Data Scientist, API
About the Team OpenAI’s mission is to ensure AGI benefits all of humanity. The API organization is one of the highest-leverage ways we do that: we put frontier intelligence in the hands of builders who turn it into products, businesses, and services that reach people everywhere.
What this role actually needs.
Data Scientist, API at OpenAI in San Francisco. UpJobz keeps this listing high-signal for applicants targeting serious high-tech roles across the United States, Canada, and Mexico. About the Team OpenAI’s mission is to ensure AGI benefits all of humanity. The API organization is one of the highest-leverage ways we do that: we put frontier intelligence in the hands of builders who turn it into products, businesses, and services that reach people everywhere.
Day-to-day expectations
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- Own the core KPI framework for the API platform, spanning developer adoption, engagement, retention, and platform health.
- Build end-to-end funnels that identify where developers succeed or get stuck—from first integration through scaling to production.
- Define and operationalize platform guardrails (e.g., reliability, latency, error rates, cost/efficiency) and connect them to user outcomes.
- Design and evaluate experiments and rollouts to quantify the impact of platform and product changes.
- Partner with product and engineering teams to improve instrumentation, data quality, and metric definitions so decisions are fast and correct.
- Translate complex analysis into clear, actionable insights for leadership and cross-functional stakeholders.
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- Own the core KPI framework for the API platform, spanning developer adoption, engagement, retention, and platform health.
- Build end-to-end funnels that identify where developers succeed or get stuck—from first integration through scaling to production.
- Define and operationalize platform guardrails (e.g., reliability, latency, error rates, cost/efficiency) and connect them to user outcomes.
- Design and evaluate experiments and rollouts to quantify the impact of platform and product changes.
- Partner with product and engineering teams to improve instrumentation, data quality, and metric definitions so decisions are fast and correct.
- Translate complex analysis into clear, actionable insights for leadership and cross-functional stakeholders.
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- Tailor your resume around ai and llm instead of sending a generic application.
- Use the first two bullets of your application to connect your background directly to data scientist, api is a high-signal on-site role in san francisco, and it is most realistic for united states residents.
- Open the role quickly if it fits and bookmark three similar jobs before you leave the page.
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- $293K - $515K is visible, so calibrate your application around the posted range.
- Use united states residents as part of your positioning so the recruiter does not have to infer it.
- Show concrete examples of succeeding in on-site environments.
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