Founding Data Scientist, Pricing & Monetization

About The Team

OpenAI’s Pricing team sits at the center of product, go-to-market, finance, and strategy. We define how OpenAI packages, prices, and scales access to our products across consumer, SMB, and enterprise customers, turning deeply technical product usage and market signal into company-level decisions. We’re looking for a senior Data Scientist to be the first dedicated data science hire on the Pricing team. This is a rare zero-to-one role with direct exposure to OpenAI’s CFO, Head of Pricing, and senior leaders across Product and GTM.

About The Role

As a founding Data Scientist for Pricing, you will design the analyses, models, experiments, and decision frameworks that guide pricing strategy across OpenAI’s business. You’ll work side-by-side with the CFO, Head of Pricing, and senior leaders across Product and GTM on ambiguous, high-leverage questions where simple reporting is not enough, translating customer behavior, product usage, revenue outcomes, and market dynamics into clear recommendations. This role combines hands-on technical depth with executive-ready storytelling. You should be excited to build from first principles, operate with high independence, and influence decisions that shape how OpenAI grows and serves customers around the world.

Qualifications

• Significant experience in data science, analytics, economics, statistics, machine learning, or a related quantitative field.

• Strong technical ability in analysis, modeling, experimentation, causal inference, and data-driven decision-making.

• Experience working on pricing, monetization, marketplace dynamics, usage-based pricing, dynamic pricing, packaging, or adjacent high-complexity business problems.

• Ability to operate independently in ambiguous environments, define analytical direction from scratch, and bring senior stakeholders along through clear tradeoff framing.

• Strong written and verbal communication skills, including the ability to influence executive-level audiences and cross-functional operating teams.

Preferred Qualifications

• Prior pricing experience across consumer, SMB, enterprise, marketplace, platform, or AI/API businesses.

• Experience building novel pricing models, systems, experimentation programs, or decision frameworks.

• PhD preferred; a master’s degree or equivalent practical experience can also be a strong fit.

• Experience helping establish a new data science function, operating model, technical roadmap, or executive decision cadence.