Senior Data Scientist

Tasks

• Analyze datasets to generate product and risk insights
• Automate machine learning pipelines for training and deployment
• Build machine learning models for risk and underwriting
• Deploy models to production and monitor drift
• Develop and maintain performance dashboards
• Evaluate and benchmark model performance
• Extract and prepare data from multiple sources
• Perform feature engineering and data cleaning
• Provide data driven recommendations for underwriting optimization

Perks/Benefits

• Birthday off
• Health insurance after probation
• Hybrid work
• Learning and growth opportunities
• Paid time off
• Workcation

Skills/Tech-stack

Airflow | Data Drift | Data Warehousing | Docker | Explainability | Feature Engineering | Feature Stability | GBM | Gradient boosting | Hyperparameter Tuning | Machine Learning | Model Monitoring | Population Stability Index | Production Databases | Python | SHAP | SQL | Time Series | Tree-based Models | XGBoost