Data Scientist (Machine Learning focus)
Tasks
- Apply causal inference
- Collaborate with operations scheduling finance and IT
- Conduct forecasting
- Deploy models to production
- Design machine learning models
- Develop optimization approaches
- Monitor model performance
- Run experimentation
- Track KPIs
- Translate data into actionable solutions
- Tune algorithms
- Write production-quality Python code
Perks/Benefits
- Birthday day off
- Flexible schedule
- Flexible vacation
- Free coffee
- Free fresh fruit
- Gym membership discount
- Health insurance support
- Hybrid work
- Training opportunities
- Travel discounts
Skills/Tech-stack
AWS | Azure | CI/CD | Databricks | Delta Lake | Docker | Feature Engineering | Git | LightGBM | MLOps | MLflow | Machine Learning | Model Evaluation | Monitoring | NumPy | Optuna | Pandas | PostgreSQL | Power BI | PySpark | Pytest | Python | Redshift | Reproducibility | SHAP | SQL | SciPy | Scikit-learn | Testing | Version control
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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