Description
Data Scientist, API
Location
San Francisco
Employment Type
Full time
Department
Data Science
Compensation
- $293K – $515K • Offers Equity
The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.
Benefits
- Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
- Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
- 401(k) retirement plan with employer match
- Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)
- Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
- 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)
- Mental health and wellness support
- Employer-paid basic life and disability coverage
- Annual learning and development stipend to fuel your professional growth
- Daily meals in our offices, and meal delivery credits as eligible
- Relocation support for eligible employees
- Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.
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.
About the Role
As a Data Scientist on the API team, you’ll build the measurement systems that make our platform legible and improveable. You’ll define the metrics that matter, identify and quantify developer friction, evaluate launches and platform changes, and translate data into product decisions that improve reliability and developer outcomes at scale.
Responsibilities
- 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.
- Develop and socialize dashboards, tools, and self-serve data products that help teams answer product questions quickly.
- Help establish data science standards and best practices for measuring AI platform performance and developer success.
- Partner with other data scientists across the company to share learnings and raise the bar on measurement and decision-making.
Requirements
- 10+ years of experience in data science roles within product or technology organizations (platform or developer-facing experience is a plus).
- Expertise in statistics and causal inference, applied in both experimentation and observational studies.
- Expert-level SQL and proficiency in Python for analytics, modeling, and experimentation.
- Proven experience designing and interpreting experiments and making statistically sound recommendations.
- Experience building datasets, metrics, and data pipelines that power production decision-making.
- Experience developing and extracting insights from business intelligence tools (e.g., Tableau) and building self-serve solutions.
- Strong product sense and an impact-driven mindset: you turn ambiguity into crisp frameworks that drive roadmap decisions.
- Ability to build relationships with diverse stakeholders and cultivate strong partnerships across Product, Engineering, Research, and GTM teams.
- Strong communication skills, including the ability to bridge technical and non-technical audiences.
- Ability to operate effectively in a fast-moving, ambiguous environment with limited structure.
Nice to Have
- Are consistently among the first to adopt the latest AI tools, you use them daily to increase your own throughput, and you proactively turn them into