Data Scientist, Product
About the Team Our Applied team brings OpenAI technologies to consumers and businesses around the world. We collaborate across research, engineering, design and business functions to turn cutting-edge AI advancements into impactful real-world applications.
What this role actually needs.
About the Team Our Applied team brings OpenAI technologies to consumers and businesses around the world. We collaborate across research, engineering, design and business functions to turn cutting-edge AI advancements into impactful real-world applications. Responsibilities: - Embed with the product development team as a trusted partner, uncovering new ways to improve the product and drive growth - Define and interpret A/B tests that help answer critical questions about the impact of model and UX changes to our product - Establish a data-driven product development culture by defining, tracking, and operationalizing feature-, product-, and company-level metrics - Develop and socialize dashboards, reports, and other ways of enabling the team and company to answer product data questions in a self-serve way - 5+ years experience in a quantitative role navigating highly ambiguous environments, ideally as an early data scientist or product analyst at a hyper-growth product company or research org - Proposed, designed, and run rigorous experiments with clear insights and product recommendations utilizing SQL and Python Company context: OpenAI builds frontier AI systems, research infrastructure, and applied products for developers, enterprises, and global users.
Day-to-day expectations
OpenAI lists these responsibilities for the Data Scientist, Product role.
- Embed with the product development team as a trusted partner, uncovering new ways to improve the product and drive growth
- Define and interpret A/B tests that help answer critical questions about the impact of model and UX changes to our product
- Establish a data-driven product development culture by defining, tracking, and operationalizing feature-, product-, and company-level metrics
- Develop and socialize dashboards, reports, and other ways of enabling the team and company to answer product data questions in a self-serve way
- 5+ years experience in a quantitative role navigating highly ambiguous environments, ideally as an early data scientist or product analyst at a hyper-growth product company or research org
- Proposed, designed, and run rigorous experiments with clear insights and product recommendations utilizing SQL and Python
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On-site roles in San Francisco should be compared against commute, local salary bands, and nearby employer demand.
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Source: jobs.ashbyhq.com Β· Source ID: 579e2994-ec43-4869-8ad1-8cda8088f74b Β· Confidence: 97/100 Β· Last checked: May 7, 2026
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