Senior Data Scientist
Tasks
- Architect advanced analytics solutions
- Define model documentation and audit artifacts
- Design model explainability fairness and robustness
- Develop predictive and machine learning models
- Ensure regulatory defensibility and auditability
- Evaluate emerging tools and modernization opportunities
- Identify analytical risks and data limitations
- Implement analytics in Microsoft cloud ecosystem
- Monitor model performance and retrain strategy
- Own end-to-end analytics lifecycle
- Present analytics results to senior leadership
- Translate business questions into production ready analytics
Perks/Benefits
- 401k match
- Company holidays
- Dental insurance
- Employee assistance program
- Employee wellness resources
- Flexible work arrangements
- Health insurance
- Paid time off
- Pet insurance
- Professional development opportunities
- Retirement savings employer contribution
- Tuition reimbursement
- Vision insurance
Skills/Tech-stack
Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure Machine Learning | Azure Synapse | Azure Synapse Analytics | Controlled experimentation | DAX | Data Cataloging | Data Factory | Data Governance | Data Lake Storage | Data Lineage | Data Warehouse | HIPAA | Lakehouse | Machine Learning | Microsoft Fabric | Microsoft Purview | Model Explainability | Model Risk Management | Model risk | Notebooks | NumPy | Pandas | Power BI | PyTorch | Python | Real Time | Real-time analytics | Reproducibility | Risk Management | SHAP | SQL | Scikit-learn | Stability analysis | Synapse Analytics | T-SQL | TensorFlow
Education
Roles
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