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. You will help build the analytical foundation for pricing at OpenAI, shape executive decisions, and define what excellent pricing data science looks like.

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.