- Develop and productionize machine learning models, statistical analyses, and predictive analytics using Python and Databricks.
- Build and maintain scalable data science workflows using Databricks, PySpark, SQL, Delta Lake, and related cloud data technologies.
- Work with MDM processes and frameworks to establish consistent, accurate, and trusted master data across multiple source systems.
- Analyze and resolve data quality, duplication, matching, and entity-resolution issues across healthcare-related datasets.
- Partner with Data Engineering, Product, Analytics, and business stakeholders to translate healthcare business problems into data science solutions.
- Develop data validation, profiling, and quality-monitoring approaches to improve reliability of analytical datasets.
- Perform exploratory data analysis and identify trends, patterns, and insights that can support member engagement and healthcare outcomes.
- Contribute to feature engineering, model evaluation, experimentation, and deployment of data science solutions into production.
- Ensure data solutions follow applicable healthcare data privacy, security, and governance requirements, including HIPAA where applicable.
- Document models, datasets, assumptions, methodologies, and data lineage to support reproducibility and governance.
PythonSQLMachine Learning+3 more