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Data Scientist, Product - job 1 of 2

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, 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.

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.

OpenAI Glassdoor Company Review

4.2

OpenAI DE&I Review

No rating

CEO of OpenAI

Sam Altman

Approve of CEO

Average salary estimate

$140000 / YEARLY (est.)

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$120000K

$160000K

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What You Should Know About Data Scientist, Product, OpenAI

As a Data Scientist on the Applied Product team at OpenAI, located in the vibrant city of San Francisco, you'll be diving deep into the exciting world of AI technology and its real-world applications. Our team is dedicated to transforming cutting-edge AI advancements into tools that can empower consumers and businesses alike. In this role, you'll become an integral part of a collaborative team, working across various functions including research, engineering, design, and business. Your contributions will help shape the future of our products that are already impacting millions globally. You'll be responsible for defining key metrics, designing A/B tests, and creating insightful dashboards that will enable the team and the entire company to make data-driven decisions. This isn't just about numbers; it’s about storytelling through data that drives our product development culture. If you have over five years of experience navigating complex environments, a solid background in quantitative analysis, and a knack for making strategic recommendations, we want to hear from you! We believe in a hybrid work model, so expect three days in the office per week, along with relocation assistance if you're joining us from afar. Join OpenAI as we push boundaries, ensuring AI benefits humanity while embracing diverse perspectives throughout our journey.

Frequently Asked Questions (FAQs) for Data Scientist, Product Role at OpenAI

What are the primary responsibilities of a Data Scientist at OpenAI?

As a Data Scientist on the Applied Product team at OpenAI, your main responsibilities include defining and interpreting A/B tests, establishing key performance metrics, and developing dashboards that empower your colleagues to answer data-related questions. You'll work closely with product managers, engineers, and designers to uncover actionable insights that improve our products and drive growth.