Data Science Engineer Jobs in Minnesota
Data Science Engineer jobs in Minnesota are concentrated in the Minneapolis-Saint Paul metro, Rochester, and Duluth, with strong demand across healthcare analytics, financial services modeling, and supply chain optimization. Employers like UnitedHealth Group, Target, and Mayo Clinic have established data engineering teams that hire across experience levels, from early-career analysts stepping into engineering roles to senior architects leading cloud pipeline projects. Machine learning engineering, real-time data infrastructure, and predictive analytics are the specialties driving the most consistent openings. Find a role that fits below and apply directly.
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Showing 5 of 14+ Data Science Engineer jobs
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.
- 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
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 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.
- 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
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 Engineer Jobs in Minnesota
Find roles in Minnesota that match your experience and apply in just a few clicks.
Find Data Science Engineer JobsData Science Engineer Jobs by City in Minnesota
Where Minnesota roles are concentrated, by current openings.
Data Science Engineer 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 engineer jobs across Minnesota.
- Bachelor's degree in computer science, statistics, or a closely related quantitative field
- Proficiency in Python or R with hands-on experience building and deploying machine learning models
- Experience designing and maintaining data pipelines using tools such as Spark, Kafka, or Airflow
- Familiarity with cloud platforms including AWS, Azure, or Google Cloud for scalable data infrastructure
- Strong command of SQL and experience working with large structured and unstructured datasets
- Ability to communicate analytical findings clearly to both technical teams and non-technical stakeholders
Data Science Engineer Jobs in Minnesota: Frequently Asked Questions
How do you become a data science engineer in Minnesota?
Data science engineering in Minnesota requires no state-issued license, so entry is credential- and portfolio-driven. Most Minnesota employers expect at minimum a bachelor's degree in computer science, mathematics, or statistics, though many also hire candidates with degrees in adjacent quantitative fields paired with demonstrated project work. Building a portfolio of end-to-end data pipeline or model deployment projects, contributing to open-source tools, and pursuing cloud certifications recognized by major Minnesota employers strengthens a candidacy considerably.
How much do data science engineers make in Minnesota?
Data science engineers 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 engineers in Minnesota?
Employers hiring data science engineers 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, retail headquarters, and financial services firms means hiring activity tends to be steady rather than cyclical.
Which Minnesota cities have the most data science engineer jobs?
Rochester, Minneapolis, and Eden Prairie account for the largest share of data science engineer openings in Minnesota. The Minneapolis-Saint Paul metro drives the majority of demand because it hosts the headquarters of major retailers, insurers, and financial firms, while Rochester's concentration of healthcare and medical research institutions, anchored by Mayo Clinic, supports a distinct cluster of health data engineering roles.
Are there remote data science engineer jobs in Minnesota?
Yes, and more than most fields. About 78% of data science engineer openings tied to Minnesota are remote or hybrid as of August 2026, reflecting how well the work translates to distributed environments. The roles most consistently offered remotely are those focused on model development, data pipeline engineering, and analytics platform work, while positions requiring close collaboration with embedded clinical or operations teams tend to favor hybrid or on-site arrangements.
How can I get hired as a data science engineer in Minnesota with little or no experience?
The most realistic entry path is a junior data engineer or data analyst role at a Minnesota employer that runs structured new-graduate programs, such as the technology rotational programs offered by large Minneapolis-based retailers and health insurers. These programs accept recent graduates and provide mentored exposure to production data systems. Candidates from adjacent roles like business intelligence analyst, database administrator, or statistical analyst at Minnesota healthcare systems or financial firms also move into data science engineering by demonstrating pipeline or modeling project work on the side.
Where can I find and apply to data science engineer jobs in Minnesota?
You can find and apply to data science engineer jobs in Minnesota on Migrate Mate, which lists current openings across the state. Find roles that fit your experience and specialization and apply directly to the employers posting them.
See All 14 Data Science Engineer Jobs in Minnesota
Find roles in Minnesota that match your experience and apply in just a few clicks.
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