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

Codetech • Minneapolis, MN

14h

About The Position

An embedded data scientist contractor will establish foundational data architecture for a quality intelligence network, connecting fragmented audit, regulatory, policy, and reporting work into a governed operating model. The role begins in the Prior Authorization and Appeals experience and primarily supports Audit Excellence & Strategy and Regulatory Management. It focuses on replacing manual tracking, administrative documentation, and status reporting with data structures that enable analysis, root-cause identification, and structured process improvement across inconsistent, manually maintained, and highly regulated inputs.

The contractor will build scalable structures for requirement management, metric standardization, traceability, issue visibility, and enterprise-quality reporting. The intended outcome is a shift from administrative coordination to proactive quality management and reusable system design.

Success includes building and governing core tables for requirements, controls, metrics, artifacts, issues, and results; establishing a reusable source of truth for requirements; reducing repetitive reconciliation and spreadsheet dependency; and helping teams focus on issue analysis, coordination, and process improvement. The role will also support Regulatory Management with policy- and mandate-based questions, consistent requirement sets for Prior Authorization implementation teams, traceability across requirements, setup, policies, and reporting, state reporting and licensure data needs, and reduced policy-management burden.

The first usable version of the program should reduce friction across teams. Desired outcomes include a reusable requirements repository linked to policy, setup, and reporting; reduced manual reconciliation and recurring spreadsheet work; clear ownership of reporting and requirement outputs; and a functioning quality intelligence network.

Requirements

• Strong SQL and Python skills.
• Experience in 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 or Data Engineer.
• AWS Certified Data Engineer or Data Analytics certification.
• Healthcare, PBM, Prior Authorization, 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 foundational tables for requirements, controls, metrics, artifacts, issues, and results.
• Establish a reusable, single source of truth for requirements across setup, reporting, policy, job aids, and related artifacts.
• Design data structures and logic to reduce repetitive reconciliation, spreadsheet dependency, and one-off administrative work.
• Enable Audit and Regulatory teams to focus on issue analysis, coordination, and process improvement rather than administrative tracking.
• Help Regulatory Management answer policy- and mandate-based questions and generate consistent requirement sets for Prior Authorization 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.
• Make reporting and requirement ownership gaps visible and improve at least one high-friction workflow end to end.
• Design governed, traceable, audit-defensible data assets that support reusable quality management.

What This Job Offers

• Career Level: Senior
• Education Level: No Education Listed