Data Scientist (Product Analytics)
Tasks
- Build metrics dashboards
- Build predictive models
- Build segmentation models
- Deliver data-driven recommendations
- Design and analyze A/B tests
- Design product event tracking
- Develop self-serve analytics tools
- Improve data instrumentation
- Investigate churn drivers
- Perform cohort analysis
- Run controlled experiments
- Translate product questions into analyses
- Validate funnels and retention
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | B testing | Churn analysis | Cohort Analysis | Data Modeling | Event Tracking | Experiment design | Funnel Analysis | Machine Learning | Predictive Modeling | Python | R | Retention analysis | SQL | Segmentation | Statistics
Education
N/A
Roles
Analyst | Data Analyst | Data Scientist | Product Analyst | Scientist
Regions
Countries
States
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