Data Science Analyst II
Tasks
- Audit and remediate model performance
- Automate recurring modeling outputs
- Build and maintain ETL pipelines
- Build and test prototypes for deployment
- Develop and deploy predictive machine learning models
- Develop dashboards and interactive tools
- Ensure workflows comply with HIPAA and security standards
- Evaluate AI ML tools and cloud technologies
- Implement reproducible scripts for analytics
- Integrate structured and unstructured data
- Lead small data science projects
- Mentor junior analysts
- Monitor models for performance and drift
- Perform feature engineering and hyperparameter tuning
- Present insights to clinical and operational leaders
- Translate ambiguous requirements into analytical methods
- Validate data quality and accuracy
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Azure | CI/CD | Clinical informatics | Dashboards | Data Pipelines | Data Quality | Data Validation | Data Visualization | ETL | FHIR | Feature Engineering | Google Cloud | Hyperparameter Tuning | MLOps | Machine Learning | Model Drift | Model Monitoring | OMOP | Predictive Modeling | Python | SQL | Statistical modeling
Education
Roles
Analyst | Data Science | Data Science Analyst | Data Scientist | Scientist
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