Scientist Jobs in Minnesota
Scientist jobs in Minnesota are concentrated in the Twin Cities metro, Rochester, and Duluth, where employers like 3M, Mayo Clinic, and Cargill have long maintained research and development operations across life sciences, materials science, and food science. Demand is strongest for analytical chemists, environmental scientists, and biomedical researchers, with openings at every level from research associate to principal scientist. Minnesota's deep medical device and agricultural biotechnology sectors keep hiring consistent even outside peak cycles. Find a role that fits below and apply directly.
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Showing 5 of 55+ Scientist jobs
Minnesota - Data Scientist
Hollstadt Overview
Hollstadt Consulting is a management and technology consulting firm dedicated to placing professionals at engagements where they will excel. When you work with us, you'll work with a refreshingly real company led and staffed by seasoned experts who are also down-to-earth, good people. We're committed to treating you with respect and helping you achieve your career aspirations.
Since 1990, Hollstadt has been a trusted partner to more than 150 domestic and global companies and has successfully completed over 3,000 projects. Our continued growth has created challenging and rewarding opportunities for accomplished IT and Business Consultants. Hollstadt Consulting is an equal opportunity employer including disability/veteran.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Hollstadt Consulting and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel at any time.
Role: Intermediate Data Scientist
Duration: 6 months
Location: Hybrid in Arden Hills, MN
Rate: up to $50.31/hour W2, dependent on skills and qualifications
Our client is looking for an Intermediate Data Scientist to join Corporate IT. This role is based in Arden Hills, MN and requires hybrid attendance in the office Tuesday through Thursday. This position is responsible for partnering with functions and lines of business to apply statistical methods, machine learning, and industry knowledge to key business decisions that support revenue growth and cost reduction.
With growing autonomy and guidance appropriate to project complexity, this position owns moderately complex analytical projects or defined components of larger initiatives, develops models and experiments, and translates findings into actionable recommendations. The role emphasizes statistical and machine learning expertise, business partnership, and industry knowledge rather than custom software development.
Responsibilities
- Partner with business stakeholders to frame use cases, understand industry drivers, and agree on decision needs and success criteria.
- Explore, profile, cleanse, transform, and integrate enterprise and reputable external data, verifying quality against source data, business rules, and industry context while following privacy, security, and sourcing requirements.
- Translate business requirements and domain knowledge into features, experiments, analytical workflows, and model evaluation criteria.
- Select, develop, compare, and refine statistical and machine learning models using sound statistical reasoning, business context, and reusable analytical components.
- Develop reproducible analytical workflows and evaluate and monitor model accuracy, bias, explainability, and performance drift against agreed business and technical criteria.
- Use approved AI tools to accelerate coding, testing, and documentation while remaining accountable for method selection, analytical quality, interpretation, and clear communication.
- Distinguish meaningful patterns from noise and communicate findings, assumptions, tradeoffs, uncertainty, risk, and quantified impact as clear business implications and practical recommendations.
- Support business owners in adopting recommendations and measuring results, while business owners retain accountability for adoption and operational decisions.
- Partner with product, engineering, platform, and business teams to plan incremental deliverables and support production integration, automated monitoring, or custom development when needed.
- Participate in analytical, model, and code reviews; document work and share statistical methods, domain insights, and reusable practices.
Required Qualifications
- Bachelor’s degree in Data Science, Statistics, Computer Science, Engineering, or a related field.
- 3–5 years of hands-on experience applying statistics, machine learning, experimentation, or decision science to business problems.
- Working knowledge of Python, R, and SQL, with experience using analytical platforms and model lifecycle tools such as Databricks and MLflow. Ability to review and validate code and analytical outputs, including AI-assisted work.
- Solid knowledge of statistical inference, experimental design, regression, classification, forecasting, feature selection, model validation, uncertainty, and model monitoring.
- Demonstrated ability to frame moderately complex problems, align success criteria with business owners, quantify impact, and translate technical findings into clear insights and actionable recommendations.
- Industry knowledge in agriculture or related commercial settings, with the ability to connect business drivers to analytical decisions.
Benefits + Perks
Comprehensive Benefit Plan
Hollstadt offers medical, dental, vision, life insurance, short-term disability, long-term disability, paid sick leave, and retirement benefits to eligible employees. With three different medical plans to choose from, you can enroll in the coverage you need from individual to family, or anywhere in between!
Remarketing Process
Hollstadt is based on retention and relationships. We get to know your strengths and career wishes throughout your assignment and then start remarket discussions 6-8 weeks prior to your end date. By being proactive, we are able to keep your down time between assignments as short as possible, unless you choose otherwise.
Professional Development
Hollstadt offers on-demand training through our consultant portal. Trainings give our consultants the continuing education they need to excel on their projects. Many of our courses apply towards continuing education credits and we have an entire training hub dedicated to upskilling in Artificial Intelligence (AI).
401k + Matching
One popular benefit is our 401(k) match on the first 4% of your contributions. Hollstadt wants to help you reach your long-term financial goals and understands that planning for your future is critical. Consultants also have access to support from a Financial Advisor.
Bonus Opportunities
We appreciate and reward loyalty. Join Hollstadt, stay for 5 years, and we’ll give you a $5,000 Longevity Award bonus! Additionally, we know great talent knows other great talent. If you are on contract with Hollstadt and refer one of your connections who gets placed, we’ll pay you $1,000!
Ongoing Support & Networking
We have made a significant investment in building a support program for our consultant team - so you never have to feel like you are going it alone. We also have a Consultant Coach program which acts like a 'work buddy' to provide a safe ear for questions or concerns at your client site.
Minnesota - Data Scientist
Hollstadt Overview
Hollstadt Consulting is a management and technology consulting firm dedicated to placing professionals at engagements where they will excel. When you work with us, you'll work with a refreshingly real company led and staffed by seasoned experts who are also down-to-earth, good people. We're committed to treating you with respect and helping you achieve your career aspirations.
Since 1990, Hollstadt has been a trusted partner to more than 150 domestic and global companies and has successfully completed over 3,000 projects. Our continued growth has created challenging and rewarding opportunities for accomplished IT and Business Consultants. Hollstadt Consulting is an equal opportunity employer including disability/veteran.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Hollstadt Consulting and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel at any time.
Role: Intermediate Data Scientist
Duration: 6 months
Location: Hybrid in Arden Hills, MN
Rate: up to $50.31/hour W2, dependent on skills and qualifications
Our client is looking for an Intermediate Data Scientist to join Corporate IT. This role is based in Arden Hills, MN and requires hybrid attendance in the office Tuesday through Thursday. This position is responsible for partnering with functions and lines of business to apply statistical methods, machine learning, and industry knowledge to key business decisions that support revenue growth and cost reduction.
With growing autonomy and guidance appropriate to project complexity, this position owns moderately complex analytical projects or defined components of larger initiatives, develops models and experiments, and translates findings into actionable recommendations. The role emphasizes statistical and machine learning expertise, business partnership, and industry knowledge rather than custom software development.
Responsibilities
- Partner with business stakeholders to frame use cases, understand industry drivers, and agree on decision needs and success criteria.
- Explore, profile, cleanse, transform, and integrate enterprise and reputable external data, verifying quality against source data, business rules, and industry context while following privacy, security, and sourcing requirements.
- Translate business requirements and domain knowledge into features, experiments, analytical workflows, and model evaluation criteria.
- Select, develop, compare, and refine statistical and machine learning models using sound statistical reasoning, business context, and reusable analytical components.
- Develop reproducible analytical workflows and evaluate and monitor model accuracy, bias, explainability, and performance drift against agreed business and technical criteria.
- Use approved AI tools to accelerate coding, testing, and documentation while remaining accountable for method selection, analytical quality, interpretation, and clear communication.
- Distinguish meaningful patterns from noise and communicate findings, assumptions, tradeoffs, uncertainty, risk, and quantified impact as clear business implications and practical recommendations.
- Support business owners in adopting recommendations and measuring results, while business owners retain accountability for adoption and operational decisions.
- Partner with product, engineering, platform, and business teams to plan incremental deliverables and support production integration, automated monitoring, or custom development when needed.
- Participate in analytical, model, and code reviews; document work and share statistical methods, domain insights, and reusable practices.
Required Qualifications
- Bachelor’s degree in Data Science, Statistics, Computer Science, Engineering, or a related field.
- 3–5 years of hands-on experience applying statistics, machine learning, experimentation, or decision science to business problems.
- Working knowledge of Python, R, and SQL, with experience using analytical platforms and model lifecycle tools such as Databricks and MLflow. Ability to review and validate code and analytical outputs, including AI-assisted work.
- Solid knowledge of statistical inference, experimental design, regression, classification, forecasting, feature selection, model validation, uncertainty, and model monitoring.
- Demonstrated ability to frame moderately complex problems, align success criteria with business owners, quantify impact, and translate technical findings into clear insights and actionable recommendations.
- Industry knowledge in agriculture or related commercial settings, with the ability to connect business drivers to analytical decisions.
Benefits + Perks
Comprehensive Benefit Plan
Hollstadt offers medical, dental, vision, life insurance, short-term disability, long-term disability, paid sick leave, and retirement benefits to eligible employees. With three different medical plans to choose from, you can enroll in the coverage you need from individual to family, or anywhere in between!
Remarketing Process
Hollstadt is based on retention and relationships. We get to know your strengths and career wishes throughout your assignment and then start remarket discussions 6-8 weeks prior to your end date. By being proactive, we are able to keep your down time between assignments as short as possible, unless you choose otherwise.
Professional Development
Hollstadt offers on-demand training through our consultant portal. Trainings give our consultants the continuing education they need to excel on their projects. Many of our courses apply towards continuing education credits and we have an entire training hub dedicated to upskilling in Artificial Intelligence (AI).
401k + Matching
One popular benefit is our 401(k) match on the first 4% of your contributions. Hollstadt wants to help you reach your long-term financial goals and understands that planning for your future is critical. Consultants also have access to support from a Financial Advisor.
Bonus Opportunities
We appreciate and reward loyalty. Join Hollstadt, stay for 5 years, and we’ll give you a $5,000 Longevity Award bonus! Additionally, we know great talent knows other great talent. If you are on contract with Hollstadt and refer one of your connections who gets placed, we’ll pay you $1,000!
Ongoing Support & Networking
We have made a significant investment in building a support program for our consultant team - so you never have to feel like you are going it alone. We also have a Consultant Coach program which acts like a 'work buddy' to provide a safe ear for questions or concerns at your client site.
See All 55 Scientist Jobs in Minnesota
Find roles in Minnesota that match your experience and apply in just a few clicks.
Find Scientist JobsScientist Jobs by City in Minnesota
Where Minnesota roles are concentrated, by current openings.
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 scientist jobs across Minnesota.
- Bachelor's degree in chemistry, biology, environmental science, or a closely related field
- Experience with laboratory instrumentation, data analysis, or field sampling protocols
- Familiarity with Good Laboratory Practices and relevant regulatory compliance standards
- Proficiency in statistical software or scientific data management platforms
- Strong written communication skills for preparing technical reports and research documentation
- Ability to collaborate across cross-functional teams in research, quality, or product development settings
Scientist Jobs in Minnesota: Frequently Asked Questions
How do you become a scientist in Minnesota?
Most scientist roles in Minnesota require at minimum a bachelor's degree in a natural or applied science, with many research and industry positions preferring a master's or doctorate. No single state license governs all scientist roles, but environmental scientists working in regulatory contexts may need registration with the Minnesota Pollution Control Agency or certification through relevant professional bodies. Employers in life sciences and food science typically expect demonstrated laboratory experience alongside academic credentials.
Which companies hire scientists in Minnesota?
Companies currently hiring scientists in Minnesota include Target, University of Minnesota, and General Mills, per current listings on Migrate Mate as of November 2026. Minnesota's concentration of medical device manufacturers, agricultural biotechnology firms, and food processing companies means ongoing demand for scientists across multiple specialties throughout the year.
Which Minnesota cities have the most scientist jobs?
Minneapolis, Saint Paul, and Chaska account for the largest share of scientist openings in Minnesota. The Twin Cities anchor demand through their dense cluster of Fortune 500 headquarters, university research institutions, and medical device companies, while Rochester draws consistent openings from Mayo Clinic's expansive research enterprise, and Duluth sees activity tied to environmental and natural resource science along the Lake Superior corridor.
Are there remote scientist jobs in Minnesota?
Yes, but they're rare. About 63% of scientist openings tied to Minnesota are remote or hybrid as of November 2026, reflecting how laboratory-dependent most scientist roles are by nature. The positions most likely to offer remote or hybrid arrangements are those focused on data analysis, regulatory affairs, scientific writing, or modeling rather than hands-on bench or field work.
How can I get hired as a scientist in Minnesota with little or no experience?
The most realistic entry path is a research associate or laboratory technician role, which large Minnesota employers in life sciences and food science regularly use to bring in candidates fresh from a bachelor's program. 3M, Cargill, and Mayo Clinic each run structured early-career programs and internship pipelines that convert to full-time roles. Pursuing relevant certifications in laboratory safety or environmental sampling, or completing a research thesis project, gives candidates a measurable edge when competing for those entry positions.
Where can I find and apply to scientist jobs in Minnesota?
You can find and apply to scientist jobs in Minnesota on Migrate Mate, which lists current openings across the state. Search the listings to find roles that match your specialty and experience level, then apply directly to the ones that fit.
See All 55 Scientist Jobs in Minnesota
Find roles in Minnesota that match your experience and apply in just a few clicks.
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