Product Data Scientist - Youth, Families and Learning

Details

About the Role

OpenAI is looking for a product data scientist to help create more value and drive sustainable growth for young people, families, and learners. The role covers product data science across under-18 audiences, emerging opportunities for children under 13, family experiences, and learning and education more broadly.

You will help determine where to invest, what to build, and how to measure success. The work connects discovery and early product development with adoption, retention, and sustained user value. You will partner across Chat Product, Growth, Foundations, SafeSys, and other teams, working closely with product managers, engineers, designers, and researchers. The role owns product value and growth, while dedicated teams own policy and safety.

Responsibilities

• Shape strategy and prioritize opportunities by sizing 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 audience-specific measurement frameworks spanning activation, task success, learning progress, satisfaction, and durable retention.
• Connect success measures to product goals and assess whether repeat use reflects meaningful benefit.
• Analyze journeys, funnels, and cohorts to identify where users 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.
• 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 segment-specific effects.
• 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.
• Partner with engineering on instrumentation, dataset quality, and consistent audience definitions.
• Create reusable analyses and dashboards that make progress visible and enable teams to answer recurring questions independently.
• Create alignment across teams on audience value, priorities, success criteria, and unresolved questions, even when ownership is distributed and evidence is incomplete.

Requirements

• 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.
• 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, including the ability to make recommendations, explain limitations, and influence cross-functional collaborators without formal authority.
• Comfort setting priorities independently across a broad scope, staying close to users, and moving between strategic questions and detailed analytical work.

Helpful Experience

Experience with consumer product growth, youth or family products, learning and education, or generative AI would be valuable. Experience measuring learning outcomes, combining quantitative and qualitative research, or evaluating products whose value emerges over time is also welcome.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. OpenAI is an equal opportunity employer and provides reasonable accommodations to applicants with disabilities. Background checks will be administered in accordance with applicable law.

Benefits

• Base pay range of $401,000–$510,000 per year.
• Equity and performance-related bonuses for eligible employees.
• Medical, dental, and vision insurance, with employer contributions to Health Savings Accounts.
• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses.
• 401(k) retirement plan with employer match.
• Paid parental, medical, and caregiver leave.
• Paid time off, company holidays, office closures, and paid sick or safe time as required by applicable law.
• Mental health and wellness support.
• Employer-paid basic life and disability coverage.
• Annual learning and development stipend.
• Daily meals in offices and eligible meal delivery credits.
• Relocation support for eligible employees.
• Additional taxable fringe benefits may include charitable donation matching and wellness stipends.