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OpenAI
OpenAI
201 – 500 Employees
H1B Visa SponsorArtificial IntelligenceEnterpriseSaaS
OpenAI is an artificial intelligence research and technology company building advanced AI systems with a focus on safety and responsible development. Its products include ChatGPT, which supports everyday and complex professional tasks, and an API platform that enables businesses and developers to integrate AI models into their own applications. Operating across artificial intelligence, SaaS, and enterprise technology, OpenAI combines research, product development, and efforts to improve how AI systems are governed and used.
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Product Data Scientist, Youth and Learning

Guide product strategy and experimentation for OpenAI’s youth, family, and learning experiences. Measure adoption, retention, and learning outcomes to understand lasting user value.

USUnited StatesCACalifornia
$401,000 – $510,000 / year
HybridFull-timeMiddleSeniorEnglish RequiredData Scientist
PythonSQL

Description

  • Lead product data science for younger audiences, family experiences, and learning and education.
  • Inform investment, product development, and how success is measured.
  • Translate audience needs and evidence into product strategy and promising use cases.
  • Connect early product discovery with adoption, retention, and lasting user value.
  • Collaborate with Chat Product, Growth, Foundations, SafeSys, and other teams.
  • Assess unmet needs and growth opportunities across audiences, use cases, and experiences.
  • Prioritize investments by user value, reach, evidence, and effort.
  • Build audience-specific measures for activation, task success, learning progress, satisfaction, and sustained retention.
  • Study user journeys, funnels, and cohorts to find sources of value, friction, and retention.
  • Combine behavioral data, surveys, and user research to explain differences by age, family role, and learning context.
  • Design experiments and holdouts to evaluate product and model changes.
  • Use causal methods when randomized tests are impractical, accounting for seasonality, audience mix, and segment differences.
  • Recommend which products or features to build, change, expand, or discontinue, with expected impact, uncertainty, and tradeoffs.
  • Evaluate whether product decisions deliver their intended results.
  • Work with engineering on instrumentation, data quality, and consistent audience definitions.
  • Develop reusable analyses and dashboards.
  • Align teams across roadmaps on audience value, priorities, success measures, and open questions.

Requirements

  • Demonstrated ability to shape product strategy and improve user outcomes through hands-on data science.
  • Experience turning ambiguous questions into decisions and measurable results.
  • Strong SQL and Python skills.
  • Sound statistical judgment.
  • Practical experience with experimentation, causal inference, cohort analysis, and measurement design.
  • Ability to define product value, validate imperfect proxies, and distinguish short-term metric changes from lasting gains.
  • Clear communication and strong product judgment.
  • Ability to make recommendations, explain limitations, and influence cross-functional partners without formal authority.
  • Ability to set priorities independently across a broad remit.
  • Experience in consumer product growth, youth or family products, learning and education, or generative AI is helpful.
  • Experience measuring learning outcomes, combining quantitative and qualitative research, or evaluating products with value that emerges over time is helpful.

Benefits

  • Generous equity.
  • Performance-based bonuses for eligible employees.
  • Medical, dental, and vision insurance for employees and their families, with employer contributions to Health Savings Accounts.
  • Pre-tax Health FSA, Dependent Care FSA, and commuter accounts for parking and transit.
  • 401(k) retirement plan with employer match.
  • Paid parental leave of up to 24 weeks for birth parents and 20 weeks for non-birthing parents.
  • Paid medical and caregiver leave of up to 8 weeks.
  • Paid time off: flexible PTO for exempt employees and up to 15 days per year for non-exempt employees.
  • At least 13 paid company holidays.
  • Several coordinated paid office closures during the year.
  • Paid sick or safe time.
  • Mental health and wellness support.
  • Employer-paid basic life and disability coverage.
  • Annual learning and development stipend.
  • Daily meals at offices.
  • Meal delivery credits for eligible employees.
  • Relocation support for eligible employees.
  • Charitable donation matching.
  • Wellness stipends.
  • Overtime pay for non-exempt employees, in accordance with applicable laws.

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OpenAI

Senior Machine Learning Data Scientist, Consumer Forecasting

OpenAI
201 – 500 Employees
H1B Visa SponsorArtificial IntelligenceEnterpriseSaaS
USUnited StatesCACalifornia
$347,000 – $445,000 / year
HybridFull-timeSeniorLeadEnglish RequiredData Scientist
PythonPyTorchScikit-LearnSQLTensorflow

Build and operate forecasting systems that help OpenAI plan for user growth, revenue, compute demand, customer value, and profitability. The role connects machine learning research with product, finance, infrastructure, and business decisions.

Open