Skip to content
OpenAIOpenAISan Francisco, CA

Founding Data Scientist, Pricing & Monetization

Founding Data Scientist on OpenAI's Pricing team, building analytical foundations and models for pricing, packaging, and monetization strategy across consumer, SMB, and enterprise segments. Partner directly with CFO and senior leaders on high-impact analyses, experiments, causal inference, and executive recommendations in a zero-to-one role.

340k – 380k/yr
Hybrid7+ YOEData Science

About the role

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 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

  • 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.

Nice-to-Haves

  • 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.
  • Deep experience using causal inference and other statistical techniques to solve pricing, monetization, packaging, or business strategy problems.

Skills

Causal InferenceStatistical ModelingExperimentationpricing modelsMachine LearningData AnalysisPythonSQLA/B Testingwillingness-to-pay analysisdynamic pricingusage-based pricing

Similar roles

Data Science jobs
Attentive

Applied Science / Data Science Leader

AttentiveSan Francisco, CA

Lead and grow a team of Applied Scientists and Data Scientists to define the data science vision, develop ML and experimentation solutions, and influence product strategy and business growth through deep analysis and cross-functional partnerships. Requires 8+ years in data science/ML, 3+ years managing teams, advanced degree, and expertise in causal inference and Python/SQL.

320k – 380k/yr
On-site8+ YOEData Science
Anthropic

Data Scientist, Developer Productivity

AnthropicSan Francisco, CA +1

Data Scientist partnering with Developer Productivity leadership at Anthropic to define, measure, and improve developer productivity in an AI-first organization. Lead investigations, set metrics frameworks, run experiments on AI tooling, and influence leadership with data in a fast-changing space. Requires strong SQL/Python, ambiguous problem-solving, and 8+ years data science experience.

380k – 460k/yr
Hybrid8+ YOEData Science
OpenAI

Data Scientist, Identity

OpenAISan Francisco, CA

First Data Scientist for OpenAI's Identity team. Define metrics, run experiments, and build analytical systems to optimize sign-up, authentication, and account recovery while balancing growth and trust.

293k – 515k/yr
Hybrid8+ YOEData Science
Anthropic

Data Scientist, Policy

AnthropicNew York, NY +2

Data Scientist focused on policy work, transforming internal usage and survey data into evidence for policymakers. Requires Python, SQL, causal inference expertise, and experience producing external-facing analyses.

285k – 380k/yr
Hybrid6+ YOEData Science
Anthropic

Data Scientist, Marketing

AnthropicNew York, NY +2

Data Scientist embedded in marketing to define metrics, run experiments, and build analytics systems that drive customer acquisition and lifecycle performance.

285k – 380k/yr
Hybrid6+ YOEData Science