# Data Scientist, Platform and B2B Products

**Company:** [OpenAI](https://hotfix.jobs/companies/openai)
**Location:** San Francisco, CA
**Role:** Data Science
**Salary:** $230K-$385K
**Experience:** 5+ years
**Skills:** SQL, Python, A/B Testing, Dashboards, Metrics, LLMs, NLP, Observability, Experiments, Data Analysis
**Posted:** 2025-09-30

> 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.

## Job Description

## 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.

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