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OpenAI

Data Scientist, Codex

Data Scientist measures and accelerates product-market fit for AI developer tools by defining developer productivity metrics, running A/B tests on coding models and UX, and building dashboards. Requires 5+ years quantitative experience, SQL/Python fluency, and experiment design skills.

230k – 385kSan Francisco, CAData ScienceHybrid5+ YOE
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About the role

Responsibilities

  • Embed with the Codex product team to discover opportunities that improve developer outcomes and growth
  • Design and interpret A/B tests and staged rollouts of new coding models and product features
  • Define and operationalize metrics such as suggestion acceptance, edit distance, compile/test pass rates, task completion, latency, and session productivity
  • Build dashboards and analyses that help the team self-serve answers to product questions (by language, framework, repo size, task type)
  • Diagnose failure modes and partner with Research on targeted improvements (model quality signals, user feedback, evals)

Requirements

  • 5+ years in a quantitative role at a developer-facing or high-growth product
  • Fluency in SQL and Python; comfort with experiment design and causal inference
  • Experience defining product metrics tied to user value
  • Ability to communicate clearly with PM, Eng, and Design—and to influence product direction

Nice-to-Haves

  • Strong programming background; ability to prototype, run simulations, and reason about code quality
  • Familiarity with IDE/extension telemetry or developer tooling analytics
  • Prior experience with NLP/LLMs, code models, or evaluations for generative coding

Skills

SQLPythonA/B TestingCausal InferenceProduct MetricsDashboardsNLPLLMsCode Models

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