Data Scientist Jobs in USA with Visa Sponsorship
Data science is one of the strongest categories for H-1B visa sponsorship, with most positions requiring a master's degree or higher in a quantitative field. STEM classification makes extended OPT available, and sponsored roles are concentrated in tech, finance, and healthcare. For detailed occupation requirements, see the O*NET profile.
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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.
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Get Access To All JobsTips for Finding Visa Sponsorship as a Data Scientist
Specialize in a high-demand machine learning area
Natural language processing, computer vision, recommendation systems, and causal inference are specializations with strong sponsorship demand. Companies filing H-1B petitions for data scientists often need specific ML expertise that is difficult to source domestically, which strengthens the specialty occupation argument.
Target FAANG and top-tier tech companies
Google, Meta, Amazon, Apple, Netflix, and Microsoft file among the highest numbers of H-1B petitions for data science roles. These companies have streamlined immigration processes, dedicated legal teams, and the budget to support sponsorship at scale.
Publish research or contribute to open-source ML projects
Publications at conferences like NeurIPS, ICML, or KDD and contributions to open-source ML libraries demonstrate expertise that goes beyond a resume. This track record can also support future O-1 or EB-1 petitions if you build a significant body of work over time.
Use STEM OPT strategically
Data science degrees in statistics, computer science, or applied mathematics qualify for the 24-month STEM OPT extension, giving you up to 36 months of work authorization. Use this time to ship production ML models and demonstrate measurable business impact, which gives your employer a strong basis for sponsorship.
Frequently Asked Questions
How strong is visa sponsorship demand for data scientists?
Data scientist roles have consistently high H-1B visa filing activity, particularly in tech, finance, and healthcare. The role falls under SOC code 15-2051 (Data Scientists), which is classified as a STEM occupation. Companies like Google, Meta, Amazon, Netflix, and major banks file hundreds of H-1B petitions annually for data science positions.
How to find Data Scientist jobs with visa sponsorship?
Use Migrate Mate to find Data Scientist positions with H-1B, O-1 visa, or TN visa sponsorship. Focus on tech companies, financial institutions, healthcare organizations, and consulting firms that actively sponsor international talent. Filter for roles requiring machine learning, statistical analysis, and programming skills. Many Fortune 500 companies and growing startups regularly sponsor visas for qualified data science professionals.
What degree level is typically required for sponsored data scientist positions?
Most sponsored data scientist positions require at least a master's degree in statistics, computer science, mathematics, or a related quantitative field. Some entry-level roles accept a bachelor's degree with strong research or internship experience. A PhD can open doors to research scientist positions and may qualify for EB-1B or O-1 visa categories based on outstanding research contributions.
Can data scientists pursue green card sponsorship?
Yes, data scientists with several years of experience are strong candidates for EB-2 or EB-3 employer-sponsored green cards. Those with published research, patents, or significant contributions to the field may also qualify for EB-2 NIW (National Interest Waiver), which does not require employer sponsorship. Advanced degrees and specialized expertise in areas like machine learning or NLP can strengthen the petition.
What programming languages are most important for sponsored data science roles?
Python is the dominant language for data science, followed by R for statistical analysis and SQL for data manipulation. Experience with frameworks like PyTorch, TensorFlow, scikit-learn, and PySpark is expected for machine learning roles. Companies also value familiarity with cloud ML platforms like AWS SageMaker, Google Vertex AI, or Azure ML.
What is the prevailing wage requirement for sponsored Data Scientist jobs?
When a U.S. employer sponsors a foreign worker for a work visa, they are legally required to pay at least the "prevailing wage" — the average wage paid to workers in the same occupation, in the same geographic area, with similar experience. This is set by the Department of Labor to prevent employers from hiring foreign workers at below-market rates. The prevailing wage varies significantly by role, location, and experience level — for example, a data scientist in California will have a different prevailing wage than the same role in a smaller state. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search.