Senior Data Scientist, Growth
Tasks
- Analyze channel performance
- Analyze experiment results
- Build cohort performance by channel
- Build growth measurement foundation
- Calculate CAC
- Calculate LTV
- Compute LTV to CAC ratio
- Create channel hierarchy
- Define event taxonomy
- Define measurement plan
- Define unit economics metrics
- Design growth experiments
- Develop attribution model
- Measure ROAS
- Measure payback period
- Operationalize unit economics
- Set up reporting infrastructure
- Stand up acquisition analytics
- Support data and analytics capability
- Translate early signals into recommendations
- Turn findings into recommendations
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | Attribution Modeling | B testing | CAC modeling | Causal Inference | Cohort Analysis | Data Pipelines | Event taxonomy | Holdout testing | Incrementality | LTV modeling | Python | ROAS) | SQL
Education
N/A
Roles
Regions
Countries
States
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