Director, Data Science & Analytics
Tasks
- Build forecasting models for demand and engagement
- Conduct cohort analyses
- Define growth metrics and models
- Design experiments and analyze A B test results
- Develop customer segmentation models
- Establish analytics standards and methodologies
- Lead churn modeling and mitigation recommendations
- Model customer value for acquisition and retention
- Present insights and forecasts to executives
- Share modeling outcomes with technical and non technical teams
- Translate analytical findings into executive narratives
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | B testing | Cohort Analysis | Experimentation | Lifecycle analytics | Python | SQL | Statistical modeling | Tableau
Education
Regions
Countries
States
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