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Sr Data Scientist

Insight Global

Eden Prairie, MNJobNo compensation foundPosted 1mo agoSeen in employer's feed 6 days ago

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At a glance

Compensation
No compensation found
Location
Eden Prairie, MN
Work Authorization
Not specified

Requirements

Credentials this posting asks for.

Certified Data Management Professional (CDMP)Microsoft Certified: Azure Data ScientistAWS Certified Data Engineer

Job overview

Insight Global is hiring a Sr Data Scientist. The Senior Data Scientist will design and implement a foundational data model for a quality intelligence network. This role involves building and maintaining core tables for various data types, normalizing fragmented inputs into reusable structures, and creating logic to propagate requirements into reporting and operational outputs. The Data Scientist will also build auditable data flows to reduce manual reconciliation and deliver key outputs such as quality heatmaps and traceability views.

Key focus areas include 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, and Normalize fragmented inputs into repeatable, reusable structures.

Successful candidates bring Certified Data Management Professional (CDMP), Microsoft Certified: Azure Data Scientist, and Microsoft Certified: Azure Data Engineer. Important skills include SQL, Python, Data Modeling, Table Design, Working With Inconsistent Data, and Working With Manually Maintained Data. Preferred (not required): PA, Regulatory Data, Policy Data, and Building Reusable Data Assets.

Skills & qualifications

RequiredNice to have

Skills

SQLPythonData ModelingTable DesignWorking With Inconsistent DataWorking With Manually Maintained DataConvert Language-Based Requirements Into Structured LogicSupporting ReportingSupporting ComplianceSupporting AuditSupporting Regulated OperationsWork Independently in High-Ambiguity EnvironmentsDesign for GovernanceDesign for TraceabilityDesign for Audit DefensibilityHealthcarePBMPAAppealsPharmacy OperationsRegulatory DataPolicy DataAudit DataBuilding Self-Service ToolsBuilding Reusable Data Assets

Qualifications

Certified Data Management Professional (CDMP)Microsoft Certified: Azure Data ScientistMicrosoft Certified: Azure Data EngineerAWS Certified Data EngineerAWS Certified Data AnalyticsCMS ExperienceNCQA ExperienceURAC ExperienceERISA ExperienceState DOI Experience

Full job description

Job Description

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

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to [email protected] learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Skills and 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 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

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