Senior Data Scientist
Tasks
- Build machine learning models for real time industrial applications
- Communicate model insights and trade offs to stakeholders
- Define KPIs and evaluation frameworks
- Deploy models and support production impact
- Design experimentation strategies
- Ensure reproducibility and validation best practices
- Frame data science problems from production challenges
- Improve models through continuous iteration
- Monitor model robustness and detect drift
- Own end to end modeling pipeline
- Perform data exploration and feature engineering
Perks/Benefits
- N/A
Skills/Tech-stack
AWS SageMaker | Anomaly Detection | CatBoost | Cause analysis | Experimentation | Feature Engineering | LightGBM | MLOps | Machine Learning | Model Evaluation | Python | Root Cause Analysis | Root cause | Scikit-learn | Series data | Time Series | Time Series Data | XGBoost
Education
Roles
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