Lead Data Scientist II
Tasks
- Build end-to-end machine learning pipelines
- Build high performance machine learning models
- Create audit-ready documentation
- Deploy machine learning models
- Design experiments and challenger models
- Ensure model explainability and transparency
- Evaluate model performance
- Integrate models into marketing strategies
- Monitor model performance
- Perform feature engineering
- Validate and govern machine learning models
Perks/Benefits
- N/A
Skills/Tech-stack
Experiment design | Feature Engineering | Machine Learning | Model Governance | Model Monitoring | Model Validation | NumPy | Pandas | Python | SQL | Scikit-learn | Statistical modeling
Education
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