Data Scientist Visa Sponsorship Jobs in Minnesota
Data scientist visa sponsorship jobs in Minnesota are concentrated in the Twin Cities metro, where employers like UnitedHealth Group, Target, and 3M actively hire for machine learning, analytics, and AI roles. The state's strong healthcare IT, retail analytics, and medical device sectors create consistent demand for international data science talent.
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Get Access To All JobsSenior Data Scientist - Supply Chain Analytics
As a Senior Data Scientist on the Supply Chain Analytical Solutions team, you’ll take the lead on solving complex supply chain challenges that directly impact how products move from warehouses to customers. You’ll work across transportation, distribution, and fulfillment, turning messy data into clear, actionable insights. This is a hands-on, high-impact role where you’ll frame problems, select appropriate methodologies, develop solutions, and see your work drive real results. If you enjoy tackling ambiguous problems and influencing decisions, you’ll find this work both challenging and rewarding. A strong candidate will have a proven track record of leveraging advanced data science and operations research techniques to improve operational performance, and producing solutions that deliver measurable business value and inform operational decisions.
This role is hybrid, which means you will be required to work some days on-site at the Best Buy location listed on this posting and some days virtually from home or another non-Best Buy location. The specific work arrangements vary by role and team. The recruiter or hiring manager will provide more details during the hiring process.
What you’ll do
- Lead the formulation and execution of complex, ambiguous analytics problems across supply chain domains, owning solutions end to end, from problem framing and methodology selection through deployment, monitoring, and measurement of business impact.
- Serve as a trusted analytics advisor to fulfillment, logistics, and operations partners, to translate business context into models that drive measurable business impact through improved decisions.
- Partner cross-functionally with supply chain, technology, data engineering, and product teams to ensure analytical solutions are production-ready, scalable, and adopted.
- Effectively communicate with diverse audiences, including technical teams, business stakeholders, and executive leadership, through both written and verbal channels.
- Provide technical leadership and mentorship to Data Scientists and Decision Scientists, raising analytical rigor, solution quality, and consistency across the team.
- Explore and apply emerging analytics methods and technologies to advance supply chain capabilities, while establishing and reinforcing best practices for documentation, reproducibility, validation, and analytical standards.
Basic qualifications
- Bachelor’s degree in mathematics, statistics, economics, computer science, operations research, industrial engineering or a related quantitative field
- 4+ years of relevant experience in research and/or a quantitative field, including 3+ years of applied or industry experience or equivalent experience.
- 4+ years hands-on experience using data analytics (e.g., SQL, Python, R), and machine learning and/or optimization tools (i.e., Python, R, Gurobi, Vertex AI).
- 2+ years of experience working with large, structured and unstructured datasets
- Ability to deliver solutions that drive measurable business outcomes
- Demonstrated track record of delivering analytics solutions that provide measurable business value and influence decisions.
- Familiarity with and hands-on application of more than one analytical or modeling paradigm, such as optimization, machine learning, artificial intelligence, statistical modeling, simulation, or other operations research techniques, applied to real-world business problems.
Preferred qualifications
- Master’s or PhD in a quantitative discipline
- Experience in retail, supply chain, logistics or fulfillment
- Experience working with globally distributed teams
What’s in it for you
We’re committed to helping our people thrive at work and at home. We offer generous benefits that address your total well-being and provide support as you need it, especially key moments in your life.
Our benefits include:
- Competitive pay
- Generous employee discount
- Physical and mental well-being support
Best Buy provides different types of leaves of absence (LOA) and potential pay sources to employees based on eligibility. The length of your LOA depends on your situation, where you live, your full-time or part-time employment status, and federal and state regulations. Intermittent or reduced-schedule leave is also available for certain medical or family care leaves. Paid time off (vacation or PTO) is offered to full-time and part-time employees based on work location, employment status, salary or hourly status (exempt/non-exempt), and years of continued or bridged service.
Certain roles, where market norms demand it, are eligible for various forms of incentive pay to drive performance and offer recognition for achieving financial and strategic results. For more information about our incentive pay plans, including eligibility, please refer to our Incentive Programs Summary.
For more information about benefits, LOA and paid time off, please refer to our Benefits Guide.
About us
As part of the Best Buy team, you’ll help us fulfill our purpose to enrich lives through technology. We bring that to life every day by humanizing and personalizing tech solutions for every stage of life — in our stores, online and in customers’ homes.
Our culture is built on deeply supporting and valuing our amazing employees who make it all possible. We’re committed to being a great place to work, where you can unlock unique career possibilities. Above all, we aim to provide a place where you can bring your full, authentic self to work now and into the future. Tomorrow works here.™
Best Buy is an equal opportunity employer.
Position Type: Full time
Senior Data Scientist - Supply Chain Analytics
As a Senior Data Scientist on the Supply Chain Analytical Solutions team, you’ll take the lead on solving complex supply chain challenges that directly impact how products move from warehouses to customers. You’ll work across transportation, distribution, and fulfillment, turning messy data into clear, actionable insights. This is a hands-on, high-impact role where you’ll frame problems, select appropriate methodologies, develop solutions, and see your work drive real results. If you enjoy tackling ambiguous problems and influencing decisions, you’ll find this work both challenging and rewarding. A strong candidate will have a proven track record of leveraging advanced data science and operations research techniques to improve operational performance, and producing solutions that deliver measurable business value and inform operational decisions.
This role is hybrid, which means you will be required to work some days on-site at the Best Buy location listed on this posting and some days virtually from home or another non-Best Buy location. The specific work arrangements vary by role and team. The recruiter or hiring manager will provide more details during the hiring process.
What you’ll do
- Lead the formulation and execution of complex, ambiguous analytics problems across supply chain domains, owning solutions end to end, from problem framing and methodology selection through deployment, monitoring, and measurement of business impact.
- Serve as a trusted analytics advisor to fulfillment, logistics, and operations partners, to translate business context into models that drive measurable business impact through improved decisions.
- Partner cross-functionally with supply chain, technology, data engineering, and product teams to ensure analytical solutions are production-ready, scalable, and adopted.
- Effectively communicate with diverse audiences, including technical teams, business stakeholders, and executive leadership, through both written and verbal channels.
- Provide technical leadership and mentorship to Data Scientists and Decision Scientists, raising analytical rigor, solution quality, and consistency across the team.
- Explore and apply emerging analytics methods and technologies to advance supply chain capabilities, while establishing and reinforcing best practices for documentation, reproducibility, validation, and analytical standards.
Basic qualifications
- Bachelor’s degree in mathematics, statistics, economics, computer science, operations research, industrial engineering or a related quantitative field
- 4+ years of relevant experience in research and/or a quantitative field, including 3+ years of applied or industry experience or equivalent experience.
- 4+ years hands-on experience using data analytics (e.g., SQL, Python, R), and machine learning and/or optimization tools (i.e., Python, R, Gurobi, Vertex AI).
- 2+ years of experience working with large, structured and unstructured datasets
- Ability to deliver solutions that drive measurable business outcomes
- Demonstrated track record of delivering analytics solutions that provide measurable business value and influence decisions.
- Familiarity with and hands-on application of more than one analytical or modeling paradigm, such as optimization, machine learning, artificial intelligence, statistical modeling, simulation, or other operations research techniques, applied to real-world business problems.
Preferred qualifications
- Master’s or PhD in a quantitative discipline
- Experience in retail, supply chain, logistics or fulfillment
- Experience working with globally distributed teams
What’s in it for you
We’re committed to helping our people thrive at work and at home. We offer generous benefits that address your total well-being and provide support as you need it, especially key moments in your life.
Our benefits include:
- Competitive pay
- Generous employee discount
- Physical and mental well-being support
Best Buy provides different types of leaves of absence (LOA) and potential pay sources to employees based on eligibility. The length of your LOA depends on your situation, where you live, your full-time or part-time employment status, and federal and state regulations. Intermittent or reduced-schedule leave is also available for certain medical or family care leaves. Paid time off (vacation or PTO) is offered to full-time and part-time employees based on work location, employment status, salary or hourly status (exempt/non-exempt), and years of continued or bridged service.
Certain roles, where market norms demand it, are eligible for various forms of incentive pay to drive performance and offer recognition for achieving financial and strategic results. For more information about our incentive pay plans, including eligibility, please refer to our Incentive Programs Summary.
For more information about benefits, LOA and paid time off, please refer to our Benefits Guide.
About us
As part of the Best Buy team, you’ll help us fulfill our purpose to enrich lives through technology. We bring that to life every day by humanizing and personalizing tech solutions for every stage of life — in our stores, online and in customers’ homes.
Our culture is built on deeply supporting and valuing our amazing employees who make it all possible. We’re committed to being a great place to work, where you can unlock unique career possibilities. Above all, we aim to provide a place where you can bring your full, authentic self to work now and into the future. Tomorrow works here.™
Best Buy is an equal opportunity employer.
Position Type: Full time
Data Scientist Job Roles in Minnesota
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Search Data Scientist Jobs in MinnesotaData Scientist Jobs in Minnesota: Frequently Asked Questions
Which companies sponsor visas for data scientists in Minnesota?
UnitedHealth Group and its subsidiary Optum are among the most active sponsors for data scientists in Minnesota, given their scale in healthcare analytics. Target's data science division in Minneapolis, along with 3M, Mayo Clinic (primarily in Rochester), and financial services firms like U.S. Bancorp, have established track records of filing H-1B visa petitions for data science roles.
Which visa types are most common for data scientist roles in Minnesota?
The H-1B is the most common visa for data scientists in Minnesota, as the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, statistics, or a related field. Candidates with Indian or Chinese nationality who face long green card backlogs may also hold H-1B extensions beyond the standard six years. Australians may qualify for the E-3 visa, and Canadians and Mexicans may qualify under TN visa status in relevant technical categories.
Which cities in Minnesota have the most data scientist sponsorship jobs?
The Minneapolis-Saint Paul metro area accounts for the vast majority of data scientist sponsorship activity in Minnesota, driven by its concentration of Fortune 500 headquarters and major healthcare organizations. Rochester is a secondary market with meaningful demand, primarily from Mayo Clinic. Outside these two metros, data science sponsorship opportunities in Minnesota are relatively limited.
How to find data scientist visa sponsorship jobs in Minnesota?
Migrate Mate filters job listings specifically for visa sponsorship, so you can search data scientist roles in Minnesota without sorting through employers who won't sponsor. The platform covers openings across Minneapolis-Saint Paul and Rochester, including positions at healthcare analytics firms, retail tech teams, and medical device companies that have active H-1B filing histories in the state.
Are there any state-specific or role-specific considerations for data scientists seeking sponsorship in Minnesota?
Minnesota's data science hiring is heavily shaped by its healthcare sector, which means many roles require domain knowledge in clinical data, electronic health records, or insurance claims modeling. University of Minnesota graduates in data science and statistics represent a significant pipeline for local employers, so international candidates often compete in a market where employers have existing OPT-to-H-1B relationships. Prevailing wage requirements apply statewide and vary by metro area, with Twin Cities positions generally falling in higher wage tiers.
What is the prevailing wage for sponsored data scientist jobs in Minnesota?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.