Founding Data Scientist, Pricing & Monetization

OpenAI
San Francisco, New York
Workplace: HybridFull timeUSD 340,000 - 380,000 annuallyFunction: Data Science & Machine LearningEducation: phdSkills: ["Executive communication","Independent problem-solving","Strategic storytelling","Cross-functional communication"]

Build the analytical foundation for OpenAI’s pricing strategy as the first dedicated data science hire on the Pricing team. Design analyses, models, experiments, and decision frameworks that connect customer behavior, product usage, conversion, retention, and revenue outcomes to packaging, discounting, and willingness-to-pay decisions. Partner closely with the CFO, Head of Pricing, and GTM/product leaders, translating complex technical work into executive-ready recommendations and operating guidance.

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FursaFursa
OpenAI
OpenAI
1 month ago

Founding Data Scientist, Pricing & Monetization

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Last checked: 7 hours agoStatus: Live

Job Summary

Build the analytical foundation for OpenAI’s pricing strategy as the first dedicated data science hire on the Pricing team. Design analyses, models, experiments, and decision frameworks that connect customer behavior, product usage, conversion, retention, and revenue outcomes to packaging, discounting, and willingness-to-pay decisions. Partner closely with the CFO, Head of Pricing, and GTM/product leaders, translating complex technical work into executive-ready recommendations and operating guidance.
Location: San Francisco, New York
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key 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, from exploratory analysis to repeatable decision systems.
  • •Design and execute analyses connecting customer behavior, product usage, conversion, retention, revenue outcomes, and pricing strategy.
  • •Develop models, algorithms, experiments, and decision frameworks for pricing, packaging, discounting, and willingness-to-pay.
  • •Translate technical work into executive recommendations and practical operating guidance; help define the team’s roadmap and standards.

Pay and Benefits

Salary: USD 340,000 - 380,000 annually
Equity and Bonus:Equity

Key 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, define analytical direction from scratch, and frame tradeoffs for senior stakeholders.
  • •Strong written and verbal communication skills for influencing executive-level and cross-functional teams.
Experience:PricingMonetizationMarketplace dynamicsUsage-based pricingDynamic pricing
Education:PhD / Doctorate
Skills:Executive communicationIndependent problem-solvingStrategic storytellingCross-functional communication

Company Brief

OpenAI
Develops and deploys advanced generative AI models (including ChatGPT and DALL·E) and AI infrastructure, providing APIs and consumer products to accelerate safe AGI for broad benefit.
Industry: AI & Machine Learning
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Scaleup
Valuation: Hectocorn (USD 100B+)
Funding: Series E+
Headquarters: San Francisco, United States
Founded: 2015
Glassdoor
Glassdoor: 4.4
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