Data Scientist – Onshore

🔥 7 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

📊 Data Scientist

👻 Ghost score 11%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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v4c.ai

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

🏥 Healthcare

🏭 Manufacturing

Consulting • Healthcare • Manufacturing

v4c. ai is a Databricks-focused data and AI services firm that helps enterprises modernize data platforms and accelerate AI initiatives. They provide advisory, migration, MLOps, generative AI, and data governance services, plus prebuilt migration accelerators and production-ready ML pipelines to reduce time-to-value. v4c. ai serves regulated and data-intensive industries (financial services, retail, manufacturing, healthcare) and emphasizes Databricks implementation, scalable model deployment, and long-term operational support.

📋 Description

• 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

🎯 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, including data matching and deduplication, entity resolution, golden/master records, data standardization, data quality, and 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 • 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