Data Scientist - Onshore (B)

V4C is seeking a Data Scientist with strong experience in Databricks, Python, machine learning, and Master Data Management (MDM) to help build data-driven solutions that support healthcare and member engagement initiatives. The ideal candidate will have experience working with large, complex healthcare datasets and transforming disparate data sources into reliable, analytics-ready data.

Key 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 member, provider, patient, and other 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.
  Required Qualifications

• 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, including:

• Data matching and deduplication

• Entity resolution

• Golden/master records

• Data standardization

• Data quality

• Reference/master data

• 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.

Preferred Qualifications

• Experience with healthcare member/patient data and healthcare data models.
• Experience with MDM platforms such as Informatica MDM, Reltio, IBM MDM, or similar technologies.
• Experience with cloud platforms such as Azure or AWS.
• Experience with MLflow or similar model lifecycle management tools.
• Experience with Power BI, Tableau, or other analytics/visualization platforms.
• Experience building production-grade ML/data science pipelines.
• Familiarity with healthcare interoperability standards such as FHIR, HL7, or claims data is a plus.
  Core Skills
  Data Science: Python, Machine Learning, Statistics, Predictive Analytics
  Databricks: Databricks, PySpark, Delta Lake, MLflow
  Data: SQL, Data Quality, Data Governance, Data Lineage, Data Modeling
  MDM: Master Data Management, Entity Resolution, Matching, Deduplication, Golden Records
  Healthcare: Healthcare Data, HIPAA, Patient/Member Data, FHIR/HL7
  Cloud: Azure/AWS