Data Scientist Engineer
Tasks
- Communicate insights trade offs and recommendations
- Define KPIs and evaluation frameworks
- Deploy models into production
- Design experimentation strategies
- Develop machine learning models for real time industrial applications
- Drive validation and reproducibility best practices
- Ensure model robustness over time
- Frame production problems into data science problems
- Monitor models and detect drift
- Own end to end modeling pipeline
- Perform data exploration and feature engineering on sensor data
Perks/Benefits
- N/A
Skills/Tech-stack
AWS SageMaker | Anomaly Detection | CatBoost | Experimentation | Feature Engineering | LightGBM | MLOps | Machine Learning | Model Evaluation | Python | Scikit-learn | Series analysis | Statistical modeling | Time Series | Time Series Analysis | XGBoost
Education
Roles
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