Data Scientist, Strategic Finance

OpenAI OpenAI · AI Frontier · San Francisco, CA · Data Science

This role is for a Data Scientist on the Strategic Finance team, responsible for designing, implementing, and owning critical models, reporting, and analysis to support high-stakes decision-making. The role involves partnering with various teams, scaling causal inference models, architecting customer segmentation frameworks, automating reporting with agentic solutions, and supporting product pricing and business decisions. It requires expertise in predictive modeling, causal inference, and working with large datasets.

What you'd actually do

  1. Become an expert in OpenAI’s data and systems. Partnering with Data Engineering, Finance, and other teams, you’ll self-serve data to derive critical insights.
  2. Scale causal inference models to measure the impact of different actions on user growth and financial outcomes.
  3. Architect customer segmentation frameworks to unlock tailored growth strategies and expand lifetime value.
  4. Automate standardized reporting and analysis by building data products or agentic solutions.
  5. Support product pricing and other business decisions with ad hoc analysis.

Skills

Required

  • Python
  • SQL
  • Tableau
  • analytical tools
  • large, complex data sets
  • distill complex data into actionable insights
  • independently initiate and complete projects

Nice to have

  • MS or PhD in a quantitative field
  • early data scientist at a hyper-growth company or research organization
  • first-principles thinking

What the JD emphasized

  • deep expertise in predictive modeling, causal inference
  • 10+ years of experience in a highly quantitative role
  • Proven ability to distill complex data into actionable insights for leadership
  • Ability to independently initiate and complete projects, owning them end-to-end