Product Data Scientist - Youth, Families and Learning

About the role

We're looking for a product data scientist to help OpenAI create more value and drive sustainable growth for young people, families, and learners. You'll drive product data science across under-18 audiences, emerging opportunities for children under 13, family experiences, and learning and education more broadly. You'll help decide where we should invest, what we should build, and how we'll know it is working.

In this role, you will:

• Shape strategy and prioritize opportunities by sizing unmet needs and growth opportunities across audiences, use cases, and product experiences.
• Define what value and success mean by developing an audience-specific measurement framework spanning activation, task success, learning progress, satisfaction, and durable retention.
• Understand users and growth drivers by analyzing journeys, funnels, and cohorts and combining behavioral data with surveys and user research.
• Measure what changes actually cause by designing experiments and holdouts and applying causal methods when randomization is impractical.
• Turn findings into product decisions, recommending what to build, change, expand, or stop and following through on results.
• Build reliable measurement by partnering with engineering on instrumentation, dataset quality, and consistent audience definitions, and creating reusable analyses and dashboards.
• Create alignment across teams by bringing a coherent view of audience value to work spanning multiple roadmaps.

You might thrive in this role if you have:

• 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.
• The 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, with the ability to 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.

Helpful experience

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