Data Scientist Jobs in Minnesota
Data Scientist jobs in Minnesota concentrate in healthcare analytics, financial services, retail technology, and agricultural supply chain intelligence, with demand spread from entry-level analyst positions to senior research scientists. Minneapolis and St. Paul anchor the majority of openings, followed by Rochester, where anchor employers like UnitedHealth Group, Target, and Mayo Clinic maintain large data science teams. The strongest in-demand specializations right now are machine learning engineering, health outcomes modeling, and customer analytics. Scan the live roles below and apply to whichever ones fit.
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At UnitedHealthcare, we're simplifying the health care experience, creating healthier communities and removing barriers to quality care. The work you do here impacts the lives of millions of people for the better. Come build the health care system of tomorrow, making it more responsive, affordable and optimized. Ready to make a difference? Join us to start Caring. Connecting. Growing together.
We are seeking a highly analytical and results-driven professional to support healthcare claims analytics, pricing accuracy, and operational performance initiatives. This role is responsible for leveraging large-scale healthcare claims data to generate actionable insights, improve claim estimation accuracy, validate business processes, and support enterprise claims adjudication and pricing strategies. The ideal candidate combines solid analytical and technical expertise with a deep understanding of healthcare claims data, enabling effective collaboration across business, operations, product, and technology teams.
You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges.
Primary Responsibilities:
Data Analytics & Insights:
- Analyze large-scale healthcare claims datasets to identify trends, patterns, anomalies, and opportunities for improving cost accuracy, benefit validation, and operational efficiency
- Conduct deep-dive analyses of claim performance metrics, including cost estimate accuracy, denial drivers, benefit validation outcomes, and claim adjudication results
- Translate complex analytical findings into clear, actionable recommendations that support business decision-making and operational improvements
- Develop analytical frameworks and performance measurement methodologies to evaluate claim outcomes and drive continuous process optimization
Data Engineering & Model Development:
- Develop, enhance, and maintain data pipelines, datasets, and analytical models that support claims processing, pricing, and estimation workflows
- Partner with engineering and data teams to ensure data quality, consistency, and reliable integration across enterprise data sources and platforms
- Support the design and implementation of scalable analytical solutions that enable efficient reporting, monitoring, and decision support
Claims Validation & Testing:
- Leverage data from enterprise claims platforms, including CSP Facets and related adjudication systems, to validate business logic, investigate data discrepancies, and ensure alignment between estimated and actual claim outcomes
- Design and execute analytical testing strategies for trial claims, MBO validation runs, and large-scale claims testing initiatives
- Measure and compare performance across claim adjudication engines, identifying root causes of variance and recommending corrective actions
- Support defect identification, root cause analysis, and validation efforts throughout the claims lifecycle
Cross-Functional Collaboration:
- Collaborate with product, operations, business, and technology stakeholders to support strategic initiatives related to claim estimation, adjudication, pricing accuracy, and operational excellence
- Partner with subject matter experts to define requirements, validate methodologies, and ensure business objectives are accurately translated into analytical solutions
- Serve as a trusted advisor by providing data-driven insights and recommendations to support program planning and decision-making
Reporting & Visualization:
- Build and maintain dashboards, reports, scorecards, and visualizations that communicate performance metrics and key insights to stakeholders and leadership
- Present findings and recommendations to both technical and non-technical audiences, ensuring clear understanding of business impacts and opportunities
- Monitor key performance indicators and proactively identify emerging trends or potential risks
Continuous Improvement & Automation:
- Identify opportunities to automate recurring analytical processes and improve operational efficiency
- Support continuous improvement initiatives through process optimization, advanced analytics, and data-driven recommendations
- Contribute to the development of scalable analytical tools, testing frameworks, and reusable reporting assets
You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.
Required Qualifications:
- 5+ years of experience in healthcare analytics, claims analytics, data science, or a related analytical role
- Solid knowledge of healthcare claims processing, claim adjudication, pricing methodologies, and benefit structures
- Experience working with healthcare claims platforms such as Facets, CSP, or other enterprise claims adjudication systems
- Advanced SQL and data analysis skills, including experience with large datasets and cloud-based analytics platforms (Databricks, Snowflake, Azure, etc.)
- Proficiency in data visualization and reporting tools such as Power BI, Tableau, or similar platforms
- Experience presenting analytical findings to both technical teams and executive stakeholders
- Solid problem-solving, analytical thinking, and communication skills
All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy
Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $91,700 to $163,700 annually based on full-time employment. We comply with all minimum wage laws as applicable.
Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.
At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.
UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.
UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.
See All 23 Data Scientist Jobs in Minnesota
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Find Data Scientist JobsData Scientist Jobs by City in Minnesota
Where Minnesota roles are concentrated, by current openings.
Data Scientist Job Market in Minnesota
A snapshot from current Minnesota openings, updated as new roles post.
Who's Hiring



Top Industries Hiring
- Insurance
- Energy
- Healthcare & Medical Services
- Consulting & Professional Services
What Minnesota Employers Look For
The qualifications that appear most often in data scientist jobs across Minnesota.
- Bachelor's or master's degree in statistics, computer science, mathematics, or a related quantitative field
- Proficiency in Python or R for data manipulation, modeling, and statistical analysis
- Experience with machine learning frameworks such as scikit-learn, TensorFlow, or PyTorch
- Hands-on skills with SQL and familiarity with cloud data platforms such as AWS, Azure, or Google Cloud
- Ability to communicate analytical findings clearly to non-technical business stakeholders
- Experience working with large structured and unstructured datasets in a production or research environment
Data Scientist Jobs in Minnesota: Frequently Asked Questions
How do you become a data scientist in Minnesota?
Most data scientist roles in Minnesota require at minimum a bachelor's degree in a quantitative discipline such as statistics, computer science, or applied mathematics, and employers in healthcare and finance increasingly prefer a master's degree. There is no state-issued license required to work as a data scientist in Minnesota. The practical path involves building a portfolio of projects, gaining experience with Python or R and machine learning tools, and targeting the Twin Cities market where hiring volume is highest.
How much do data scientists make in Minnesota?
Data scientists in Minnesota earn a median of about $128,800 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $65,730 for the lowest 10% to over $179,640 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire data scientists in Minnesota?
Companies currently hiring data scientists in Minnesota include Optum, UnitedHealthcare, and Target, per current listings on Migrate Mate as of September 2026. Minnesota's concentration of Fortune 500 headquarters in healthcare, retail, and financial services means demand for data scientists with domain expertise in those sectors is especially strong.
Which Minnesota cities have the most data scientist jobs?
Minneapolis, Eden Prairie, and Plymouth have the most data scientist openings in Minnesota. The Minneapolis-St. Paul metro drives the bulk of hiring because it is home to the headquarters of major corporations in healthcare, retail, and insurance, while Rochester's openings are concentrated around Mayo Clinic and its affiliated health system operations.
Are there remote data scientist jobs in Minnesota?
Yes, and more than most fields. About 94% of data scientist openings tied to Minnesota are remote or hybrid as of September 2026, reflecting how naturally this work translates to distributed teams. The portions of the role most likely to stay fully remote are modeling, analysis, and reporting work, while roles requiring close collaboration with clinical or operations teams tend to carry at least a hybrid expectation.
How can I get hired as a data scientist in Minnesota with little or no experience?
The most realistic entry path is targeting data analyst or business intelligence analyst roles at large Minnesota employers, then transitioning into data science as you build a modeling portfolio. UnitedHealth Group, Target, and Best Buy each run structured early-career and new-graduate programs that place candidates in analytically oriented roles without requiring years of experience. Community and four-year programs at the University of Minnesota and Minnesota State system campuses also offer project-based experience that strengthens applications considerably.
Where can I find and apply to data scientist jobs in Minnesota?
You can find and apply to data scientist jobs in Minnesota on Migrate Mate, which lists current openings from Minnesota employers. Search through the roles below, find the ones that match your background and preferences, and apply directly to each position that fits.
See All 23 Data Scientist Jobs in Minnesota
Find roles in Minnesota that match your experience and apply in just a few clicks.
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