Lead Product Data Scientist
Tasks
- Build predictive models for churn risk
- Build uplift models for proactive decisions
- Conduct user behavior and segmentation analysis
- Define experimentation standards and best practices
- Design experiments and conduct hypothesis testing
- Develop product metrics and dashboards
- Drive product analytics for mobile app
- Establish analytics best practices and standards
- Interpret experiment results and recommend actions
- Own end to end AB testing process
- Partner with product and engineering on data driven strategy
- Translate insights into product recommendations
Perks/Benefits
- Equal opportunity workplace
- Equity compensation
- Private health insurance coverage
- Stocked office kitchen snacks drinks
- Work From Home Monday and Friday
Skills/Tech-stack
A/B | A/B Testing | B testing | Causal Inference | Churn modeling | DBT | Dashboarding | Data Modeling | Data Visualization | Experiment design | Hypothesis Testing | Machine Learning | Metrics development | Python | SQL | Statistical Analysis | Uplift Modeling
Education
N/A
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