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.
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Showing 4 of 16+ Data Science Director 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 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.
Data Science Director 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 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, University of Minnesota, and IDeaS, per current listings on Migrate Mate as of October 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?
Minneapolis, Rochester, and Saint Paul 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 88% of data science director openings tied to Minnesota are remote or hybrid as of October 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 16 Data Science Director Jobs in Minnesota
Find roles in Minnesota that match your experience and apply in just a few clicks.
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