Lead data scientist for AI/ML model validation, responsible for assessing model purpose, assumptions, and performance.
Requirements
- Independent assessment of AI/ML/data science models
- Evaluation of feature engineering, data quality, and model performance
- Model validation using suitable metrics and methodologies
- Assessment of model stability, robustness, and sensitivity
- Application of model explainability methods
- Comprehensive model validation reporting
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