Data Scientist, Product Analytics
Tasks
- Apply quantitative analysis to product problems
- Build and maintain data pipelines
- Collaborate on success metrics and product roadmaps
- Conduct predictive analysis and forecasting
- Define monitor product metrics
- Design & evaluate experiments
- Develop self service data visualization interfaces
- Integrate AI tools into analytics workflows
- Mine and analyze large data sets
- Perform statistical modeling
- Provide analytical guidance on data collection and interpretation
- Translate analysis into narratives and recommendations
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | B testing | Causal Inference | Dashboards | Data Mining | Data Pipelines | Data Visualization | Difference-in-differences | Experiment design | Forecasting | Instrumental Variables | Machine Learning | Predictive Modeling | Python | R | SQL | Series analysis | Statistical modeling | Synthetic control | Time Series | Time Series Analysis
Education
Roles
Regions
Countries
States
Cities
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