Related skills
r sql python incrementality event_instrumentationπ Description
- Own marketing measurement and growth analytics across channels
- Build canonical metrics: CAC, LTV, payback, ROI
- Design geo tests, holdouts, lift studies
- Develop scalable models: LTV, uplift, cohort value
- Instrumentation and data quality with Eng on infra
- Lead and grow the data science team (2 to 10)
π― Requirements
- 8+ years in data science, analytics, or growth analytics
- 3+ years managing data scientists or analysts
- Deep expertise in causal inference and incrementality
- Strong SQL and Python or R
- Ability to translate growth questions into structured analysis
- Build and review analytical workflows; communicate with Marketing/Finance
π Benefits
- Equity compensation
- Medical, Dental, and Vision coverage
- HSA / FSA
- 401K
- Work-from-Home stipend
- Therapy reimbursement
- 16-week parental leave for eligible employees
- Flexible PTO
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