Data Scientist
New
V
V4CHealthcare Analytics
United StatesFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 8+ years
- Required Skills
- PythonSQLMachine LearningDatabricksHIPAAPySpark
Requirements
- 8+ years of experience in Data Science, Machine Learning, Advanced Analytics, or a related field.
- Strong hands-on experience with Databricks and PySpark.
- Advanced Python and SQL skills.
- Experience developing and deploying machine learning or predictive models.
- Strong understanding of Master Data Management (MDM) concepts (data matching, deduplication, entity resolution, master records).
- Experience working with large-scale structured and semi-structured datasets.
- Experience with Delta Lake / Lakehouse architecture.
- Strong understanding of data governance, data quality, and data lineage.
- Experience working with healthcare, payer, provider, patient, or other regulated data is preferred.
- Experience working in a HIPAA-regulated environment is highly desirable.
Responsibilities
- 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.
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