Product Data Scientist
Tasks
- Analyze product usage patterns
- Build churn retention activation models
- Build feature pipelines and retraining cadence
- Build pricing promo and refund risk models
- Compute LTV by acquisition source
- Develop predictive segmentation propensity uplift models
- Forecast subscriber and revenue cohorts
- Perform uplift modeling and geo tests
- Replace static UI logic with algorithmic decisioning
- Run A B analysis and causal experiments
- Run sensitivity analysis on business assumptions
- Ship personalized in app models
- Train deploy and monitor ML models
Perks/Benefits
Skills/Tech-stack
AWS | Causal Inference | Databricks | Experimentation | Feature Engineering | Machine Learning | Model Monitoring | Predictive Modeling | Python | SQL | Uplift Modeling
Education
N/A
Roles
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