Data Scientist, User Operations

About the Team

OpenAI’s User Operations team is building world-class automation and knowledge systems that will reduce friction for users, provide industry-leading support, and serve as a proving ground for OpenAI’s next-generation technology. 

About the Role

As an early member of our User Operations Data Science team, you will help build a data-driven culture around hypothesis testing, insight generation, and strategy. You should expect to work on a wide range of projects like defining north-star metrics, designing experiments, estimating incrementality, and creating predictive models. You will partner with our automation engineering team and our data engineering team to develop the data infrastructure for these knowledge systems. Most importantly, you should expect to be a core member of the Business data science team, helping to bring our technology to a wide range of customers and supporting our self-serve and sales-led motions.

This role is based in San Francisco, CA or New York, NY. 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:

• Design and deploy predictive models to forecast support demand, proactively identify user friction, and drive data-informed decision-making.

• Collaborate with engineering to refine autonomous agents, providing insights on training data, agent performance, and rapid iteration loops.

• Provide key product insights for PMs and engineering teams, shaping priorities and guiding enterprise-grade user support strategies.

• Mentor other data scientists, establishing standards for data quality, experimentation, and ethical AI use.

• Manage cross-functional data science projects about revenue, marketing, pricing, usage, and other topics core to the business. 

• Establish a data-driven culture by driving the definition, tracking, and operationalizing of metrics

• Become an expert in OpenAI’s data and systems with ability to self-serve all the underlying data for our business and derive insights from them by partnering with data engineering, finance and other business teams.

• Develop and socialize dashboards, reports, and other ways of enabling the team and company to answer product data questions in a self-serve way

• Partner with other data scientists across the company to share knowledge and continually synthesize learnings across the organization

 You might thrive in this role if you have:

• At least 10+ years of experience in Data Science roles within dynamic, outcome-driven organizations.

• Expertise in statistics and causal inference, applied in both experimentation and observational causal inference studies.

• Expertise in quantitative programming languages, such as Python and R.

• Expertise in SQL, with extensive experience extracting large datasets and designing ETL workflows.

• Experience developing and extracting insights from business intelligence tools, such as Mode, Tableau, and Looker.

• Strategic and impact-driven mindset, capable of translating complex business problems into actionable frameworks.

• Strong communication skills, including the ability to bridge technical and non-technical stakeholders and collaborate across various functions to ensure business impact.

• Ability to craft clear data stories using decks, memos, and dashboards to drive decision-making at every level.

• Best-in-class attention to detail and unwavering commitment to accuracy.

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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 we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

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

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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.