AVP/VP, Data Scientist, Data Management Office
Tasks
- Apply model explainability methods SHAP LIME
- Assess model purpose assumptions features data inputs
- Collaborate with data scientists and model developers
- Contribute to AI ML proof of concept initiatives
- Detect data leakage and mis specified inputs
- Ensure responsible AI validation standards fairness transparency robustness
- Evaluate LLMs retrieval augmented systems agentic workflows prompt engineering
- Evaluate feature engineering and data quality
- Evaluate model performance using metrics validation
- Produce model validation reports
- Test stability robustness sensitivity drift adversarial attacks
Perks/Benefits
- N/A
Skills/Tech-stack
Adversarial Testing | Agentic Workflows | Artificial Intelligence | Concept drift | Data Quality | Data leakage | Data leakage detection | Feature Engineering | Feature Selection | LIME | Leakage detection | Machine Learning | Model Explainability | Model Performance Evaluation | Model Stability Testing | Model Validation | Model diagnostics | Model performance | Model stability | Performance Evaluation | Prompt engineering | Retrieval-Augmented Generation | SHAP | Stability Testing | Statistical modeling
Education
Roles
AVP | AVP Data Scientist | Data Scientist | Scientist | VP | VP Data Scientist
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