Data Scientist, API

About the Team

OpenAIs 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.

We build the infrastructure and developer platform that makes that possibleso developers can reliably bring powerful AI into the real world operate it safely at scale and keep pushing whats possible. When we do our job well we dont just ship an API. We enable thousands of teams to create new capabilities for millions of end users accelerating progress across industries and communities.

About the Role

As a Data Scientist on the API team youll build the measurement systems that make our platform legible and improveable. Youll 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.

Youll partner closely with Product Engineering Research and Finance to ensure our metrics are trusted our experimentation is rigorous and our insights turn into shipped improvements.

This role is based in San Francisco. We use a hybrid work model of three days in the office per week and offer relocation assistance to new employees.

In this role you will:

• 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 stuckfrom 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.

You might thrive in this role if you have:

• 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.

• 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 durable workflows that change how your team and org operate.

Nice-to-haves:

• Experience with developer platforms APIs/SDKs or usage-based products.

• Experience with platform reliability analytics incident impact measurement or performance/cost optimization.

• Familiarity with AI evaluation and quality measurement systems (online/offline evals human-in-the-loop safety/quality guardrails).

Why it matters

When developers build on OpenAI they put our platform into products that touch millions of people. API Data Science ensures we make the right bets operate with rigor and continuously raise reliability and usability as the platform scales. This is a unique opportunity to shape how frontier AI is measured improved and delivered through a platform that powers the next generation of AI products.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core and to achieve our mission we must encompass and value the many different perspectives voices and experiences that form the full spectrum of humanity.

We are an equal opportunity employer and we do not discriminate on the basis of race religion color national origin sex sexual orientation age veteran status disability genetic information or other applicable legally protected characteristic.

For additional information please see OpenAIs Affirmative Action and Equal Employment Opportunity Policy Statement.

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. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct adverse and negative relationship with the following job duties potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary confidential and non-public addition job duties require access to secure and protected information technology systems and related data security obligations.

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At OpenAI we believe artificial intelligence has the potential to help people solve immense global challenges and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

Required Experience:

IC