Data Science Director Jobs in Minnesota
Data Science Director jobs in Minnesota are concentrated in the Twin Cities metro of Minneapolis and Saint Paul, with additional hiring in Rochester and Bloomington, where employers like UnitedHealth Group, Target, and Mayo Clinic maintain large, established analytics and AI functions. Minnesota's market is among the most active in the Upper Midwest for this leadership role, with particular demand in healthcare analytics, retail and consumer intelligence, and financial modeling. Directors who can translate complex models into enterprise strategy are consistently in demand across these sectors. Find a role that fits below and apply directly.
Find Data Science Director JobsOverview
Open roles14
Top employerMayo Clinic
Top cityRochester, MN
Cities hiring7
Work type56% Hybrid
Top industryEducation
Showing 5 of 14+ Data Science Director 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 Director Jobs in Minnesota
Find roles in Minnesota that match your experience and apply in just a few clicks.
Find Data Science Director JobsData Science Director 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 Director 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 director jobs across Minnesota.
- Bachelor's or master's degree in data science, statistics, computer science, or a related quantitative field
- Seven or more years of progressive data science experience including at least two in a management role
- Demonstrated ability to lead and mentor data science teams across multiple concurrent projects
- Proficiency in Python, R, SQL, and modern machine learning frameworks at an architectural level
- Experience translating data science outputs into business decisions for senior leadership and stakeholders
- Familiarity with cloud data platforms such as AWS, Azure, or Google Cloud in an enterprise environment
Data Science Director Jobs in Minnesota: Frequently Asked Questions
How do you become a data science director in Minnesota?
There is no state-issued license required to work as a data science director in Minnesota, so the path runs through education and experience. Most directors in the state hold at least a bachelor's degree in a quantitative field, with many employers, particularly in healthcare and finance, preferring a master's or PhD. Building a record of leading analytics teams and delivering measurable business impact is the clearest route to director-level hiring in Minnesota's major markets.
How much do data science directors make in Minnesota?
Data science directors 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 directors in Minnesota?
Companies currently hiring data science directors in Minnesota include Mayo Clinic, Optum, and CLUTCH, per current listings on Migrate Mate as of August 2026. Minnesota's concentration of large healthcare, retail, and financial services headquarters makes it one of the more consistent markets for this senior role in the Midwest.
Which Minnesota cities have the most data science director jobs?
Rochester, Minneapolis, and Eden Prairie account for the majority of data science director openings in Minnesota. The Twin Cities metro drives most of the volume, anchored by major corporate headquarters in healthcare, retail, and financial services, while Rochester's concentration of medical and life sciences institutions, led by Mayo Clinic, generates consistent demand for directors who specialize in clinical and research analytics.
Are there remote data science director jobs in Minnesota?
Yes, and more than most fields, since data science director work is fundamentally desk-based and highly compatible with distributed team leadership. About 78% of data science director openings tied to Minnesota are remote or hybrid as of August 2026, reflecting broader industry norms. Strategy, modeling oversight, and stakeholder reporting are the parts of the role most commonly performed remotely, while team-building and cross-functional alignment often draw directors back on-site periodically.
How can I get hired as a data science director in Minnesota with little or no experience?
The most realistic path is moving into a senior data scientist or data science manager role first, then building toward director-level over time. Large Minnesota employers like UnitedHealth Group and Target run structured analytics rotational and leadership development programs that are open to candidates with strong technical foundations but limited senior experience. Earning a recognized credential such as a master's degree from a University of Minnesota or Minnesota State system program, or building a portfolio of end-to-end machine learning projects, gives candidates a concrete edge when applying to these programs.
Where can I find and apply to data science director jobs in Minnesota?
You can find and apply to data science director jobs in Minnesota on Migrate Mate, which lists current openings in the state. Search the available roles, find the ones that match your experience and target industry, and apply directly to the positions that fit.
See All 14 Data Science Director Jobs in Minnesota
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