Tracking 100,000+ career sites
Senior Data Scientist Jobs
This list tracks 100K+ company job sources and updates hourly with senior data scientist roles across modeling, experimentation, forecasting, product analytics, decision science, and machine learning.
Openings range from senior and lead data scientists to principal data scientists, decision scientists, applied scientists, analytics directors, and data science managers. Work spans product measurement, pricing, risk, growth, operations, healthcare, finance, and other data-driven areas. The list helps separate experimentation and product-analytics positions from applied machine learning, forecasting, decision science, and data-science leadership. The clearest evidence of level usually appears in the responsibilities rather than the heading. Review the complexity of the work, autonomy, stakeholder seniority, team or program scale, and accountability for results. Then compare those expectations with the stated experience and credentials. This approach can reveal when a lead or principal opening remains hands-on, when a manager role carries substantial execution, and when a senior title implies broader organizational leadership. Use these distinctions to tailor your resume toward the leadership examples, domain decisions, and measurable outcomes most relevant to each opening.
Filter by company, location, industry, compensation, or sponsorship requirement. Review the original posting for required experience, degree expectations, technical tools, management responsibilities, and whether the role emphasizes statistical analysis, machine learning, or team leadership. Run a broad search once to learn the market's vocabulary, then refine it with the terms that recur in genuinely relevant postings. Use employer and location filters for practical constraints, and check compensation or sponsorship fields where available. Before applying, return to the source listing to confirm that availability and requirements have not changed and that the role still matches your intended work. A consistent comparison note for scope, requirements, workplace, timing, and next action makes repeated reviews faster and less subjective.
Browsing and filtering are free. With a free Simplify account, you can save relevant roles, track applications in one place, and use Copilot autofill when you choose to apply. Use notes for verified details that are not visible in the summary card.





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General MotorsPrincipal Staff Artificial Intelligence/Machine Learning Engineer - AV ML Infra$296.3k - $453.9kAustin, TX$296.3k - $453.9ktoday - today
General MotorsStaff AI/ML Engineer - Autonomy CI Platform$218.8k - $335.3kWashington$218.8k - $335.3ktoday - today
General MotorsStaff AI/Machine Learning Engineer - AV Machine Learning Infrastructure$218.8k - $335.3kAustin, TX$218.8k - $335.3ktoday - today
AppleMachine Learning Researcher - Data and ML InnovationSeattle, WANot listedtoday - today
General MotorsPrincipal Machine Learning Engineer$296.3k - $453.2kSunnyvale, CA$296.3k - $453.2ktoday - today
AZXSenior Machine Learning Engineer$140k - $220kSeattle, WA$140k - $220ktoday - today
LexisNexis Risk SolutionsDirector Data Sciences$136.1k - $252.8kNew Mexico$136.1k - $252.8ktoday - today
LexisNexis Risk SolutionsSenior Data Scientist 3$115.4k - $192.3kRaleigh, NC$115.4k - $192.3ktoday - today
Marsh & McLennanLead Data Scientist$150k - $195kBoston, MA$150k - $195ktoday - today
MetaData Science DirectorMenlo Park, CANot listedtoday - today
Boston Consulting GroupSenior Manager - Digital, Data & AI$200k - $210kChicago, IL$200k - $210ktoday - today
AnaplanPrincipal Machine Learning EngineerLondon, UKNot listedtoday - today
Boston Consulting GroupAI/ML Engineer Senior Manager$173k - $211kBoston, MA$173k - $211ktoday - today
GSKSmart Manufacturing LeadKing of Prussia, PANot listedtoday - today
PerceptiveSenior Artificial Intelligence / Machine Learning Engineer - Medical ImagingRemote in UKNot listedtoday - today
ParentSquareStaff Engineer$180k - $230kRemote in USA$180k - $230ktoday - today
GoddardSenior Machine Learning Engineer - Physical AI$140k - $165kWilmington, MA$140k - $165ktoday - today
GeicoSenior Machine Learning Engineer - AI Agent Platform$105k - $230kNew York, NY$105k - $230ktoday - today
RELXLead Data Scientist$104.9k - $174.7kRaleigh, NC$104.9k - $174.7ktoday - today
Trane TechnologiesManager AI Controls Operation$101.1k - $211.6kMontreal, Canada$101.1k - $211.6ktoday - today
Booz AllenSenior Data Scientist$77.6k - $176kSpringfield, VA$77.6k - $176ktoday - today
Expedia GroupSenior Machine Learning Scientist - CRM Marketing$173k - $242.5kSeattle, WA$173k - $242.5ktoday - today
AppleFormal Verification Engineer - AI/ML EngineerAustin, TXNot listedtoday - today
AppleMachine Learning Engineer in Foundation Models - Responsible AI and SafetyCupertino, CANot listedtoday - today
LeidosSenior Artificial Intelligence - AI - Engineer - SWE-3$107.9k - $195.1kFort Meade, MD$107.9k - $195.1ktoday - today
General MotorsAV Safety Engineering Analytics AI/ML Engineer - GpsscRemote in USANot listedtoday - today
AccentureBusiness ArchitectBengaluru, IndiaNot listedtoday - today
AccentureData Science PractitionerBhubaneswar, IndiaNot listedtoday - today
AccentureAI / ML EngineerBengaluru, IndiaNot listedtoday - today
Iberdrola GroupLead Architect - Generative AI$128.3k - $160.4kMilford, CT$128.3k - $160.4ktoday
Explore our FAQ section to learn more.
This list covers senior full-time roles in data science, applied machine learning, quantitative analysis, and clinical data science. Titles can include senior data scientist, principal data scientist, staff machine learning scientist, data science lead, and director of data science.
Data science roles often combine statistics, experimentation, analytics, modeling, and business interpretation. Machine learning roles usually emphasize model development, production systems, feature pipelines, evaluation, and applied AI delivery.
Highlight models, experiments, causal analysis, product or business decisions, measurable outcomes, data quality improvements, stakeholder influence, and examples where your analysis changed a roadmap, risk decision, forecast, or customer outcome.
Some roles prefer a master's or PhD, especially in research-heavy, machine learning, biostatistics, or quantitative domains. Many senior applied roles weigh industry impact, technical depth, communication, and product judgment heavily.
Expect statistics, experimentation, SQL or coding, modeling tradeoffs, product sense, metric design, stakeholder scenarios, and discussion of prior projects. ML-heavy roles may include system design, model evaluation, or deployment questions.
Compare data quality, decision authority, model ownership, engineering support, business impact, compensation, compute access, manager quality, and whether the team uses data science for real decisions or mainly reporting.
Senior data scientists usually own more ambiguous questions, statistical methods, modeling, experiments, and product or business decisions. Data analysts can be highly strategic too, but their work often centers more on reporting, dashboards, and descriptive analysis.