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Product Data Scientist - Youth, Families and Learning

OpenAI· Data Science
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Hybrid (San Francisco)Full-timePosted 5d ago

About the role

Product data scientist role focusing on under-18 audiences, families, and learning; shapes product strategy, measures impact, and drives growth through evidence-based decision making across youth, family, and education experiences.

Responsibilities

  • Shape strategy and prioritize opportunities. Size unmet needs and growth opportunities across audiences, use cases, and product experiences. Help teams choose where to invest and sequence work based on expected user value, reach, evidence, and effort.
  • Define what value and success mean. Develop an audience-specific measurement framework spanning activation, task success, learning progress, satisfaction, and durable retention. Connect these measures to product goals and assess whether repeat use reflects meaningful benefit.
  • Understand users and growth drivers. Analyze journeys, funnels, and cohorts to uncover where people find value, where they struggle, and what helps them return. Combine behavioral data with surveys and user research to explain differences across ages, family roles, and learning contexts.
  • Measure what changes actually cause. Design experiments and holdouts to evaluate product and model changes. Apply causal methods when randomization is impractical, make assumptions explicit, and account for seasonality, audience composition, and effects that differ across segments.
  • Turn findings into product decisions. Work with partners from initial hypotheses through launch and iteration. Recommend what to build, change, expand, or stop, explaining expected impact, uncertainty, and tradeoffs. Follow through to determine whether decisions delivered the intended results.
  • Build reliable measurement. Partner with engineering on instrumentation, dataset quality, and consistent audience definitions. Create reusable analyses and dashboards that make progress visible and let teams answer recurring questions independently.
  • Create alignment across teams. Bring a coherent view of audience value to work spanning multiple roadmaps. Help partners agree on priorities, success criteria, and the next questions to resolve, even when ownership is distributed and evidence is incomplete.

Qualifications

  • A record of influencing product strategy and improving user outcomes through hands-on data science, including work from an ambiguous question to a decision and measurable impact.
  • Strong SQL and Python skills, sound statistical judgment, and practical experience with experiments, causal inference, cohort analysis, and measurement design.
  • Ability to develop useful definitions of product value, validate imperfect proxies, and distinguish short-term metric movement from lasting improvement.
  • Clear communication and strong product judgment. You can make a recommendation, explain its limits, and influence collaborators across functions without relying on formal authority.
  • Comfort setting priorities independently across a broad scope, staying close to users, and moving between strategic questions and detailed analytical work.

Benefits

  • Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
  • Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
  • 401(k) retirement plan with employer match
  • Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)
  • Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
  • 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time
  • Mental health and wellness support
  • Employer-paid basic life and disability coverage
  • Annual learning and development stipend
  • Daily meals in offices, and meal delivery credits as eligible
  • Relocation support for eligible employees
  • Additional taxable fringe benefits (e.g., charitable donation matching and wellness stipends)
Last updated Oct 22, 2026. Interested? Apply on the company site.

About OpenAI

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