Product Data Scientist
Tasks
- Automate feature pipelines and retraining
- Build churn retention and activation models
- Build pricing promo and refund risk models
- Detect patterns in product usage data
- Develop propensity uplift and predictive segmentation models
- Forecast subscriber revenue and LTV
- Perform uplift modeling experimentation and causal analysis
- Run sensitivity analysis on monetization assumptions
- Ship predictive models for personalized in app experiences
- Train deploy and monitor models in production
Perks/Benefits
- 401k match
- Flexible work schedule
- Learning and development stipend
- Paid parental leave
- Paid time off
- Volunteer time off
- Work from anywhere
Skills/Tech-stack
A/B | A/B Testing | AWS | B testing | Causal Inference | Databricks | Experiment design | Feature Engineering | Machine Learning | Model Monitoring | Python | SQL | Uplift Modeling
Education
N/A
Roles
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