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
Discover Vanderbilt University Medical Center: Located in Nashville, Tennessee, and operating at a global crossroads of teaching, discovery, and patient care, VUMC is a community of individuals who come to work each day with the simple aim of changing the world. It is a place where your expertise will be valued, your knowledge expanded, and your abilities challenged. Vanderbilt Health is committed to an environment where everyone has the chance to thrive and where your uniqueness is sought and celebrated. It is a place where employees know they are part of something that is bigger than themselves, take exceptional pride in their work and never settle for what was good enough yesterday. Vanderbilt’s mission is to advance health and wellness through preeminent programs in patient care, education, and research.
ORGANIZATION:
MED Diabetes/Endocrinology
JOB SUMMARY:
Data Scientists perform detailed analyses of large bodies of heterogeneous data to discover new patterns and insights that impact patient health or augment human capabilities. Data Scientists have deep expertise in the methods used to analyze data and deep knowledge of data types, topics, and scientific challenges and approaches that will be used to help inform and define new products, experiences, and technologies. This position works in conjunction with Data Science and Informatics faculty to provide technical thought leadership and works closely with Informatics and IT teams to create data and intelligence-driven systems to solve complex client problems.
DEPARTMENT SUMMARY:
The Division of Diabetes, Endocrinology and Metabolism has a rich tradition of clinical, investigative and training excellence. With over 70 faculty and staff members, the division participates in a wide range of clinical programs and clinical and basic science research. Training the next generation of physicians and scientists is one of our main missions and involves programs in Endocrinology and Obesity Medicine, as well as funded T32 and T35 training programs.
KEY RESPONSIBILITIES
- Participates in multidisciplinary teams to design, develop, and recommend new approaches for data-driven decision-making.
- Leads discovery processes on pioneering Artificial Intelligence (“AI”)/Machine Learning (“ML”) based approaches to solve complex data problems across a variety of domains.
- Provides strategic direction regarding data science and AI in a specific area (e.g., cancer, surgery, planning services, marketing, healthcare delivery).
- Guides and educates data science teams to provide unbiased and accurate information, analysis, consultation, and recommendations to support strategic and operational data science initiatives.
- Develops analytics tools that can be used by other staff with non-technical expertise.
- In some positions, may work with enterprise executive leadership to advance digital strategy.
- Makes strategic recommendations on data collection, integration and retention requirements, incorporating business requirements and knowledge of best practices.
- Supports scientific projects under the supervision of a designated senior level data scientist or self-direction.
- Designs, develops, applies, and modifies scripts or software applications to support data management, extraction, and analysis.
- Provides consultative services and is responsible to gather, analyze, present findings to leadership.
TECHNICAL CAPABILITIES
Our Academic Enterprise is one of the nation’s longest serving and most prestigious academic medical centers. Through its historic bond with Vanderbilt University and integral role in the School of Medicine, Vanderbilt Health cultivates distinguished research and educational programs to advance a clinical enterprise that provides compassionate and personalized care and support for millions of patients and family members each year.
World-leading academic departments and comprehensive centers of excellence pursue scientific discoveries and transformational educational and clinical advances across the entire spectrum of health and disease.
Aligning with Vanderbilt Health’s Strategic Directions, the Office of Research provides shared research resources, administrative expertise and professional guidance to enable the trans-disciplinary environment and highly collaborative culture that advances discovery and training for all the research faculty, trainees, students and staff.
CORE ACCOUNTABILITIES:
Organizational Impact: Delivers job responsibilities that impact own job area/team with some guidance. Problem Solving/ Complexity of work: Uses existing procedures, research and analysis to solve standard job related problems that may require some judgement. Breadth of Knowledge: Requires subject matter knowledge within a professional area to meet job requirements. Team Interaction: Individually contributes to project/ work teams.
CORE CAPABILITIES:
Supporting Colleagues:
- Develops Self and Others: Continuously improves own skills by identifying development opportunities.
- Builds and Maintains Relationships: Seeks to understand colleagues priorities, working styles and develops relationships across areas.
- Communicates Effectively: Openly shares information with others and communicates in a clear and courteous manner.
Delivering Excellent Services:
- Serves Others with Compassion: Invests time to understand the problems, needs of others and how to provide excellent service.
- Solves Complex Problems: Seeks to understand issues, solves routine problems, and raises proper concerns to supervisors in a timely manner.
- Offers Meaningful Advice and Support: Listens carefully to understand the issues and provides accurate information and support.
Ensuring High Quality:
- Performs Excellent Work: Checks work quality before delivery and asks relevant questions to meet quality standards.
- Ensures Continuous Improvement: Shows eagerness to learn new knowledge, technologies, tools or systems and displays willingness to go above and beyond.
- Fulfills Safety and Regulatory Requirements: Demonstrates basic knowledge of conditions that affect safety and reports unsafe conditions to the appropriate person or department.
Managing Resources Effectively:
- Demonstrates Accountability: Takes responsibility for completing assigned activities and thinks beyond standard approaches to provide high-quality work/service.
- Stewards Organizational Resources: Displays understanding of how personal actions will impact departmental resources.
- Makes Data Driven Decisions: Uses accurate information and good decision making to consistently achieve results on time and without error.
Fostering Innovation:
- Generates New Ideas: Willingly proposes/accepts ideas or initiatives that will impact day-to-day operations by offering suggestions to enhance them.
- Applies Technology: Absorbs new technology quickly; understands when to utilize the appropriate tools and procedures to ensure proper course of action.
- Adapts to Change: Embraces changes by keeping an open mind to changing plans and incorporates change instructions into own area of work.
POSITION QUALIFICATIONS:
Responsibilities:
CERTIFICATIONS:
WORK EXPERIENCE:
Relevant Work Experience
EXPERIENCE LEVEL:
3 years
Education:
Master's
Vanderbilt Health is committed to fostering an environment where everyone has the chance to thrive and is committed to the principles of equal opportunity. EOE/Vets/Disabled.

INTRODUCTION
Discover Vanderbilt University Medical Center: Located in Nashville, Tennessee, and operating at a global crossroads of teaching, discovery, and patient care, VUMC is a community of individuals who come to work each day with the simple aim of changing the world. It is a place where your expertise will be valued, your knowledge expanded, and your abilities challenged. Vanderbilt Health is committed to an environment where everyone has the chance to thrive and where your uniqueness is sought and celebrated. It is a place where employees know they are part of something that is bigger than themselves, take exceptional pride in their work and never settle for what was good enough yesterday. Vanderbilt’s mission is to advance health and wellness through preeminent programs in patient care, education, and research.
ORGANIZATION:
MED Diabetes/Endocrinology
JOB SUMMARY:
Data Scientists perform detailed analyses of large bodies of heterogeneous data to discover new patterns and insights that impact patient health or augment human capabilities. Data Scientists have deep expertise in the methods used to analyze data and deep knowledge of data types, topics, and scientific challenges and approaches that will be used to help inform and define new products, experiences, and technologies. This position works in conjunction with Data Science and Informatics faculty to provide technical thought leadership and works closely with Informatics and IT teams to create data and intelligence-driven systems to solve complex client problems.
DEPARTMENT SUMMARY:
The Division of Diabetes, Endocrinology and Metabolism has a rich tradition of clinical, investigative and training excellence. With over 70 faculty and staff members, the division participates in a wide range of clinical programs and clinical and basic science research. Training the next generation of physicians and scientists is one of our main missions and involves programs in Endocrinology and Obesity Medicine, as well as funded T32 and T35 training programs.
KEY RESPONSIBILITIES
- Participates in multidisciplinary teams to design, develop, and recommend new approaches for data-driven decision-making.
- Leads discovery processes on pioneering Artificial Intelligence (“AI”)/Machine Learning (“ML”) based approaches to solve complex data problems across a variety of domains.
- Provides strategic direction regarding data science and AI in a specific area (e.g., cancer, surgery, planning services, marketing, healthcare delivery).
- Guides and educates data science teams to provide unbiased and accurate information, analysis, consultation, and recommendations to support strategic and operational data science initiatives.
- Develops analytics tools that can be used by other staff with non-technical expertise.
- In some positions, may work with enterprise executive leadership to advance digital strategy.
- Makes strategic recommendations on data collection, integration and retention requirements, incorporating business requirements and knowledge of best practices.
- Supports scientific projects under the supervision of a designated senior level data scientist or self-direction.
- Designs, develops, applies, and modifies scripts or software applications to support data management, extraction, and analysis.
- Provides consultative services and is responsible to gather, analyze, present findings to leadership.
TECHNICAL CAPABILITIES
Our Academic Enterprise is one of the nation’s longest serving and most prestigious academic medical centers. Through its historic bond with Vanderbilt University and integral role in the School of Medicine, Vanderbilt Health cultivates distinguished research and educational programs to advance a clinical enterprise that provides compassionate and personalized care and support for millions of patients and family members each year.
World-leading academic departments and comprehensive centers of excellence pursue scientific discoveries and transformational educational and clinical advances across the entire spectrum of health and disease.
Aligning with Vanderbilt Health’s Strategic Directions, the Office of Research provides shared research resources, administrative expertise and professional guidance to enable the trans-disciplinary environment and highly collaborative culture that advances discovery and training for all the research faculty, trainees, students and staff.
CORE ACCOUNTABILITIES:
Organizational Impact: Delivers job responsibilities that impact own job area/team with some guidance. Problem Solving/ Complexity of work: Uses existing procedures, research and analysis to solve standard job related problems that may require some judgement. Breadth of Knowledge: Requires subject matter knowledge within a professional area to meet job requirements. Team Interaction: Individually contributes to project/ work teams.
CORE CAPABILITIES:
Supporting Colleagues:
- Develops Self and Others: Continuously improves own skills by identifying development opportunities.
- Builds and Maintains Relationships: Seeks to understand colleagues priorities, working styles and develops relationships across areas.
- Communicates Effectively: Openly shares information with others and communicates in a clear and courteous manner.
Delivering Excellent Services:
- Serves Others with Compassion: Invests time to understand the problems, needs of others and how to provide excellent service.
- Solves Complex Problems: Seeks to understand issues, solves routine problems, and raises proper concerns to supervisors in a timely manner.
- Offers Meaningful Advice and Support: Listens carefully to understand the issues and provides accurate information and support.
Ensuring High Quality:
- Performs Excellent Work: Checks work quality before delivery and asks relevant questions to meet quality standards.
- Ensures Continuous Improvement: Shows eagerness to learn new knowledge, technologies, tools or systems and displays willingness to go above and beyond.
- Fulfills Safety and Regulatory Requirements: Demonstrates basic knowledge of conditions that affect safety and reports unsafe conditions to the appropriate person or department.
Managing Resources Effectively:
- Demonstrates Accountability: Takes responsibility for completing assigned activities and thinks beyond standard approaches to provide high-quality work/service.
- Stewards Organizational Resources: Displays understanding of how personal actions will impact departmental resources.
- Makes Data Driven Decisions: Uses accurate information and good decision making to consistently achieve results on time and without error.
Fostering Innovation:
- Generates New Ideas: Willingly proposes/accepts ideas or initiatives that will impact day-to-day operations by offering suggestions to enhance them.
- Applies Technology: Absorbs new technology quickly; understands when to utilize the appropriate tools and procedures to ensure proper course of action.
- Adapts to Change: Embraces changes by keeping an open mind to changing plans and incorporates change instructions into own area of work.
POSITION QUALIFICATIONS:
Responsibilities:
CERTIFICATIONS:
WORK EXPERIENCE:
Relevant Work Experience
EXPERIENCE LEVEL:
3 years
Education:
Master's
Vanderbilt Health is committed to fostering an environment where everyone has the chance to thrive and is committed to the principles of equal opportunity. EOE/Vets/Disabled.
See all 2,911+ Data Scientist jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Scientist roles.
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.
Prepare for rigorous technical interviews
Sponsored data scientist roles at top companies typically involve multiple interview rounds covering statistics, probability, SQL, coding, and ML system design. Prepare with resources specific to data science interviews rather than generic software engineering prep, as the emphasis on experimental design and statistical reasoning is distinct.
Data Scientist jobs are hiring across the US. Find yours.
Find Data Scientist JobsFrequently Asked Questions
How strong is visa sponsorship demand for data scientists?
Data scientist roles have consistently high H-1B 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, 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.
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