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Posted Sep 30, 2025

Data Scientist, Codex

at openai

San Francisco, United StatesHybrid

Requirements

  • ABOUT THE ROLE As a Data Scientist on Codex, you will measure and accelerate product-market fit for AI developer tools.
  • Experience defining product metrics tied to user value - Ability to communicate clearly with PM, Eng, and Design—and to influence product direction YOU COULD BE AN ESPECIALLY GREAT FIT IF YOU HAVE - 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 About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence

Additional details

  • ABOUT THE TEAM Codex is OpenAI’s first-party developer product focused on agentic software engineering.
  • We’re building tools that help engineers design, write, test, and ship code faster—safely and at scale.
  • We partner tightly with research and product to translate model advances into tangible developer productivity.
  • You’ll define what “developer productivity” means for our product, run experiments on new coding models and UX, and pinpoint where the model helps or hurts across languages and tasks.
  • Your insights will directly shape how an entire industry builds software.
  • We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.
  • IN THIS ROLE, YOU WILL - 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,

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