Data Scientist - Onshore (B)

V4C.ai; Northern (KY); Hybrid; USD 130,000 - 180,000; Full time

Job summary

V4C.ai seeks a Data Scientist to leverage Databricks, Python, and MDM expertise on large healthcare datasets, transforming disparate sources into analytics-ready data and building scalable ML solutions.

You will collaborate with Data Engineering, Analytics, and business stakeholders to deliver data-driven insights while ensuring data governance and HIPAA considerations are observed.

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 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 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.

Skills

Databricks

PySpark

Python

SQL

MDM concepts

Data governance

Data quality

Healthcare data

HIPAA

Tools

Delta Lake

MLflow

Informatica MDM

Reltio

IBM MDM

Job description

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.