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 Polaris Inc., we have fun doing what we love by driving change and innovation. We empower employees to take on challenging assignments and roles with an elevated level of responsibility in our agile working environment. Our people make us who we are, and we create incredible products and experiences that empower us to THINK OUTSIDE.
Position Overview:
The Senior Quality Data Scientist develops scalable advanced analytics and artificial intelligence solutions that transform complex data into actionable insights for identifying quality risks, supporting data-driven decisions, and improving product and operational performance. The role works across business and technical functions to translate quality needs into practical, production-ready solutions. You will apply statistical, machine-learning, and AI methods while maintaining appropriate data governance, privacy, security, explainability, human oversight, and documentation standards. This office-based position requires timely analysis, escalation, and decision support in a fast-paced environment shaped by product quality, business risks, regulatory requirements, and executive priorities.
Key Responsibilities:
- Develop datasets, dashboards, metrics, models, and workflows for quality monitoring, risk identification, and performance measurement.
- Apply statistical process control, reliability and warranty analysis, root-cause methods, predictive modeling, experimentation, and text analytics to identify product, manufacturing, safety, and customer risks.
- Build, validate, deploy, and monitor analytical and machine-learning solutions that identify underlying causes and emerging trends, provide actionable recommendations, and improve business performance.
- Develop AI-enabled quality solutions using generative AI, natural language processing, information extraction, anomaly detection, predictive models, and workflow automation.
- Partner with business and technical stakeholders to prioritize use cases and translate requirements into solutions based on user value, business impact, technical feasibility, and iterative feedback.
- Communicate findings, assumptions, limitations, and recommended actions to technical and nontechnical stakeholders, and measure solution adoption, performance, operational impact, and realized value.
- Provide technical guidance, peer review, and knowledge sharing on data science, statistical modeling, and AI practices to strengthen solution quality and analytical capability across the team.
Desired Competencies:
- Critical Thinking: You analyze information objectively, evaluate options, and apply sound judgment to solve problems and make informed decisions.
- Collaboration: You work effectively with others across functions and levels, contributing to shared goals while respecting different perspectives.
- Data & Analytical Literacy: You interpret data, metrics, or reporting to inform decisions, identify trends, and measure outcomes relevant to your role.
Qualifications:
- Bachelor's degree in Data Science, Statistics, Computer Science, Engineering, Mathematics, Data Analytics, or a related quantitative field.
- A minimum of five years of experience in data science, advanced analytics, AI, machine learning, or a related discipline.
- Experience developing, validating, deploying, and monitoring AI or machine-learning solutions for complex business problems.
- Proficiency with Python, SQL, statistics, predictive modeling, data preparation, and visualization, with the ability to communicate solutions and findings clearly.
- Experience applying data science or AI in quality, manufacturing, engineering, service, warranty, safety, customer experience, or another regulated environment preferred.
- Experience using Snowflake for machine-learning and AI development and deployment, including building user-facing applications with Streamlit, preferred.
- Ability to work effectively in an office-based environment with frequent interaction across business functions, technical teams, and leadership stakeholders.
- Ability to travel up to 5% depending on business needs and project requirements.
- This position is not eligible for sponsorship.
#LI-BM1
The starting pay range for Minnesota is $117,000 to $145,000 per year, with individual pay determined by factors including education, experience, knowledge, skills, and geography; starting pay is not commonly positioned at the high end or top of the range.
To qualify for this position, former employees must be eligible for rehire, and current employees must be in good standing.
We are an ambitious, resourceful, and driven workforce, which empowers us to THINK OUTSIDE. Apply today!
At Polaris we put our employees first, by offering a holistic approach to their health and financial wellbeing. Polaris is proud to offer competitive compensation, including a market-leading profit-sharing plan that is fundamental to our pay-for-performance culture. At Polaris, employees are owners of the company through company contributions to our Employee Stock Ownership Plan and discounted employee stock purchases plan. Employees receive a generous matching contribution to 401(k), financial wellness education and consultation to plan for their financial future. In addition to competitive pay, Polaris provides a comprehensive suite of benefits, including health, dental, and vision insurance, wellness programs, paid time off, gym & personal training reimbursement, life insurance and disability offerings. Through the Polaris Foundation and our Polaris Gives paid volunteer time off, we support employees who actively volunteer their time, efforts, and passions to improve the health and wellbeing of the communities in which they live, play and work. Employees at Polaris drive our success and are rewarded for their commitment.
About Polaris
As the global leader in powersports, Polaris Inc. (NYSE: PII) pioneers product breakthroughs and enriching experiences and services that have invited people to discover the joy of being outdoors since our founding in 1954. Polaris' high-quality product line-up includes the Polaris RANGER®, RZR® and Polaris GENERAL™ side-by-side off-road vehicles; Sportsman® all-terrain off-road vehicles; military and commercial off-road vehicles; snowmobiles; Slingshot® moto-roadsters; Aixam quadricycles; Goupil electric vehicles; and pontoon and deck boats, including industry-leading Bennington pontoons. Polaris enhances the riding experience with a robust portfolio of parts, garments, and accessories. Proudly headquartered in Minnesota, Polaris serves more than 100 countries across the globe.
EEO Statement
Polaris Inc. is an Equal Opportunity Employer and will make all employment-related decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, national origin, age, disability, marital status, familial status, status with regard to public assistance, membership or activity in a local commission, protected veteran status, or any other status protected by applicable law. Applicants with a disability that are in need of an accommodation to complete the application process, or otherwise need assistance or an accommodation in the recruiting process, should contact Human Resources at 800-765-2747 or Talent.Acquisition@Polaris.com. To read more about employment discrimination protection under U.S. federal law, see: Know Your Rights: Workplace Discrimination is Illegal (eeoc.gov).
See All 15 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



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 Target, General Mills, and IWCO, per current listings on Migrate Mate as of November 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, Anoka, and Medina 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 88% of data scientist openings tied to Minnesota are remote or hybrid as of November 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 15 Data Scientist Jobs in Minnesota
Find roles in Minnesota that match your experience and apply in just a few clicks.
Find Data Scientist Jobs