Data Scientist

OpenAI • San Francisco, CA

239d • Hybrid

About The Position

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 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.

Requirements

• 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.

Nice To Haves

• 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.

Responsibilities

• 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.
• 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.

Benefits

• Relocation assistance to new employees.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Industry: Publishing Industries
• Education Level: Master's degree
• Number of Employees: 251-500 employees