Data Scientist
Clay Labs, San Francisco
What you will do
Own causal inference and experimentation
Design and analyze experiments, and build incrementality measurement where clean A/B tests aren't possible (e.g., propensity-score matching to estimate true lift of features and GTM channels).
Define how we measure the business
Shape metric trees that connect team-level metrics to company outcomes, establish success criteria for product launches, and build frameworks for sizing and forecasting impact. Build predictive models that lead our team to focus on what matters most.