Sr Data Scientist

Design and implement the foundational data model for a quality intelligence network

Build and maintain core tables for requirements, controls, metrics, artifacts, issues, and results

Normalize fragmented inputs into repeatable, reusable structures

Create logic to propagate requirements into reporting, policy, and operational outputs with defined verification steps

Build auditable data flows that reduce manual reconciliation and recurring spreadsheet work

Deliver outputs such as requirement inventories, quality heatmaps, traceability views, and issue intelligence reporting

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Strong SQL and Python

Data modeling and table design for complex operational environments

Experience working with inconsistent or manually maintained data

Ability to convert language-based requirements into structured logic

Experience supporting reporting, compliance, audit, or regulated operations

Ability to work independently in high-ambiguity environments Certified Data Management Professional (CDMP)

Microsoft Certified: Azure Data Scientist / Data Engineer

AWS Certified Data Engineer or Data Analytics

Healthcare, PBM, PA, Appeals, or pharmacy operations experience

Experience with regulatory (CMS, NCQA, URAC, ERISA, state DOI), policy, or audit data

Experience building self-service tools and reusable data assets

Ability to design for governance, traceability, and audit defensibility