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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INTRODUCTION
For those who want to invent the future of health care, here's your opportunity. We're going beyond basic care to health programs integrated across the entire continuum of care. Join us in making healthcare work better for everyone through people-led, responsible AI while Caring. Connecting. Growing together.
The Data Scientist will provide cross-organizational support for various modeling and analytic needs for federal customers, including conducting and developing frameworks to build machine learning and predictive models to support business needs such as program integrity and fraud, waste, and abuse detection. In addition, this role will be involved in vetting tools and technologies as part of the organizational technology roadmap, bringing innovation and critical input on the viability of tools to meet emerging federal customer needs. This role is crucial to the organization, understanding customers and use cases and applying proven data science techniques to meet various needs.
You'll enjoy the flexibility to work remotely from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week.
PRIMARY RESPONSIBILITIES:
- Research, design and develop analytic models including predictive models using machine learning and deep learning best practices using languages such as python and R
- Develop processes and best practices for training various predictive models including training and test data sets and timelines
- Conduct data mining, data preparation activities in support of identifying and researching fraud, waste and abuse and other use cases using SQL and other techniques
- Leverage additional analytic techniques in support of research such as geospatial and graph analytics
- Build reports to summarize analyses including various charts, graphs and other visualization to be understood by customers
- Complete training and vet new tools and technology designed for data science work including machine learning and predictive analytic platforms
- Consult with customers and other internal staff to identify use cases, analytic needs and conceptualize methodologies for solving
You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.
REQUIRED QUALIFICATIONS:
- 5+ years of hands-on experience developing analytic rules and models using leading edge analytic tools and best practices
- 5+ years of hands-on experience of data management and advanced analytic techniques.
- 5+ years of hands-on experience coding rules and models using open-source programming techniques and tools.
- The data scientist should have a mix of proven skillsets such as:
- Graph analytics
- Programming (Python, SQL, R, etc.)
- Machine Learning
- Geospatial
- Cloud data management
- Big Data
- Data wrangling, processing of large data sets
- Natural Language Processing
- Math and Statistics
- Data Visualization
- Storytelling skills
- Demonstrated solid oral and written skills
PREFERRED QUALIFICATIONS:
- Experience using modeling platforms such as Databricks
- Experience using cloud-native tools and services for data science such as AWS Sagemaker
- Experience handling and researching big data sets including volumes in hundreds of millions; understanding of optimizing queries to improve performance
- Experience with data visualization tools or business intelligence tools such as Tableau
- Experience using healthcare claims data and working in fraud, waste and abuse is a plus
All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy.
Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $91,700 - $163,700 annually based on full-time employment. We comply with all minimum wage laws as applicable.
Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.
At UnitedHealth Group, our mission is to help people live healthier lives and help make the health system work better for everyone. Together, we are shaping the future of healthcare by harnessing technology and innovation to make care simpler to navigate, more affordable and more connected for the people we serve. We are committed to creating an inclusive workplace where everyone feels welcomed, valued, heard and respected, empowering people to bring their authentic selves to work and strengthening our collective impact through diverse talents, backgrounds, experiences and perspectives.
UnitedHealth Group and its affiliated brands are an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.
UnitedHealth Group and its affiliated brands are a drug-free workplace. Candidates are required to pass a drug test before beginning employment.
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.