Senior Manager, Data Science - Patient Growth
New York, New York, United States; San Francisco, California, United States; Seattle, Washington, United States
USD 212K-265K Senior-level Full Time
Tasks
- Analyze incrementality using tests holdouts lift studies
- Build canonical metrics framework CAC LTV payback cohort value capacity adjusted ROI
- Create causal uplift models for marketing decisions
- Create experimentation and analysis templates for channel and creative testing
- Design geo tests and quasi experimental approaches
- Develop LTV forecasting and cohort value prediction models
- Hire talent and grow team culture focused on outcomes
- Lead coach and develop data science team
- Own marketing measurement strategy
- Partner with engineering on measurement infrastructure event instrumentation identity resolution offline conversions data quality monitoring
- Perform saturation analysis for channel optimization
- Provide technical review and decision ready outputs
Perks/Benefits
- 401k
- Carrot fertility reimbursement
- Employee Assistance Program (EAP)
- Equity compensation
- Flexible PTO
- HSA/FSA
- Holiday break
- Medical, dental & vision coverage
- Paid Holidays
- Parental leave
- Therapy reimbursement
- Training and professional development
- Work from home stipend
Skills/Tech-stack
CAC LTV Payback Modeling | Causal Inference | Causal Uplift Modeling | Cohort Analysis | Cohort Value Prediction | Conversion Tracking | Data Quality | Data Science | Data quality monitoring | Event instrumentation | Experimental Methods | Experimentation Design | Geo-experiments | Holdout testing | Identity resolution | Incrementality testing | LTV forecasting | Lift studies | Marketing Analytics | Offline conversion tracking | Payback modeling | Python | Quality monitoring | Quasi-experimental methods | R | SQL | Saturation Analysis | Series analysis | Time Series | Time Series Analysis | Uplift Modeling
Education
N/A
Regions
Countries
States
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