Senior Data Scientist

Tasks

• Analyze datasets to generate product and credit insights
• Automate machine learning pipelines for training and deployment
• Build machine learning models for risk and underwriting
• Deploy models to production and monitor stability and drift
• Develop model performance dashboards
• Evaluate and benchmark model performance
• Extract and prepare data from multiple sources
• Perform feature engineering and feature selection
• Recommend product optimization based on data

Perks/Benefits

• Annual bonus
• Birthday off
• Health insurance after probation
• Hybrid work
• Learning opportunities
• Paid donor days
• Salary review
• Workcation

Skills/Tech-stack

Airflow | Data Drift | Docker | Explainability | FastAPI | Feature Engineering | GBM | Google Cloud | Hyperparameter Tuning | Java | Machine Learning | Model Monitoring | Population Stability | Python | SHAP | SQL | Time Series | XGBoost