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.

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

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

• Experience using business intelligence tools, such as Mode, Tableau, and Looker.

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

• Ability to build relationships with diverse stakeholders and cultivate strong partnerships.

• 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.

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.