "SEC", "GDPR", "SOC2", "GoldenSource", "Eagle DM/PACE", "Gresham/S", "Erwin", "ER/Studio", "AWS Glue", "Talend", "Azure Data Factory", "Fivetran", "Dbt", "Kafka", "Kinesis", "Event Hub", "Snowflake", "Databricks", "Microsoft Fabric", "Synapse", "Collibra", "Alation", "Informatica EDC" ], "skillCount" : 49, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Consulting", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ca51974d8ee00a09b4ac2", "title" : "Director, Data Management and Systems", "company" : "Apogee Therapeutics", "industry" : "Biotech", "salary" : { "min" : 215000.0, "max" : 245000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Remote", "locations" : [ "Remote" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T00:34:50.028", "fingerprint" : "a67a650203974e35a7812b79bd50b8cc4f96c4b227cf574f7ee5ceabd7897932", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/apogeetherapeutics/jobs/5161364007", "externalId" : "5161364007", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "experienceMinYears" : 12, "experienceLevel" : "Director", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, AWS, GCP, Azure, SageMaker, Vertex AI, ML Studio, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow", "professionalSkills" : [ "Data management", "Systems management", "Data engineering", "Machine learning", "Business intelligence", "Data analytics", "Quantitative analysis", "Statistical modeling" ], "hardSkillsList" : [ "Data warehousing", "ETL processes", "Data modeling", "Database administration", "Cloud computing", "Statistical analysis", "Machine learning algorithms", "Data visualization", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "ETL processes", "level" : "intermediate" }, { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Database administration", "level" : "intermediate" }, { "name" : "Cloud computing", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Machine learning algorithms", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Data management, Systems management, Machine learning, Business intelligence", "majorSkillsList" : [ "Data management", "Systems management", "Machine learning", "Business intelligence" ], "coreResponsibilities" : "Oversee data management systems, Ensure data integrity, Develop and implement data strategies, Manage data governance policies, Lead data engineering initiatives, Build and maintain data pipelines, Optimize data storage and retrieval, Implement data quality controls, Drive analytics and BI initiatives, Develop predictive models, Collaborate with stakeholders", "teamCollaboration" : "Cross-functional teams; Business stakeholders", "domainKnowledge" : "Genomics; Drug discovery; Clinical trials", "domainList" : [ "genomics", "drug-discovery", "clinical-trials" ], "domainSpecificKnowledge" : [ "Genomics", "Drug discovery", "Clinical trials" ], "toolProficiency" : [ "Tableau", "Power BI", "Looker" ], "communicationSkills" : "Stakeholder communication", "documentationSkills" : "Technical documentation", "problemSolvingSkills" : "Analytical skills", "qualificationsBasic" : "5+ years experience, SQL proficiency, Bachelor's degree", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification, Experience with scikit-learn, Experience with TensorFlow, Experience with PyTorch, Experience with XGBoost, Experience with LightGBM, Experience with Hugging Face, Experience with MLflow", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About Apogee Therapeutics Founded in 2022, Apogee Therapeutics, Inc. (Ticker: APGE) is a well-funded, Nasdaq listed company that offers the opportunity to work in a fast-paced, highly dynamic environment. At Apogee, you can actively contribute to shaping the company culture, take on various roles and responsibilities, and grow professionally. Apogee Therapeutics is a clinical-stage biotechnology company advancing novel biologics with potential for differentiated efficacy and dosing in the largest I ensure accountability and high-quality deliverables. Lead vendor selection and contract input for DM-related services. People Leadership advanced degree preferred. 12+ years of experience in clinical data management within biotech, pharma, or CRO environments. Experience in both operational DM and systems/technology implementation. Demonstrated leadership of DM activities across multiple clinical trials and programs. Technical Expertise Deep knowledge of EDC systems (e.g., Medidata Rave). Strong understanding of CDISC standards (SDTM, CDASH) and data lifecycle. Experience with data integrations, external data (labs, imaging, biomarkers), and decentralized trial technologies. Familiarity with data visualization and analytics tools is a plus. Leadership & Competencies Proven ability to lead cross-functional teams and influence at the program level. Strong strategic thinking with hands-on execution capability. Excellent communication and stakeholder management skills. Experience in fast-paced, growing organizations preferred. Ability to bridge systems/technology with clinical execution. Strong ownership mindset over data quality and delivery timelines. Proactive, solutions-oriented approach to complex data challenges. Effective leadership in ambiguity and evolving clinical landscapes. The anticipated salary range for candidates for this role will be $215,000 - $245,000/year. The final salary offered will depend on several factors, which may include, but is not limited to relevant years of experience, educational background, and geography. What We Offer A great culture, grounded in our C.O.R. E. values: Caring, Original, Resilient and Egoless Opportunity to work in a fast-paced, highly dynamic environment where you help shape the culture and company, wear multiple hats, and learn quickly Market competitive compensation and benefits package, including base salary, performance bonus, equity grant opportunities, health, welfare & retirement benefits We provide competitive time off, including three weeks PTO, two one-week company-wide shutdowns a year and dedicated paid sick leave Commitment to growing you professionally and providing access to resources to further your development Apogee offers regular all team, in-person meetings to build relationships and problem solve E-Verify Participation: As part of the I9 verification of authorization to work in the US, Apogee participates in E-Verify. To learn more about E-Verify please review this poster. Apogee Therapeutics is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. To review our privacy policy, click here It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.", "summaryDescription" : "Director, Data Management and Systems at Apogee Therapeutics. Skills: Data management, Systems management, Machine learning, Business intelligence. Oversee data management systems. Ensure data integrity", "postedDate" : "2026-06-14T20:07:58.302", "createdAt" : "2026-06-14T20:07:58.302", "lastUpdated" : "2026-06-16T00:34:50.028", "ingestTimestamp" : "2026-06-14T20:07:58.302", "mongoId" : "6a2ca51974d8ee00a09b4ac2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 215000, "salaryAnnualMax" : 245000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Data warehousing", "ETL processes", "Data modeling", "Database administration", "Cloud computing", "Statistical analysis", "Machine learning algorithms", "Data visualization", "A/B testing", "Causal inference", "Data management", "Systems management", "Machine learning", "Business intelligence", "Data engineering", "Data analytics", "Quantitative analysis", "Statistical modeling", "Genomics", "Drug discovery", "Clinical trials", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Tableau", "Power BI", "Looker" ], "skillCount" : 28, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Director", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c96bd74d8ee00a09905fc", "title" : "Manager, Data Management & Visualization", "company" : "Omnicom Media", "salary" : { "min" : 1.0, "max" : 1.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, United States", "locations" : [ "New York", "New York", "United States" ], "timestamp" : "2026-06-15T09:04:45.032", "fingerprint" : "ae105037fa53b75294cfb023809b896035dc9191c95fe1deb9f63b8cb62fa1b4", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/mediabrands/jobs/5142684007", "externalId" : "5142684007", "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", "experienceLevel" : "Manager", "softSkillsList" : [ "Advanced verbal skills", "Advanced written skills", "Organizational skills", "Project management skills", "Collaboration skills", "Interpersonal skills", "Proactive problem-solving" ], "softSkills" : [ { "name" : "Advanced verbal skills" }, { "name" : "Advanced written skills" }, { "name" : "Organizational skills" }, { "name" : "Project management skills" }, { "name" : "Collaboration skills" }, { "name" : "Interpersonal skills" }, { "name" : "Proactive problem-solving" } ], "domainKnowledge" : "Diverse dataset types; Campaign management; Performance optimization; Media platforms", "domainList" : [ "diverse-dataset-types", "campaign-management", "performance-optimization", "media-platforms" ], "domainSpecificKnowledge" : [ "Diverse dataset types", "Campaign management", "Performance optimization", "Media platforms" ], "remoteFriendly" : false, "rawDescription" : "Position Summary The Manager, Data Management comfort with diverse dataset types (paid, owned, etc.) Familiarity with campaign management and performance optimization processes Strong attention to detail and ability to identify and resolve data anomalies Advanced verbal, written, organizational, and project management skills; comfortable juggling multiple priorities Excellent collaboration and interpersonal skills with a proactive approach to problem-solving Experience in process automation/continuous improvement initiatives TOOLS Business Intelligence: Advanced Excel (required), Tableau, PowerBI, Datorama, Looker/Looker Studio, Domo, PowerPoint Data Management & Transformation: ETL Tools (Adverity, Datorama), Alteryx, SQL (preferred), Python (nice to have) Data Storage/Cloud: AWS (Redshift, S3), Starburst.io, Datorama, Snowflake, Domo Media Platforms: DCM, DV360, Google Ads, DoubleVerify, IAS, TradeDesk, Facebook, Instagram, Snapchat, Twitter, TikTok, Prisma Project Management: HIVE, Asana, Smartsheet, Microsoft Teams Media Planning: MediaTools, Lumina, Hudson (bonus) Wage and Benefits We offer a Total Rewards package that includes medical and dental coverage, 401(k) plans, flex spending, life insurance, disability, employee discount program, employee stock purchase program and paid family benefits to support you and your family. . The salary range for this position is posted below. Where an employee or prospective employee is paid within this range will depend on, among other factors, actual ranges for current/former employees in the subject position, market considerations, budgetary considerations, tenure and standing with the Company (applicable to current employees), as well as the employee’s/applicant’s skill set, level of experience, and qualifications. Employment Transparency It is our policy to provide equal employment opportunities to all employees and applicants for employment without regard to race, color, ethnicity, gender, age, religion, creed, national origin, sexual orientation, gender identity, marital status, citizenship, genetic information, veteran status, disability, or any other basis prohibited by applicable federal, state, or local law. Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice. The employer will make reasonable accommodations in compliance with the American with Disabilities Act of 1990. The job description will be reviewed periodically as duties and responsibilities change with business necessity. Essential and other job functions are subject to modification. Reasonable accommodations may be provided to enable individuals with disabilities to perform the essential functions. For applicants to jobs in the United States: In compliance with the current Americans with Disabilities Act and state and local laws, if you have a disability and would like to request an accommodation to apply for a position with Mediabrands, please email accommodation@mbww.com. Salary Range $1—$1 USD", "summaryDescription" : "Manager, Data Management & Visualization at Omnicom Media", "postedDate" : "2026-06-14T04:58:35.762", "createdAt" : "2026-06-14T04:58:35.762", "lastUpdated" : "2026-06-15T09:04:45.032", "ingestTimestamp" : "2026-06-14T04:58:35.762", "mongoId" : "6a2c96bd74d8ee00a09905fc", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMax" : 1, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Advanced verbal skills", "Advanced written skills", "Organizational skills", "Project management skills", "Collaboration skills", "Interpersonal skills", "Proactive problem-solving", "Diverse dataset types", "Campaign management", "Performance optimization", "Media platforms" ], "skillCount" : 11, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Media", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c96bd74d8ee00a09905fe", "title" : "Manager, Data Management & Visualization", "company" : "Omnicom Media", "industry" : "Media", "salary" : { "min" : 90000.0, "max" : 105000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, United States", "locations" : [ "New York", "New York", "United States" ], "timestamp" : "2026-06-15T05:20:25.576", "fingerprint" : "678e87c22e4f42cb59ab986cb8f864a54d497d6c5b68502c9f3ddcba368baa75", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/mediabrands/jobs/5129895007", "externalId" : "5129895007", "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", "experienceLevel" : "Manager", "softSkillsList" : [ "Advanced verbal", "Advanced written", "Organizational", "Project management", "Interpersonal", "Proactive problem-solving" ], "softSkills" : [ { "name" : "Advanced verbal" }, { "name" : "Advanced written" }, { "name" : "Organizational" }, { "name" : "Project management" }, { "name" : "Interpersonal" }, { "name" : "Proactive problem-solving" } ], "projectManagementSkills" : [ "HIVE", "Asana", "Smartsheet", "Microsoft Teams" ], "domainKnowledge" : "Paid data; Owned data; Campaign management; Performance optimization; Media platforms", "domainList" : [ "paid-data", "owned-data", "campaign-management", "performance-optimization", "media-platforms" ], "domainSpecificKnowledge" : [ "Paid data", "Owned data", "Campaign management", "Performance optimization", "Media platforms" ], "communicationSkills" : "Advanced verbal; Advanced written", "problemSolvingSkills" : "Proactive problem-solving", "remoteFriendly" : false, "rawDescription" : "Position Summary The Manager, Data Management comfort with diverse dataset types (paid, owned, etc.) Familiarity with campaign management and performance optimization processes Strong attention to detail and ability to identify and resolve data anomalies Advanced verbal, written, organizational, and project management skills; comfortable juggling multiple priorities Excellent collaboration and interpersonal skills with a proactive approach to problem-solving Experience in process automation/continuous improvement initiatives TOOLS Business Intelligence: Advanced Excel (required), Tableau, PowerBI, Datorama, Looker/Looker Studio, Domo, PowerPoint Data Management & Transformation: ETL Tools (Adverity, Datorama), Alteryx, SQL (preferred), Python (nice to have) Data Storage/Cloud: AWS (Redshift, S3), Starburst.io, Datorama, Snowflake, Domo Media Platforms: DCM, DV360, Google Ads, DoubleVerify, IAS, TradeDesk, Facebook, Instagram, Snapchat, Twitter, TikTok, Prisma Project Management: HIVE, Asana, Smartsheet, Microsoft Teams Media Planning: MediaTools, Lumina, Hudson (bonus) Wage and Benefits We offer a Total Rewards package that includes medical and dental coverage, 401(k) plans, flex spending, life insurance, disability, employee discount program, employee stock purchase program and paid family benefits to support you and your family. . The salary range for this position is posted below. Where an employee or prospective employee is paid within this range will depend on, among other factors, actual ranges for current/former employees in the subject position, market considerations, budgetary considerations, tenure and standing with the Company (applicable to current employees), as well as the employee’s/applicant’s skill set, level of experience, and qualifications. Employment Transparency It is our policy to provide equal employment opportunities to all employees and applicants for employment without regard to race, color, ethnicity, gender, age, religion, creed, national origin, sexual orientation, gender identity, marital status, citizenship, genetic information, veteran status, disability, or any other basis prohibited by applicable federal, state, or local law. Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice. The employer will make reasonable accommodations in compliance with the American with Disabilities Act of 1990. The job description will be reviewed periodically as duties and responsibilities change with business necessity. Essential and other job functions are subject to modification. Reasonable accommodations may be provided to enable individuals with disabilities to perform the essential functions. For applicants to jobs in the United States: In compliance with the current Americans with Disabilities Act and state and local laws, if you have a disability and would like to request an accommodation to apply for a position with Mediabrands, please email accommodation@mbww.com. Salary Range $90,000—$105,000 USD", "summaryDescription" : "Manager, Data Management & Visualization at Omnicom Media", "postedDate" : "2026-06-14T03:58:39.594", "createdAt" : "2026-06-14T03:58:39.594", "lastUpdated" : "2026-06-15T05:20:25.576", "ingestTimestamp" : "2026-06-14T03:58:39.594", "mongoId" : "6a2c96bd74d8ee00a09905fe", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 90000, "salaryAnnualMax" : 105000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Advanced verbal", "Advanced written", "Organizational", "Project management", "Interpersonal", "Proactive problem-solving", "HIVE", "Asana", "Smartsheet", "Microsoft Teams", "Paid data", "Owned data", "Campaign management", "Performance optimization", "Media platforms" ], "skillCount" : 15, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Media", "llmIndustryConfidence" : 0.95 }, { "id" : "6a16291b58b93c861e959ec8", "title" : "Data Center Project Manager", "company" : "HDR", "salary" : { "min" : 115000.0, "max" : 155000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-seniority Data Center Project Manager in Columbus, United States, adjusted for industry and company size." }, "location" : "Multiple Locations", "locations" : [ "Multiple Locations" ], "timestamp" : "2026-06-15T09:02:32.438", "fingerprint" : "befe045fd38bfdfa856a9b23178a98f25eece7ad22ec8e5a8f6eb5f7a4b537ad", "source" : "taleo", "language" : "en", "applyUrl" : "https://hdr.taleo.net/careersection/ex/jobdetail.ftl?job=782097", "externalId" : "782097", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Columbus", "state" : "Ohio", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "39.9622601,-83.0007065" } ], "locationText" : "Columbus, Ohio, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 7, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "professionalSkills" : [ "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Operational metrics", "Resource planning", "Continuous improvement" ], "majorSkills" : "Process management, Cross-functional coordination, Vendor management, Stakeholder management", "majorSkillsList" : [ "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management" ], "coreResponsibilities" : "Manage processes, Coordinate cross-functionally, Manage vendors, Manage stakeholders, Track operational metrics, Plan resources, Drive continuous improvement", "teamCollaboration" : "Interact with design teams; Employee-owned culture", "projectManagementSkills" : [ "Project management" ], "communicationSkills" : "Written communication; Verbal communication", "qualificationsBasic" : "Bachelor's degree in related field, 7 years related experience, 2 years project management experience, Ability to interact with design teams, Excellent organizational skills, Excellent project management skills, Excellent communication skills, Commitment to employee-owned culture", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Required Qualifications Bachelor's degree in related field 7 years related experience A minimum of 2 years project management experience Must have the ability to interact with various design teams, have excellent organizational, project management and communication (both written and verbal) skills 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-Ohio-Columbus", "summaryDescription" : "Data Center Project Manager at HDR. Skills: Process management, Cross-functional coordination, Vendor management, Stakeholder management. Manage processes. Coordinate cross-functionally", "createdAt" : "2026-06-14T06:57:43.597", "lastUpdated" : "2026-06-15T09:02:32.438", "ingestTimestamp" : "2026-06-14T06:57:43.597", "mongoId" : "6a16291b58b93c861e959ec8", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 115000, "salaryAnnualMax" : 155000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Operational metrics", "Resource planning", "Continuous improvement", "Project management" ], "skillCount" : 8, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustryConfidence" : 0.85 }, { "id" : "6a2c6b7374d8ee00a0912884", "title" : "Data Center Project Analyst", "company" : "Align Communications", "industry" : "Consulting", "salary" : { "min" : 55000.0, "max" : 75000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimated salary is based on the market baseline for an Entry-level Data Center Project Analyst in Phoenix, Arizona, with adjustments for the technology industry and company size." }, "location" : "Phoenix, Arizona", "locations" : [ "Phoenix", "Arizona" ], "timestamp" : "2026-06-15T06:52:22.503", "fingerprint" : "85e57553805d29588c1d086d9ad0312a6c61ce2d4b8c817cb0e8b88b6f47bb83", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/align46/jobs/5162108007", "externalId" : "5162108007", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Phoenix", "state" : "Arizona", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.4484367,-112.0741410" } ], "locationText" : "Phoenix, Arizona, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "Excel, Bluebeam, Procore", "professionalSkills" : [ "Project execution", "Documentation", "Coordination" ], "hardSkillsList" : [ "HVAC", "Power distribution", "Structured cabling", "Space planning" ], "hardSkills" : [ { "name" : "HVAC", "level" : "intermediate" }, { "name" : "Power distribution", "level" : "intermediate" }, { "name" : "Structured cabling", "level" : "intermediate" }, { "name" : "Space planning", "level" : "intermediate" } ], "majorSkills" : "Data center design, Data center installation, Project management", "majorSkillsList" : [ "Data center design", "Data center installation", "Project management" ], "coreResponsibilities" : "Support data center projects, Perform site surveys, Create documentation, Schedule vendors, Coordinate vendors, Coordinate deliverables, Assist with project planning, Assist with RFPs, Collect project estimates, Collect project quotes, Participate in design efforts, Participate in installation efforts, Create drawings, Create visuals, Coordinate on-site installations, Troubleshoot issues during buildouts, Support data center assessments, Support client deliverables", "teamCollaboration" : "Senior team members", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "Data centers; Critical facilities; IT infrastructure; Construction project management; Power distribution; Low voltage cabling; White space layouts", "domainList" : [ "data-centers", "critical-facilities", "it-infrastructure", "construction-project-management", "power-distribution", "low-voltage-cabling", "white-space-layouts" ], "domainSpecificKnowledge" : [ "Data centers", "Critical facilities", "IT infrastructure", "Construction project management", "Power distribution", "Low voltage cabling", "White space layouts" ], "toolProficiency" : [ "Excel", "Bluebeam", "Procore" ], "communicationSkills" : "Organization; Attention to detail", "documentationSkills" : "Documentation; Drawings; Visuals; Cabinet elevations; Floor plans; Network diagrams", "continuousLearning" : "Training in leading technologies; Acquire valuable new skills", "problemSolvingSkills" : "Troubleshoot issues", "specialRequirements" : "50% travel required", "qualificationsBasic" : "Bachelor's degree in Construction Management, 1-2 years of relevant experience", "qualificationsPreferred" : "Exposure to MEP, Construction experience preferred, Infrastructure environments preferred, Internships/co-ops a plus", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Join the Team! Is technology your passion? Do you want to work with smart, forward-thinking individuals? Do you want to grow in a career you love? At Align, our professionals are the key to our success. We don’t just hire talent, we invest in exceptional people who are forward-thinking, results-driven, and passionate about what they do. We’re a group of tech-savvy professionals who are motivated by making an impact. Our culture is one of unbounded opportunity that celebrates the passions, skills and ideas of our team—work hard, play hard, be smart! We believe great communities lead to great companies. That’s why we offer a dynamic workplace where you feel inspired, engaged and innovative. We offer professionals opportunities to train in the leading technologies, make an impact within the industry and acquire valuable new skills whether on client sites or in one of our regional offices. Position Overview  Align is seeking an Entry Level Data Center Project Analyst to support our Data Center Solutions team, reporting to a Program Manager. This role focuses on the design and installation of the physical layer of data centers, including HVAC, power distribution, structured cabling, and space planning. The Project Analyst will support project execution, documentation, and coordination efforts while gaining hands-on experience across data center builds. This is an excellent opportunity to develop technical, consulting, and project management skills under the guidance of senior team members. This is a full-time salaried position offering competitive compensation, comprehensive benefits, paid time off, and paid training.  The Data Center Project Analyst will be based in Phoenix, AZ, with approximately 50% travel required both locally and across the United States. Responsibilities Support data center projects through site surveys, documentation, scheduling, and coordination of vendors and deliverables Assist with project planning, RFPs, and collecting project estimates/quotes Participate in data center design and installation efforts (power distribution, low voltage cabling, white space layouts) Create drawings and visuals including cabinet elevations, floor plans, and network diagrams Help coordinate on-site installations and troubleshoot issues during buildouts Support ongoing data center assessments and client deliverables Utilize tools such as Excel, Bluebeam, and Procore Qualifications Bachelor’s degree in Construction Management, Engineering, or related field, or 1-2 years of relevant experience Interest in data centers, critical facilities, IT infrastructure, or construction project management Exposure to MEP, construction, or infrastructure environments preferred (internships/co-ops a plus) Strong communication, organization, and attention to detail Ability to manage multiple priorities in a fast-paced environment To support a fair, consistent, and high-quality hiring experience, some interviews may be recorded. These recordings help our team focus fully on the conversation at hand, rather than note-taking, and allow us to better evaluate and improve our recruitment process. Recordings are used solely for internal purposes such as training, quality assurance, and process improvement. Candidates will be informed in advance and asked to provide consent before any recording takes place.  Tier - 1 Align is a premier global provider of technology infrastructure solutions. Align specializes in designing and deploying technology infrastructure solutions from the data center to the desktop as well as providing managed IT services for clients. Our professional services team, which includes Data Center Solutions, provide strategic consulting, design, project management, engineering, implementation and support. Our best-in-class Managed Services team provides IT services and cybersecurity advisory for clients within the Alternative Investment industry. Align is a Microsoft Tier 1 Cloud Solutions Provider (CSP) and Gold Partner. Our client centric approach and passion for driving IT innovation has enabled us to provide tailored solutions and business transformations for over three decades. Leading firms have relied on Align to provide forward-thinking technology strategies that support their current and future business needs. Our teams have flawless track records of delivering technical solutions and have established long-standing relationships with an impressive client list of both Global 1000 and SMB clients. We work across a diverse list of industries including financial services, life sciences (pharmaceutical and health care), retail, technology, media and telecommunications. For more information, visit: www.align.com", "summaryDescription" : "Data Center Project Analyst at Align Communications. Skills: Data center design, Data center installation, Project management. Support data center projects. Perform site surveys", "postedDate" : "2026-06-14T02:51:38.767", "createdAt" : "2026-06-14T02:51:38.767", "lastUpdated" : "2026-06-15T06:52:22.503", "ingestTimestamp" : "2026-06-14T02:51:38.767", "mongoId" : "6a2c6b7374d8ee00a0912884", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 55000, "salaryAnnualMax" : 75000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "HVAC", "Power distribution", "Structured cabling", "Space planning", "Data center design", "Data center installation", "Project management", "Project execution", "Documentation", "Coordination", "Data centers", "Critical facilities", "IT infrastructure", "Construction project management", "Low voltage cabling", "White space layouts", "Excel", "Bluebeam", "Procore" ], "skillCount" : 19, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c8d9f74d8ee00a097978d", "title" : "Manager/Senior Manager, Data Management", "company" : "Xenon Pharmaceuticals", "industry" : "Clinical Development", "salary" : { "min" : 127600.0, "max" : 161400.0, "currency" : "CAD", "frequency" : "Yearly" }, "location" : "Vancouver", "locations" : [ "Vancouver" ], "timestamp" : "2026-06-16T01:26:36.163", "fingerprint" : "6aced696a3175fac15d10767552f2fde075e243d37460e25e6632354df4c7b98", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/xenon/42b0faf3-4757-40ba-baa8-c1a6908a440c/application", "externalId" : "42b0faf3-4757-40ba-baa8-c1a6908a440c", "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", "experienceLevel" : "Manager", "technicalSkills" : "CDISC", "professionalSkills" : [ "Data management", "Vendor selection", "Protocol review", "Database validation", "Data review", "Vendor management", "CRO management" ], "hardSkillsList" : [ "Database cleaning", "Patient level listings" ], "softSkillsList" : [ "Leadership", "Conflict resolution" ], "hardSkills" : [ { "name" : "Database cleaning", "level" : "intermediate" }, { "name" : "Patient level listings", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Conflict resolution" } ], "majorSkills" : "Data Management, Clinical Trials, Regulatory Requirements", "majorSkillsList" : [ "Data Management", "Clinical Trials", "Regulatory Requirements" ], "coreResponsibilities" : "Lead data management activities, Manage data management activities, Design clinical trial databases, Develop CRFs, Validate databases, Develop Data Review tools, Oversee external data management vendors, Optimize data management activities, Optimize data collection activities, Review protocols for cross-trial consistency, Identify standard case report form modules, Support creation of SDTM datasets, Maintain current knowledge of data management issues, Maintain knowledge of Health Authority regulations, Maintain knowledge of competitive trends, Provide input and recommendations, Propose Standard Operating Procedures, Draft Standard Operating Procedures, Maintain Standard Operating Procedures, Participate in systems selection, Participate in systems implementation, Act in accordance with Company policies", "teamCollaboration" : "Clinical Development team; Internal cross-functional colleagues; External stakeholders", "domainKnowledge" : "Clinical trial process; ICH/GCP guidelines; Regulatory requirements; CDISC; Safety laboratory data management; Adverse events; Medications; CNS; Pediatric rare disease; e-diary database; Human genetics; Ion channel biology; Neuroscience; Potassium channel modulator; Focal onset seizures; Major depressive disorder; Bipolar depression; Nav1.7; Kv7", "domainList" : [ "clinical-trial-process", "ich-gcp-guidelines", "regulatory-requirements", "cdisc", "safety-laboratory-data-management", "adverse-events", "medications", "cns", "pediatric-rare-disease", "e-diary-database", "human-genetics", "ion-channel-biology", "neuroscience", "potassium-channel-modulator", "focal-onset-seizures", "major-depressive-disorder", "bipolar-depression", "nav1-7", "kv7" ], "domainSpecificKnowledge" : [ "Clinical trial process", "ICH/GCP guidelines", "Regulatory requirements", "CDISC", "Safety laboratory data management", "Adverse events", "Medications", "CNS", "Pediatric rare disease", "e-diary database", "Human genetics", "Ion channel biology", "Neuroscience", "Potassium channel modulator", "Focal onset seizures", "Major depressive disorder", "Bipolar depression", "Nav1.7", "Kv7" ], "toolProficiency" : [ "EDC databases" ], "documentationSkills" : "CRF Development", "continuousLearning" : "Training, Learning & Development program; Tuition Assistance program", "specialRequirements" : "Minimum two onsite days per week, International travel may be required, Ability to travel up to 10%", "qualificationsBasic" : "Bachelor’s degree in a scientific, medical, computer science or related, 5 years’ management level experience, Experience in data management-related activities, Thorough understanding of the clinical trial process, Understanding of regulatory requirements, Understanding of CDISC, Experience in design and validating EDC databases, Performing data cleaning, Familiar with safety laboratory data management, Familiar with dictionary coding for adverse events and medications", "qualificationsPreferred" : "Master’s degree preferred, Experience in CNS, Experience in pediatric rare disease area, E-diary database design and implementation, Experience in CRO management", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Who We Are: Xenon Pharmaceuticals (NASDAQ:XENE https://www.nasdaq.com/market-activity/stocks/xene) is a neuroscience-focused biopharmaceutical company dedicated to drug discovery, clinical development, and commercialization of life-changing therapeutics for patients in need. We are looking for great people who thrive in a respectful, collaborative, inclusive, and productive culture to join the Xenon team. What We Do: We are advancing an exciting product pipeline https://xenon-pharma.com/pipeline to address indications with high unmet medical need, including epilepsy, depression and pain. Our Phase 3 azetukalner program represents the most advanced, clinically validated potassium channel modulator in late-stage clinical development for multiple indications. In March 2026, we announced positive topline data from our Phase 3 X-TOLE2 study of azetukalner in focal onset seizures (FOS), and we anticipate submitting a New Drug Application to the Food and Drug Administration in the third quarter of 2026. Our Phase 3 epilepsy program also includes a second FOS study, X-TOLE3, which would support regulatory submissions outside the U.S., and the X-ACKT study in primary generalized tonic-clonic seizures, which would support regulatory submissions for an additional epilepsy indication. We also have multiple Phase 3 azetukalner clinical trials underway in major depressive disorder (MDD) and bipolar depression (BPD), based on topline data from our Phase 2 X-NOVA clinical trial. In addition, we are proud of our strong heritage in human genetics, deep understanding of ion channel biology, and expertise in novel chemistries to enable potent, selective ion channel targeting. We continue to advance an early-stage pipeline of novel therapeutic candidates, including Phase 1 studies for XEN1701 (targeting Nav1.7) and XEN1120 (targeting Kv7), which are important pain targets. Backed by a strong balance sheet to support our growth plans, we continue to build a fully integrated, premier neuroscience company with strong discovery, clinical development, corporate, and commercial operations. About the Role: We are seeking a Manager/Senior Manager, Data Management to join our team. The Manager/Senior Manager will lead and manage data management activities for assigned products, product candidates and/or clinical trials in all phases of clinical development (Phases 1-4). The Manager/Senior Manager will be a key member of a highly collaborative Clinical Development team. The Manager/Senior Manager will thrive in a fast paced, multi-location environment and interact with internal cross-functional colleagues, as well as external stakeholders, including, but not limited to CROs. This position reports to the Director, Data Management and is based out of Xenon’s Vancouver, BC office. Vancouver based positions require a minimum of two onsite days per week. We will consider other jurisdictions for exceptional candidates. The level of the position may be commensurate with the candidate’s education and industry experience. RESPONSIBILITIES: - In collaboration with Clinical Sciences, Biostatistics, Clinical Operations, and other key Development functions, responsible for the design of clinical trial databases, which includes, but not limited to, CRF Development, Database Validation, and Data Review tools in accordance with ICH/GCP guidelines and current regulatory requirements. - Oversee external data management vendors in respect to key performance indicators, metrics, program level deliverables, timelines, and budgets; may participate in vendor selection activities. - Optimize data management and collection activities by reviewing protocols for cross-trial consistency and identifying standard case report form modules. - May support the creation of SDTM datasets, which may include oversight of external vendors. - Maintain current knowledge of relevant issues related to data management, Health Authority regulations, and competitive trends to provide input and recommendations. - May propose, draft, and maintain relevant Standard Operating Procedures and other policies and procedures relevant to the department; may participate in systems selection and implementation activities. - International travel may be required. - Act in accordance with Company policies, including, for example, the Code of Business Conduct and Ethics. - Other duties as assigned. QUALIFICATIONS: - Bachelor’s degree in a scientific, medical, computer science or related field; Master’s degree preferred. - A minimum of 5 years’ management level experience in a pharma or biotech environment. Job level commensurate with years of experience. - Strong experience in data management-related activities, with thorough understanding of the clinical trial process and regulatory requirements, including CDISC. - Strong experience in design and validating EDC databases and performing data review; familiar with safety laboratory data management and dictionary coding for adverse events and medications. - Experience in CNS, pediatric rare disease area and e-diary database design and implementation are preferred. - Experience in CRO management. - Ability to be hands-on with database cleaning, generate patient level listings as needed. - Excellent leadership and interpersonal skills, ability to build credibility and trust inside and outside the Company. - Proven ability to collaborate in high performing teams, excellent conflict resolution skills. - Be science and data driven while at the same time, be creative and flexible in strategic thinking and problem solving. - Ability to travel up to 10%, both domestically and internationally. Our Total Rewards program includes base salary, target bonus, and stock options, as well as a full range of benefits including medical, dental, vision, short-& long-term disability, accidental death & dismemberment, and life insurance programs, Employee Assistance Program, travel insurance, and retirement savings programs with company matching contributions. Xenon encourages time to rest and re-charge through vacation, personal days, sick days, and an end-of-year company shutdown. Xenon highly values employee development and has an expanding Training, Learning & Development program, including a Tuition Assistance program for advanced degrees.", "summaryDescription" : "Manager/Senior Manager, Data Management at Xenon Pharmaceuticals. Skills: Data Management, Clinical Trials, Regulatory Requirements. Lead data management activities. Manage data management activities", "createdAt" : "2026-06-14T20:16:24.447", "lastUpdated" : "2026-06-16T01:26:36.163", "ingestTimestamp" : "2026-06-14T20:16:24.447", "mongoId" : "6a2c8d9f74d8ee00a097978d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Database cleaning", "Patient level listings", "Leadership", "Conflict resolution", "Data Management", "Clinical Trials", "Regulatory Requirements", "Data management", "Vendor selection", "Protocol review", "Database validation", "Data review", "Vendor management", "CRO management", "Clinical trial process", "ICH/GCP guidelines", "Regulatory requirements", "CDISC", "Safety laboratory data management", "Adverse events", "Medications", "CNS", "Pediatric rare disease", "e-diary database", "Human genetics", "Ion channel biology", "Neuroscience", "Potassium channel modulator", "Focal onset seizures", "Major depressive disorder", "Bipolar depression", "Nav1.7", "Kv7", "EDC databases" ], "skillCount" : 34, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.98 }, { "id" : "6a210e7b74d8ee00a0af7c81", "title" : "Senior Research Data Scientist, AI Developer Tools", "industry" : "Technology", "salary" : { "min" : 175000.0, "max" : 250000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Research Data Scientist, AI Developer Tools in Sunnyvale, United States, adjusted for seniority and the technology industry." }, "location" : "[Sunnyvale, CA, USA, [111 W Java Dr, Sunnyvale, CA 94089, USA], Sunnyvale, 94089, CA, US]", "locations" : [ "[Sunnyvale, CA, USA, [111 W Java Dr, Sunnyvale, CA 94089, USA], Sunnyvale, 94089, CA, US]" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T11:33:39.386", "fingerprint" : "5fe80a94fcda40792ad90972ce70aaa8e4d152b1883b1b84e8c9f5d6b2e0a55c", "source" : "google", "language" : "en", "externalId" : "87709111948321478", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sunnyvale", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3688301,-122.0363490" } ], "locationText" : "Sunnyvale, California, United States", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, S3, Glue, SageMaker, Athena, GCP, Vertex AI, Azure, Synapse, ML Studio", "hardSkillsList" : [ "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Regression", "Classification", "Clustering", "Time-series", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Statistical methods", "level" : "intermediate" }, { "name" : "ML frameworks", "level" : "intermediate" }, { "name" : "BI platforms", "level" : "intermediate" }, { "name" : "Cloud data stacks", "level" : "intermediate" }, { "name" : "Modelling skills", "level" : "intermediate" }, { "name" : "Regression", "level" : "intermediate" }, { "name" : "Classification", "level" : "intermediate" }, { "name" : "Clustering", "level" : "intermediate" }, { "name" : "Time-series", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Data science, Data engineering, ML/AI, Business intelligence, Analytics engineering, Quantitative analysis", "majorSkillsList" : [ "Data science", "Data engineering", "ML/AI", "Business intelligence", "Analytics engineering", "Quantitative analysis" ], "toolProficiency" : [ "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy" ], "qualificationsBasic" : "SQL proficiency, 5+ years of experience", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified, Dbt Certified", "remoteFriendly" : false, "summaryDescription" : "Senior Research Data Scientist, AI Developer Tools. Skills: Data science, Data engineering, ML/AI, Business intelligence, Analytics engineering, Quantitative analysis", "postedDate" : "2026-06-16T01:51:20.336", "createdAt" : "2026-06-16T01:51:20.336", "lastUpdated" : "2026-06-16T11:33:39.386", "ingestTimestamp" : "2026-06-16T01:51:20.336", "mongoId" : "6a210e7b74d8ee00a0af7c81", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 175000, "salaryAnnualMax" : 250000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Regression", "Classification", "Clustering", "Time-series", "A/B testing", "Causal inference", "Data science", "Data engineering", "ML/AI", "Business intelligence", "Analytics engineering", "Quantitative analysis", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy" ], "skillCount" : 28, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.6666667, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a307653f292fd229c01868b", "title" : "Data Reporter, Senior Data Reporter", "company" : "Financial Times", "industry" : "Media", "salary" : { "min" : 145000.0, "max" : 210000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Data Reporter in New York, United States, with adjustments for the media industry and company size." }, "location" : "New York", "locations" : [ "New York" ], "timestamp" : "2026-06-16T11:05:22.596", "fingerprint" : "841d880dee9c0cb749a04eed70320c7034a93595b270ca6b0d46acd3cd552bdc", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/financialtimes33/jobs/4895510101", "externalId" : "4895510101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, R, Excel, APIs, Databases, Web scraping, HTML, CSS, JavaScript, D3", "professionalSkills" : [ "Data acquisition", "Data cleaning", "Data analysis", "Reporting", "Storytelling", "Visualisation", "Interactive content", "Journalistic techniques", "Analytical projects", "Investigative projects", "Business reporting", "Analytical storytelling" ], "hardSkillsList" : [ "Quantitative analysis", "Data interpretation", "Data visualisation", "Journalistic integrity" ], "hardSkills" : [ { "name" : "Quantitative analysis", "level" : "intermediate" }, { "name" : "Data interpretation", "level" : "intermediate" }, { "name" : "Data visualisation", "level" : "intermediate" }, { "name" : "Journalistic integrity", "level" : "intermediate" } ], "majorSkills" : "Data journalism, Data analysis, Visual storytelling, Data visualisation", "majorSkillsList" : [ "Data journalism", "Data analysis", "Visual storytelling", "Data visualisation" ], "coreResponsibilities" : "Develop original, data-driven stories, Source datasets, Collect datasets, Clean datasets, Analyse datasets, Build compelling charts, Build graphics, Build interactive visualisations, Identify trends within datasets, Identify anomalies within datasets, Identify opportunities within datasets, Run analytical projects, Complete analytical projects, Complete shorter-term assignments, Collaborate with reporters, Collaborate with editors, Collaborate with visual journalists, Support colleagues, Use public records, Use databases, Use APIs, Use web scraping techniques, Use proprietary datasets, Ensure reporting meets highest standards, Ensure analysis meets highest standards, Contribute to development of data journalism capabilities", "teamCollaboration" : "Cross-functional teams; Reporters and editors; Data visualisation team", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "Institutional investing; Wealth management; Financial advisory industry", "domainList" : [ "institutional-investing", "wealth-management", "financial-advisory-industry" ], "domainSpecificKnowledge" : [ "Institutional investing", "Wealth management", "Financial advisory industry" ], "toolProficiency" : [ "Flourish", "Adobe Illustrator" ], "communicationSkills" : "Translate quantitative findings", "problemSolvingSkills" : "Data analysis", "outcomesObjectives" : "Produce exclusive, data-driven reporting; Produce visual storytelling; Create engaging visualisations; Create interactive content; Deliver insights readers cannot find elsewhere; Enhance storytelling; Enhance audience engagement; Uncover new reporting opportunities", "qualificationsBasic" : "Demonstrated experience producing data-driven journalism, Interest in data journalism, Interest in visual storytelling, Interest in financial or business news, Proven track record to identify, analyse and communicate compelling stories through data, Experience using Python or R for data acquisition, cleaning, analysis and reporting, Proficiency with Excel, Experience working with APIs, Experience working with databases, Experience working with web scraping techniques, Knowledge of data visualisation standard processes, Exceptional attention to detail, Commitment to accuracy, Ability to translate complex quantitative findings into clear and engaging journalism for non-technical audiences, Communication skills, Collaboration skills, Project management skills, Experience working successfully within cross-functional teams, Experience working in time-sensitive environments", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About Us The Financial Times is one of the world’s leading news organisations, globally recognised for its authority, integrity and accuracy, with a mission to deliver quality information and services worldwide. At the FT, curiosity thrives and ambitious thinking is rewarded. Here, you’re given the chance to reach millions, create work that matters and deliver impartial journalism in a polarised world. In our warm, collaborative culture, you’ll connect with a diverse community of experts who support your growth, career aspirations and wellbeing. Your future at the FT will be filled with opportunities that challenge and inspire you. With no fixed path, you’ll discover new skills and forge a career that can take you anywhere. Build a newsworthy career at the FT. Our Commitment to Equity in the Workplace We believe in the power of unique perspectives and want all voices in our organisation to be heard, respected and valued. A supportive workplace is one where employees feel they can be themselves and operate to their full potential. We are committed to removing barriers for everyone, with a focus on addressing those faced by underrepresented groups. The Role / Position Overview FT Specialist is seeking a Data Reporter / Senior Data Reporter to join our growing data journalism team, producing exclusive, data-driven reporting and visual storytelling for FundFire and Financial Advisor IQ. This role sits at the intersection of journalism, data analysis and visual design. You will be responsible for sourcing, cleaning, analysing and interpreting complex datasets to uncover original stories covering institutional investments, wealth management and the financial advisory industry. You will also create engaging visualisations and interactive content that help our journalism stand out and deliver insights readers cannot find elsewhere. Working as part of a six-person data visualisation team, you will collaborate closely with reporters and editors across both publications while reporting to the Managing Editor of Data Visualization. The successful candidate will be equally comfortable developing ambitious long-term investigative and analytical projects as well as delivering shorter-turnaround stories that respond to emerging industry trends and news events. We are looking for a curious, collaborative and entrepreneurial journalist who is passionate about using data to reveal meaningful stories and who is committed to continually developing their skills in a fast-evolving newsroom environment. Key Responsibilities Develop original, data-driven stories covering institutional investing, wealth management and financial advisory businesses. Source, collect, clean and analyse structured and unstructured datasets using a range of journalistic and analytical techniques. Build compelling charts, graphics and interactive visualisations that enhance storytelling and audience engagement. Identify trends, anomalies and opportunities within datasets that lead to exclusive reporting. Run and complete both long-term analytical projects and shorter-term assignments driven by current events . Collaborate with reporters, editors and visual journalists across FundFire and Financial Advisor IQ. Support colleagues in applying data journalism procedures and interpreting quantitative information accurately. Use public records, databases, APIs, web scraping techniques and proprietary datasets to uncover new reporting opportunities. Ensure all reporting and analysis meets the highest standards of accuracy, transparency and journalistic integrity. Contribute to the ongoing development of data journalism capabilities across FT Specialist. Required Skills / Experience Demonstrated experience producing data-driven journalism, business reporting or analytical storytelling in a newsroom or comparable environment. Strong interest in data journalism, visual storytelling and financial or business news. Proven track record to identify, analyse and communicate compelling stories through data. Experience using Python or R for data acquisition, cleaning, analysis and reporting. Strong proficiency with Excel and other data analysis tools. Experience working with APIs, databases and web scraping techniques. Knowledge of data visualisation standard processes and experience using tools such as Flourish, Adobe Illustrator, HTML, CSS, JavaScript, D3 or comparable front-end technologies. Exceptional attention to detail and commitment to accuracy. Ability to translate complex quantitative findings into clear and engaging journalism for non-technical audiences. Strong communication, collaboration and project management skills. Experience working successfully within cross-functional teams and time-sensitive environments. What’s in it for You? Our Benefits Our benefits vary by location but we are committed to providing best-in-class perks across all our offices. These include generous annual leave, medical cover, inclusive parental leave packages, subsidised gym memberships and opportunities to give back to the community. Full details of our benefits are available here: https://aboutus.ft.com/careers/benefits. We’ve embraced a 50% hybrid working model (averaging two to three days onsite) that fosters trust and remote adaptability while encouraging in-person camaraderie and peer learning. Additionally, we are open to accommodating specific flexible working pattern requests for all roles where feasible. Accessibility We are committed to creating an inclusive and accessible recruitment process. Please let us know if you require any reasonable adjustments or accommodations during the application process or interview stage. If you would like to discuss your requirements, please contact talent@ft.com and a member of our team will be happy to help. Further Information A reasonable estimate of the salary range for this role is $75,000-$95,000. The upper end of the scale reflects pay of someone who comes in at the senior reporter level, with confirmed experience and strong work to show. Earlier career candidates will be considered for reporter-level roles. To ensure pay fairness, the successful candidate will be offered a salary within the estimated salary range based on a number of considerations including but not limited to: skills; experience and training; certifications; and other business and organisational needs. The disclosed range estimate is for our NYC office and has not been adjusted for other locations. This role is part of the FT Specialist US Guild and covered under a collective bargaining agreement with the Writers’ Guild of America East. At the FT, we embrace innovation and the use of technology and appreciate that individuals may use AI tools as part of their job application process. Whilst we are happy for you to use AI to assist with your application, it is crucial that all information provided is authentic and accurately represents your skills, experience, and qualifications. Candidates should be aware that the use of AI throughout the application process may be monitored to ensure a fair and transparent hiring process for all. Please beware of fraudulent job postings and offers claiming to be from the Financial Times. All legitimate opportunities will direct you to apply through the official Financial Times careers site, and the FT will never ask for financial information, payments, or referrals to third parties during the hiring process. If you have any concerns about the legitimacy of a job posting or suspect any scam activity, please contact talent@ft.com. Interested in the FT but don’t see the right role yet? Join our Talent Community to receive exclusive updates, featured jobs, and insights into working at the FT.", "summaryDescription" : "Data Reporter, Senior Data Reporter at Financial Times. Skills: Data journalism, Data analysis, Visual storytelling, Data visualisation. Develop original, data-driven stories. Source datasets", "postedDate" : "2026-06-16T01:20:06.423", "createdAt" : "2026-06-16T01:20:06.423", "lastUpdated" : "2026-06-16T11:05:22.596", "ingestTimestamp" : "2026-06-16T01:20:06.423", "mongoId" : "6a307653f292fd229c01868b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 145000, "salaryAnnualMax" : 210000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Quantitative analysis", "Data interpretation", "Data visualisation", "Journalistic integrity", "Data journalism", "Data analysis", "Visual storytelling", "Data acquisition", "Data cleaning", "Reporting", "Storytelling", "Visualisation", "Interactive content", "Journalistic techniques", "Analytical projects", "Investigative projects", "Business reporting", "Analytical storytelling", "Project management", "Institutional investing", "Wealth management", "Financial advisory industry", "Flourish", "Adobe Illustrator" ], "skillCount" : 24, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Media", "llmIndustryConfidence" : 0.98 }, { "id" : "6a306592f292fd229cfa9676", "title" : "Project Development Project Manager", "company" : "CARIAN", "industry" : "PMO", "salary" : { "min" : 110000.0, "max" : 150000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Project Development Project Manager in Reading, United States, adjusted for mid-seniority and full-time employment in the Energy industry." }, "location" : "Reading, PA", "locations" : [ "Reading, PA" ], "timestamp" : "2026-06-16T12:17:07.381", "fingerprint" : "d6d439706d6506e4a6359190b70c9f6d2f215c4d11ddce1e1863539e7ff0d34e", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/carian/b153e829-b481-4ed3-a8ed-d66c8778080f/application", "externalId" : "b153e829-b481-4ed3-a8ed-d66c8778080f", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Reading", "state" : "Pennsylvania", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.3353450,-75.9279495" } ], "locationText" : "Reading, Pennsylvania, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 4, "experienceMaxYears" : 8, "experienceLevel" : "Mid", "remoteFriendly" : false, "rawDescription" : "Project Development Project Manager I Location: Reading, PA (Onsite / Client Site) Job Type: Full-Time About Us CARIAN is a leading, woman-owned, purpose-driven consulting and advisory firm dedicated exclusively to the power sector. We partner with electric and gas utilities to provide strategic advisory and disciplined execution across program management, business intelligence, and field execution oversight. Guided by integrity, trust, excellence, and accountability, our team helps deliver complex capital programs and build the resilient energy infrastructure that communities depend on. Position Overview CARIAN is seeking a Project Development Project Manager to support early-stage development of large-scale transmission and substation capital projects for a major utility client in New Jersey. This role leads projects from concept through the development phase, coordinating cross-functional technical teams and preparing projects for handoff to execution once projects reach approximately 30% design maturity. Key Responsibilities - Lead project kick-offs and establish cross-functional teams to evaluate, refine, and define project scope - Manage projects from conceptual planning through the development phase, supporting handoff to execution teams at approximately 30% of the project lifecycle - Lead multiple concurrent overhead transmission and substation projects ranging from 34.5kV to 500kV - Coordinate with technical teams to identify project interdependencies and establish overall construction sequencing strategies - Maintain detailed project financials in coordination with cost analyst teams - Maintain detailed project schedules in coordination with project scheduling teams - Implement standardized project management lifecycle processes to ensure consistent documentation and execution - Leverage technical background to effectively manage projects through early development stages - Serve as the primary point of contact with the utility client for development-phase activities, including coordination, strategic planning, scope management, and budgeting - Provide overall management of early project phases, including siting, environmental review, permitting, planning, estimating, engineering, right-of-way acquisition, project controls, procurement support, constructability reviews, material planning, and transition to construction Qualifications - Bachelor’s degree in Engineering - Minimum of 4-8 years of experience in the transmission and distribution industry - Experience in engineering, project management, or a related technical discipline preferred - Strong organizational and planning skills - Strong written and verbal communication skills - Demonstrated ability to lead cross-functional teams and drive projects to defined deliverables - Valid driver’s license and ability to travel to client project sites Why CARIAN - Purpose-driven work – Help deliver infrastructure that powers communities - Industry reputation – Trusted by leading utilities for our reliability and results - Career growth – Opportunities to lead major programs and mentor high-performing teams - Collaborative culture – Join a team that values delivery excellence and long-term relationships - Competitive total rewards – Strong compensation, full benefits, 401(k) match, and meaningful work Equal Employment Opportunity CARIAN is proud to be an equal opportunity employer. We hire and develop talent based on qualifications, performance, and business needs. Employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. As a woman-owned firm dedicated to the power sector, we are committed to building a team that reflects professionalism, expertise, and integrity at every level. Employment is contingent upon the candidate having and maintaining valid authorization to work in the United States. The Company does not sponsor, and will not sponsor, employment-based visas or provide immigration support for this position.", "summaryDescription" : "Project Development Project Manager at CARIAN", "createdAt" : "2026-06-16T00:31:59.253", "lastUpdated" : "2026-06-16T12:17:07.381", "ingestTimestamp" : "2026-06-16T00:31:59.253", "mongoId" : "6a306592f292fd229cfa9676", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 110000, "salaryAnnualMax" : 150000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Energy", "llmIndustryConfidence" : 0.95 }, { "id" : "6a306592f292fd229cfa9677", "title" : "Project Development Project Manager", "company" : "CARIAN", "industry" : "PMO", "salary" : { "min" : 95000.0, "max" : 145000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Morristown, NJ", "locations" : [ "Morristown, NJ" ], "timestamp" : "2026-06-16T12:15:17.594", "fingerprint" : "277bcebadfb663cf79ee5c789441b1534f55dedc5af62a67e969d71e902e058b", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/carian/d5d32bc8-f2df-46f0-9453-62457cc108a5/application", "externalId" : "d5d32bc8-f2df-46f0-9453-62457cc108a5", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Morristown", "state" : "New Jersey", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7970382,-74.4809868" }, { "city" : "Reading", "state" : "Pennsylvania", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.3353450,-75.9279495" } ], "locationText" : "Morristown, New Jersey, United States; Reading, Pennsylvania, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceLevel" : "Manager", "remoteFriendly" : false, "rawDescription" : "Project Development Project Manager I Location: Morristown NJ or Reading PA (Onsite / Client Site) Job Type: Full-Time Compensation: $95,000 - $145,000 About Us CARIAN is a leading, woman-owned, purpose-driven consulting and advisory firm dedicated exclusively to the power sector. We partner with electric and gas utilities to provide strategic advisory and disciplined execution across program management, business intelligence, and field execution oversight. Guided by integrity, trust, excellence, and accountability, our team helps deliver complex capital programs and build the resilient energy infrastructure that communities depend on. Position Overview CARIAN is seeking a Project Development Project Manager to support early-stage development of large-scale transmission and substation capital projects for a major utility client in New Jersey. This role leads projects from concept through the development phase, coordinating cross-functional technical teams and preparing projects for handoff to execution once projects reach approximately 30% design maturity. Key Responsibilities - Lead project kick-offs and establish cross-functional teams to evaluate, refine, and define project scope - Manage projects from conceptual planning through the development phase, supporting handoff to execution teams at approximately 30% of the project lifecycle - Lead multiple concurrent overhead transmission and substation projects ranging from 34.5kV to 500kV - Coordinate with technical teams to identify project interdependencies and establish overall construction sequencing strategies - Maintain detailed project financials in coordination with cost analyst teams - Maintain detailed project schedules in coordination with project scheduling teams - Implement standardized project management lifecycle processes to ensure consistent documentation and execution - Leverage technical background to effectively manage projects through early development stages - Serve as the primary point of contact with the utility client for development-phase activities, including coordination, strategic planning, scope management, and budgeting - Provide overall management of early project phases, including siting, environmental review, permitting, planning, estimating, engineering, right-of-way acquisition, project controls, procurement support, constructability reviews, material planning, and transition to construction Qualifications - Bachelor’s degree in Engineering - Minimum of 4-8 years of experience in the transmission and distribution industry - Experience in engineering, project management, or a related technical discipline preferred - Strong organizational and planning skills - Strong written and verbal communication skills - Demonstrated ability to lead cross-functional teams and drive projects to defined deliverables - Valid driver’s license and ability to travel to client project sites Why CARIAN - Purpose-driven work – Help deliver infrastructure that powers communities - Industry reputation – Trusted by leading utilities for our reliability and results - Career growth – Opportunities to lead major programs and mentor high-performing teams - Collaborative culture – Join a team that values delivery excellence and long-term relationships - Competitive total rewards – Strong compensation, full benefits, 401(k) match, and meaningful work Equal Employment Opportunity CARIAN is proud to be an equal opportunity employer. We hire and develop talent based on qualifications, performance, and business needs. Employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. As a woman-owned firm dedicated to the power sector, we are committed to building a team that reflects professionalism, expertise, and integrity at every level. Employment is contingent upon the candidate having and maintaining valid authorization to work in the United States. The Company does not sponsor, and will not sponsor, employment-based visas or provide immigration support for this position.", "summaryDescription" : "Project Development Project Manager at CARIAN", "createdAt" : "2026-06-16T00:31:41.653", "lastUpdated" : "2026-06-16T12:15:17.594", "ingestTimestamp" : "2026-06-16T00:31:41.653", "mongoId" : "6a306592f292fd229cfa9677", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 95000, "salaryAnnualMax" : 145000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Energy", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305f0bf292fd229cf77aa6", "title" : "People Research Data Scientist, AI Fairness & Bias", "company" : "OpenAI", "industry" : "People", "salary" : { "min" : 198000.0, "max" : 220000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "San Francisco", "locations" : [ "San Francisco", "New York City", "Seattle", "Washington, DC" ], "timestamp" : "2026-06-16T13:40:56.319", "fingerprint" : "0e5f66546fe9fe2a59f0dec5445752ba98de816b09f85313d4f8608745b82f33", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/OpenAI/cadb7c24-2aea-4b98-a793-65ae9388b5d6/application", "externalId" : "cadb7c24-2aea-4b98-a793-65ae9388b5d6", "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", "remoteFriendly" : true, "rawDescription" : "ABOUT THE TEAM OpenAI’s People team hires, engages, and retains world-class talent to safely build and deploy AGI that benefits all of humanity. The People Analytics team helps leaders make rigorous, evidence-based talent decisions and ensures that the systems supporting those decisions are valid, reliable, fair, and accountable. ABOUT THE ROLE As a People Data Scientist focused on AI fairness and bias testing, you will help establish how OpenAI evaluates AI-assisted People systems and high-impact talent processes. You will design and conduct rigorous assessments to identify, measure, and mitigate potential bias across the lifecycle of models, agents, decision-support tools, and automated workflows. Your work will span the entire employee life-cycle, such as hiring, performance, promotion, employee development, workforce planning, etc. You will evaluate both technical systems and the broader human-AI decision processes in which they operate, examining not only model performance but also data quality, measurement validity, differential outcomes, human oversight, and unintended consequences. We’re looking for an experienced data scientist or applied researcher who can translate complex fairness questions into defensible evaluation strategies, scalable testing infrastructure, and clear recommendations for technical teams and senior leaders. This role is preferred to be based in San Francisco, CA. IN THIS ROLE, YOU WILL: - Define and lead fairness and bias-testing strategies for AI-assisted People processes, models, agents, and decision-support systems from development through deployment and ongoing monitoring. - Design rigorous algorithmic audits and validation studies, including adverse-impact analysis, subgroup and intersectional evaluation, error-rate analysis, calibration, measurement invariance, reliability, criterion-related validity, and sensitivity testing. - Identify the appropriate fairness criteria for each use case, evaluate tradeoffs among competing definitions of fairness, and clearly document the assumptions, limitations, and residual risks of each approach. - Evaluate end-to-end human-AI decision systems, including model outputs, user behavior, human overrides, escalation pathways, and whether AI assistance changes the quality, consistency, or equity of decisions. - Develop evaluation approaches for generative and agentic AI, including test-set design, counterfactual testing, behavioral evaluation, human-rating studies, robustness testing, and analysis of disparate performance across populations and contexts. - Investigate the sources of observed disparities, including data representation, label and measurement bias, proxy variables, model design, decision thresholds, workflow design, and differential adoption or usage. - Partner with engineering, People Operations, Legal, Privacy, Security, and People Systems teams to recommend and evaluate mitigations such as data improvements, model changes, threshold adjustments, workflow redesign, monitoring controls, and additional human oversight. - Build scalable fairness-evaluation infrastructure, including reusable datasets, automated validation pipelines, regression tests, monitoring systems, self-service tools, and standardized reporting. - Establish research and documentation standards for fairness test plans, dataset and model documentation, validation reports, limitations, monitoring plans, and decision records. - Translate complex findings into concise, decision-ready narratives, helping leaders understand the significance of identified risks, the strength of the evidence, available mitigation options, and remaining uncertainty. YOU MIGHT THRIVE IN THIS ROLE IF YOU HAVE: - Deep expertise in algorithmic fairness, bias measurement, responsible AI, psychometrics, applied statistics, or the evaluation of high-impact decision systems. - Exceptional strength in research design, measurement, experimentation, causal inference, and statistical modeling. - Hands-on experience applying methods such as subgroup and intersectional analysis, adverse-impact testing, equalized-odds and equal-opportunity analysis, demographic-parity assessment, calibration analysis, counterfactual testing, measurement invariance, reliability analysis, and validation studies. - Strong judgment about the limitations of fairness metrics, including the ability to determine which measures are appropriate for a particular decision context rather than applying a single universal definition of fairness. - Experience evaluating machine-learning models, generative AI systems, agents, or human-AI workflows using quantitative and qualitative evidence. - High proficiency in Python or R and SQL, with experience working across complex, sensitive, and imperfect datasets. - Experience building reproducible evaluation pipelines, automated testing frameworks, analytical tools, monitoring systems, or governed research workflows. - Ability to distinguish statistical disparities from their potential causes and to communicate findings without overstating certainty or making unsupported causal or legal conclusions. - Ability to work effectively with technical, operational, legal, privacy, and executive stakeholders and influence consequential decisions through evidence and sound judgment. - Deep curiosity, intellectual humility, strong attention to detail, and a commitment to developing AI systems and organizational processes that work well for people across different backgrounds and circumstances. PREFERRED QUALIFICATIONS - Experience conducting fairness assessments, algorithmic audits, model-risk reviews, adverse-impact analyses, or validation studies in employment or another high-impact domain. - Familiarity with fairness and model-evaluation tools such as Fairlearn, AI Fairness 360, responsible-AI evaluation frameworks, explainability methods, or comparable internal tooling. - Experience evaluating large language models, generative AI systems, safety classifiers, or agentic workflows, including behavioral testing and human evaluation. - Experience with employment selection, talent assessment, psychometrics, organizational research, or the validation of hiring, performance, promotion, or workforce decisions. - Familiarity with responsible-AI frameworks and emerging requirements related to automated employment decision systems, algorithmic auditing, data privacy, and AI governance. - Experience creating model cards, dataset documentation, fairness scorecards, audit reports, monitoring plans, or other review artifacts for high-impact systems. - Advanced degree in Quantitative Psychology, Computer Science, Statistics, Economics, Data Science, Behavioral Science, or a related quantitative field; PhD preferred but not required. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.", "summaryDescription" : "People Research Data Scientist, AI Fairness & Bias at OpenAI", "createdAt" : "2026-06-16T00:30:53.527", "lastUpdated" : "2026-06-16T13:40:56.319", "ingestTimestamp" : "2026-06-16T00:30:53.527", "mongoId" : "6a305f0bf292fd229cf77aa6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 198000, "salaryAnnualMax" : 220000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.6666667, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a3059d3f292fd229cf4b2e5", "title" : "People Research Data Scientist, AI Fairness & Bias", "company" : "OpenAI", "industry" : "People", "salary" : { "min" : 198000.0, "max" : 220000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "San Francisco", "locations" : [ "San Francisco", "New York City", "Seattle", "Washington, DC" ], "timestamp" : "2026-06-16T09:09:13.419", "fingerprint" : "7fd6a99b60de64bf1a3a5678cfcfad9cdca417c42e77711fa8b5f2470c881314", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/openai/cadb7c24-2aea-4b98-a793-65ae9388b5d6/application", "externalId" : "cadb7c24-2aea-4b98-a793-65ae9388b5d6", "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", "remoteFriendly" : true, "rawDescription" : "ABOUT THE TEAM OpenAI’s People team hires, engages, and retains world-class talent to safely build and deploy AGI that benefits all of humanity. The People Analytics team helps leaders make rigorous, evidence-based talent decisions and ensures that the systems supporting those decisions are valid, reliable, fair, and accountable. ABOUT THE ROLE As a People Data Scientist focused on AI fairness and bias testing, you will help establish how OpenAI evaluates AI-assisted People systems and high-impact talent processes. You will design and conduct rigorous assessments to identify, measure, and mitigate potential bias across the lifecycle of models, agents, decision-support tools, and automated workflows. Your work will span the entire employee life-cycle, such as hiring, performance, promotion, employee development, workforce planning, etc. You will evaluate both technical systems and the broader human-AI decision processes in which they operate, examining not only model performance but also data quality, measurement validity, differential outcomes, human oversight, and unintended consequences. We’re looking for an experienced data scientist or applied researcher who can translate complex fairness questions into defensible evaluation strategies, scalable testing infrastructure, and clear recommendations for technical teams and senior leaders. This role is preferred to be based in San Francisco, CA. IN THIS ROLE, YOU WILL: - Define and lead fairness and bias-testing strategies for AI-assisted People processes, models, agents, and decision-support systems from development through deployment and ongoing monitoring. - Design rigorous algorithmic audits and validation studies, including adverse-impact analysis, subgroup and intersectional evaluation, error-rate analysis, calibration, measurement invariance, reliability, criterion-related validity, and sensitivity testing. - Identify the appropriate fairness criteria for each use case, evaluate tradeoffs among competing definitions of fairness, and clearly document the assumptions, limitations, and residual risks of each approach. - Evaluate end-to-end human-AI decision systems, including model outputs, user behavior, human overrides, escalation pathways, and whether AI assistance changes the quality, consistency, or equity of decisions. - Develop evaluation approaches for generative and agentic AI, including test-set design, counterfactual testing, behavioral evaluation, human-rating studies, robustness testing, and analysis of disparate performance across populations and contexts. - Investigate the sources of observed disparities, including data representation, label and measurement bias, proxy variables, model design, decision thresholds, workflow design, and differential adoption or usage. - Partner with engineering, People Operations, Legal, Privacy, Security, and People Systems teams to recommend and evaluate mitigations such as data improvements, model changes, threshold adjustments, workflow redesign, monitoring controls, and additional human oversight. - Build scalable fairness-evaluation infrastructure, including reusable datasets, automated validation pipelines, regression tests, monitoring systems, self-service tools, and standardized reporting. - Establish research and documentation standards for fairness test plans, dataset and model documentation, validation reports, limitations, monitoring plans, and decision records. - Translate complex findings into concise, decision-ready narratives, helping leaders understand the significance of identified risks, the strength of the evidence, available mitigation options, and remaining uncertainty. YOU MIGHT THRIVE IN THIS ROLE IF YOU HAVE: - Deep expertise in algorithmic fairness, bias measurement, responsible AI, psychometrics, applied statistics, or the evaluation of high-impact decision systems. - Exceptional strength in research design, measurement, experimentation, causal inference, and statistical modeling. - Hands-on experience applying methods such as subgroup and intersectional analysis, adverse-impact testing, equalized-odds and equal-opportunity analysis, demographic-parity assessment, calibration analysis, counterfactual testing, measurement invariance, reliability analysis, and validation studies. - Strong judgment about the limitations of fairness metrics, including the ability to determine which measures are appropriate for a particular decision context rather than applying a single universal definition of fairness. - Experience evaluating machine-learning models, generative AI systems, agents, or human-AI workflows using quantitative and qualitative evidence. - High proficiency in Python or R and SQL, with experience working across complex, sensitive, and imperfect datasets. - Experience building reproducible evaluation pipelines, automated testing frameworks, analytical tools, monitoring systems, or governed research workflows. - Ability to distinguish statistical disparities from their potential causes and to communicate findings without overstating certainty or making unsupported causal or legal conclusions. - Ability to work effectively with technical, operational, legal, privacy, and executive stakeholders and influence consequential decisions through evidence and sound judgment. - Deep curiosity, intellectual humility, strong attention to detail, and a commitment to developing AI systems and organizational processes that work well for people across different backgrounds and circumstances. PREFERRED QUALIFICATIONS - Experience conducting fairness assessments, algorithmic audits, model-risk reviews, adverse-impact analyses, or validation studies in employment or another high-impact domain. - Familiarity with fairness and model-evaluation tools such as Fairlearn, AI Fairness 360, responsible-AI evaluation frameworks, explainability methods, or comparable internal tooling. - Experience evaluating large language models, generative AI systems, safety classifiers, or agentic workflows, including behavioral testing and human evaluation. - Experience with employment selection, talent assessment, psychometrics, organizational research, or the validation of hiring, performance, promotion, or workforce decisions. - Familiarity with responsible-AI frameworks and emerging requirements related to automated employment decision systems, algorithmic auditing, data privacy, and AI governance. - Experience creating model cards, dataset documentation, fairness scorecards, audit reports, monitoring plans, or other review artifacts for high-impact systems. - Advanced degree in Quantitative Psychology, Computer Science, Statistics, Economics, Data Science, Behavioral Science, or a related quantitative field; PhD preferred but not required. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.", "summaryDescription" : "People Research Data Scientist, AI Fairness & Bias at OpenAI", "createdAt" : "2026-06-16T00:29:38.255", "lastUpdated" : "2026-06-16T09:09:13.419", "ingestTimestamp" : "2026-06-16T00:29:38.255", "mongoId" : "6a3059d3f292fd229cf4b2e5", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 198000, "salaryAnnualMax" : 220000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.6666667, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "69dde3e52beec4dd3d9a03fa", "title" : "Data Analysis and Quality Assurance Director", "company" : "Texas Workforce Commission", "industry" : "Government", "salary" : { "min" : 155000.0, "max" : 220000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Director of Data Analysis and Quality Assurance in Austin, Texas, adjusted for government industry and seniority." }, "location" : "826770", "locations" : [ "826770", "
Austin:1117 Trinity St (320TX-4002)
1117 Trinity St
Austin, 78701-1919

" ], "timestamp" : "2026-06-15T08:50:23.902", "fingerprint" : "59540f617c815fc9a9369d5c690638b92eadeb9abb68f7061cbad208bee2e008", "source" : "taleo", "language" : "en", "applyUrl" : "https://aa270.taleo.net/careersection/ex/jobdetail.ftl?job=34107", "externalId" : "34107", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Austin", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "30.2711286,-97.7436995" } ], "locationText" : "Austin, Texas, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Tableau, Power BI, Looker, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure", "professionalSkills" : [ "Strategic planning", "Policy development", "Data analysis", "Reporting", "Quality assurance", "Process improvement", "Forecasting", "Modeling" ], "hardSkillsList" : [ "Data reporting", "Data analysis", "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Data reporting", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Statistical methods", "level" : "intermediate" }, { "name" : "ML frameworks", "level" : "intermediate" }, { "name" : "BI platforms", "level" : "intermediate" }, { "name" : "Cloud data stacks", "level" : "intermediate" }, { "name" : "Modelling skills", "level" : "intermediate" }, { "name" : "Regression", "level" : "intermediate" }, { "name" : "Classification", "level" : "intermediate" }, { "name" : "Clustering", "level" : "intermediate" }, { "name" : "Time-series analysis", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Data analysis, Quality assurance, Data engineering, Machine learning", "majorSkillsList" : [ "Data analysis", "Quality assurance", "Data engineering", "Machine learning" ], "coreResponsibilities" : "Direct data reporting and analysis activities, Develop techniques for analyzing and reporting data, Remain compliant with state and federal rules, Develop and establish goals and objectives, Provide direction, guidance, and assistance in developing reports, Provide direction, guidance, and assistance in collecting data, Review and approve reports, Review and approve data collection, Review and approve analysis, Ensure accuracy of reports, Ensure quality reports are distributed, Review guidelines, procedures, rules, Monitor compliance related to contract and procurement databases, Make recommendations to improve data collection, Make recommendations to improve data analysis, Plan, develop, and approve schedules, Plan, develop, and approve priorities, Plan, develop, and approve standards, Review results of special investigations, Review results of internal audits, Review results of research studies, Review results of forecasts, Review results of modeling exercises, Provide direction and guidance, Perform advanced managerial work, Provide direction and guidance in strategic operations, Provide direction and guidance in planning, Establish goals and objectives, Respond to audit requests, Develop guidelines, procedures, policies, rules, and regulations, Develop schedules, priorities, and standards, Coordinate data collection, Coordinate reporting, Coordinate quality, Evaluate data collection, Evaluate reporting, Evaluate quality, Develop data reports, Develop policies and procedures for producing quality reports, Develop policies and procedures for maintaining data integrity, Plan work of others, Assign work of others, Supervise work of others", "teamCollaboration" : "Cross-functional teams; Internal audits; External audits", "projectManagementSkills" : [ "Strategic planning", "Policy development", "Roadmap planning" ], "domainKnowledge" : "Procurement; Contract management; State data reporting; Federal regulations", "domainList" : [ "procurement", "contract-management", "state-data-reporting", "federal-regulations" ], "domainSpecificKnowledge" : [ "Procurement", "Contract management", "State data reporting", "Federal regulations" ], "toolProficiency" : [ "Dbt Cloud" ], "communicationSkills" : "Executive presentations; Technical documentation; Client meetings", "documentationSkills" : "Technical writing; API documentation; Architecture diagrams", "continuousLearning" : "Training and development opportunities", "innovationCreativity" : "Innovative ideas; Streamline processes", "problemSolvingSkills" : "Problem solver; Root cause analysis; Data-driven decision making", "specialRequirements" : "Texas resident required, Relocate to Texas required", "outcomesObjectives" : "Ensure departmental processes are impartial; Ensure departmental processes are transparent; Ensure departmental processes are professional; Acquisitions of program services for the State", "qualificationsBasic" : "Five years of experience in oversight and direction of an agency or in strategic planning and policy development and implementation, Two years of experience in administrative management or supervisory capacity, Two years of experience in data collection and analysis, One year experience in management and direction of staff relevant to data collection and analysis, Experience with state data reporting and analysis", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Data Analysis and Quality Assurance (DAQA) Director Who We Are: Texas Workforce Commission connects people with careers across the state. We are based in Austin on the east side of the Texas State Capitol, in the Business Operations Division located at 1117 Trinity Street in Austin. We're a Family Friendly Certified Workplace with great work-life balance, competitive salaries, extensive opportunities for training and development, and fantastic benefits. TWC is not considering applications from individuals who require sponsorship for an employment visa, including those with H1B visas or those currently on student or postgraduate visas. You must be a Texas resident to work for the Texas Workforce Commission or willing to relocate to Texas. Who You Are: A self-starting, motivated, collaborative problem solver who understands the value of data analysis in measurement of procurement and contract related activities for the Procurement and Contract Services Department. You should share our department’s mission to provide excellent customer service and ensure that departmental processes are impartial, transparent, and professional. You should be innovative and open to new ideas to streamline existing processes. We strive to ensure that acquisitions of program services are conducted with the best outcome for the State in mind. What you Will Do: The Data Analysis and Quality Assurance (DAQA) Director: -Directs data reporting and analysis activities. -Develops and implements techniques for analyzing and reporting data in meaningful ways and remains compliant with state and federal rules and regulations. -Develops and establishes goals and objectives consistent with the agency policy and procedure. -Provides direction, guidance, and assistance in developing reports and collecting data related to contracts and procurement. -Reviews and approves reports, data collection and analysis, and ensures accuracy and that quality reports are distributed. -Reviews guidelines, procedures, rules, and regulations; and monitors compliance related to contract and procurement databases. -Makes recommendations to improve data collection and analysis. -Plans, develops, and approves schedules, priorities, and standards for achieving goals. -Reviews results of special investigations, internal audits, research studies, forecasts, and modeling exercises to provide direction and guidance. -Performs advanced (senior-level) managerial work providing direction and guidance in strategic operations and planning. Works under minimal supervision, with extensive latitude for the use of initiative and independent judgment. You Will be Trusted To: -Establish goals and objectives. -Respond to audit requests from internal and external entities. -Develop guidelines, procedures, policies, rules, and regulations. -Develop schedules, priorities, and standards for achieving established goals. -Coordinate and evaluate data collection, reporting, and quality. -Develop and evaluate data reports and policies and procedures for producing quality reports and maintaining data integrity. -Plan, assign, and supervise the work of others. -Work under limited supervision, with considerable latitude for the use of initiative and independent judgment. -Performs other duties as assigned. You Qualify With: -Five years of full-time experience in the oversight and direction of an agency program; or in strategic planning and policy development and implementation, two years of which must have been in an administrative management or supervisory capacity. -Relevant academic credits may be applied toward experience qualifications for this position. You Are a Great Fit With: -A minimum of two years’ experience in data collection and analysis. -One year experience in the management and direction of staff relevant to data collection and analysis. -Experience with state data reporting and analysis. You Gain: -A Family Friendly Certified Workplace. -Competitive starting salary: $9,166.67 to $9,583.34/month, depending on experience -Defined Retirement Benefit Plan -Optional 401(k) and 457 accounts -Medical Insurance -Paid time off, including time for vacation, sick and family care leave -Additional benefits for active employees can be found at https://www.ers.texas.gov/Active-Employees/Health-Benefits. VETERANS: Use your military skills to qualify for this position or other jobs! Go to www.texasskillstowork.com to translate your military work experience and training courses into civilian job terms, qualifications, and skill sets. Also, you can compare this position to military occupations (MOS) at the Texas State Auditor's Office by pasting this link into your browser: https://hr.sao.texas.gov/Compensation/MilitaryCrosswalk/MOSC_ProgramManagement.pdf HOW TO APPLY: To be considered, please complete a State of Texas Application for Employment and apply online at www.workintexas.com or on Taleo ( Job Search ). TWC is not considering applications from individuals who require sponsorship for an employment visa, including those with H1B visas or those currently on student or postgraduate visas In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire. A position utilizing this classification will be designated as security sensitive according to the Texas Labor Code, Section 301.042. United States-Texas-Austin", "summaryDescription" : "Data Analysis and Quality Assurance Director at Texas Workforce Commission. Skills: Data analysis, Quality assurance, Data engineering, Machine learning. Direct data reporting and analysis activities. Develop techniques for analyzing and reporting data", "createdAt" : "2026-06-14T01:12:18.507", "lastUpdated" : "2026-06-15T08:50:23.902", "ingestTimestamp" : "2026-06-14T01:12:18.507", "mongoId" : "69dde3e52beec4dd3d9a03fa", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 155000, "salaryAnnualMax" : 220000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Data reporting", "Data analysis", "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference", "Quality assurance", "Data engineering", "Machine learning", "Strategic planning", "Policy development", "Reporting", "Process improvement", "Forecasting", "Modeling", "Roadmap planning", "Procurement", "Contract management", "State data reporting", "Federal regulations", "Dbt Cloud" ], "skillCount" : 28, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Director", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3055c5f292fd229cf216a6", "title" : "Data Analyst", "company" : "Rogers Behavioral Health", "industry" : "Healthcare", "salary" : { "min" : 58000.0, "max" : 78000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Data Analyst in Oconomowoc, WI, adjusted for the healthcare industry and company size." }, "location" : "Oconomowoc, WI", "locations" : [ "Oconomowoc, WI", "United States of America" ], "timestamp" : "2026-06-16T15:40:47.838", "fingerprint" : "81c13d7c6b1ab723124ceaba11eb9471dff168023c6240eadc0356295effaf99", "source" : "workday", "language" : "en", "applyUrl" : "https://rogersbh.wd1.myworkdayjobs.com/RBHCareer/job/Executive-Drive-Oconomowoc-WI/Data-Analyst_R7331", "externalId" : "R7331", "industryFunction" : { }, "locationPoint" : "43.11167,-88.49927", "structuredLocations" : [ { "city" : "Oconomowoc", "state" : "Wisconsin", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "43.1116731,-88.4992659" } ], "locationText" : "Oconomowoc, Wisconsin, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Power BI, R, SQL, Python, Microsoft Office", "hardSkillsList" : [ "Data analysis", "Statistical analysis", "Data visualization", "Data gathering", "Report development", "Data management", "Data extraction", "Data utilization", "Data cleaning", "Hypothesis testing", "A/B testing", "Regression analysis" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "Data gathering", "level" : "intermediate" }, { "name" : "Report development", "level" : "intermediate" }, { "name" : "Data management", "level" : "intermediate" }, { "name" : "Data extraction", "level" : "intermediate" }, { "name" : "Data utilization", "level" : "intermediate" }, { "name" : "Data cleaning", "level" : "intermediate" }, { "name" : "Hypothesis testing", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Regression analysis", "level" : "intermediate" } ], "majorSkills" : "Data analysis, Reporting, SQL", "majorSkillsList" : [ "Data analysis", "Reporting", "SQL" ], "coreResponsibilities" : "Assist in retrieving data, Build reports and dashboards, Visualize key metrics, Assist with creating research datasets, Participate in data management tasks, Query and merge datasets, Learn and develop proficiency in data analysis tools, Collaborate with the team, Develop a fundamental understanding of data sources, Develop a fundamental understanding of data extraction process, Support team with data extraction, Support team with data utilization, Assist with contextualizing data, Assist with data flow automation, Work closely with data analysts, Work closely with leaders, Understand business needs, Contribute to data-driven decision-making, Participate in innovative data analysis projects, Contribute to organization's journey, Learn and provide support for data analysis tasks, Contribute to data-driven hypothesis testing, Contribute to A testing, Contribute to regression analysis, Contribute to other statistical methods, Participate in meetings, Assist in presenting basic reports, Assist in presenting findings, Assist in presenting analyses, Promote a team atmosphere, Treat individuals with respect, Treat individuals with honesty, Use direct communication, Use active listening skills, Be open to change, Actively support change, Be open to others’ ideas, Be open to others’ points of view, Evaluate employees objectively, Provide employees with periodic feedback, Promote department goals, Promote the mission of the hospital, Communicate goals to fellow staff members, Maintain department policies, Maintain department procedures, Include requirements from external agencies, Maintain function backlog, Communicate function backlog, Educate new staff regarding regulations, Educate new staff regarding requirements, Demonstrate acceptance of student interns, Demonstrate training of student interns, Participate in hospital committees, Participate in performance improvement team meetings, Participate in team projects, Demonstrate punctuality, Demonstrate preparedness, Demonstrate effective communication skills, Demonstrate good organizational skills, Contribute in a positive manner, Contribute in a solution-focused manner, Conduct self in a professional manner, Demonstrate organizational skills, Promote timely response to inquiries, Promote timely task completion, Communicate with all individuals professionally, Attempt to resolve individual issues with peers, Communicate concerns, Provide solutions for concerns, Project a professional image, Wear appropriate professional attire, Influence departments within Rogers, Provide technical guidance", "teamCollaboration" : "Work closely with data analysts; Work closely with leaders; Collaborate with the team", "toolProficiency" : [ "Power BI", "R", "SQL", "Microsoft Office", "Python" ], "communicationSkills" : "Written communication; Verbal communication; Presenting reports; Presenting findings; Presenting analyses", "continuousLearning" : "Tuition reimbursement", "innovationCreativity" : "Innovative data analysis projects", "qualificationsBasic" : "Bachelor's degree in relevant field, 1-3 years experience in data analysis, Experience with data visualization tools, Experience with at least one statistical programming language, Experience querying data using SQL scripting", "qualificationsPreferred" : "Microsoft Fabric experience highly preferred, Desire to build foundational knowledge in advanced analytic/statistical methods", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Summary: The Data Analyst plays an essential role in supporting data gathering, analysis, and report development. This position will utilize data and develop reports, while also being dedicated to learning the fundamentals of data analysis and developing foundational skills to contribute to the organization's data-driven initiatives. The Data Analyst will assist senior team members while also creating output to help system leaders in understanding key metrics. # **__Job Duties & Responsibilities__**: ## Data Gathering and Reporting: * Assist in retrieving data from various sources and build reports and dashboards to visualize key metrics to system leader and/or assist with creating research datasets * Participate in data management tasks by querying and merging datasets. * Learn and develop proficiency in data analysis tools and software such as Power BI, R, SQL, Microsoft Office, Python, and others. ## Data Extraction and Utilization: * Collaborate with the team to develop a fundamental understanding of data sources and the data extraction process. * Support team with data extraction and utilization efforts. * Assist with contextualizing data and data flow automation. ## Collaboration and Learning: * Work closely with data analysts and leaders to understand business needs and contribute to data-driven decision-making. * Participate in innovative data analysis projects and contribute to the organization's journey towards becoming more data-driven. ## Data Analysis Support: * Learn and provide support for data analysis tasks, such as data cleaning and statistical analysis. * Contribute to data-driven hypothesis testing, A/B testing, regression analysis, and other statistical methods. ## Effective Communication: * Participate in meetings and assist in presenting basic reports, findings, and analyses to stakeholders within the system. ## Promote a team atmosphere by treating individuals with respect and honesty and by using direct communication and active listening skills. * Be open to change and actively support change. * Be open to others’ ideas and points of view. * Evaluate employees objectively and provide employees with periodic feedback. ## Promote department goals as well as the mission of the hospital. * Communicate goals to fellow staff members. * Maintain department policies and procedures. * Include requirements and guidelines from external agencies (i.e., Joint Commission, State of Wisconsin). * Maintain and/or communicate to appropriate party function backlog at a set time. * Educate new staff regarding regulations or requirements of those functions that relate to their areas or departments, as directed. * Demonstrate acceptance and training of student interns in the department, as directed. ## Participate in hospital committees, performance improvement team meetings, and team projects, as directed. * Demonstrate punctuality and preparedness. * Demonstrate effective communication skills. * Demonstrate good organizational skills. * Contribute in a positive, solution-focused manner. ## Conduct self in a professional manner. * Demonstrate organizational skills that promote timely response to all inquiries and to task completion. * Communicate with all individuals in a positive and professional manner. * Attempt to resolve individual issues with peers in a positive, calm manner, with a focus on solution. * Communicate concerns and provide solutions for same. * Project a professional image by wearing appropriate, professional attire. * Ability to influence departments within Rogers and provide technical guidance. **Additional Job Description:** ## Requirements/Qualifications * Bachelor's degree in a relevant field (e.g., computer science, math/statistics, economics, psychology, etc.). * 1-3 years of experience in a data analysis-related role * Strong interest in data analysis and a willingness to learn and grow in the field. * Experience with data visualization tools (e.g., Power BI, Tableau, Looker, etc.). * Experience with at least one statistical programming language (e.g., R, Python, SAS, Stata, etc.). * Experience querying data using SQL scripting. * Experience with Microsoft Fabric is highly preferrred. * A desire to build foundational knowledge in advanced analytic/statistical methods. * Exceptional written and verbal communication skills. * A meticulous and detail-oriented approach. With a career at Rogers, you can look forward to a Total Rewards package of benefits, including: * Health, dental, and vision insurance coverage for you and your family * 401(k) retirement plan * Employee share program * Life/disability insurance * Flex spending accounts * Tuition reimbursement * Health and wellness program * Employee assistance program (EAP) _Through UnitedHealthcare, UMR and HealthSCOPE Benefits creates and publishes the Machine-Readable Files on behalf of Rogers Behavioral Health._ _To link to the Machine-Readable Files, please visit_ [**Transparency in Coverage (uhc.com)**](https://nam10.safelinks.protection.outlook.com/?url=https%3A%2F%2Ftransparency-in-coverage.uhc.com%2F&data=05%7C02%7CJumana.Adamjee%40rogersbh.org%7Cd71e809e401648720d4808dc9a097563%7Cd2ad4f331a7a4f81b69f497f7b3e308b%7C0%7C0%7C638554612646435009%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&sdata=RbxZA8HjAE8auNJzL9l1u8ekjWZcmstn%2Bh5QOMc0jGU%3D&reserved=0)", "summaryDescription" : "Data Analyst at Rogers Behavioral Health. Skills: Data analysis, Reporting, SQL. Assist in retrieving data. Build reports and dashboards", "postedDate" : "2026-06-16T03:44:55.490", "createdAt" : "2026-06-16T03:44:55.447", "lastUpdated" : "2026-06-16T15:40:47.838", "ingestTimestamp" : "2026-06-16T03:44:55.447", "mongoId" : "6a3055c5f292fd229cf216a6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://rogersbh.wd1.myworkdayjobs.com/RBHCareer/job/Executive-Drive-Oconomowoc-WI/Data-Analyst_R7331", "salaryAnnualMin" : 58000, "salaryAnnualMax" : 78000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Data analysis", "Statistical analysis", "Data visualization", "Data gathering", "Report development", "Data management", "Data extraction", "Data utilization", "Data cleaning", "Hypothesis testing", "A/B testing", "Regression analysis", "Reporting", "SQL", "Power BI", "R", "Microsoft Office", "Python" ], "skillCount" : 18, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "mid", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c96bd74d8ee00a09905fb", "title" : "Manager, Data Management & Visualization", "company" : "Omnicom Media", "industry" : "Media", "salary" : { "min" : 90000.0, "max" : 105000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, United States", "locations" : [ "New York", "New York", "United States" ], "timestamp" : "2026-06-15T08:00:37.013", "fingerprint" : "c260c2d123b518d7ee80528c7da94465909d98010eee9ec843a351265fcc92d3", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/mediabrands/jobs/5132706007", "externalId" : "5132706007", "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", "experienceLevel" : "Manager", "softSkillsList" : [ "Interpersonal skills" ], "softSkills" : [ { "name" : "Interpersonal skills" } ], "teamCollaboration" : "Collaboration and interpersonal skills", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "Paid data; Owned data; Campaign management; Performance optimization", "domainList" : [ "paid-data", "owned-data", "campaign-management", "performance-optimization" ], "domainSpecificKnowledge" : [ "Paid data", "Owned data", "Campaign management", "Performance optimization" ], "problemSolvingSkills" : "Proactive problem-solving", "remoteFriendly" : false, "rawDescription" : "Position Summary The Manager, Data Management comfort with diverse dataset types (paid, owned, etc.) Familiarity with campaign management and performance optimization processes Strong attention to detail and ability to identify and resolve data anomalies Advanced verbal, written, organizational, and project management skills; comfortable juggling multiple priorities Excellent collaboration and interpersonal skills with a proactive approach to problem-solving Experience in process automation/continuous improvement initiatives TOOLS Business Intelligence: Advanced Excel (required), Tableau, PowerBI, Datorama, Looker/Looker Studio, Domo, PowerPoint Data Management & Transformation: ETL Tools (Adverity, Datorama), Alteryx, SQL (preferred), Python (nice to have) Data Storage/Cloud: AWS (Redshift, S3), Starburst.io, Datorama, Snowflake, Domo Media Platforms: DCM, DV360, Google Ads, DoubleVerify, IAS, TradeDesk, Facebook, Instagram, Snapchat, Twitter, TikTok, Prisma Project Management: HIVE, Asana, Smartsheet, Microsoft Teams Media Planning: MediaTools, Lumina, Hudson (bonus) Wage and Benefits We offer a Total Rewards package that includes medical and dental coverage, 401(k) plans, flex spending, life insurance, disability, employee discount program, employee stock purchase program and paid family benefits to support you and your family. . The salary range for this position is posted below. Where an employee or prospective employee is paid within this range will depend on, among other factors, actual ranges for current/former employees in the subject position, market considerations, budgetary considerations, tenure and standing with the Company (applicable to current employees), as well as the employee’s/applicant’s skill set, level of experience, and qualifications. Employment Transparency It is our policy to provide equal employment opportunities to all employees and applicants for employment without regard to race, color, ethnicity, gender, age, religion, creed, national origin, sexual orientation, gender identity, marital status, citizenship, genetic information, veteran status, disability, or any other basis prohibited by applicable federal, state, or local law. Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice. The employer will make reasonable accommodations in compliance with the American with Disabilities Act of 1990. The job description will be reviewed periodically as duties and responsibilities change with business necessity. Essential and other job functions are subject to modification. Reasonable accommodations may be provided to enable individuals with disabilities to perform the essential functions. For applicants to jobs in the United States: In compliance with the current Americans with Disabilities Act and state and local laws, if you have a disability and would like to request an accommodation to apply for a position with Mediabrands, please email accommodation@mbww.com. Salary Range $90,000—$105,000 USD", "summaryDescription" : "Manager, Data Management & Visualization at Omnicom Media", "postedDate" : "2026-06-13T22:31:10.793", "createdAt" : "2026-06-13T22:31:10.793", "lastUpdated" : "2026-06-15T08:00:37.013", "ingestTimestamp" : "2026-06-13T22:31:10.793", "mongoId" : "6a2c96bd74d8ee00a09905fb", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 90000, "salaryAnnualMax" : 105000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Interpersonal skills", "Project management", "Paid data", "Owned data", "Campaign management", "Performance optimization" ], "skillCount" : 6, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Media", "llmIndustryConfidence" : 0.95 }, { "id" : "6a306744f292fd229cfbb1ab", "title" : "Data Scientist", "company" : "Tactile Medical", "industry" : "Healthcare", "salary" : { "min" : 100500.0, "max" : 150675.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Corporate", "locations" : [ "Corporate" ], "timestamp" : "2026-06-16T11:10:49.753", "fingerprint" : "f718036c327c571fbaaee5e06aa45e9f62564105866497cd0528d10a0ff5e709", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/tactilemedical/jobs/4282685009", "externalId" : "4282685009", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 4, "experienceMaxYears" : 7, "experienceLevel" : "Mid", "technicalSkills" : "Python, SQL, Salesforce CRM", "professionalSkills" : [ "Predictive modeling", "Data science", "Machine learning" ], "hardSkillsList" : [ "Causal inference", "Predictive analytics", "Statistical modeling" ], "hardSkills" : [ { "name" : "Causal inference", "level" : "intermediate" }, { "name" : "Predictive analytics", "level" : "intermediate" }, { "name" : "Statistical modeling", "level" : "intermediate" } ], "majorSkills" : "Data science, Machine learning, Predictive modeling", "majorSkillsList" : [ "Data science", "Machine learning", "Predictive modeling" ], "coreResponsibilities" : "Build causal inference models, Develop predictive analytics, Train commercial team users, Communicate model pipeline status, Collect internal stakeholder needs, Manage assigned projects", "teamCollaboration" : "Marketing leadership; Market access leadership; Sales excellence leadership; Commercial leadership", "domainKnowledge" : "Healthcare claims data; Referral-based commercial models; Payer coverage dynamics; Prior authorization processes; DME reimbursement; Medical device reimbursement", "domainList" : [ "healthcare-claims-data", "referral-based-commercial-models", "payer-coverage-dynamics", "prior-authorization-processes", "dme-reimbursement", "medical-device-reimbursement" ], "domainSpecificKnowledge" : [ "Healthcare claims data", "Referral-based commercial models", "Payer coverage dynamics", "Prior authorization processes", "DME reimbursement", "Medical device reimbursement" ], "toolProficiency" : [ "Power BI", "Fabric" ], "communicationSkills" : "Translate technical findings", "problemSolvingSkills" : "Intellectual curiosity", "qualificationsBasic" : "Bachelor's degree in quantitative field, 4-7 years applied data science experience, 4-7 years machine learning experience, Experience creating predictive models for non-data-scientists, Expert-level Python skills, Expert-level SQL skills, Transform messy healthcare data", "qualificationsPreferred" : "Master's or PhD in quantitative field, Survival analysis experience, Salesforce data architecture familiarity, Power BI development experience, Tableau development experience", "rawDescription" : "At Tactile Medical, we specialize in developing at-home therapy devices to treat lymphedema, chronic venous insufficiency and respiratory illnesses. Position Summary The Marketing Data Scientist is the predictive intelligence engine of TCMD's Marketing and Market Access organization. The primary work is finding connections in TCMD's data that no one has looked for yet, building predictive models, and translating validated models into forward-looking tools. This individual synthesizes insights from Tactile’s internal and external data platforms to develop and explore hypotheses for growth. The role's mission is to surface predictive insights from these systems that inform commercial strategy before decisions are finalized. This role collaborates closely with marketing and market access leadership along with sales excellence and commercial leadership. Accountabilities building causal inference models isolating incremental referral lift from specific marketing programs • Develop predictive analytics supporting payer targeting and coverage expansion opportunities • Train commercial team users on how to interpret and act on model outputs and the specific decisions the model is designed to support • Communicate within marketing and market access on status of model pipeline and backlog; routinely collect voice of internal stakeholder needs to drive continuous improvement in data driven decision making • Manage assigned projects to completion on time, within scope, and within budget. • Other duties as assigned. Qualifications Required: • Bachelor's degree in data science, statistics, mathematics, computer science, economics, or a quantitative field with strong statistical foundations • 4-7 years applied data science or machine learning experience, applied in commercial or operational environments • Experience creating predictive models for non-data-scientists to make real commercial or operational decisions • Comfort with messy healthcare commercial data, intellectual curiosity, and the communication discipline to translate technical findings into commercial language • Expert-level modern data science skills in Python and SQL working with structured data and machine-learning frameworks; version-controlled code development and deployment • Ability to transform messy, real-world healthcare data with missing values, inconsistent coding, and multiple granularities into reliable predictive model inputs • Working knowledge of Salesforce CRM architecture, healthcare claims data, Power BI/Fabric deployment environments Preferred: • Master's or PhD in quantitative field • Understanding of referral-based commercial models, payer coverage dynamics, prior authorization processes, and DME/medical device reimbursement • Survival analysis experience — has applied time-to-event modeling in a commercial context (e.g., customer churn, time-to-conversion, time-to-renewal). Particularly relevant for funnel stage duration modeling and HCP churn prediction • Salesforce data architecture familiarity — understands the Salesforce object model well enough to write efficient queries and build reliable features from CRM data without requiring a Salesforce administrator to extract data • Power BI or Tableau development experience sufficient to deploy model scoring outputs as operational dashboards • Experience in a B2B2C or referral-based commercial model where the customer and the end user are different Our total compensation package includes medical, dental and vision benefits, retirement benefits, employee stock purchase plan, paid time off, parental leave, family medical leave, volunteer time off and additional leave programs, life insurance, disability coverage, and other life and work wellness benefits and discounts. Benefits may be subject to generally applicable eligibility, waiting period, contributions, and other requirements and conditions. Below is the starting salary or hourly range for this position, although offers may differ based on the candidate's location, job-specific knowledge, skills and experience. US Pay Range $100,500—$150,675 USD To learn more about our Privacy Statement follow this link - https://tactilemedical.com/privacy-statement/ To learn more about our California Privacy Notice follow this link - https://tactilemedical.com/california-privacy-notice/", "summaryDescription" : "Data Scientist at Tactile Medical. Skills: Data science, Machine learning, Predictive modeling. Build causal inference models. Develop predictive analytics", "postedDate" : "2026-06-15T23:28:42.042", "createdAt" : "2026-06-15T23:28:42.042", "lastUpdated" : "2026-06-16T11:10:49.753", "ingestTimestamp" : "2026-06-15T23:28:42.042", "mongoId" : "6a306744f292fd229cfbb1ab", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 100500, "salaryAnnualMax" : 150675, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Causal inference", "Predictive analytics", "Statistical modeling", "Data science", "Machine learning", "Predictive modeling", "Healthcare claims data", "Referral-based commercial models", "Payer coverage dynamics", "Prior authorization processes", "DME reimbursement", "Medical device reimbursement", "Power BI", "Fabric" ], "skillCount" : 14, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c96bd74d8ee00a09905fd", "title" : "Manager, Data Management & Visualization", "company" : "Omnicom Media", "industry" : "Media", "salary" : { "min" : 90000.0, "max" : 105000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, United States", "locations" : [ "New York", "New York", "United States" ], "timestamp" : "2026-06-15T12:53:00.363", "fingerprint" : "521be217c1a87f42ee279a1f79c2789cbbf2ed7c6d8b27d65a6ac3f8729ab370", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/mediabrands/jobs/5148226007", "externalId" : "5148226007", "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", "experienceLevel" : "Manager", "domainKnowledge" : "Paid data; Owned data; Media platforms; Data management; Data visualization", "domainList" : [ "paid-data", "owned-data", "media-platforms", "data-management", "data-visualization" ], "domainSpecificKnowledge" : [ "Paid data", "Owned data", "Media platforms", "Data management", "Data visualization" ], "communicationSkills" : "Advanced verbal; Advanced written", "problemSolvingSkills" : "Problem-solving", "remoteFriendly" : false, "rawDescription" : "Position Summary The Manager, Data Management comfort with diverse dataset types (paid, owned, etc.) Familiarity with campaign management and performance optimization processes Strong attention to detail and ability to identify and resolve data anomalies Advanced verbal, written, organizational, and project management skills; comfortable juggling multiple priorities Excellent collaboration and interpersonal skills with a proactive approach to problem-solving Experience in process automation/continuous improvement initiatives TOOLS Business Intelligence: Advanced Excel (required), Tableau, PowerBI, Datorama, Looker/Looker Studio, Domo, PowerPoint Data Management & Transformation: ETL Tools (Adverity, Datorama), Alteryx, SQL (preferred), Python (nice to have) Data Storage/Cloud: AWS (Redshift, S3), Starburst.io, Datorama, Snowflake, Domo Media Platforms: DCM, DV360, Google Ads, DoubleVerify, IAS, TradeDesk, Facebook, Instagram, Snapchat, Twitter, TikTok, Prisma Project Management: HIVE, Asana, Smartsheet, Microsoft Teams Media Planning: MediaTools, Lumina, Hudson (bonus) Wage and Benefits We offer a Total Rewards package that includes medical and dental coverage, 401(k) plans, flex spending, life insurance, disability, employee discount program, employee stock purchase program and paid family benefits to support you and your family. . The salary range for this position is posted below. Where an employee or prospective employee is paid within this range will depend on, among other factors, actual ranges for current/former employees in the subject position, market considerations, budgetary considerations, tenure and standing with the Company (applicable to current employees), as well as the employee’s/applicant’s skill set, level of experience, and qualifications. Employment Transparency It is our policy to provide equal employment opportunities to all employees and applicants for employment without regard to race, color, ethnicity, gender, age, religion, creed, national origin, sexual orientation, gender identity, marital status, citizenship, genetic information, veteran status, disability, or any other basis prohibited by applicable federal, state, or local law. Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice. The employer will make reasonable accommodations in compliance with the American with Disabilities Act of 1990. The job description will be reviewed periodically as duties and responsibilities change with business necessity. Essential and other job functions are subject to modification. Reasonable accommodations may be provided to enable individuals with disabilities to perform the essential functions. For applicants to jobs in the United States: In compliance with the current Americans with Disabilities Act and state and local laws, if you have a disability and would like to request an accommodation to apply for a position with Mediabrands, please email accommodation@mbww.com. Salary Range $90,000—$105,000 USD", "summaryDescription" : "Manager, Data Management & Visualization at Omnicom Media", "postedDate" : "2026-06-13T20:55:41.364", "createdAt" : "2026-06-13T20:55:41.364", "lastUpdated" : "2026-06-15T12:53:00.363", "ingestTimestamp" : "2026-06-13T20:55:41.364", "mongoId" : "6a2c96bd74d8ee00a09905fd", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 90000, "salaryAnnualMax" : 105000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Paid data", "Owned data", "Media platforms", "Data management", "Data visualization" ], "skillCount" : 5, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Media", "llmIndustryConfidence" : 0.95 }, { "id" : "68b706987fc9a711f0f6fdee", "title" : "Data Center Project Manager", "company" : "Amazon Data Services, Inc.", "industry" : "Facilities, Maintenance, Real Estate, Tech Ops Engineering, Cloud Computing", "salary" : { "min" : 98700.0, "max" : 210800.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Sterling, Virginia, USA", "locations" : [ "Sterling, Virginia, USA" ], "timestamp" : "2026-06-15T08:08:32.476", "fingerprint" : "4fc3d5dcec3945081495a9539d2f565ae0fccc4fb600a950443d42af737de052", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3052304/apply", "externalId" : "609b57d1-4b42-4c61-a17e-b94b9808a0a1", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sterling", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "39.0036850,-77.4083096" } ], "locationText" : "Sterling, Virginia, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "Electrical, Mechanical, Controls, Architectural, Power distribution", "professionalSkills" : [ "Project oversight", "Vendor management", "Process improvement" ], "hardSkillsList" : [ "Data analysis" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" } ], "majorSkills" : "Project management, Data center operations", "majorSkillsList" : [ "Project management", "Data center operations" ], "coreResponsibilities" : "Oversee project review, Identify areas for improvement, Act on data provided, Design innovative solutions, Develop innovative solutions, Deploy innovative solutions, Address operational challenges, Coordinate project implementation, Control project execution, Complete projects", "teamCollaboration" : "Work within multi-disciplinary teams; Collaborate with people across AWS", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "Data center systems; Electrical systems; Mechanical systems; Fire detection systems; Building automation systems", "domainList" : [ "data-center-systems", "electrical-systems", "mechanical-systems", "fire-detection-systems", "building-automation-systems" ], "domainSpecificKnowledge" : [ "Data center systems", "Electrical systems", "Mechanical systems", "Fire detection systems", "Building automation systems" ], "innovationCreativity" : "Design innovative solutions", "problemSolvingSkills" : "Identify areas for improvement; Address operational challenges", "outcomesObjectives" : "Provide infinite capacity; Lowest possible cost", "qualificationsBasic" : "5+ years managing projects, 5+ years in Construction, 5+ years in on-site construction trades", "qualificationsPreferred" : "BAS in Engineering, 5+ years in technical field, 5+ years in data center mechanical cooling systems", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help. You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. We are currently seeking a Data Center Project Manager to serve as a technical resource within Amazon data centers. You will be part of a highly creative, efficient team tasked with tackling the most fascinating and challenges in designing, building, and operating Amazon data facilities. The Project Manager is ultimately responsible for project oversight and review of all disciplines including electrical, mechanical, controls, and architectural. A fundamental understanding of these systems is required, as the individual will be expected to identify areas for improvement as well as act on data provided from other team and organizations. Ideal candidates will possess the ability to design, develop and deploy innovative solutions to address operational challenges. This role requires both independent contribution as well as the ability to work within multi-disciplinary teams. The scope of projects will include but not limited to the improvement of electrical, mechanical, fire detection and building automation system. The Project Manager is responsible for the overall direction, coordination, implementation, execution, control and completion of specific projects ensuring consistency with company strategy, commitments and goals. If you are passionate about the Customer Experience; you think big; and you want to contribute to the operational excellence of Amazon data centers then this may be the challenge you’ve been looking for! About the team *Why AWS* Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. *Diverse Experiences* Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. *Work/Life Balance* We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. *Inclusive Team Culture* Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness. *Mentorship and Career Growth* We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. #DCCD_AMER Basic Qualifications: 5+ years managing projects in data centers or comparable critical infrastructure in an operational space. Comparable critical infrastructure experience is defined as a facility that includes a 24/7 emergency backup system, manufacturing facility (semiconductor, auto, medical equipment or Clean rooms), Mass Transportation (freight or passenger rail), Oil and Gas, Utility, Hospitals or similar industry. 5+ years in Construction or Project Management. 5+ years in on-site construction trades (mechanical, electrical, general) Vendor Management. Preferred Qualifications: BA/BS in Engineering, Project Management, Construction Management or similar Technical focus. 5+ years in the technical field of power distribution and data center mechanical cooling systems. Demonstrated ability to understand and discuss technical concepts, manage trade-offs, incorporate feedback, and evaluate opportunistic new ideas with a variety of internal and external stakeholders Significant experience successfully delivering results in a fast paced, dynamic environment Proven track record for being detail-oriented with a demonstrated ability to self-motivate and follow-through on projects Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $98,700/year in our lowest geographic market up to $210,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Data Center Project Manager at Amazon Data Services, Inc.. Skills: Project management, Data center operations. Oversee project review. Identify areas for improvement", "postedDate" : "2026-06-13T19:51:04.471", "createdAt" : "2026-06-13T19:51:04.471", "lastUpdated" : "2026-06-15T08:08:32.476", "ingestTimestamp" : "2026-06-13T19:51:04.471", "mongoId" : "68b706987fc9a711f0f6fdee", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3052304/apply", "salaryAnnualMin" : 98700, "salaryAnnualMax" : 210800, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Data analysis", "Project management", "Data center operations", "Project oversight", "Vendor management", "Process improvement", "Data center systems", "Electrical systems", "Mechanical systems", "Fire detection systems", "Building automation systems" ], "skillCount" : 11, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305a87f292fd229cf52328", "title" : "Data Analyst", "company" : "Scopely", "industry" : "Media", "salary" : { "min" : 950000.0, "max" : 1550000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Data Analyst in Bangalore, India, with mid-level experience in the gaming industry, adjusted for company size and onsite work mode." }, "location" : "Bangalore", "locations" : [ "Bangalore" ], "timestamp" : "2026-06-16T09:04:04.324", "fingerprint" : "acd99eed97a7e82aa2450ab159df05e3544833595bc70fc68360274008434d6d", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/scopely/jobs/5226372008?gh_jid=5226372008", "externalId" : "5226372008", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bangalore", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "hybrid", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bangalore, India", "minimumEducation" : "Bachelor's", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "SQL, Python, Tableau, Looker, R, SAS, SPSS, Matlab", "professionalSkills" : [ "Performance marketing analysis", "Forecasting" ], "hardSkillsList" : [ "Quantitative analysis", "Statistical analysis", "Financial analysis", "Complex queries", "A/B testing" ], "hardSkills" : [ { "name" : "Quantitative analysis", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Financial analysis", "level" : "intermediate" }, { "name" : "Complex queries", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" } ], "coreResponsibilities" : "Deliver actionable insights, Increase user acquisition, Increase engagement, Increase monetization, Provide reports, Design analytics events, Implement analytics events, Design queries, Implement queries, Evaluate game features, Improve game features, Perform analyses, Identify trends, Analyze trends, Interpret trends, Analyze issues, Interpret issues, Analyze opportunities, Interpret opportunities, Perform competitor analysis, Answer business questions, Generate business reports, Perform exploratory data analysis, Generate ad-hoc reports, Design statistical testing, Implement statistical testing", "teamCollaboration" : "Work collaboratively with game teams", "domainKnowledge" : "Mobile gaming", "domainList" : [ "mobile-gaming" ], "domainSpecificKnowledge" : [ "Mobile gaming" ], "toolProficiency" : [ "Tableau", "Looker" ], "communicationSkills" : "Presentation skills", "problemSolvingSkills" : "Analytical skills; Problem-solving skills", "qualificationsBasic" : "B. TechS in Computer Science, B. TechS in Statistics, B. TechS in Math, B. TechS in Physics, 2+ years overall experience, 2+ years SQL/Python experience, 2+ years reporting system experience", "qualificationsPreferred" : "Advanced degrees, 2+ years mobile gaming domain, Statistical background, Onboarding analysis experience, Early funnel analysis experience", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Scopely is looking for a Data Analyst to join Bingo Bash team in Bangalore on a hybrid basis! At Scopely, we care deeply about what we do and want to inspire play, every day - whether in our work environments alongside our talented colleagues, or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing and innovating the mobile games industry, connecting millions of people around the world daily. Bingo Bash is a highly international team working on the biggest video game from India to date (measured by revenue). Here you will work on a top-grossing F2P game with significant and growing daily revenues, and help create fresh content for our players.. What You’ll Do Work collaboratively with game teams to deliver actionable insights into our games to further increase user acquisition, engagement and monetization using statistical techniques & provide reports Design and implement new analytics events and queries for new game features, game events and player offers, to make sure the team gets the information they need to evaluate and improve the game Proactively perform a wide range of analyses to identify/analyze/interpret trends, issues, and opportunities across games and perform competitor analysis Answer business-related questions & generate business reports through exploratory data analyses and ad-hoc reporting Design and implement advanced statistical testing for specific problem-solving needs(e. g. A/B testing) What We’re Looking For B.Tech/BS in Computer Science, Statistics, Math, Physics or other quantitative disciplines 2+ years of overall experience in a data analyst, financial analyst, scientist or similar role performing quantitative, statistical or financial analysis 2+ years’ experience using SQL/Python, including complex queries from multiple data sources 2+ years’ experience creating reports using Tableau/Looker or a similar reporting system Experience creating, operating and analyzing multiple simultaneous A/B tests Excellent analytical and problem-solving skills, including forecasting and performance marketing analysis Strong communication and presentation skills, including extensive use of chart and table tools Passion for speed and large data sets Bonus Points Demonstrates openness to using AI-enabled tools to improve analytical workflows, accelerate insight generation, and support high-quality data-driven decision-making. Advanced degrees a plus 2+ years within the mobile gaming domain Strong statistical background Experience with R, SAS, SPSS, Matlab or other statistical modeling packages Had experience of onboarding/early funnel analysis At Scopely, we create games for everyone - and want to ensure that the people behind our games reflect that! We are committed to creating a diverse, supportive work environment where everyone is treated with respect. We are committed to providing equal employmentopportunities and welcome individuals from all backgrounds to join us & embrace the Adventure! About Scopely Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play. Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U. S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Niantic games businesses — Scopely consistently delivers experiences players love today and return to for years to come. Recognized multiple times as one of the \"100 Most Influential Companies in the World\" by TIME magazine and one of Fast Company's \"World's Most Innovative Companies\" and “Best Workplaces for Innovators,” Scopely believes that video games can be a force for good — creating meaningful connections, vibrant communities, and making life better through play. Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit: https://www.scopely.com/. Notice to Candidates: Scopely will never request payment or financial information during the application or hiring process. Please apply only through our official website and verify that all Talent Partner communications come from an email address ending in @scopely.com. Should you have any questions or encounter any fraudulent requests/emails/websites, please immediately contact recruiting@scopely.com. Our job applicant privacy policies are available here: California Privacy Notice and EEA/UK Privacy Notice. Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.", "summaryDescription" : "Data Analyst at Scopely. Deliver actionable insights. Increase user acquisition", "postedDate" : "2026-06-15T23:24:38.409", "createdAt" : "2026-06-15T23:24:38.409", "lastUpdated" : "2026-06-16T09:04:04.324", "ingestTimestamp" : "2026-06-15T23:24:38.409", "mongoId" : "6a305a87f292fd229cf52328", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Quantitative analysis", "Statistical analysis", "Financial analysis", "Complex queries", "A/B testing", "Performance marketing analysis", "Forecasting", "Mobile gaming", "Tableau", "Looker" ], "skillCount" : 10, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Junior", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Gaming", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c8c2374d8ee00a0974a68", "title" : "Product Manager (Dashboard)", "company" : "SpotOn", "industry" : "Product", "salary" : { "min" : 150000.0, "max" : 185000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "Chicago, IL", "locations" : [ "Chicago, IL", "New York, NY", "Austin, TX", "Royal Oak, MI" ], "timestamp" : "2026-06-15T03:27:04.666", "fingerprint" : "24400bf6ea6685b6452c09ddf12f1417a5f7a55de508fd894da06957bf3ec44c", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/spoton/20030d9c-09f3-4833-8832-34f89ae36ab1/application", "externalId" : "20030d9c-09f3-4833-8832-34f89ae36ab1", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Chicago", "state" : "Illinois", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "41.8755616,-87.6244212" } ], "locationText" : "Chicago, Illinois, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "professionalSkills" : [ "Product strategy", "Product roadmap", "Product design", "Information architecture", "Interaction patterns", "Personalization", "Monetization surfaces" ], "hardSkillsList" : [ "Product development lifecycle", "API understanding", "Systems architecture" ], "hardSkills" : [ { "name" : "Product development lifecycle", "level" : "intermediate" }, { "name" : "API understanding", "level" : "intermediate" }, { "name" : "Systems architecture", "level" : "intermediate" } ], "majorSkills" : "Product management, Restaurant industry, Merchant dashboard", "majorSkillsList" : [ "Product management", "Restaurant industry", "Merchant dashboard" ], "coreResponsibilities" : "Define product strategy, Own product roadmap, Make data-informed trade-offs, Bring innovative mindset, Challenge assumptions, Solve customer problems, Partner with cross-functional teams, Gather input, Align priorities, Deliver impactful solutions, Analyze market trends, Analyze customer feedback, Analyze competitive offerings, Analyze emerging technologies, Identify opportunities, Drive differentiation, Drive sustained growth, Lead experimentation cycle, Lead learning cycle, Lead iteration cycle, Use insights, Use data, Guide product decisions, Cultivate stakeholder relationships, Cultivate partner relationships, Act as product advocate, Act as voice of customer, Collaborate with stakeholders, Create product positioning", "teamCollaboration" : "Cross-functional teams; Engineering; Design; Marketing; Data Science; GTM teams; Ops teams", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "Restaurant software; Hospitality software", "domainList" : [ "restaurant-software", "hospitality-software" ], "domainSpecificKnowledge" : [ "Restaurant software", "Hospitality software" ], "communicationSkills" : "Articulate product vision; Articulate rationale; Articulate tradeoffs", "continuousLearning" : "Tuition reimbursement", "innovationCreativity" : "Innovative mindset; Bold ways to solve problems", "problemSolvingSkills" : "Data-informed decisions; Customer needs understanding", "qualificationsBasic" : "4+ years product management experience, Technically fluent, Metrics-driven work style, Customer empathy, Decision making with imperfect information, Lead without authority, Manage chaos ambiguity complexity", "qualificationsPreferred" : "Restaurant or hospitality software experience, Hands-on restaurant experience", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "About SpotOn We’re not just building restaurant tech, we’re giving independent restaurants the tools to compete and win. From our award-winning point-of-sale to AI-powered profit tools, everything we do helps operators boost profit, work smarter, and keep their best people. And every solution is backed by real humans who actually give a sh*t about helping restaurants succeed. - Named the #1 Restaurant POS by G2 (Fall 2025), based on ratings from real users - Rated the top-rated point-of-sale (POS) for restaurants, bars, retail, and small businesses by Capterra users - Awarded Great Places to Work and Built In’s Best Workplaces for multiple years running We move fast, care hard, and fight for independent restaurant operators to do what they love, and love doing it. If you’re looking to make an impact with heart and hustle, SpotOn is the place for you. Dashboard Product Manager We’re looking for an experienced Product Manager who’s passionate about the restaurant industry and motivated to build innovative, high-impact products for the 15 million people who live and work in it. This role owns the Merchant Dashboard—the central control center where restaurant operators manage their business within SpotOn. You will define how merchants navigate, configure, monitor, and grow their business across the software suite. The Dashboard is the primary entry point into the ecosystem, surfacing settings, reports, alerts, insights, and growth opportunities. This PM will shape the information architecture, interaction patterns, personalization, and monetization surfaces that power daily operator workflows. You’ll collaborate closely with Engineering, Design, Marketing, Data Science, and GTM teams to turn that vision into reality. You will: - Be an integral part of defining the product strategy for SpotOn restaurant software suite. - Own and manage the product roadmap—making thoughtful, data-informed trade-offs based on customer needs, market dynamics, and business priorities. - Bring an innovative mindset to product design and vision, challenging assumptions and looking for bold ways to solve customer problems. - Partner closely with cross-functional teams—including Engineering, Design, Marketing, Data Science, Ops and GTM—to gather input, align priorities, and deliver impactful solutions. - Analyze market trends, customer feedback, competitive offerings, and emerging technologies to identify opportunities that drive differentiation and sustained growth. - Lead a continuous cycle of experimentation, learning, and iteration, using insights and data to guide product decisions. - Cultivate strong relationships with internal stakeholders and external partners, acting as the product’s advocate and voice of the customer. - Collaborate with other stakeholders, such as product marketing, on the creation of positioning for your products. Qualifications: - 4+ years of relevant product management experience or equivalent, preferably with restaurant or hospitality software - Deep understanding of the product development lifecycle, with a proven ability to deliver intuitive, high-quality products that scale across multiple platforms - Technically fluent—you can engage effectively with engineers, understand APIs and systems architecture at a high level, and are comfortable discussing trade-offs in implementation. - A metrics-driven work style that leverages data to make informed decisions. - Exceptional communication skills, with the ability to clearly articulate product vision, rationale, and tradeoffs to cross-functional teams and stakeholders. - Ability to put yourself in the customer’s shoes to understand their needs and how they interact with our products. - Ability to make decisions with imperfect information, know how to lead without authority, and be comfortable managing chaos, ambiguity, and complexity. - Hands-on restaurant or hospitality experience (e.g., working in a restaurant, bar, or cafe) is a significant plus Hybrid-3 days a week in office Compensation: - Our base pay range starts at $150,000 -$185,000 for this role - Please note the salary range listed is just one component of a competitive compensation package which includes a company stock plan - Offers will be reflective of the candidate’s location and experience. Benefits: At SpotOn, we put people above everything else. We’re known for our innovative software and technology solutions, but we stand out because of the hard-working humans behind the tech. We can’t take care of our clients without taking care of our employees first, and that’s why we invest in you with a competitive benefits package which includes: - Medical, Dental and Vision Insurance - 401k with company match - RSUs - Paid vacation, 10 company holidays, sick time, and volunteer time off - Employee Resource Groups to build community and inclusion at work - Monthly cell phone and internet stipend - Tuition reimbursement for up to $2,000 per calendar year to assist with your professional development We will never ask candidates to pay fees, purchase equipment, or share sensitive personal or financial information during the hiring process. All legitimate communication from our recruiting team will come from an official company email address (@spoton.com http://spoton.com). If something seems suspicious, please contact us at careers@spoton.com. SpotOn is an equal employment opportunity employer. Qualified candidates are considered for employment without regard to race, religion, gender, gender identity, sexual orientation, national origin, age, military or veteran status, disability, or any other characteristic protected by applicable law. Work authorization in the U.S. is required. Visa sponsorship is not available for this role. SpotOn is an E-Verify company.", "summaryDescription" : "Product Manager (Dashboard) at SpotOn. Skills: Product management, Restaurant industry, Merchant dashboard. Define product strategy. Own product roadmap", "createdAt" : "2026-06-13T22:12:05.516", "lastUpdated" : "2026-06-15T03:27:04.666", "ingestTimestamp" : "2026-06-13T22:12:05.516", "mongoId" : "6a2c8c2374d8ee00a0974a68", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 150000, "salaryAnnualMax" : 185000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Product development lifecycle", "API understanding", "Systems architecture", "Product management", "Restaurant industry", "Merchant dashboard", "Product strategy", "Product roadmap", "Product design", "Information architecture", "Interaction patterns", "Personalization", "Monetization surfaces", "Roadmap planning", "Restaurant software", "Hospitality software" ], "skillCount" : 16, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2ca17574d8ee00a09a595e", "title" : "Research Scientist / Engineer - Robot Learning Data", "company" : "Rhoda AI", "industry" : "Research", "salary" : { "min" : 150000.0, "max" : 220000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Research Scientist/Engineer in Mountain View, CA, adjusted for the technology industry and company size." }, "location" : "Mountain View", "locations" : [ "Mountain View" ], "timestamp" : "2026-06-16T06:44:34.831", "fingerprint" : "cfaf144154d09ab3acd70755738ce86819c813eb6c9f6157f97d3c7078075112", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/rhoda-ai/98fed52a-b6c8-42f8-a88e-f4ed24bcf57f/application", "externalId" : "98fed52a-b6c8-42f8-a88e-f4ed24bcf57f", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Mountain View", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3893889,-122.0832101" } ], "locationText" : "Mountain View, California, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Python, Machine Learning", "professionalSkills" : [ "Data collection strategy", "Data curation strategy", "Data scaling strategy", "System design" ], "hardSkillsList" : [ "Data quality metrics", "Curation pipelines", "Filtering strategies", "Synthetic data generation", "Cross-embodiment datasets" ], "hardSkills" : [ { "name" : "Data quality metrics", "level" : "intermediate" }, { "name" : "Curation pipelines", "level" : "intermediate" }, { "name" : "Filtering strategies", "level" : "intermediate" }, { "name" : "Synthetic data generation", "level" : "intermediate" }, { "name" : "Cross-embodiment datasets", "level" : "intermediate" } ], "majorSkills" : "Robot learning data, Data collection systems, Data curation pipelines", "majorSkillsList" : [ "Robot learning data", "Data collection systems", "Data curation pipelines" ], "coreResponsibilities" : "Design teleoperation systems, Implement teleoperation systems, Design demonstration collection systems, Implement demonstration collection systems, Develop data quality metrics, Develop curation pipelines, Develop filtering strategies, Research methods to augment data, Identify external robotic datasets, Source external robotic datasets, Build tooling for researchers, Collaborate with pre-training teams, Collaborate with post-training teams, Translate data needs into strategies, Measure downstream impact of data decisions", "teamCollaboration" : "Pre-training teams; Post-training teams; Robot operators; Research scientists", "domainKnowledge" : "Robotics; Robot learning; Imitation learning; Sim-to-real transfer; Cross-embodiment datasets", "domainList" : [ "robotics", "robot-learning", "imitation-learning", "sim-to-real-transfer", "cross-embodiment-datasets" ], "domainSpecificKnowledge" : [ "Robotics", "Robot learning", "Imitation learning", "Sim-to-real transfer", "Cross-embodiment datasets" ], "problemSolvingSkills" : "Root cause analysis", "outcomesObjectives" : "Improve data quality", "qualificationsBasic" : "Hands-on experience with robotic data collection, Hands-on experience with teleoperation systems, Hands-on experience with demonstration frameworks, Understanding of robot learning data usefulness, Software engineering skills for data systems, Ability to reason across hardware, pipelines, model performance, Experience with real robotic hardware", "qualificationsPreferred" : "Experience with sim-to-real transfer, Experience with synthetic data generation, Familiarity with cross-embodiment datasets, Experience with VR teleoperation, Experience with motion capture, Experience with dexterous demonstration collection, Understanding of imitation learning, PhD or research background in robotics, PhD or research background in ML", "remoteFriendly" : false, "rawDescription" : "At Rhoda AI, we’re building the next generation of generalist intelligent robots. We own the full robotics stack from high-performance hardware and robot systems to the infrastructure and state-of-the-art foundation world models that control our robots. Our robots are designed to be generalists capable of operating in complex, real-world environments and handling long-tail edge cases, made possible by our cutting edge research and end-to-end system design. We've raised over $400M and are investing aggressively in model research, infrastructure, hardware development, and manufacturing scale-up to make generalist robotics a reality. We're looking for a Research Scientist or Research Engineer to own the strategy and systems for collecting, curating, and scaling high-quality robot learning data. This role sits at the intersection of robotics, data collection, and research — your work directly determines the diversity and quality of the demonstrations our models train on. What You'll Do - Design and implement teleoperation and demonstration collection systems for high-quality robot learning data - Develop data quality metrics, curation pipelines, and filtering strategies specific to robotic interaction data - Research methods to augment real robot data with synthetic, simulated, or cross-embodiment sources - Identify and source external robotic datasets to expand training diversity across platforms and tasks - Build tooling for researchers to explore, annotate, and iterate on robotic datasets - Collaborate with pre-training and post-training teams to translate model data needs into concrete collection strategies - Measure the downstream impact of data collection decisions on model and policy performance What We're Looking For - Hands-on experience with robotic data collection, teleoperation systems, or demonstration frameworks - Understanding of what makes robot learning data useful: diversity, coverage, temporal quality, and action fidelity - Strong software engineering skills for building reliable data collection and processing systems - Ability to reason across hardware, pipelines, and model performance - Experience working with real robotic hardware in a research or industrial setting Nice to Have (But Not Required) - Experience with sim-to-real transfer and synthetic data generation for robotics - Familiarity with cross-embodiment datasets (e.g., Open X-Embodiment, DROID) - Experience with VR teleoperation, motion capture, or dexterous demonstration collection - Understanding of imitation learning and how data properties affect policy generalization - PhD or strong research background in robotics or ML Why This Role - The data you collect and curate is the direct upstream dependency for all model quality - Unique leverage: improvements to data quality compound across every training run - Work across hardware, systems, and research in a way few roles allow - Direct feedback loop with both robot operators and research scientists to continuously improve data quality", "summaryDescription" : "Research Scientist / Engineer - Robot Learning Data at Rhoda AI. Skills: Robot learning data, Data collection systems, Data curation pipelines. Design teleoperation systems. Implement teleoperation systems", "createdAt" : "2026-06-14T18:14:52.450", "lastUpdated" : "2026-06-16T06:44:34.831", "ingestTimestamp" : "2026-06-14T18:14:52.450", "mongoId" : "6a2ca17574d8ee00a09a595e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 150000, "salaryAnnualMax" : 220000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Data quality metrics", "Curation pipelines", "Filtering strategies", "Synthetic data generation", "Cross-embodiment datasets", "Robot learning data", "Data collection systems", "Data curation pipelines", "Data collection strategy", "Data curation strategy", "Data scaling strategy", "System design", "Robotics", "Robot learning", "Imitation learning", "Sim-to-real transfer" ], "skillCount" : 16, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305930f292fd229cf45a35", "title" : "Data Scientist", "company" : "Jerry.ai", "industry" : "Data", "salary" : { "min" : 130000.0, "max" : 150000.0, "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" : "2026-06-16T14:26:55.252", "fingerprint" : "6a02c7dbcaae827569f16c7f24b4f0840a6fb8d93e8d3a7a45b1e1ddcf64879c", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/Jerry.ai/432baeb4-065e-4e02-9279-7c984b0ecb2d/application", "externalId" : "432baeb4-065e-4e02-9279-7c984b0ecb2d", "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", "technicalSkills" : "SQL, Python, Jupyter Hub, GitHub", "professionalSkills" : [ "First principles thinker", "Analytical problem solving" ], "hardSkillsList" : [ "Data interpretation", "Data structuring", "Data analysis" ], "softSkillsList" : [ "Direct communicator", "Owner" ], "hardSkills" : [ { "name" : "Data interpretation", "level" : "intermediate" }, { "name" : "Data structuring", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Direct communicator" }, { "name" : "Owner" } ], "majorSkills" : "Data Science, Analytics", "majorSkillsList" : [ "Data Science", "Analytics" ], "coreResponsibilities" : "Define the right problems, Understand business question, Inform decision making, Push back if question is flawed, Define metrics, Build reports, Run analyses, Design experiments, Surface data insights, Bring recommendations to counterparts, Tell them what is happening, Tell them why, Tell them what next steps should be", "teamCollaboration" : "Embedded in business areas; Work with product; Work with growth; Work with finance; Work with operations", "domainKnowledge" : "Car ownership; Home ownership; Insurance; Driving insights; Repair marketplace", "domainList" : [ "car-ownership", "home-ownership", "insurance", "driving-insights", "repair-marketplace" ], "domainSpecificKnowledge" : [ "Car ownership", "Home ownership", "Insurance", "Driving insights", "Repair marketplace" ], "toolProficiency" : [ "Clickhouse", "Metabase", "Jupyter Hub", "GitHub" ], "communicationSkills" : "Direct communicator; Persuasive communicator; Write clearly; Speak precisely", "problemSolvingSkills" : "First principles thinker; Break ambiguous problems into clear hypotheses", "outcomesObjectives" : "Move team's key metrics; Drive impact in growth marketing; Drive impact in product development; Drive impact in AI and automation; Drive impact in strategic partnerships; Go from 5M to 50M customers; Become a $10B business", "qualificationsBasic" : "2+ 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 - 2+ 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" : "Data Scientist at Jerry.ai. Skills: Data Science, Analytics. Define the right problems. Understand business question", "createdAt" : "2026-06-16T00:31:46.640", "lastUpdated" : "2026-06-16T14:26:55.252", "ingestTimestamp" : "2026-06-16T00:31:46.640", "mongoId" : "6a305930f292fd229cf45a35", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 130000, "salaryAnnualMax" : 150000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data interpretation", "Data structuring", "Data analysis", "Direct communicator", "Owner", "Data Science", "Analytics", "First principles thinker", "Analytical problem solving", "Car ownership", "Home ownership", "Insurance", "Driving insights", "Repair marketplace", "Clickhouse", "Metabase", "Jupyter Hub", "GitHub" ], "skillCount" : 18, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305930f292fd229cf45a34", "title" : "Data Scientist", "company" : "Jerry.ai", "industry" : "Data", "salary" : { "min" : 130000.0, "max" : 150000.0, "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" : "2026-06-16T09:12:17.057", "fingerprint" : "77cd43936709d339f4079bf2faf6d76843a54ad9fe913e53979245c012454872", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/Jerry.ai/ae373b1d-425d-4a1b-b91d-e7aca9103208/application", "externalId" : "ae373b1d-425d-4a1b-b91d-e7aca9103208", "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", "technicalSkills" : "SQL, Python, Jupyter Hub, GitHub", "professionalSkills" : [ "First principles thinking", "Analytical ability" ], "hardSkillsList" : [ "Data analysis", "Experiment design", "Metrics definition" ], "softSkillsList" : [ "First principles thinker", "Direct communicator", "Owner" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Experiment design", "level" : "intermediate" }, { "name" : "Metrics definition", "level" : "intermediate" } ], "softSkills" : [ { "name" : "First principles thinker" }, { "name" : "Direct communicator" }, { "name" : "Owner" } ], "majorSkills" : "Data Science, Analytics", "majorSkillsList" : [ "Data Science", "Analytics" ], "toolProficiency" : [ "SQL", "Metabase", "Jupyter Hub", "GitHub" ], "communicationSkills" : "Persuasive communicator", "problemSolvingSkills" : "First principles thinker", "qualificationsBasic" : "2+ years of experience at a consulting firm, investment bank, or high-growth technology company, 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", "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 - 2+ 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" : "Data Scientist at Jerry.ai. Skills: Data Science, Analytics", "createdAt" : "2026-06-16T00:31:41.538", "lastUpdated" : "2026-06-16T09:12:17.057", "ingestTimestamp" : "2026-06-16T00:31:41.538", "mongoId" : "6a305930f292fd229cf45a34", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 130000, "salaryAnnualMax" : 150000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data analysis", "Experiment design", "Metrics definition", "First principles thinker", "Direct communicator", "Owner", "Data Science", "Analytics", "First principles thinking", "Analytical ability", "SQL", "Metabase", "Jupyter Hub", "GitHub" ], "skillCount" : 14, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a3050a6f292fd229cef347e", "title" : "Data Engineer", "company" : "Instil", "industry" : "Product Development", "salary" : { "min" : 45000.0, "max" : 65000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Data Engineer in Belfast, United Kingdom, adjusted for the technology industry and company size." }, "location" : "Belfast", "locations" : [ "Belfast" ], "timestamp" : "2026-06-16T10:55:30.465", "fingerprint" : "7615dbe2799f1a7009c571e01655f9f2dbd534195b9f7556b597771ee4fe33c7", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/instil/bac99487-bc3c-4e74-a35d-a75b6bfa8128/application", "externalId" : "bac99487-bc3c-4e74-a35d-a75b6bfa8128", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Belfast", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "54.5963910,-5.9301829" } ], "locationText" : "Belfast, United Kingdom", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 5, "technicalSkills" : "Python, AWS, S3, Lambda, Glue, Snowflake, JSON, Parquet", "professionalSkills" : [ "Data modeling", "Pipeline development", "Performance tuning", "Data transformation" ], "hardSkillsList" : [ "Data quality", "Reliability", "Failure handling", "Complex queries" ], "hardSkills" : [ { "name" : "Data quality", "level" : "intermediate" }, { "name" : "Reliability", "level" : "intermediate" }, { "name" : "Failure handling", "level" : "intermediate" }, { "name" : "Complex queries", "level" : "intermediate" } ], "majorSkills" : "Data engineering, Data platforms, Data pipelines", "majorSkillsList" : [ "Data engineering", "Data platforms", "Data pipelines" ], "coreResponsibilities" : "Build data platforms, Support data platforms, Work across cloud data stack, Partner with engineers, Partner with analysts, Deliver reliable data, Deliver well-modelled data, Design data pipelines, Build data pipelines, Improve data pipelines, Develop depth in data engineering practices", "teamCollaboration" : "Cross-functional teams", "projectManagementSkills" : [ "Agile" ], "domainKnowledge" : "Data warehousing; Data governance; Data security", "domainList" : [ "data-warehousing", "data-governance", "data-security" ], "domainSpecificKnowledge" : [ "Data warehousing", "Data governance", "Data security" ], "communicationSkills" : "Clear communication", "continuousLearning" : "Courses; Certifications", "problemSolvingSkills" : "Problem-solving", "qualificationsBasic" : "2-5 years commercial experience, Experience with production data, Problem-solving skills, Clear communication skills, Python for data processing, AWS data services, Designing, building, and maintaining ETL / ELT pipelines, SQL skills, Working with a cloud data warehouse, Handling semi-structured data", "qualificationsPreferred" : "Experience with data orchestration tools, Exposure to CI/CD practices, Familiarity with analytics or BI use cases, Awareness of data governance concepts, Experience working in agile teams", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "The Role We’re looking for a Data Engineer with solid commercial experience building and supporting data platforms and pipelines. You’ll work hands‑on across our cloud data stack, partnering with engineers and analysts to deliver reliable, well‑modelled data that supports analytics and downstream use cases. This role is focused on practical delivery; designing, building, and improving data pipelines, while developing depth across modern data engineering practices. Essential Skills - 2–5 years’ commercial experience in a data engineering or data‑focused software engineering role. - Experience working with production data, including considerations around data quality, reliability, and failure handling. - Strong problem‑solving skills and an ability to work effectively with incomplete or evolving requirements. - Clear communication skills and experience collaborating within cross‑functional teams. Commercial experience including a combination of the following: - Python for data processing, transformation, and pipeline development - AWS data services such as S3, Lambda, Glue (or comparable cloud services) - Designing, building, and maintaining ETL / ELT pipelines in production environments - Strong SQL skills, including complex queries and performance tuning - Working with a cloud data warehouse such as Snowflake (or similar), covering data models, pipelines, and warehouse objects - Handling semi‑structured data (e.g. JSON, Parquet) alongside structured datasets Desirable Skills - Experience with data orchestration or scheduling tools. - Exposure to CI/CD practices for data pipelines. - Familiarity with analytics or BI use cases and consumers of data. - Awareness of data governance, access control, or security concepts. - Experience working in agile, delivery‑focused teams. Why Join Instil? At Instil, we believe great work starts with happy, motivated people. That’s why we’ve built a benefits package that supports your wellbeing, growth, and life outside of work, because when you thrive, so do we. - Recognition That Matters: A discretionary annual performance bonus that rewards your impact and contribution to our success. - Flexibility Built In: Flexible working arrangements and summer hours, because life isn’t 9 to 5, and balance matters. - Financial Security: A highly competitive pension scheme with generous employer contributions, private healthcare, and life assurance for peace of mind. - Health & Wellbeing: Employee Assistance Programme, mental health support, cycle-to-work scheme, and regular social events to keep our culture vibrant. - Time to Recharge: 35 days holiday, enhanced maternity pay, and family-first policies so you can focus on what matters most. - Learning Never Stops: From courses to certifications, we’ll invest in your development so you can keep growing and shaping what’s next. - Community & Culture: Opportunities to volunteer, give back, and be part of initiatives that make Instil a truly inclusive and connected workplace. And that’s just the start, drop us a note to find out more. Company Description Instil has been delivering world-class software engineering and technology solutions for over 20 years, trusted by global brands to solve complex challenges and drive innovation. From modernising legacy systems to building cutting-edge applications, we help our clients navigate an ever-changing digital landscape with confidence and agility. We’re proud to be an award-winning employer, reflecting how our people are at the heart of everything we do: - Recognised as a Great Place to Work® for three consecutive years, and in 2024 ranked in the Top 20 Best Workplaces in the UK for medium-sized companies. - Winner of Company of the Year at the Digital DNA Awards 2022, celebrating excellence in Northern Ireland’s tech sector. Driven by a love for technology and a commitment to excellence, we bring together people who want to make a difference. We’ll support your journey, because your success is part of ours. #LI-PR1 #InstilCareers", "summaryDescription" : "Data Engineer at Instil. Skills: Data engineering, Data platforms, Data pipelines. Build data platforms. Support data platforms", "createdAt" : "2026-06-16T00:31:40.011", "lastUpdated" : "2026-06-16T10:55:30.465", "ingestTimestamp" : "2026-06-16T00:31:40.011", "mongoId" : "6a3050a6f292fd229cef347e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Data quality", "Reliability", "Failure handling", "Complex queries", "Data engineering", "Data platforms", "Data pipelines", "Data modeling", "Pipeline development", "Performance tuning", "Data transformation", "Agile", "Data warehousing", "Data governance", "Data security" ], "skillCount" : 15, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305099f292fd229cef29d0", "title" : "Data Engineer", "company" : "Neara", "industry" : "Customer Success", "salary" : { "min" : 45000.0, "max" : 65000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Data Engineer in Vilnius, Lithuania, adjusted for the Climate Tech industry." }, "location" : "Vilnius", "locations" : [ "Vilnius" ], "timestamp" : "2026-06-16T08:45:08.129", "fingerprint" : "159370acaf6a63a06ee69f6b7e133c73032db269ebf22a644350ae00192a2484", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/neara/59781d7c-b0f4-491f-bc80-972fc11959e2/application", "externalId" : "59781d7c-b0f4-491f-bc80-972fc11959e2", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Vilnius", "country" : "Lithuania", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "54.6870458,25.2829111" } ], "locationText" : "Vilnius, Lithuania", "employmentType" : "FULL_TIME", "technicalSkills" : "SQL, Python, GIS, LiDAR", "professionalSkills" : [ "Data manipulation", "Configuration management", "Quality assurance", "Reporting", "Dashboarding" ], "hardSkillsList" : [ "Geospatial data", "Asset data", "Physics simulation" ], "hardSkills" : [ { "name" : "Geospatial data", "level" : "intermediate" }, { "name" : "Asset data", "level" : "intermediate" }, { "name" : "Physics simulation", "level" : "intermediate" } ], "majorSkills" : "Data Engineering, Digital twins, Machine learning", "majorSkillsList" : [ "Data Engineering", "Digital twins", "Machine learning" ], "coreResponsibilities" : "Contribute to end-to-end deployment, Ingest and manipulate massive datasets, Configure models using schema language, Ensure engineering grade accuracy, Perform rigorous QA/QC, Build custom reports, Build custom dashboards, Provide feedback on process improvements, Provide feedback on tool improvements", "teamCollaboration" : "Deployment Team; Product; Engineering", "domainKnowledge" : "Electricity grids; Digital twin technology; Power grids; Energy future", "domainList" : [ "electricity-grids", "digital-twin-technology", "power-grids", "energy-future" ], "domainSpecificKnowledge" : [ "Electricity grids", "Digital twin technology", "Power grids", "Energy future" ], "communicationSkills" : "Articulate technical configurations; Technical documentation", "documentationSkills" : "User manuals", "continuousLearning" : "Gain expert-level proficiency; Exposure to cutting edge technology", "innovationCreativity" : "Influence product roadmap; Automate deployment processes", "problemSolvingSkills" : "Break down complex data discrepancies; Systematically reconfigure models", "qualificationsBasic" : "Proven experience as Data Engineer, Proficiency in SQL, Python, or similar, Ability to learn new schema language, Excellent written communication skills, Fluent English", "qualificationsPreferred" : "Background in engineering, mathematics, software engineering, or computer science, Familiarity with GIS, CAD geoprocessing, or LiDAR data", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "Imagine having the power to stress-test an entire power grid against a hurricane or thunderstorm before the clouds even gather. That is the reality we are creating at Neara. We use advanced machine learning to create engineering-grade, physics enabled digital twins of electricity grids across four continents, this helps asset owners understand their biggest challenges and bring the most viable solutions to life across millions of kilometres of infrastructure. By simulating extreme weather and structural stress at a network-wide scale, we empower the world’s largest utilities to pinpoint risks, optimise investments and build a more resilient global energy future. Our team is a collection of brilliant minds who are fanatical about making a tangible difference in the real world, utilising AI and machine learning to accelerate everything from data classification to complex scenario analysis. We have built a special culture where innovation thrives because everyone owns the mission and we need smart, creative people to help us scale this impact to every corner of the globe. Data Engineer As a Data Engineer, you will transform raw utility and geospatial data into high accuracy digital twin models of electricity networks. You will work with GIS, LiDAR, and asset data sets, configure models using Neara’s schema language, and ensure engineering grade accuracy. You will join the Deployment Team responsible for delivering the Neara platform to utility customers worldwide. What You Will Do: - Contribute to the end-to-end deployment of the Neara platform for utility customers worldwide. - Ingest and manipulate massive datasets (LiDAR, GIS, and asset databases) using Neara’s schema language and configuration framework. - Perform rigorous QA/QC to ensure the digital twin accurately reflects real-world physics and customer specifications. - Build custom reports and dashboards within the platform to drive actionable insights for utility engineers. - Work closely with Product and Engineering to provide feedback on process and tool improvements to speed up future deployments. Who You Are: - Proven experience as a Data Engineer, Implementation Engineer, Integration Engineer, Software Engineer, or similar role. - Proficiency in at least one major language (such as SQL, Python, or similar) and a demonstrated ability to learn a new language. You should be comfortable learning and mastering a new schema language to manipulate data and build reports. - Excellent written communication skills with experience contributing to internal knowledge bases and external user manuals. Ability to articulate technical configurations clearly to diverse audiences in fluent English. - A background in engineering, mathematics, software engineering, computer science, or a related field is preferred. Familiarity with GIS, CAD geoprocessing, or LiDAR data can be beneficial to accelerate the learning curve for this platform. - The ability to break down complex data discrepancies and systematically reconfigure models to ensure 100% accuracy. What We Offer: - We offer a competitive salary and private health insurance, 20 days of holiday plus a \"birthday leave\" day, and a flexible, team-driven environment with the option to work remotely or hybrid from our offices in Vilnius (complete with office snacks). - Your work directly impacts the safety and reliability of global power grids, helping utilities prevent wildfires and prepare for climate-driven weather events. - You’ll gain expert-level proficiency in our engineering-grade 3D modeling environment and exposure to the cutting edge of Digital Twin technology. - We are scaling fast. As a Data Engineer, you’ll be at the forefront of our delivery engine, with opportunities to influence our product roadmap and automate our core deployment processes. #LI-NT1", "summaryDescription" : "Data Engineer at Neara. Skills: Data Engineering, Digital twins, Machine learning. Contribute to end-to-end deployment. Ingest and manipulate massive datasets", "createdAt" : "2026-06-16T00:27:05.753", "lastUpdated" : "2026-06-16T08:45:08.129", "ingestTimestamp" : "2026-06-16T00:27:05.753", "mongoId" : "6a305099f292fd229cef29d0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Geospatial data", "Asset data", "Physics simulation", "Data Engineering", "Digital twins", "Machine learning", "Data manipulation", "Configuration management", "Quality assurance", "Reporting", "Dashboarding", "Electricity grids", "Digital twin technology", "Power grids", "Energy future" ], "skillCount" : 15, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Climate Tech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305098f292fd229cef28f5", "title" : "Data Scientist", "company" : "Jerry.ai", "industry" : "Data", "salary" : { "min" : 130000.0, "max" : 150000.0, "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" : "2026-06-16T09:28:19.259", "fingerprint" : "73c53329495a53c49c4a8b2eb13baf4d1a516ee6ee69bdd47dbae8fde2a3409f", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/jerry.ai/432baeb4-065e-4e02-9279-7c984b0ecb2d/application", "externalId" : "432baeb4-065e-4e02-9279-7c984b0ecb2d", "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", "technicalSkills" : "SQL, Python, Jupyter Hub, GitHub", "professionalSkills" : [ "First principles thinking", "Analytical problem solving" ], "hardSkillsList" : [ "Data interpretation", "Data structuring", "Data analysis" ], "hardSkills" : [ { "name" : "Data interpretation", "level" : "intermediate" }, { "name" : "Data structuring", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" } ], "majorSkills" : "Data Science, Analytics", "majorSkillsList" : [ "Data Science", "Analytics" ], "coreResponsibilities" : "Define the right problems, Understand business question, Inform decision making, Push back if question is flawed, Define metrics, Build reports, Run analyses, Design experiments, Surface data insights, Move team's key metrics, Bring recommendations to counterparts, Tell them what is happening, Tell them why it is happening, Tell them what next steps should be", "teamCollaboration" : "Embedded in business areas; Work with product counterparts; Work with growth counterparts; Work with finance counterparts; Work with operations counterparts", "domainKnowledge" : "Car insurance; Driving insights; Repair marketplace; Home insurance; Motorcycle insurance; RV insurance", "domainList" : [ "car-insurance", "driving-insights", "repair-marketplace", "home-insurance", "motorcycle-insurance", "rv-insurance" ], "domainSpecificKnowledge" : [ "Car insurance", "Driving insights", "Repair marketplace", "Home insurance", "Motorcycle insurance", "RV insurance" ], "toolProficiency" : [ "Clickhouse", "Metabase", "Jupyter Hub", "GitHub" ], "communicationSkills" : "Direct communication; Clear writing; Precise speaking", "problemSolvingSkills" : "First principles thinker; Break ambiguous problems into clear hypotheses", "outcomesObjectives" : "Move from 5M to 50M customers; Become a $10B business", "qualificationsBasic" : "2+ 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 - 2+ 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" : "Data Scientist at Jerry.ai. Skills: Data Science, Analytics. Define the right problems. Understand business question", "createdAt" : "2026-06-16T00:27:04.331", "lastUpdated" : "2026-06-16T09:28:19.259", "ingestTimestamp" : "2026-06-16T00:27:04.331", "mongoId" : "6a305098f292fd229cef28f5", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 130000, "salaryAnnualMax" : 150000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data interpretation", "Data structuring", "Data analysis", "Data Science", "Analytics", "First principles thinking", "Analytical problem solving", "Car insurance", "Driving insights", "Repair marketplace", "Home insurance", "Motorcycle insurance", "RV insurance", "Clickhouse", "Metabase", "Jupyter Hub", "GitHub" ], "skillCount" : 17, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305098f292fd229cef28f4", "title" : "Data Scientist", "company" : "Jerry.ai", "industry" : "Data", "salary" : { "min" : 130000.0, "max" : 150000.0, "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" : "2026-06-16T15:08:58.331", "fingerprint" : "8611f42ea1ac2b47ede8f5ecc62b74b31d0e5d6a179f4ede8f2e10269726e343", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/jerry.ai/ae373b1d-425d-4a1b-b91d-e7aca9103208/application", "externalId" : "ae373b1d-425d-4a1b-b91d-e7aca9103208", "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", "technicalSkills" : "SQL, Python, Jupyter Hub, GitHub", "professionalSkills" : [ "First principles thinking", "Analytical ability" ], "hardSkillsList" : [ "Data analysis", "Experiment design", "Metrics definition" ], "softSkillsList" : [ "First principles thinker", "Direct communicator", "Owner" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Experiment design", "level" : "intermediate" }, { "name" : "Metrics definition", "level" : "intermediate" } ], "softSkills" : [ { "name" : "First principles thinker" }, { "name" : "Direct communicator" }, { "name" : "Owner" } ], "majorSkills" : "Data Science, Analytics", "majorSkillsList" : [ "Data Science", "Analytics" ], "toolProficiency" : [ "SQL", "Metabase", "Python", "Jupyter Hub", "GitHub" ], "communicationSkills" : "Persuasive communicator; Influence decisions", "problemSolvingSkills" : "First principles thinker; Break ambiguous problems into clear hypotheses", "qualificationsBasic" : "2+ years of experience at a consulting firm, investment bank, or high-growth technology company, 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", "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 - 2+ 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" : "Data Scientist at Jerry.ai. Skills: Data Science, Analytics", "createdAt" : "2026-06-16T00:24:48.701", "lastUpdated" : "2026-06-16T15:08:58.331", "ingestTimestamp" : "2026-06-16T00:24:48.701", "mongoId" : "6a305098f292fd229cef28f4", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 130000, "salaryAnnualMax" : 150000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data analysis", "Experiment design", "Metrics definition", "First principles thinker", "Direct communicator", "Owner", "Data Science", "Analytics", "First principles thinking", "Analytical ability", "SQL", "Metabase", "Python", "Jupyter Hub", "GitHub" ], "skillCount" : 15, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c6af374d8ee00a090f628", "title" : "Data Quality Data Analyst", "company" : "Capco", "industry" : "Consulting", "salary" : { "min" : 120000.0, "max" : 180000.0, "currency" : "PLN", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Mid-level Data Quality Data Analyst in Krakow, Poland, with adjustments for the consulting industry and company size." }, "location" : "Poland", "locations" : [ "Poland" ], "timestamp" : "2026-06-16T00:55:31.423", "fingerprint" : "5c743ab6cde29550097dbad4c3616808091c0f263e1d975fe2d8a6eeb23d1234", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/capco/jobs/8002462", "externalId" : "8002462", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Krakow", "country" : "Poland", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "50.0619474,19.9368564" }, { "city" : "Warsaw", "country" : "Poland", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "52.2333742,21.0711489" } ], "locationText" : "Krakow, Poland; Warsaw, Poland", "employmentType" : "CONTRACT", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "SQL, Python", "professionalSkills" : [ "Data manipulation", "Root cause analysis" ], "hardSkillsList" : [ "Data Quality", "Data analysis", "Data extraction", "Data transformation", "Data joining", "Data manipulation", "Data validation", "Data reconciliation" ], "hardSkills" : [ { "name" : "Data Quality", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data extraction", "level" : "intermediate" }, { "name" : "Data transformation", "level" : "intermediate" }, { "name" : "Data joining", "level" : "intermediate" }, { "name" : "Data manipulation", "level" : "intermediate" }, { "name" : "Data validation", "level" : "intermediate" }, { "name" : "Data reconciliation", "level" : "intermediate" } ], "majorSkills" : "Data Quality, Data analysis, SQL", "majorSkillsList" : [ "Data Quality", "Data analysis", "SQL" ], "coreResponsibilities" : "Support Data Quality initiatives, Analyze datasets, Understand datasets, Assess datasets, Identify data quality issues, Identify opportunities for improvement, Perform data extraction, Perform data transformation, Perform data joining, Perform data manipulation, Contribute to DRR decommissioning process, Ensure data integrity, Ensure data continuity, Collaborate with business stakeholders, Collaborate with data engineers, Collaborate with technology teams, Define data solutions, Implement data solutions, Conduct data validation, Conduct data reconciliation, Conduct root cause analysis, Document data flows, Document data quality controls, Document analytical findings", "teamCollaboration" : "Collaborate with business stakeholders; Collaborate with data engineers; Collaborate with technology teams", "domainKnowledge" : "Financial services; Banking; Credit; Credit domain", "domainList" : [ "financial-services", "banking", "credit", "credit-domain" ], "domainSpecificKnowledge" : [ "Financial services", "Banking", "Credit", "Credit domain" ], "toolProficiency" : [ "Jupyter Notebooks" ], "communicationSkills" : "Communicate technical findings", "documentationSkills" : "Document data flows; Document data quality controls; Document analytical findings", "problemSolvingSkills" : "Analytical capabilities; Problem-solving capabilities; Root cause analysis", "qualificationsBasic" : "Experience in Data Quality, Data analysis roles, Understand, join, transform, and manipulate datasets, Advanced SQL, Data querying skills, Python, Jupyter Notebooks, Analytical and problem-solving capabilities, Ability to communicate technical findings", "qualificationsPreferred" : "Experience with Prophecy, Data migration experience, Application decommissioning experience, System retirement projects experience, Knowledge of data governance, Data quality frameworks knowledge", "workSiteFlexibility" : "Flexible", "rawDescription" : "Data Analyst – Data Quality (Financial services/Credit) Location: Krakow or Warsaw preferred Capco a Wipro Company Capco a Wipro Company is a leading global technology and management consultancy, dedicated to driving digital transformation across the financial services industry. Our passion lies in helping our clients navigate the complexities of the financial world, and our expertise spans banking and payments, capital markets, wealth, and asset management. We pride ourselves on maintaining a nimble, agile, and entrepreneurial culture, and we are committed to growing our business by hiring top talent. Role Overview We are seeking an experienced Data Analyst with strong Data Quality (DQ) expertise to join us. The successful candidate will initially focus on data quality initiatives and will gradually transition into supporting the DRR decommissioning (demise) process. This role requires strong analytical skills, hands-on data manipulation experience, and the ability to work with complex datasets across multiple sources. Key Responsibilities Support Data Quality (DQ) initiatives within the Credit domain. Analyze, understand, and assess large and complex datasets to identify data quality issues and opportunities for improvement. Perform data extraction, transformation, joining, and manipulation activities to support business and regulatory requirements. Contribute to the DRR decommissioning process, ensuring data integrity and continuity throughout the transition. Collaborate with business stakeholders, data engineers, and technology teams to define and implement data solutions. Conduct data validation, reconciliation, and root cause analysis activities. Document data flows, data quality controls, and analytical findings. Required Skills & Experience Strong experience in Data Quality and data analysis roles. Proven ability to understand, join, transform, and manipulate datasets from multiple sources. Advanced SQL and data querying skills. Hands-on experience with Python, particularly using Jupyter Notebooks for data analysis and exploration. Strong analytical and problem-solving capabilities. Experience working within financial services, banking, or credit-related domains is highly desirable. Ability to communicate technical findings effectively to both technical and non-technical stakeholders. Preferred Skills Experience with Prophecy would be advantageous. Exposure to data migration, application decommissioning, or system retirement projects. Knowledge of data governance and data quality frameworks. Candidate Profile Strong Data Quality practitioner with a data-focused mindset. Comfortable working independently and managing complex analytical tasks. Detail-oriented with a strong focus on data accuracy and integrity. Proactive, collaborative, and adaptable in a changing project environment. We offer a flexible collaboration model based on a B2B contract, with the opportunity to work on diverse projects. Recruitment Process: HR Interview Hiring Manager Technical Interview Client Interview Feedback and offer We have been informed of several recruitment scams targeting the public. We strongly advise you to verify identities before engaging in recruitment related communication. All official Capco communication will be conducted via a Capco recruiter. #LI-Hybrid", "summaryDescription" : "Data Quality Data Analyst at Capco. Skills: Data Quality, Data analysis, SQL. Support Data Quality initiatives. Analyze datasets", "postedDate" : "2026-06-14T20:08:06.986", "createdAt" : "2026-06-14T20:08:06.986", "lastUpdated" : "2026-06-16T00:55:31.423", "ingestTimestamp" : "2026-06-14T20:08:06.986", "mongoId" : "6a2c6af374d8ee00a090f628", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Data Quality", "Data analysis", "Data extraction", "Data transformation", "Data joining", "Data manipulation", "Data validation", "Data reconciliation", "SQL", "Root cause analysis", "Financial services", "Banking", "Credit", "Credit domain", "Jupyter Notebooks" ], "skillCount" : 15, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Consulting", "llmIndustryConfidence" : 0.95 }, { "id" : "6a306724f292fd229cfb9ac8", "title" : "Data Scientist", "company" : "Girl Effect", "industry" : "Media", "salary" : { "min" : 1500000.0, "max" : 2500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Data Scientist in India, adjusted for the Media industry." }, "location" : "Kenya", "locations" : [ "Kenya" ], "timestamp" : "2026-06-16T08:37:15.466", "fingerprint" : "c46e61677bac543d20819ecabf49b31946bb6c3f8a43453fa8b272ca1d77bab4", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/girleffect/jobs/8592190002", "externalId" : "8592190002", "industryFunction" : { }, "structuredLocations" : [ { "country" : "kenya", "source" : "country_code_strategy", "geo" : "-0.0236,37.9062" } ], "locationText" : "Kenya", "coreResponsibilities" : "Scale chatbot solutions, Provide personalized experiences, Augment experiences with AI", "domainKnowledge" : "Sex health; Mental wellbeing; Livelihoods", "domainList" : [ "sex-health", "mental-wellbeing", "livelihoods" ], "domainSpecificKnowledge" : [ "Sex health", "Mental wellbeing", "Livelihoods" ], "outcomesObjectives" : "Reach 30 million girls by 2030", "rawDescription" : "Who We Are: Girl Effect builds media and tech that adolescent girls in Africa and Asia want, trust, and need. Reaching over 50 million girls, the organization provides safe spaces to access crucial facts about health, education, and relationships, empowering them to redefine what is possible. We operate three chatbots in India, South Africa and Kenya which have reached nearly 3 million users, providing answers at scale to the most pressing questions related to sex health, mental wellbeing and livelihoods, whilst directing users to real world services. In the next 5 years, we intend to scale even further. By 2030, we believe we can reach 30 million girls through our chatbot solutions, providing highly personalised experiences augmented by Artificial Intelligence. The Tech all final shortlisting and hiring decisions are made by human recruiters. Your data is never used to train public AI models, is kept strictly confidential within our secure systems, and is processed in accordance with our full Data Privacy Policy and the GDPR. Application closing date: 29th June 2026", "summaryDescription" : "Data Scientist at Girl Effect. Scale chatbot solutions. Provide personalized experiences", "postedDate" : "2026-06-15T23:26:56.239", "createdAt" : "2026-06-15T23:26:56.239", "lastUpdated" : "2026-06-16T08:37:15.466", "ingestTimestamp" : "2026-06-15T23:26:56.239", "mongoId" : "6a306724f292fd229cfb9ac8", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Sex health", "Mental wellbeing", "Livelihoods" ], "skillCount" : 3, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Media", "llmIndustryConfidence" : 0.0 } ], "status" : 200, "message" : "research assistant data analysis project data management dashboard development jobs", "metadata" : { "title" : "research assistant data analysis project data management dashboard development" }, "pagination" : { "page" : 0, "limit" : 50, "totalCount" : 170354, "totalPages" : 3408, "hasNext" : true, "hasPrevious" : false } }

Remote Research Assistant Data Analysis Project Data Management Dashboard Development Jobs

Top Skills

Sales Data Analysis

Senior Staff Research Data Scientist, AI Data

Product Manager (Dashboard)

Assistant Project Manager - Data Centers

(Junior) Dashboard Developer

Contingent Research Data Analyst, HEOR

Contingent Research Data Analyst, HEOR

Research Engineer - Data Infrastructure

Data Scientist [Integrated Risk Management]

Assistant Data Center Project Manager

Software Engineer in Data Management

Software Engineer in Data Management

Senior Staff Research Data Scientist, DevIE

Data Assistant

Data Center Project Assistant, Critical Project Implementation

Data Center Project Manager

Data Engineer, Data Platform Management

Catastrophe & Exposure Management Expert for AI Research Project

Data Engineer II, Intelligence Data Service, Project Kuiper

Research Analyst (Non-Data)

Solution Architect - Data Management

Director, Data Management and Systems

Manager, Data Management & Visualization

Manager, Data Management & Visualization

Data Center Project Manager

Data Center Project Analyst

Manager/Senior Manager, Data Management

Senior Research Data Scientist, AI Developer Tools

Data Reporter, Senior Data Reporter

Project Development Project Manager

Project Development Project Manager

People Research Data Scientist, AI Fairness & Bias

People Research Data Scientist, AI Fairness & Bias

Data Analysis and Quality Assurance Director

Data Analyst

Manager, Data Management & Visualization

Data Scientist

Manager, Data Management & Visualization

Data Center Project Manager

Data Analyst

Product Manager (Dashboard)

Research Scientist / Engineer - Robot Learning Data

Data Scientist

Data Scientist

Data Engineer

Data Engineer

Data Scientist

Data Scientist

Data Quality Data Analyst

Data Scientist

Related Searches

All Research Assistant Data Analysis Project Data Management Dashboard Development Jobs by City

More Remote Jobs

Common Questions