Senior Data Scientist
Tasks
- Collaborate on analytical data models and feature stores
- Conduct architecture solution design discussions
- Define analytics use cases and delivery plans
- Deploy models to cloud analytics platforms
- Design MLOps model versioning monitoring and retraining
- Design develop and review machine learning models
- Ensure model explainability stability and governance
- Handle imbalanced datasets and weak labels
- Lead machine learning solution delivery
- Manage client relationships and stakeholder demos
- Monitor model drift and performance
- Perform feature engineering on insurance datasets
- Select train validate and tune models
- Support UAT and model acceptance criteria
- Translate business rules into ML features
- Work with offshore data science teams
Perks/Benefits
- N/A
Skills/Tech-stack
Bias Mitigation | CI/CD | Classification | Cloud Computing | Explainable AI | Feature Engineering | Feature Store | Imbalanced classification | LightGBM | MLOps | Machine Learning | Model Drift | Model Evaluation | Model Monitoring | Model versioning | Pandas | Python | Regression | SQL | Scikit-learn | Segmentation | Statistical modeling | XGBoost
Education
N/A
Roles
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