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.
Find Data Science Engineer JobsOverview
Showing 4 of 16+ Data Science Engineer jobs
Passionate people. Loyal clients. Leading solutions.
With a rich culture of creative collaboration and professional growth, IDeaS’ team members build successful careers with us.
IDeaS is proud to be a global powerhouse of innovation and excellence; challenge and reward. No matter where we’re working, our teams come together to create leading revenue management solutions that accelerate our clients’ growth through revenue optimization.
Now we just need you!
IDeaS’ Internship Program provides students with real world experiences working on high visibility projects and challenging assignments. Our program facilitates opportunities to explore their field of study and make connections. Interns are a valuable part of our team – they do a lot of important work here and occasionally have some fun.
As an R&D Intern on the Research team, you will be working with a mentor from our Advanced Analytics Team on new product development. The analytics team combines members from our research, software development and testing departments in a small, fast, and adaptive team. You will help develop and deliver scientific and pragmatic solutions covering a wide range of revenue science topics including forecasting, pricing and optimization for emerging needs in the rapidly changing world.
We have exciting opportunities to work with our experts in the field of applying generative AI and machine learning techniques to existing revenue management problems. Projects typically involve many opportunities for research, data exploration, solution prototyping, software development and testing.
What you’ll be doing...
- Preparing and analyzing data; identifying opportunities and problems; designing solutions and implementing those solutions
- Communicating and presenting work to various audiences to explain functionality and/or benefit
- Producing required technical documentation
What you’ll bring to us…
- Enrolled in Bachelors, Masters, or Ph.D. program in Applied Mathematics, Computer Science, Operations Research, Systems Engineering, Statistics, Data Science, Physics, Mathematics or a related quantitative field
- As part of Ph.D. program, experience conducting research is preferred
- Previous work in GenAI and machine learning is preferred
- Interest in revenue science, general forecasting and estimation concepts
- Excellent ability to identify and proactively solve problems (data modeling)
- Comfortable with one or more programming languages (Java, Python or SAS)
- Strong written, verbal, and interpersonal communications skills
- Programming: Proficiency in Python (primary), with working knowledge of SQL and RESTful APIs
- AI / Machine Learning: Familiarity with large language models (LLMs), prompt engineering, RAG, and foundational ML concepts
- Data Handling: Strong SQL querying skills, experience with Pandas for data manipulation, and ability to perform basic analytical tasks
- Hands-on experience with LangChain, LangGraph, or similar agentic AI frameworks
- Understanding of hospitality and revenue management principles
- Background in time-series forecasting or demand planning
- Familiarity with dashboarding and visualization tools (e.g., Streamlit, Plotly, Dash)
We Support Who You Are….
As a global company, we strive to create an inclusive environment where diverse perspectives spark innovation and meet the challenges of an evolving world. Whether you’re launching a new career or expanding your current one, IDeaS is a company where you can balance great work with all other aspects of your life.
At IDeaS, we also aspire to live our values each day by being Accountable, Curious, Passionate and Authentic. And we continue our quest to build a more inclusive environment that attracts, represents and provides a place for diverse ideas, unique perspectives, and authentic voices.
Additional Information:
To qualify, applicants must be legally authorized to work in the United States, and should not require, now or in the future, sponsorship for employment visa status.
SAS is an equal opportunity employer. All qualified applicants are considered for employment without regard to any characteristic protected by law. Read more: Know Your Rights.
Equivalent combination of education, training, and relevant experience may be considered in place of the education requirement stated above.
Resumes may be considered in the order they are received.
IDeaS/SAS employees performing certain job functions may require access to technology or software subject to export or import regulations. To comply with these regulations, IDeaS/SAS may obtain nationality or citizenship information from applicants for employment.
IDeaS/SAS collects this information solely for trade law compliance purposes and does not use it to discriminate unfairly in the hiring process.
#IDeaS
#LI-Hybrid
Passionate people. Loyal clients. Leading solutions.
With a rich culture of creative collaboration and professional growth, IDeaS’ team members build successful careers with us.
IDeaS is proud to be a global powerhouse of innovation and excellence; challenge and reward. No matter where we’re working, our teams come together to create leading revenue management solutions that accelerate our clients’ growth through revenue optimization.
Now we just need you!
IDeaS’ Internship Program provides students with real world experiences working on high visibility projects and challenging assignments. Our program facilitates opportunities to explore their field of study and make connections. Interns are a valuable part of our team – they do a lot of important work here and occasionally have some fun.
As an R&D Intern on the Research team, you will be working with a mentor from our Advanced Analytics Team on new product development. The analytics team combines members from our research, software development and testing departments in a small, fast, and adaptive team. You will help develop and deliver scientific and pragmatic solutions covering a wide range of revenue science topics including forecasting, pricing and optimization for emerging needs in the rapidly changing world.
We have exciting opportunities to work with our experts in the field of applying generative AI and machine learning techniques to existing revenue management problems. Projects typically involve many opportunities for research, data exploration, solution prototyping, software development and testing.
What you’ll be doing...
- Preparing and analyzing data; identifying opportunities and problems; designing solutions and implementing those solutions
- Communicating and presenting work to various audiences to explain functionality and/or benefit
- Producing required technical documentation
What you’ll bring to us…
- Enrolled in Bachelors, Masters, or Ph.D. program in Applied Mathematics, Computer Science, Operations Research, Systems Engineering, Statistics, Data Science, Physics, Mathematics or a related quantitative field
- As part of Ph.D. program, experience conducting research is preferred
- Previous work in GenAI and machine learning is preferred
- Interest in revenue science, general forecasting and estimation concepts
- Excellent ability to identify and proactively solve problems (data modeling)
- Comfortable with one or more programming languages (Java, Python or SAS)
- Strong written, verbal, and interpersonal communications skills
- Programming: Proficiency in Python (primary), with working knowledge of SQL and RESTful APIs
- AI / Machine Learning: Familiarity with large language models (LLMs), prompt engineering, RAG, and foundational ML concepts
- Data Handling: Strong SQL querying skills, experience with Pandas for data manipulation, and ability to perform basic analytical tasks
- Hands-on experience with LangChain, LangGraph, or similar agentic AI frameworks
- Understanding of hospitality and revenue management principles
- Background in time-series forecasting or demand planning
- Familiarity with dashboarding and visualization tools (e.g., Streamlit, Plotly, Dash)
We Support Who You Are….
As a global company, we strive to create an inclusive environment where diverse perspectives spark innovation and meet the challenges of an evolving world. Whether you’re launching a new career or expanding your current one, IDeaS is a company where you can balance great work with all other aspects of your life.
At IDeaS, we also aspire to live our values each day by being Accountable, Curious, Passionate and Authentic. And we continue our quest to build a more inclusive environment that attracts, represents and provides a place for diverse ideas, unique perspectives, and authentic voices.
Additional Information:
To qualify, applicants must be legally authorized to work in the United States, and should not require, now or in the future, sponsorship for employment visa status.
SAS is an equal opportunity employer. All qualified applicants are considered for employment without regard to any characteristic protected by law. Read more: Know Your Rights.
Equivalent combination of education, training, and relevant experience may be considered in place of the education requirement stated above.
Resumes may be considered in the order they are received.
IDeaS/SAS employees performing certain job functions may require access to technology or software subject to export or import regulations. To comply with these regulations, IDeaS/SAS may obtain nationality or citizenship information from applicants for employment.
IDeaS/SAS collects this information solely for trade law compliance purposes and does not use it to discriminate unfairly in the hiring process.
#IDeaS
#LI-Hybrid
See All 16 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
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, University of Minnesota, and IDeaS, based on current listings on Migrate Mate as of October 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?
Minneapolis, Rochester, and Saint Paul 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 88% of data science engineer openings tied to Minnesota are remote or hybrid as of October 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 16 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 Jobs