Product Data Scientist

Location: San Francisco, United States; hybrid

Salary: $401,000–$510,000 per year, plus equity and performance-related bonuses for eligible employees

Company

OpenAI is an AI research and deployment company developing general-purpose artificial intelligence and products intended to benefit humanity.

What you will do

• Size unmet needs and growth opportunities across under-18 audiences, children under 13, families, learners, use cases, and product experiences; help prioritize investments and sequence work.
• Define audience-specific measures of product value and success, including activation, task success, learning progress, satisfaction, and durable retention.
• Analyze user journeys, funnels, cohorts, surveys, and user research to identify value drivers and differences across ages, family roles, and learning contexts.
• Design experiments and holdouts, apply causal methods when randomization is impractical, and account for seasonality, audience composition, and segment-specific effects.
• Translate hypotheses and analysis into recommendations on what to build, change, expand, or stop, then measure whether decisions produced the intended results.
• Partner with engineering and cross-functional teams on instrumentation, dataset quality, audience definitions, reusable analyses, dashboards, priorities, and success criteria.

Requirements

• Record of influencing product strategy and improving user outcomes through hands-on data science, from ambiguous questions to decisions 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 define 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.
• Ability to set priorities independently across a broad scope, stay close to users, and move between strategic questions and detailed analytical work.

Nice to have

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

Culture & Benefits

• Hybrid work in San Francisco with relocation support for eligible employees.
• Medical, dental, and vision insurance; employer contributions to Health Savings Accounts; and pre-tax FSA, dependent care, and commuter accounts.
• 401(k) retirement plan with employer match, paid parental and medical/caregiver leave, paid time off, company holidays, office closures, and paid sick or safe time.
• Mental health and wellness support, employer-paid basic life and disability coverage, and an annual learning and development stipend.
• Daily meals in offices and eligible meal delivery credits, with additional benefits potentially including charitable donation matching and wellness stipends.