Principal Data Scientist
Tasks
- Acquire and clean structured and unstructured data
- Analyze trends risks and business opportunities
- Author technical documentation for lineage and production changes
- Create business facing presentations reports and dashboards
- Develop statistical modeling machine learning and advanced analytics solutions
- Evaluate model performance and business impact
- Evaluate new analytics tools and processes
- Investigate and adopt advanced machine learning and AI innovations
- Maintain audit compliant model governance documentation
- Monitor model health and detect drift
- Provide peer review and technical guidance to data science team
- Transition prototypes to production with MLOps and IT
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | AWS | Azure | Azure DevOps | B testing | Data Lineage | ETL | Frequency Severity | Frequency severity models | GLM | Gamma | Git | Google Cloud | K-Means | Loss Ratio | Loss modeling | Machine Learning | Partial Dependence | Partial Dependence Plots | Poisson | Pure premium | Python | SHAP | SQL | Scikit-learn | Severity models | Supervised Learning | Tweedie | Unsupervised Learning | XGBoost
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
Data Scientist | Principal | Principal Data Scientist | Scientist
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