Lead Decision Scientist (Web)

Responsibilities: Act as a strategic partner for DTC and web teams to drive product decisions and resource allocation through analytical narratives. You will architect web analytics roadmaps, evaluate full-funnel user experiences, and implement statistically sound experimentation programs.

Requirements: Requires 6+ years of experience in analytics or decision science at a consumer product company with a quantitative degree. Must be proficient in SQL, Python/R, and web analytics tools like GA4, with demonstrated expertise in causal inference and experimentation.

Key skills: Causal Inference, A/B Testing, SQL, Python, R, Google Analytics 4, Adobe Analytics, Data Engineering, Statistical Inference, Multivariate Experimentation, Web Analytics, Conversion Rate Optimization, AI Tooling, dbt, Google Tag Manager, LTV Modeling

Keywords: Decision Science, DTC, Web Product, Causal Inference, A/B Testing, GA4, Adobe Analytics, SQL, Python, R, BigQuery, Databricks, Statsig, Optimizely, Google Tag Manager, Tealium, dbt, LTV Modeling, Incrementality Testing, Marketing Mix Modeling, eCommerce KPIs, Conversion Funnels, AI-Native, Claude Code, Subscription Model, Freemium, Revenue Forecasting