Data Scientist, Codex
San Francisco • FullTime
Posted 11mo ago
About the job
Codex is OpenAI’s first-party developer product focused on agentic software engineering, building tools to help engineers design, write, test, and ship code faster, safely, and at scale. As a Data Scientist on Codex, you will measure and accelerate product-market fit for AI developer tools. 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.
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
- Diagnose failure modes and partner with Research on targeted improvements
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
- 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
Benefits
- Relocation assistance