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.
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 the team and company to answer product data questions in a self-serve way
You might thrive in this role if you have:
- 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
- Defined, implemented, and operationalized new feature and product-level metrics from scratch
- Excellent communication skills with demonstrated ability to communicate with product managers, engineers, and executives alike
- Strategic insights beyond the paradigm of statistical significance testing
You could be an especially great fit if you have:
- Strong programming background, with ability to run simulations and prototype variants
- Experience validating quantitative insights with qualitative methods (e.g. surveys, UXR)
- Demonstrated prior experience in NLP, large language models, or generative AI