Data Scientist (Growth)
Core
Build and deploy quantitative models for customer Lifetime Value (LTV) and Lifetime Gross Profit (LTGP) to guide acquisition, pricing, and sales investment decisions.
Role type
Senior quantitative data scientist (customer economics & growth modeling)
Builds
Production LTV/LTGP models serving as live bidding signals for Meta and Google ad platforms
Domain
SaaS / AI employee platform / Customer economics
Deliverable
production ML models
Required skills
statistical modeling, causal inference, experimentation design, advanced SQL, Python engineering, commercial judgment, uncertainty quantification
Preferred skills
survival analysis, marketing-mix modeling, LLM application experience
Technologies
ClickHouse, Hex, PostHog, Stripe data
Responsibilities
Build and improve customer LTV and LTGP models accounting for incomplete histories; Ship LTGP as a live bidding signal in Meta and Google; Validate predictions via backtesting and calibration; Guide acquisition and pricing based on predicted payback; Model attribution and incrementality of marketing and sales; Connect customer economics to financial planning scenarios; Build reproducible Python code and lifecycle dashboards.
Seniority
Senior, hands-on IC
