# Data Scientist - Onshore (B)

**Company:** [V4C.ai](null/companies/kb5Wja5n4RGDc2pq5FujAz.md)
**Location:** Remote
**Workplace:** remote

[Apply for this job](null/view/8e6c4471-7f69-4bbd-a29c-ea4f69664647)

## 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.
-   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