Senior Data Science Engineer Jobs in Minnesota
Senior Data Science Engineer jobs in Minnesota are in strong demand, concentrated in financial services, healthcare technology, retail analytics, and enterprise software, with openings at every senior level from lead individual contributor to principal engineer. The Twin Cities metro anchors most of the hiring, with additional activity in Rochester and Bloomington, where employers such as UnitedHealth Group, Target, and Mayo Clinic have established data science practices. The most sought-after specialties include machine learning infrastructure, MLOps, and large-scale predictive modeling. Find a role that fits below and apply directly.
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Showing 4 of 16+ Senior 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 Senior Data Science Engineer Jobs in Minnesota
Find roles in Minnesota that match your experience and apply in just a few clicks.
Find JobsSenior Data Science Engineer Jobs by City in Minnesota
Where Minnesota roles are concentrated, by current openings.
Senior 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 senior data science engineer jobs across Minnesota.
- Bachelor's or master's degree in computer science, statistics, or a related quantitative field
- Five or more years of hands-on experience building and deploying machine learning models at scale
- Proficiency in Python, SQL, and at least one major ML framework such as TensorFlow or PyTorch
- Experience with cloud platforms including AWS, Azure, or Google Cloud for data pipeline and model deployment
- Demonstrated ability to lead data science projects and mentor junior engineers through full delivery cycles
- Strong communication skills to translate complex model outputs into business decisions for non-technical stakeholders
Senior Data Science Engineer Jobs in Minnesota: Frequently Asked Questions
How do you become a senior data science engineer in Minnesota?
Senior data science engineer roles in Minnesota do not require a state-issued license or registration. Employers in the Twin Cities, Rochester, and Bloomington typically look for a bachelor's or master's degree in computer science, statistics, or applied mathematics, combined with several years of progressive experience building production machine learning systems. Cloud certifications from AWS or Google Cloud and a strong portfolio of deployed models meaningfully strengthen candidacy with Minnesota's large healthcare and retail employers.
How much do senior data science engineers make in Minnesota?
Senior 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 senior data science engineers in Minnesota?
Employers hiring senior 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 creates consistent year-round demand for senior-level data science talent.
Which Minnesota cities have the most senior data science engineer jobs?
Minneapolis, Rochester, and Saint Paul have the most senior data science engineer openings in Minnesota. The Twin Cities metro drives the majority of postings because it is home to corporate headquarters for employers in retail, financial services, and healthcare technology, while Rochester's concentration around major medical institutions and Bloomington's insurance and professional services sector add a meaningful share of openings outside Minneapolis and Saint Paul.
Are there remote senior data science engineer jobs in Minnesota?
Yes, and more than most fields. About 88% of senior data science engineer openings tied to Minnesota are remote or hybrid as of October 2026, reflecting how thoroughly this role's core work, modeling, analysis, and pipeline development, happens on a laptop connected to cloud infrastructure. Roles requiring real-time collaboration with product or engineering teams are most likely to specify hybrid rather than fully remote arrangements.
How can I get hired as a senior data science engineer in Minnesota with little or no experience?
The most realistic path is moving into a data science engineer role from an adjacent position such as data analyst, data engineer, or software engineer, roles that large Minnesota employers in healthcare and retail hire frequently and that share significant technical overlap. Target associate data scientist or junior data engineer openings at companies such as UnitedHealth Group, Target, or 3M, which run structured early-career programs. Building a portfolio of end-to-end ML projects and earning a cloud platform certification gives candidates a concrete edge with Minnesota hiring managers.
Where can I find and apply to senior data science engineer jobs in Minnesota?
You can find and apply to senior data science engineer jobs in Minnesota on Migrate Mate, which lists current openings from employers across the state. Search the listings, find roles that match your experience and preferred location or work arrangement, and apply directly to the ones that fit.
See All 16 Senior 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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