Manager
Tasks
- Analyze campaign measurement
- Apply model explainability methods
- Conduct exploratory data analysis
- Design A/B tests
- Develop campaign response models
- Develop propensity models
- Develop segmentation frameworks
- Manage model lifecycle
- Monitor model degradation
- Monitor model drift
- Perform bias testing
- Perform feature engineering
- Run champion challenger evaluations
- Validate model performance
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | B testing | Bias Testing | Campaign Response Modeling | Classification | Customer Segmentation | Data Analysis | Data Drift | Exploratory Data Analysis | Feature Engineering | LIME | LightGBM | Machine Learning | Model Fairness | Model Monitoring | NumPy | Pandas | Propensity Modeling | Python | Regression | Response Modeling | SHAP | SQL | Scikit-learn | Supervised Learning | Unsupervised Learning | XGBoost
Education
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