Senior Data Scientist
Tasks
- Build behavioral models
- Build business dashboards
- Build predictive models
- Conduct power analysis
- Conduct propensity methods analyses
- Define and maintain metrics
- Design and execute A/B tests
- Design and execute multivariate experiments
- Estimate churn and propensity
- Perform causal inference
- Run difference in differences analyses
- Segment users and donors
- Support responsible AI use and data governance
- Translate analysis into executive recommendations
- Use Python for data analysis and modeling
- Use R for data analysis and modeling
- Use SQL to analyze data
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | B testing | Behavioral Modeling | Business Intelligence | Causal Inference | Classification | Dashboard Development | Data Governance | Data Visualization | Databricks | Difference-in-differences | Gradient boosting | Machine Learning | Multivariate Testing | Pandas | Power analysis | Predictive Modeling | Propensity scoring | PySpark | Python | R | Regression | Responsible AI | SQL | Scikit-learn | Segmentation | StatsModels | Time Series
Education
Roles
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