Product Data Scientist
Tasks
- Analyze experimentation results
- Build measurement framework
- Collaborate with product managers and engineers
- Communicate results to non-technical audiences
- Conduct exploratory data analysis
- Create dashboards and reporting
- Define key metrics
- Design AB tests
- Develop instrumentation
- Model customer lifetime value using regression
- Support causal inference analyses
- Translate insights into product recommendations
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | B testing | Bayesian Methods | Causal Inference | Data Visualization | Difference-in-differences | Looker | Multiple Testing Correction | Multiple testing | Power Calculations | Propensity score | Python | SQL | Synthetic control | Tableau
Education
N/A
Roles
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