Applied Data Scientist, Unit Economics Understanding
Core
Building strategic unit economics understanding and causal inference models to predict customer lifetime value (LTV) and guide sustainable growth for OpenAI.
Role type
Senior Applied Data Scientist (Unit Economics & Causal Inference)
Builds
Foundational causal inference and predictive analytics frameworks for LTV forecasting and pricing strategy.
Domain
AI / SaaS / B2B & B2C / Unit Economics
Deliverable
production ML models
Required skills
Causal inference, predictive modeling, LTV modeling, price elasticity analysis, Python, SQL, executive communication, strategic judgment, cross-functional collaboration
Preferred skills
ROI analysis, statistical modeling, ML predictive models, scalable analytical framework design
Technologies
Python, SQL
Responsibilities
Develop and maintain LTV models across product lines and customer cohorts; Architect scalable frameworks to democratize economic insights; Support strategic pricing and investment decisions with causal evidence; Partner with cross-functional teams to build models driving business decisions; Design customer adoption journeys maximizing lifetime value.
Seniority
Senior, hands-on IC with executive communication