Data Scientist

Design and analyze experiments, including propensity-score matching for incrementality measurement where clean A/B tests aren't possible. Shape metric trees connecting team-level metrics to company outcomes, establish success criteria for product launches, and build predictive models to guide business focus. Root-cause anomalies, investigate nuanced behavioral questions, and build new analysis frameworks where existing patterns don't fit. Partner as an embedded expert with leaders in Product, Marketing, Sales, Finance, or Partnerships, turning ambiguous strategic questions into rigorous, decision-ready analysis. This role requires 5+ years in data science with demonstrated ownership of experimentation, causal inference, or predictive modeling. Strong SQL and Python skills are essential, along with experience using AI tools like Claude Code or Cursor. Clear communication with senior stakeholders is required.