senior-data-scientist - Senior Data Scientist for AI and Data Systems
Provides workflows for statistical modeling, A/B testing, feature engineering, model evaluation, and causal inference.
Tags
Updated: 2026-09-21Capabilities
Typical Inputs
Typical Outputs
What this skill does
- Design A/B tests
- Calculate experiment sample size
- Build feature engineering pipelines
- Extract datetime features
- Evaluate machine learning models
- Log experiment runs to MLflow
- Estimate causal effects with DiD
Inputs
- Experiment specifications
- Raw feature datasets
- Model predictions
Outputs
- Experiment design files
- Engineered feature datasets
- Model evaluation reports
- MLflow experiment artifacts
Requirements
- Python 3
- Python libraries (NumPy, Pandas, Scikit-learn, SciPy, XGBoost, MLflow, Statsmodels)