Data Scientist, Product (San Francisco)

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 ,

API ,

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. 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 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.

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 do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status.

For US Based Candidates : Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

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.

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