Data Scientist, Product: OpenAI

The role is on OpenAI's Applied team, which is responsible for bringing OpenAI's technologies to consumers and businesses worldwide through products like ChatGPT, the API, and Sora. The team collaborates across research, engineering, and business functions to turn cutting-edge AI advancements into impactful real-world applications.

About the Role
As a Data Scientist on the Applied Product team, you will be a core member of the product development team, helping to build a data-driven culture for both consumer and enterprise products. You will be responsible for defining key metrics, designing A/B tests to measure the impact of model and UX changes, and creating source-of-truth dashboards that enable the entire company to answer product-related questions.

Responsibilities
Embed with the product development team as a trusted partner to uncover new ways to improve the product and drive growth.

Define and interpret A/B tests to answer critical questions about the impact of model and UX changes.

Establish and operationalize feature, product, and company-level metrics.

Develop and socialize dashboards, reports, and other self-serve tools for answering product data questions.

Requirements
Required Experience:

5+ years of experience in a quantitative role in highly ambiguous environments, ideally at a hyper-growth product company.

Experience proposing, designing, and running rigorous experiments with clear insights using SQL and Python.

Experience defining and implementing new feature and product-level metrics from scratch.

Excellent communication skills, with the ability to communicate with product managers, engineers, and executives.

Especially Great Fit If You Have:

A strong programming background, with the 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.