Data Scientist, Platform and B2B Products
Hybrid · San Francisco, California, United States
Job Summary
As a Data Scientist on the Platform team at OpenAI, you will drive a data-driven culture for the API and B2B solutions, defining key metrics for success and measuring impacts of new features. Key responsibilities include collaborating with product teams, designing A/B tests, building dashboards, and providing actionable product feedback. Candidates should have extensive experience in quantitative roles, proficiency in SQL and Python, and a strong capacity for cross-functional communication. Relocation assistance is available.
Required Qualifications
- 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
Desired Qualifications
- 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
Additional Requirements
- Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates.
Apply with one swipe on Sorce. We auto-fill applications and apply on your behalf — no cover letters, no 40-minute forms.
Hiring someone like this?
Get your role in front of qualified candidates on Sorce.