Data Science Analyst Jobs in Minnesota
Data Science Analyst jobs in Minnesota concentrate heavily in healthcare analytics, financial services, and retail technology, with the Twin Cities metro anchoring the largest share of openings and secondary demand in Rochester and Bloomington. Employers like UnitedHealth Group, Target, and Mayo Clinic maintain deep, ongoing data science teams and recruit across seniority levels from junior analysts to senior specialists. The most in-demand specialties are predictive modeling, healthcare outcomes analytics, and consumer behavior analysis. Find a role that fits below and apply directly.
Find Data Science Analyst JobsOverview
Open roles14
Top employerMayo Clinic
Top cityRochester, MN
Cities hiring7
Work type56% Hybrid
Top industryEducation
Showing 5 of 14+ Data Science Analyst jobs
Senior Data Science Analyst - DLMP
We won't show you this job again
New 21h ago
Mayo Clinic
Senior Data Science Analyst - DLMP
Rochester, Minnesota
New 21h ago
Senior Data Science Analyst - CSiG
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Added 2d ago
Mayo Clinic
Senior Data Science Analyst - CSiG
Rochester, Minnesota
Added 2d ago
Principal Data Science Analyst
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Added 6d ago
Mayo Clinic
Principal Data Science Analyst
Rochester, Minnesota
Added 6d ago
B
Research Software Engineer — R&D, Data Science & Machine Learning
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B
Added 1w ago
Boon Logic Inc.
Research Software Engineer — R&D, Data Science & Machine Learning
Minneapolis, Minnesota
Added 1w ago
AI and Data Science Strategy Leader - Crimson AI - Remote
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Added 2w ago
Optum
AI and Data Science Strategy Leader - Crimson AI - Remote
Eden Prairie, Minnesota
Added 2w ago
New 21h ago
Senior Data Science Analyst - DLMP
Mayo Clinic·Rochester, Minnesota
Job functions:
$125k - $188k/yr
Hybrid
Master's degree in health science
10,000+ employees
Job Description
Why Mayo Clinic
Mayo Clinic is top-ranked in more specialties than any other care provider according to U.S. News & World Report. As we work together to put the needs of the patient first, we are also dedicated to our employees, investing in competitive compensation and comprehensive benefit plans – to take care of you and your family, now and in the future. And with continuing education and advancement opportunities at every turn, you can build a long, successful career with Mayo Clinic.
Benefits Highlights
- Medical: Multiple plan options.
- Dental: Delta Dental or reimbursement account for flexible coverage.
- Vision: Affordable plan with national network.
- Pre-Tax Savings: HSA and FSAs for eligible expenses.
- Retirement: Competitive retirement package to secure your future.
Responsibilities
Data Scientists at Mayo Clinic perform detailed analysis of large bodies of heterogeneous data in order to discover new patterns and insights having an impact upon patient health and augmenting human capabilities. Candidate has advanced expertise in AI, machine learning, deep learning, statistical data processing, regression techniques, neural networks, decision trees, clustering, pattern recognition, probability theory and data science methods and the mathematical theories underlying these tools used to analyze data. Has advanced knowledge of healthcare data types, topics, and scientific challenges and approaches.
May work with knowledge architects, informaticians and clinicians at Mayo, and partner outside companies to develop and deploy applications to bring AI and analytic solutions to nontechnical users, often at the point of care. Applies and modifies existing scripts or software applications to support data management, data extraction, data analysis, and AI as required
May develop predictive models on large-scale datasets to address various business problems through leveraging advanced statistical modeling, operations research, machine learning, or data mining techniques. May provide Consultative Services at an enterprise level to departments/divisions and/or support scientific projects under the supervision of a designated senior level data scientist.
Other responsibilities:
- Provides advanced data insights for complex business problems that can be approached with analytics techniques to collect, explore, and extract insights from structured and unstructured data.
- Has advanced expertise in the methods used to analyze data and advanced knowledge of data types, topics, and scientific challenges and approaches.
- Will work with other staff in developing data analysis tools and predictive models, using advanced data analysis techniques and artificial intelligence and machine learning.
- Participates in discovery processes with stakeholders to identify the business requirements and the expected outcome.
- Leads the interpretation of data analysis and writing reports.
- Advance AI and machine learning solutions specifically for digital pathology and multimodal clinical data.
- Work as part of an AI Operations team focused on moving AI models into clinically deployable products in collaboration with clinical, technical, enterprise informatics, IT, and regulatory teams.
- Support the full AI product development lifecycle by establishing best practices for model evaluation, quality assurance, reproducibility, and regulatory documentation.
- Collaborate directly with pathologists, laboratory physicians, clinicians, computational scientists, enterprise informatics, IT, regulatory teams, and software engineering teams.
- Develop AI solutions that address real-world clinical needs, not only general business or scientific problems.
- Emphasize clinical translation of AI/ML solutions, moving beyond data analysis and predictive modeling into operational clinical use.
We require a two year commitment to this position
**This position is not eligible for visa sponsorship. Also, Mayo Clinic DOES NOT participate in the F-1 STEM OPT extension program**
Qualifications
A master’s degree in engineering, computer science, mathematics, health science, or a related field with 4 years of experience, a bachelor’s degree with 6 years of experience.- Extensive experience applying AI and machine learning in production healthcare environments or similar highly regulated or technology focused industries, showcasing an understanding of healthcare technology.
- Demonstrated leadership in managing complex projects, with a proven ability to navigate intricate project requirements and deliver successful outcomes.
- Proficiency in fostering collaboration across diverse teams and effectively communicating complex technical concepts to non-technical stakeholders.
- Demonstrated expertise in cloud infrastructure environment and software development tools.
- Experience working with large, complex, and heterogeneous data sets, preferably in healthcare.
- Skilled in AI/ML techniques and frameworks.
- Familiarity with best practices in data engineering, data science, AI Engineering, and the MLOps communities.
- Demonstrated initiative in administration, education, software development, and technical reporting.
- A commitment to mentoring and training less-experienced team members, coupled with strong interpersonal, communication, and time management skills.
.
Additional preferred/desired qualifications/experience:
- Experience developing, validating, or deploying AI/ML models in healthcare, pathology, laboratory medicine, or clinical operations.
- Familiarity with multimodal clinical data, digital pathology images, whole-slide imaging, image analysis, including integration of imaging, laboratory, pathology, molecular, structured EHR, and unstructured clinical data.
- Experience with MLOps, model lifecycle management, model monitoring, version control, reproducible pipelines, or scalable deployment workflows.
- Experience translating AI/ML models from proof-of-concept into operational, production-ready, or clinically deployable solutions.
- Working knowledge of cloud-based or enterprise-scale data science environments, high-performance computing, or secure healthcare data platforms.
- Proficiency with Python, R, SQL, machine learning frameworks, statistical modeling tools, and data visualization methods.
- Strong ability to communicate complex technical concepts to nontechnical clinical, operational, and executive audiences.
Exemption Status
Exempt
Compensation Detail
$125,444 - $188,260/ year
Benefits Eligible
Yes
Schedule
Full Time
Hours/Pay Period
80
Schedule Details
This is a hybrid position; employee must live with 100 miles of the RST campus.
International Assignment
No
Site Description
Just as our reputation has spread beyond our Minnesota roots, so have our locations. Today, our employees are located at our three major campuses in Phoenix/Scottsdale, Arizona, Jacksonville, Florida, Rochester, Minnesota, and at Mayo Clinic Health System campuses throughout Midwestern communities, and at our international locations. Each Mayo Clinic location is a special place where our employees thrive in both their work and personal lives. Learn more about what each unique Mayo Clinic campus has to offer, and where your best fit is.
Equal Opportunity
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, protected veteran status or disability status. Learn more about the "EOE is the Law". Mayo Clinic participates in E-Verify and may provide the Social Security Administration and, if necessary, the Department of Homeland Security with information from each new employee's Form I-9 to confirm work authorization.
Recruiter
Rhonda Wilson
Mayo Clinic
Senior Data Science Analyst - DLMP
Rochester, Minnesota
New 21h ago10,000+ employees
Job functions:
$125k - $188k/yr
Hybrid
Master's degree in health science
Job Description
Why Mayo Clinic
Mayo Clinic is top-ranked in more specialties than any other care provider according to U.S. News & World Report. As we work together to put the needs of the patient first, we are also dedicated to our employees, investing in competitive compensation and comprehensive benefit plans – to take care of you and your family, now and in the future. And with continuing education and advancement opportunities at every turn, you can build a long, successful career with Mayo Clinic.
Benefits Highlights
- Medical: Multiple plan options.
- Dental: Delta Dental or reimbursement account for flexible coverage.
- Vision: Affordable plan with national network.
- Pre-Tax Savings: HSA and FSAs for eligible expenses.
- Retirement: Competitive retirement package to secure your future.
Responsibilities
Data Scientists at Mayo Clinic perform detailed analysis of large bodies of heterogeneous data in order to discover new patterns and insights having an impact upon patient health and augmenting human capabilities. Candidate has advanced expertise in AI, machine learning, deep learning, statistical data processing, regression techniques, neural networks, decision trees, clustering, pattern recognition, probability theory and data science methods and the mathematical theories underlying these tools used to analyze data. Has advanced knowledge of healthcare data types, topics, and scientific challenges and approaches.
May work with knowledge architects, informaticians and clinicians at Mayo, and partner outside companies to develop and deploy applications to bring AI and analytic solutions to nontechnical users, often at the point of care. Applies and modifies existing scripts or software applications to support data management, data extraction, data analysis, and AI as required
May develop predictive models on large-scale datasets to address various business problems through leveraging advanced statistical modeling, operations research, machine learning, or data mining techniques. May provide Consultative Services at an enterprise level to departments/divisions and/or support scientific projects under the supervision of a designated senior level data scientist.
Other responsibilities:
- Provides advanced data insights for complex business problems that can be approached with analytics techniques to collect, explore, and extract insights from structured and unstructured data.
- Has advanced expertise in the methods used to analyze data and advanced knowledge of data types, topics, and scientific challenges and approaches.
- Will work with other staff in developing data analysis tools and predictive models, using advanced data analysis techniques and artificial intelligence and machine learning.
- Participates in discovery processes with stakeholders to identify the business requirements and the expected outcome.
- Leads the interpretation of data analysis and writing reports.
- Advance AI and machine learning solutions specifically for digital pathology and multimodal clinical data.
- Work as part of an AI Operations team focused on moving AI models into clinically deployable products in collaboration with clinical, technical, enterprise informatics, IT, and regulatory teams.
- Support the full AI product development lifecycle by establishing best practices for model evaluation, quality assurance, reproducibility, and regulatory documentation.
- Collaborate directly with pathologists, laboratory physicians, clinicians, computational scientists, enterprise informatics, IT, regulatory teams, and software engineering teams.
- Develop AI solutions that address real-world clinical needs, not only general business or scientific problems.
- Emphasize clinical translation of AI/ML solutions, moving beyond data analysis and predictive modeling into operational clinical use.
We require a two year commitment to this position
**This position is not eligible for visa sponsorship. Also, Mayo Clinic DOES NOT participate in the F-1 STEM OPT extension program**
Qualifications
A master’s degree in engineering, computer science, mathematics, health science, or a related field with 4 years of experience, a bachelor’s degree with 6 years of experience.- Extensive experience applying AI and machine learning in production healthcare environments or similar highly regulated or technology focused industries, showcasing an understanding of healthcare technology.
- Demonstrated leadership in managing complex projects, with a proven ability to navigate intricate project requirements and deliver successful outcomes.
- Proficiency in fostering collaboration across diverse teams and effectively communicating complex technical concepts to non-technical stakeholders.
- Demonstrated expertise in cloud infrastructure environment and software development tools.
- Experience working with large, complex, and heterogeneous data sets, preferably in healthcare.
- Skilled in AI/ML techniques and frameworks.
- Familiarity with best practices in data engineering, data science, AI Engineering, and the MLOps communities.
- Demonstrated initiative in administration, education, software development, and technical reporting.
- A commitment to mentoring and training less-experienced team members, coupled with strong interpersonal, communication, and time management skills.
.
Additional preferred/desired qualifications/experience:
- Experience developing, validating, or deploying AI/ML models in healthcare, pathology, laboratory medicine, or clinical operations.
- Familiarity with multimodal clinical data, digital pathology images, whole-slide imaging, image analysis, including integration of imaging, laboratory, pathology, molecular, structured EHR, and unstructured clinical data.
- Experience with MLOps, model lifecycle management, model monitoring, version control, reproducible pipelines, or scalable deployment workflows.
- Experience translating AI/ML models from proof-of-concept into operational, production-ready, or clinically deployable solutions.
- Working knowledge of cloud-based or enterprise-scale data science environments, high-performance computing, or secure healthcare data platforms.
- Proficiency with Python, R, SQL, machine learning frameworks, statistical modeling tools, and data visualization methods.
- Strong ability to communicate complex technical concepts to nontechnical clinical, operational, and executive audiences.
Exemption Status
Exempt
Compensation Detail
$125,444 - $188,260/ year
Benefits Eligible
Yes
Schedule
Full Time
Hours/Pay Period
80
Schedule Details
This is a hybrid position; employee must live with 100 miles of the RST campus.
International Assignment
No
Site Description
Just as our reputation has spread beyond our Minnesota roots, so have our locations. Today, our employees are located at our three major campuses in Phoenix/Scottsdale, Arizona, Jacksonville, Florida, Rochester, Minnesota, and at Mayo Clinic Health System campuses throughout Midwestern communities, and at our international locations. Each Mayo Clinic location is a special place where our employees thrive in both their work and personal lives. Learn more about what each unique Mayo Clinic campus has to offer, and where your best fit is.
Equal Opportunity
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, protected veteran status or disability status. Learn more about the "EOE is the Law". Mayo Clinic participates in E-Verify and may provide the Social Security Administration and, if necessary, the Department of Homeland Security with information from each new employee's Form I-9 to confirm work authorization.
Recruiter
Rhonda Wilson
See All 14 Data Science Analyst Jobs in Minnesota
Find roles in Minnesota that match your experience and apply in just a few clicks.
Find Data Science Analyst JobsData Science Analyst Jobs by City in Minnesota
Where Minnesota roles are concentrated, by current openings.
Rochester
4 jobsMinneapolis
4 jobsEden Prairie
2 jobsMedina
1 jobMinnetonka
1 jobNorthfield
1 jobSaint Paul
1 jobData Science Analyst Job Market in Minnesota
A snapshot from current Minnesota openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Education
- Automotive
What Minnesota Employers Look For
The qualifications that appear most often in data science analyst jobs across Minnesota.
- Bachelor's degree in data science, statistics, computer science, or a related quantitative field
- Proficiency in Python or R for data manipulation, modeling, and analysis
- Experience with SQL and relational databases for querying large datasets
- Familiarity with machine learning frameworks such as scikit-learn, TensorFlow, or similar tools
- Ability to communicate analytical findings clearly to non-technical business stakeholders
- Experience with data visualization tools such as Tableau, Power BI, or similar platforms
Data Science Analyst Jobs in Minnesota: Frequently Asked Questions
How do you become a data science analyst in Minnesota?
Data science analyst roles in Minnesota do not require a state-issued license, but employers consistently expect a bachelor's degree in a quantitative field such as statistics, mathematics, or computer science. Many Minnesota employers, particularly in healthcare and finance, favor candidates who also hold a master's degree or have completed a graduate certificate program. Building a portfolio of applied projects and gaining proficiency in Python, SQL, and a visualization tool strengthens candidacy significantly.
How much do data science analysts make in Minnesota?
Data science analysts 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 science analysts in Minnesota?
Employers hiring data science analysts in Minnesota right now include Mayo Clinic, Optum, and CLUTCH, based on current listings on Migrate Mate as of August 2026. Minnesota's concentration of large healthcare systems, national retailers, and financial services firms means sustained, year-round demand rather than seasonal spikes.
Which Minnesota cities have the most data science analyst jobs?
Rochester, Minneapolis, and Eden Prairie account for the most data science analyst openings in Minnesota. The Twin Cities metro drives the bulk of demand through corporate headquarters in retail, finance, and insurance, while Rochester's concentration is shaped almost entirely by Mayo Clinic and its affiliated research and health-technology partners.
Are there remote data science analyst jobs in Minnesota?
Yes, and more than most fields. About 78% of data science analyst openings tied to Minnesota are remote or hybrid as of August 2026, reflecting how thoroughly analytical and desk-based this work is. Modeling, reporting, and visualization work transfers well to remote arrangements, while roles that require close collaboration with embedded clinical or operations teams tend to expect at least a hybrid schedule.
How can I get hired as a data science analyst in Minnesota with little or no experience?
The most realistic entry path is a rotational analytics program or a junior data analyst role at one of Minnesota's large anchor employers. UnitedHealth Group and Target both run structured early-career analytics programs that accept candidates with strong academic records but limited professional experience. Adjacent roles such as business intelligence analyst, data coordinator, or reporting analyst at mid-size Minnesota healthcare systems or insurance carriers also serve as common stepping stones. A portfolio of applied projects and a relevant certification, such as a credential in Python or cloud data tools, gives candidates without formal experience a concrete advantage.
Where can I find and apply to data science analyst jobs in Minnesota?
You can find and apply to data science analyst jobs in Minnesota on Migrate Mate, which lists current Minnesota openings across industries and experience levels. Search the listings, find roles that match your background and goals, and apply directly to the ones that fit.
See All 14 Data Science Analyst Jobs in Minnesota
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