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OpenAI

Data Scientist, Platform and B2B Products

Drive data-driven decisions for OpenAI's API and B2B platform by defining metrics, running A/B tests, building dashboards, and partnering with PMs and engineers to enhance developer experience and product impact. Requires 5+ years in quantitative roles with strong SQL/Python skills.

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

Responsibilities

  • Embed with the Platform product team as a trusted partner, uncovering ways to improve developer experience, reliability, and usage growth.
  • Define north-star metrics across the developer funnel (activation, retention, growth), as well as latency/cost guardrails for new features and models.
  • Design and interpret A/B tests and controlled rollouts (e.g., new model versions, pricing/limits, new API features, new B2B products).
  • Build source-of-truth dashboards and self-serve data tools for product, engineering, and go-to-market teams.
  • Translate product learnings into actionable feedback for Research (e.g., failure modes, eval gaps, model response quality).

Requirements

  • 5+ years in a quantitative role in ambiguous, high-growth environments (platforms, APIs, or B2B products a plus).
  • Depth in SQL and Python, with a track record proposing, designing, and running rigorous experiments.
  • Experience defining and operationalizing metrics from scratch (including reliability/latency/cost and safety).
  • Strong cross-functional communication with PMs, engineers, and executives.
  • Strategic instincts beyond p-values—clear thinking about tradeoffs and business impact.

Nice-to-Haves

  • Background in developer platforms, observability, or usage-based pricing/quotas.
  • Experience connecting offline evals to online product impact.
  • Prior work in NLP/LLMs or agentic systems, or in enterprise analytics for B2B products.

Skills

SQLPythonA/B TestingDashboardsMetricsLLMsNLPObservabilityExperimentsData Analysis

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