Data Scientist, Strategic Finance

About the Team

The Strategic Finance team is responsible for some of the largest investment categories at OpenAI. We play a critical role in maximizing OpenAI’s long-term value by partnering across the business to allocate and deploy resources for the highest-impact outcomes. We work cross-functionally with Finance, Product, Engineering, and Go-To-Market teams to deliver actionable insights and support strategic decision-making.

About the Role

As one of the founding Data Scientists on the Strategic Finance Data Science team, you will design, implement, and own critical models, reporting, and analysis. You will work closely with Finance leadership, as well as teams across Research, Applied and Go-To-Market.

This role requires deep expertise in time series forecasting, predictive modeling, causal inference, and the ability to surface insights to support high-stakes decision-making.

This role is based in our San Francisco HQ. We use a hybrid work model of three days in the office per week and offer relocation assistance to new employees.

In this role, you will:

• Become an expert in OpenAI’s data and systems. Partnering with Data Engineering, Finance, and other teams, you’ll self-serve data to derive critical insights.

• Build time series predictive models to forecast revenue, user growth, LTV, compute consumption, and their underlying drivers.

• Scale causal inference models to measure the impact of different actions on user growth and financial outcomes.

• Architect customer segmentation frameworks to unlock tailored growth strategies and expand lifetime value.

• Automate standardized reporting and analysis by building data products or agentic solutions.

• Support product pricing and other business decisions with ad hoc analysis.

• Design and deliver dashboards for leadership to track key performance indicators and enable optimal decision-making.

• Manage and lead cross-functional data science projects end-to-end.

 You might thrive in this role if you have:

• MS or PhD in a quantitative field, with 7+ years of experience in a highly quantitative role, ideally as an early data scientist at a hyper-growth company or research organization.

• Proficiency in Python, SQL, Tableau, and other analytical tools.

• Strong analytical skills and experience working with large, complex data sets.

• Proven ability to distill complex data into actionable insights for leadership.

• Ability to independently initiate and complete projects, owning them end-to-end.

• Excellent communication and storytelling skills when presenting data insights.

• Exceptional attention to detail and a commitment to accuracy.

You could be an especially great fit if:

• You’re an enthusiastic self-starter who thrives in fast-paced, dynamic environments.

• You’re a phenomenal teammate and communicator, able to explain complex topics with clarity and keep stakeholders proactively informed.

• You’re passionate about technology and artificial intelligence.

• You use first-principles thinking to design solutions from the ground up based on user needs and operational realities.

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. 

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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.

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