Senior Data Scientist
Tasks
- Build business dashboards
- Build predictive and behavioral models
- Conduct segmentation and churn analysis
- Define instrument and maintain metrics
- Design and execute A/B experiments
- Design and execute multivariate experiments
- Develop propensity models
- Perform causal inference using difference in differences
- Translate analytical findings into decision ready recommendations
- Use SQL for data analysis
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | B testing | Causal Inference | Classification | Data Governance | Databricks | Difference-in-differences | Gradient boosting | Multivariate Testing | Pandas | Power analysis | Propensity Modeling | PySpark | Python | R | Regression | Responsible AI | SQL | Scikit-learn | Segmentation | StatsModels | Time Series
Education
Roles
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