Founding Data Scientist, Pricing & Monetization

Compensation

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The salary range for this role is $340K - $380K, with generous equity, performance-related bonuses, and the following benefits:

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
• 401(k) retirement plan with employer match
• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)
• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time
• Mental health and wellness support
• Employer-paid basic life and disability coverage
• Annual learning and development stipend to fuel your professional growth
• Daily meals in our offices, and meal delivery credits as eligible
• Relocation support for eligible employees
• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends

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.

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.

Responsibilities

• Serve as a senior analytical partner to the CFO, Head of Pricing, Product, and GTM leaders on pricing and monetization decisions
• Build the analytical foundation for pricing across consumer, SMB, and enterprise segments
• Design and execute analyses that connect customer behavior, product usage, conversion, retention, revenue outcomes, and pricing strategy
• Develop models, algorithms, experiments, and decision frameworks for complex pricing, packaging, discounting, and willingness-to-pay questions
• Translate technical work into crisp executive recommendations and practical operating guidance for cross-functional teams
• Identify where a dedicated pricing data science function can create repeatable leverage

Requirements

• 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
• Strong written and verbal communication skills

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

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity.