OpenAI is hiring a

Data Scientist, Product

San Francisco, United States
Full-Time

About the Team

Earlier in 2022, we introduced DALL-E 2, AI that creates images from text. In 2021 we launched Copilot, powered by Codex, in partnership with GitHub – and developers love it. In 2020 we introduced GPT-3 which the MIT Technology Review listed as one of its 10 Breakthrough Technologies of the year (alongside mRNA vaccines).Our product team is bringing OpenAI technologies to consumers and businesses around the world. We recently launched ChatGPT and ChatGPT Enterprise.

About the Role

As an early member of our Data Scientist team on the Applied Product team, you will establish the data-driven product development culture for either consumer products or developer platform at OpenAI. You should expect to define our north-star metrics, design our first 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 building our first party offerings.This role is based in our San Francisco HQ. We 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 driving the definition, tracking, and operationalizing of 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 a founding 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:

  • Demonstrated prior experience in NLP, large language models, or generative AI

  • Strong programming background, with ability to run simulations and prototype variants

  • Experience validating quantitative insights with qualitative methods (e.g. surveys, UXR)

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. 

OpenAI Affirmative Action and Equal Employment Opportunity Policy Statement

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.

OpenAI Global Applicant Privacy Policy

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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