Data Scientist, Identity

Details

OpenAI’s Financial Engineering and Identity data science team owns how revenue flows through products and builds systems that enable people and organizations to access OpenAI products safely, seamlessly, and at global scale.

Identity sits at the intersection of growth, trust, and user experience. The team owns the experiences and infrastructure behind sign-up, sign-in, account recovery, authentication, and identity integrations across consumer and enterprise products.

This role is based in San Francisco, California. OpenAI uses a hybrid model with three days per week in the office.

Responsibilities

• Define north-star metrics and measurement frameworks for the identity experience across consumer and enterprise products.
• Design and analyze experiments to optimize sign-up, sign-in, onboarding, and account recovery experiences.
• Partner with Identity Product and Engineering teams to improve activation, authentication success, and user experience while maintaining appropriate safeguards.
• Quantify and communicate trade-offs between growth objectives and abuse prevention outcomes, including fraud and account takeover risks.
• Develop methodologies to evaluate identity initiatives when randomized experimentation is not feasible, using causal inference and observational analyses.
• Establish reporting and executive-facing metrics for Identity health, funnel performance, and emerging opportunities.
• Build source-of-truth datasets, dashboards, and analytical systems that enable scalable decision-making across the Identity organization.
• Help shape a data-informed decision-making culture as the first Data Scientist dedicated to Identity.

Requirements

• 8+ years of experience in product data science, experimentation, or product analytics.
• Experience owning product funnels and driving improvements through experimentation and measurement.
• Strong expertise designing experiments and applying causal inference methods in production environments.
• Experience partnering closely with Product and Engineering teams to solve ambiguous, cross-functional problems.
• Ability to translate complex analytical findings into clear recommendations for technical partners and senior leadership.
• Advanced proficiency in SQL and Python.
• Track record of independently defining metrics, building analytical frameworks, and influencing product strategy.
• Experience with identity, authentication, trust and safety, fraud, abuse prevention, growth, or other user-facing platform problems is a plus but not required.

Benefits

• Base salary of $293,000–$515,000 per year, plus equity and performance-related bonuses for eligible employees.
• Medical, dental, and vision insurance, with employer contributions to Health Savings Accounts.
• Pre-tax accounts for healthcare, dependent care, and commuter expenses.
• 401(k) retirement plan with employer match.
• Paid parental, medical, and caregiver leave.
• Paid time off, paid company holidays, and paid sick or safe time.
• Mental health and wellness support.
• Employer-paid basic life and disability coverage.
• Annual learning and development stipend.
• Daily office meals and eligible meal delivery credits.
• Relocation support for eligible employees.
• Additional benefits may include charitable donation matching and wellness stipends.