Sr Data Scientist(SQL,Python,Data modeling,AWS,Azure)

Somerset Staffing • Minneapolis, MN

1d

About The Position

We need an embedded data scientist contractor to establish the foundational data architecture for a quality intelligence network and convert fragmented audit, regulatory, policy, and reporting work into a connected operating model. This role will begin in the Prior Authorization and Appeals experience and primarily support Audit Excellence & Strategy and Regulatory Management. The focus is to replace manual tracking, administrative documentation, and status reporting with governed data structures that enable analysis, root-cause identification, and structured process improvement. The contractor must work across inconsistent, manually maintained, and highly regulated inputs. They will build scalable, usable structures for requirement management, metric standardization, traceability, issue visibility, and enterprise-quality reporting. The outcome is a shift from administrative coordination to proactive quality management and reusable system design.

Requirements

• 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

Nice To Haves

• 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

Responsibilities

• Create and refine the core tables required to launch the program, including requirements, controls, metrics, artifacts, issues, and results.
• Establish a single, reusable source of truth for requirements across setup, reporting, policy, job aids, and related artifacts.
• Design structures and logic that eliminate repetitive reconciliation, reduce spreadsheet dependency, and remove one-off work.
• Free Audit and Regulatory teams from administrative tracking so they can focus on issue analysis, coordination, and process improvement.
• Design structures that help Regulatory Management answer policy and mandate-based questions, generate consistent requirement sets for PA implementation teams, improve traceability across requirements, setup, policies, and reporting, support state reporting and licensure data needs, and reduce the operational burden of policy management.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed