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OpenAIOpenAISan Francisco, CA

Data Scientist, Identity

First Data Scientist for OpenAI's Identity team. Define metrics, run experiments, and build analytical systems to optimize sign-up, authentication, and account recovery while balancing growth and trust.

293k – 515k
Hybrid8+ YOEData Science

About the role

Responsibilities

  • Define the north-star metrics and measurement frameworks used to evaluate the identity experience across consumer and enterprise products.
  • Design and analyze experiments to optimize top-of-funnel performance, including 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 risks such as fraud and account takeover.
  • Develop methodologies to evaluate identity initiatives when randomized experimentation is not feasible, leveraging causal inference and observational analyses.
  • Establish reporting and executive-facing metrics that provide visibility into 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 the culture of data-informed decision-making as the first Data Scientist dedicated to Identity.

Requirements

  • 8+ years of experience in product data science, experimentation, 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.
  • The ability to translate complex analytical findings into clear recommendations for both technical partners and senior leadership.
  • Advanced proficiency in SQL and Python.
  • A track record of independently defining metrics, building analytical frameworks, and influencing product strategy.

Nice-to-Haves

  • Experience working on identity, authentication, trust and safety, fraud, abuse prevention, growth, or other user-facing platform problems.

Skills

SQLPythonExperimentationCausal InferenceProduct AnalyticsA/B TestingData VisualizationDashboardingMetrics DefinitionFunnel Analysis

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