Principal Data Scientist
Tasks
- Advise clinical technical and executive stakeholders on AI tradeoffs and adoption paths
- Assess clinical and operational data readiness and define feature strategies
- Build and guide machine learning solutions on Databricks
- Define responsible AI evaluation strategies for bias explainability safety and drift
- Develop machine learning workflows using Azure Machine Learning
- Implement data quality checks and ensure model reproducibility
- Lead design and delivery of healthcare analytics and machine learning solutions
- Mentor data scientists and engineers and deliver reusable ML patterns
- Translate business and clinical questions into data science problem statements
- Validate model outputs with engineering teams to productionize solutions
Perks/Benefits
Skills/Tech-stack
Azure | Azure Machine Learning | Bias detection | CI/CD | Classification | Clustering | Data Lineage | Data Quality | Data platforms | Databricks | Databricks Notebooks | Delta Lake | Delta Lakehouse | Drift monitoring | Experiment tracking | Explainability | Feature Engineering | Governed Data | Governed Data Platforms | HIPAA | Language Processing | MLflow | Machine Learning | Model Deployment | Model Governance | Model Monitoring | Model Registry | Natural Language | Natural Language Processing | Predictive Modeling | Python | Regression | Responsible AI | Version control
Education
N/A
Roles
Data Scientist | Principal | Principal Data Scientist | Scientist
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