Data Scientist
Tasks
- Build machine learning models
- Deploy models to production
- Develop machine learning pipelines
- Evaluate and benchmark models
- Generate performance dashboards
- Monitor model performance and drift
- Perform feature engineering
- Prepare data from multiple sources
- Provide data-driven product recommendations
Perks/Benefits
- Birthday off
- Health insurance after probation
- Hybrid work model
- Learning and growth opportunities
- Paid blood donor days
- Workcation
Skills/Tech-stack
Airflow | Docker | Explainability | FastAPI | Feature Engineering | Feature Stability | Google Cloud | Gradient Boosting Machines | Gradient boosting | Hyperparameter Tuning | Java | Machine Learning | Model Monitoring | Population Stability | Python | SHAP | SQL | Time Series | XGBoost
Education
N/A
Roles
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