Founding Data Scientist, Pricing & Monetization

OpenAI

Founding Data Scientist establishing the analytical foundation for pricing strategies at OpenAI. Collaborating closely with senior leadership to influence data-driven pricing decisions.

Posted 7/15/2026full-timeSan Francisco • California • 🇺🇸 United StatesMid-LevelSenior💰 $340,000 - $380,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data science and analytics to drive pricing and monetization strategies, leveraging strong modeling and experimentation skills to influence executive decision-making and cross-functional collaboration.

Highest-signal resume keywords

Data SciencePricing StrategyStatistical AnalysisMachine LearningCausal Inference

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisModelingExperimentationDecision FrameworksRevenue OutcomesCustomer Behavior AnalysisPricing AlgorithmsDynamic PricingWillingness-To-PayPackaging Strategies

Soft Skills

Written CommunicationVerbal CommunicationInfluencing SkillsCross-Functional CollaborationIndependent Operation

Industry Keywords

MonetizationMarketplace DynamicsUsage-Based PricingHigh-Complexity Business ProblemsAnalytical Direction

About the role

Key responsibilities & impact

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 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, helping define the roadmap, standards, and future operating model for the team.

Requirements

What you’ll need

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.

Benefits

Comp & perks

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 (1 hour per 30 hours worked, or more, as required by applicable state or local law)
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, may also be provided.