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. Our team has been behind notable product launches (ChatGPT https://openai.com/chatgpt/overview/, API https://openai.com/api/, Sora https://openai.com/sora/), creating tools that help developers write code, enable businesses to operate more efficiently, and empower individuals to learn and create. As AI capabilities rapidly evolve, we focus on ensuring that our products are safe, accessible, and beneficial to all. About the Role As a Data Scientist on the Applied Product team, you will contribute to a data-driven product development culture for consumer and enterprise products at OpenAI. This is critical as our products reach millions of users and businesses worldwide. We are focused on aligning both research and product development to drive measurable impact for these individuals and organizations alike. You should expect to define our north-star metrics, design A/B tests, and establish source-of-truth dashboards that the entire company can use to answer their own product questions. Most importantly, you should expect to be a core member of the product development team. This role is based in San Francisco, CA or Seattle, WA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - 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 t

Department: Data Science; Team: Data Science