Senior Data Scientist
Tasks
- Communicate insights to stakeholders
- Define KPIs and evaluation frameworks
- Deploy models to production
- Design machine learning models for real time industrial applications
- Drive modeling validation and reproducibility
- Implement monitoring and drift detection
- Lead feature engineering and data exploration
- Own end to end modeling pipeline
- Translate production challenges into data science problems
Perks/Benefits
Skills/Tech-stack
AWS SageMaker | Anomaly Detection | CatBoost | Cause analysis | Data Exploration | Data Preparation | Evaluation | Feature Engineering | LightGBM | MLOps | Machine Learning | Model Monitoring | Python | Root Cause Analysis | Root cause | Scikit-learn | Series analysis | Time Series | Time Series Analysis | XGBoost
Education
Roles
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