Lead Decision Scientist (Web)
Core
Strategic decision scientist partnering with product, marketing, and finance teams to drive web analytics roadmaps, establish causality, and influence business strategy through data.
Role type
Lead Decision Scientist (Web)
Builds
Web analytics roadmaps, causal inference frameworks, experimentation programs, and eCommerce data pipelines.
Domain
Consumer technology / eCommerce / Web analytics
Deliverable
production ML models | product features | dashboards & analysis | research | client delivery | infrastructure | physical/clinical work
Required skills
Causal inference methods, A/B testing design, SQL, Python/R, Google Analytics 4, Adobe Analytics, Data Engineering, Statistical analysis, Cross-functional stakeholder management
Preferred skills
Subscription business models, International analytics, Google Tag Manager, dbt, Revenue forecasting, LTV modeling
Technologies
Google Analytics 4, Adobe Analytics, Statsig, Optimizely, BigQuery, Databricks, Google Tag Manager, dbt
Responsibilities
Architect web analytics roadmaps and evangelize data-driven insights; Diagnose full-funnel user experiences and conversion drop-offs; Establish causality using A/B testing and causal inference methods; Develop metrics strategies to measure user behavior and business impact; Conduct in-depth analysis of consumer behavior to inform product and marketing strategies; Oversee eCommerce KPIs and build self-service reporting tools.
Seniority
Senior, hands-on IC