Data Science Manager Jobs in Minnesota
Data Science Manager jobs in Minnesota concentrate in financial services, retail analytics, and healthcare technology, with the Twin Cities metro anchoring the state's strongest market and secondary demand in Rochester and Bloomington. UnitedHealth Group, Target, and Mayo Clinic are among the most established Minnesota employers hiring at this level, covering everything from lead data scientist to director of analytics. The most in-demand specialties are machine learning engineering, business intelligence strategy, and clinical data analytics. See the openings below and apply to the ones that match your experience.
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The role – what you’ll do
Barr is looking for a Data Science Intern to join our digital solutions team for 2026–2027! The individual in this role will join a talented and collaborative team of professionals who will support the intern as they explore their interests and build their professional experience at the intersection of computer science, engineering, and environmental science. The intern will support various teams and projects, including data analysis, data infrastructure, artificial intelligence, and automation. The role will support both internal and client-facing initiatives.
Your impact – key responsibilities
Performing data analysis on environmental and engineering datasets
Developing processes that automate data transformation, analysis, and visualization
Working with artificial intelligence and machine learning initiatives, such as working with teams to deploy agentic systems
Collaborating with various teams to collect requirements and user stories to build digital tools and processes
Participating in process improvements and special projects as assigned
About the opportunity
Remote: a remote work arrangement may be considered for this position. A remote arrangement refers to working primarily from a home office. Remote arrangements will be considered based on candidate qualifications, local regulations, and Barr’s needs.
Work schedule: willingness to travel and periodically adjust personal schedule to meet project needs.
About you – required core competencies
Education: ongoing enrollment in management information systems, computer science, data science, or a related program, such as engineering with an emphasis on technology. Must have at least one semester to complete after the internship.
Skills:
Familiarity with coding in Python, SQL, and/or other programming languages
Familiarity with key concepts around artificial intelligence and machine learning
Familiarity with data systems and architectures
Proficiency with Microsoft Outlook, Word, and Excel
Excellent oral and written communication skills
Strong problem-solving skills and desire to learn
Strong team mentality with a willingness to assist where needed to contribute to the group’s success
Excellent attention to detail, accuracy, time management, and follow-through
Driver’s license: possession of a current, valid driver’s license and acceptable driving record.
Must be legally authorized to work in the United States without the need for sponsorship by Barr, now or in the future.
Helpful additional experience (not required)
Previous relevant internship experience
Experience evaluating environmental data
Compensation: anticipated range of $30.00–$38.00 per hour. Compensation will vary based on relevant experience, education, skill level, and other compensable factors. This position is classified as non-exempt (hourly) under the Fair Labor Standards Act.
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Benefits - what we offer
We are committed to providing an employee experience that attracts and retains top talent. That's why we offer a competitive package of employee benefits - including some unique offerings not found at other companies. At Barr, we also believe that learning doesn't stop when you get your degree, which is why we provide coaching, mentoring, and support for ongoing educational opportunities to foster professional development at every stage of your career.
Competitive, affordable insurance plans: Medical, dental, vision, life, disability, accidental death insurance, and flexible spending accounts for medical and dependent care
Retirement benefits: 401(k) retirement savings plan with company contribution and an Employee Stock Ownership Plan (ESOP) with company contribution in Barr stock
Profit distribution: Barr has a "no retained earnings" model and distributes all profit to our employees through our annual bonus distribution plan, ESOP, and dividends to shareholders
Professional development benefits: Annual time and expense allowances, mentorship program, and many internal training opportunities
Work/life balance: Paid time off, holidays, overtime for non-exempt/hourly staff, and compensatory time for exempt/salaried staff (time off or pay for extra time worked), paid family leave
Wellness focus: Ergonomic analysis and equipment, Personal Protective Equipment allowance, wellbeing-focused educational opportunities
Please note that benefits eligibility is determined and may change based on part-time, reduced-time, or full-time status.
About us - why choose Barr
At Barr, you'll join a community of engineers, scientists, and professionals who will help you achieve your ambitions and build a meaningful, rewarding career. You'll serve as a trusted advisor to clients who value Barr's tailored solutions and commitment to exceptional service.
As part of our employee-owned firm, you'll contribute to a culture of commitment and camaraderie where staff can thrive as professionals. We value diverse perspectives and experiences and believe an inclusive workplace is critical to our success.
To learn more about Barr's culture and values, visit: https://www.barr.com/Careers/Our-culture
Open positions at Barr Engineering Co. do not have application deadlines. Barr Engineering Co. is an equal opportunity employer, and all applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
See All 14 Data Science Manager Jobs in Minnesota
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Find Data Science Manager JobsData Science Manager Jobs by City in Minnesota
Where Minnesota roles are concentrated, by current openings.
Data Science Manager Job Market in Minnesota
A snapshot from current Minnesota openings, updated as new roles post.
Who's Hiring



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What Minnesota Employers Look For
The qualifications that appear most often in data science manager jobs across Minnesota.
- Bachelor's or master's degree in data science, statistics, computer science, or a closely related field
- Five or more years of hands-on data science experience with at least two in a leadership role
- Proficiency in Python or R and experience managing end-to-end machine learning pipelines
- Demonstrated ability to lead and mentor a team of data scientists or analysts
- Experience translating complex model outputs into actionable recommendations for business stakeholders
- Familiarity with cloud data platforms such as AWS, Azure, or Google Cloud in an enterprise environment
Data Science Manager Jobs in Minnesota: Frequently Asked Questions
How do you become a data science manager in Minnesota?
Most data science manager roles in Minnesota require a bachelor's degree at minimum, and many employers at large Minneapolis-Saint Paul firms prefer a master's in data science, statistics, or a related field. There is no state-issued license for this role in Minnesota. The typical path is to build several years of hands-on data science or analytics experience at a Minnesota employer, then move into a team lead or senior individual contributor role before stepping into management.
Which companies hire data science managers in Minnesota?
Companies currently hiring data science managers in Minnesota include Mayo Clinic, Polaris Industries, and Optum, per current listings on Migrate Mate as of September 2026. Minnesota's concentration of large healthcare, financial services, and retail headquarters means demand at this management level remains consistent throughout the year.
Which Minnesota cities have the most data science manager jobs?
Minneapolis, Rochester, and Medina have the most data science manager openings in Minnesota. The Twin Cities metro drives the majority of demand through its concentration of Fortune 500 headquarters in financial services and retail, while Rochester's openings are closely tied to Mayo Clinic's extensive health data and research operations.
Are there remote data science manager jobs in Minnesota?
Yes, and more than most fields. About 71% of data science manager openings tied to Minnesota are remote or hybrid as of September 2026, reflecting how much of the work centers on modeling, code review, and stakeholder presentations that travel well over video. The parts of the role most likely to require on-site presence are cross-functional workshops and managing direct reports through performance cycles.
How can I get hired as a data science manager in Minnesota with little or no experience?
The most realistic entry path is moving up from a senior data scientist or analytics engineer role at a Minnesota employer rather than applying directly to management. Target, UnitedHealth Group, and large Minnesota financial institutions run rotational analytics programs and associate data scientist tracks that build the portfolio and visibility needed for a first management step. Earning a cloud certification on AWS or Azure and contributing to a documented cross-functional project strengthens a candidacy significantly when formal management experience is thin.
Where can I find and apply to data science manager jobs in Minnesota?
You can find and apply to data science manager jobs in Minnesota on Migrate Mate, which lists current Minnesota openings from employers actively hiring at this level. Search the listings for roles that match your industry background and team size experience, then apply directly to the ones that fit.
See All 14 Data Science Manager Jobs in Minnesota
Find roles in Minnesota that match your experience and apply in just a few clicks.
Find Data Science Manager Jobs