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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Donaldson is committed to solving the world’s most complex filtration challenges. Together, we make cool things. As an established technology and innovation leader, we are continuously evolving to meet the filtration needs of our changing world. Join a culture of collaboration and innovation that matters and a chance to learn, effect change, and make meaningful contributions at work and in communities.
The Modeling and Data Science Graduate Level Intern will help advance practical engineering and data solutions for filtration research and product development. Working with the Modeling and Data Science team, the graduate level intern will gain valuable hands-on experience at the intersection of engineering simulation, software development, data engineering, and data science by developing next-generation digital engineering capabilities that help accelerate innovation and product development at Donaldson.
The Donaldson internship program provides innovative students with meaningful, hands-on experience in a collaborative industry environment. Through real-world projects, mentorship, and development opportunities, we aim to support career growth and build professional talent aligned with our values and goals.
Qualified candidates must be able to work an on-site schedule at our Bloomington, MN facility.
Role Responsibilities:
- Own a scoped technical project from problem definition to development and final recommendations.
- Build and evaluate Python-based engineering or data-science workflows using version-controlled, reproducible methods.
- Prepare, clean, validate, and analyze simulation or laboratory datasets; document data quality issues and assumptions.
- Develop and test models or applications such as deep-learning surrogates, reduced-order models, data-ingestion tools, or parameterized geometry workflows.
- Develop a parameterized geometry workflow for simulation setup, simulation execution, and results evaluation.
- Compare simulation results, laboratory results, or baseline engineering methods using appropriate technical metrics or baseline engineering methods.
- Collaborate with simulation engineers, data scientists, and subject-matter experts to interpret practical requirements.
- Document architecture, methods, assumptions, and recommended next steps so the work can be extended after the internship.
- Provide progress updates, incorporate technical feedback, and communicate findings to both technical and non-technical stakeholders. Follow Donaldson requirements for data access and security.
Travel : Up to 5%.
Minimum Qualifications:
- Currently pursuing a graduate degree in mechanical engineering, aerospace engineering, computer science, data science, data engineering, applied mathematics, or a related technical field.
- Coursework or project experience using Python for data analysis, numerical methods, machine learning, scientific computing, or application development.
- Experience working with technical datasets and communicating methods and results through written documentation or presentations. Must be U.S. persons (U.S. Citizen, U.S. Permanent Resident (i.e., 'Green Card Holder'), Political Asylee, or Refugee).
Preferred Qualifications:
- Graduate-level study or research experience in computational fluid dynamics, machine learning, scientific computing, or data engineering.
- Experience or project work in any subset of these areas:
- Deep-learning methods for spatial or high-dimensional data, including designing neural networks architectures and training models using structured datasets.
- CFD software and flow-field data, including pressure, velocity, pressure-drop, or particle-transport results.
- Reduced-order modeling, surrogate modeling, regression, validation, uncertainty analysis, or model performance metrics.
- Experience with SQL, Snowflake or another cloud data warehouse, Streamlit, data validation, and layered data pipelines.
- CAD, parameterizing geometry, 3D scanning, or scan-to-CAD workflows.
- Familiarity with Git, software architecture, or AI-assisted development tools such as GitHub Copilot.
- Ability to gather requirements from engineers or laboratory users and convert them into a clear technical scope. Strong problem-solving, technical communication, collaboration, and ability to work through an open-ended development problem.
Relocation: This position is not eligible for relocation assistance.
Hourly Pay Rate : $29.00 - 32.00 , depending on projected undergraduate graduation date, educational degree in progress and major of study upon time of hire.
This position is overtime eligible as per state and federal regulations.
Employee benefits are part of the total rewards package that Donaldson Company, Inc. provides to you. Our benefits program includes retirement plan (401k), paid time away – sick and safe time (MN only), and the employee assistance program.
Immigration Sponsorship Not Available:
- Applicants for this position must be currently and legally authorized to work in the United States without the need for current or future sponsorship (e.g., H-1B, J-1, F-1, CPT, OPT, etc.).
- Donaldson will not offer immigration sponsorship or assume sponsorship of an employment visa for this position.
Equal Opportunity Employer, including Disability and Veterans
Employment opportunities for positions in the United States may require use of information which is subject to the export control regulations of the United States. Hiring decisions for such positions are required by law to be made in compliance with these regulations. Applicants for employment opportunities in other countries must be able to meet the comparable export control requirements of that country and of the United States.
Donaldson Company has been made aware that there are several recruiting scams that are targeting job seekers. These scams have attempted to solicit money for job applications and/or collect confidential information, Donaldson will never solicit money during the application or recruiting process. Donaldson only accepts online applications through our Careers | Donaldson Company, Inc. website and any communication from a Donaldson recruiter would be sent using a donaldson.com email address. If you have any questions about the legitimacy of an employment opportunity, please reach out to talentacquisition@donaldson.com to verify that the communication is from Donaldson.
Our policy is to provide equal employment opportunities to all qualified persons without regard to race, gender, color, disability, national origin, age, religion, union affiliation, sexual orientation, veteran status, citizenship, gender identity and/or expression, or other status protected by law.
See All 12 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 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.
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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 IDeaS, Optum, and Accenture, per current listings on Migrate Mate as of November 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, Bloomington, and Eden Prairie 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 75% of data science manager openings tied to Minnesota are remote or hybrid as of November 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 12 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