Senior Data Scientist
Tasks
- Build machine learning model pipelines
- Collaborate with risk underwriting and engineering teams
- Deploy and operationalize credit risk models
- Develop PD LGD EAD models
- Engineer risk model features
- Evaluate alternative data sources
- Implement feedback loops for continuous improvement
- Monitor production model drift and performance
- Present insights with clear documentation
- Train, validate, and evaluate models
- Troubleshoot data and model issues
Perks/Benefits
Skills/Tech-stack
Data Quality | Deep learning | Drift Detection | Experimentation | Feature Engineering | LightGBM | Logistic Regression | MLOps | Machine Learning | Model Governance | Model Monitoring | Model Validation | PySpark | Python | Random Forest | SQL | Statistical modeling | XGBoost
Education
N/A
Roles
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