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Data Scientist, Codex

OpenAI · San Francisco

CHECKED 1H AGO

Frontier labonsitesenior$230k–$385k
Apply on the lab’s site ↗

At a glance

Highlights

  • Measure and accelerate product-market fit for Codex agentic coding tools.
  • Define developer productivity across languages, frameworks and task types.
  • Run experiments on new coding models and UX to shape product direction.

What they offer

  • Relocation assistance
  • Equity

Ideal candidate

Quantitative product thinker with developer-tooling experience who cares deeply about developer productivity and turning ambiguous behavior into clear, actionable insights.

Requirements

  • 5+ years in a quantitative role at a developer-facing or high-growth product
  • Fluency in SQL and Python with comfort in experiment design and causal inference
  • Experience defining product metrics tied to user value
  • Ability to communicate clearly with PM, Eng, and Design and influence product direction
  • Strong programming background with 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
remote policy
Hybrid - 3 days in office per week

Lab profile

About OpenAI

Builds safe frontier AI models and products like ChatGPT for broad benefit.

What they build

  • ChatGPT
  • OpenAI API
  • Frontier AI models

Known for

  • Frontier-scale distributed ML training
  • Massive GPU fleet and data center operations
  • Exabyte-scale data lakes and streaming
  • AI alignment and safety research

Key facts

  • Operates one of the world's largest GPU fleets
More about OpenAI →
Apply on the lab’s site ↗