H-1B Visa Data Scientist Jobs
Data Scientist roles qualify as H-1B visa specialty occupations under USCIS guidelines, requiring at least a bachelor's degree in statistics, computer science, or a directly related field. Tech, finance, and healthcare employers file LCAs with DOL before sponsoring, and the annual H-1B visa cap means timing your job search around the April lottery window matters.
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Get Access To All JobsA Brief Overview
Responsible for receiving, informing, and executing projects that entail the entire scope of the data science pipeline which include, but are not limited to: integrating disparate and centralized data into data marts, developing statistical models, designing and automating report distribution while continuously presenting and re-assessing results in support of department initiatives. This position will both lead and support interdisciplinary collaboration to identify opportunities and deploy adaptive analytic strategies to provide measurable improvements in the value of care delivered by University Hospitals to current and future patient populations.
What You Will Do
- Lead the discovery and requirements gathering process with key clinical and business stakeholders to inform analytic plans
- Collaboratively co-create the discovery, design, development, deployment, optimization, and maintenance of advanced analytics and data science techniques to enrich disparate datasets to craft data-driven interventions aimed at achieving the Quadruple Aim.
- Research, design, develop and implement statistical models, and advanced analytics to support key strategic initiatives.
- Develop and deploy innovative analytic solutions for simplistic Analytics-As-A-Service Business Intelligence dashboards, rapid-fire flash reports directly to clinical and operational colleagues and/or other customized reporting distribution solutions.
- Visualize data in creative ways that brings data and insights to life and is consumable in the business and operational workflow of end-users
- Creatively utilize diverse data sources, such as electronic health record data, insurance claims data, scheduling and financial data, social determinants of health data and any other relevant sources that help support UH Clinical Transformation and System Operations Strategy.
- Develop purpose-driven data marts in Alteryx and SQL environments (on premise and Microsoft Azure).
- Assess the effectiveness and accuracy of new data sources and data gathering techniques
- Collaborate with IT to support data architecture of diverse datasets that support clinical integration by converging these disparate data systems into repositories fit for algorithmic development and model training.
- Evaluate business performance and dynamically monitor critical operational measures related to shared savings arrangements and other value-based programs with governmental and commercial payors.
- Propose and develop novel solutions to UH data science problems, demonstrate and evaluate the feasibility of these solutions and continuously adapt these solutions to integrate into the context of real-world clinical care.
- Support the creation of analytics and scientific exploration related to risk modeling, financial performance and quality of care for managed populations.
- Create technical interfacing to deploy simplified analytics directly to provider portal(s), websites, or mobile applications to enhance the UH Clinical Transformation and System Operations Strategy.
- Develop documentation, software, support tools, and technology infrastructure to enhance the ability of analysts and operational leaders across the clinical enterprise to effectively and rapidly extract meaning from health care data.
- Develop processes and tools to monitor and analyze analytical model performance and data accuracy; provide ad-hoc analysis and visualizations.
- Engage, mentor, co-create, cross-train, and learn from data science and analytical colleagues to promote a collaborative environment with applied process learning.
Additional Responsibilities
- Performs other duties as assigned.
- Complies with all policies and standards.
- For specific duties and responsibilities, refer to documentation provided by the department during orientation.
- Must abide by all requirements to safely and securely maintain Protected Health Information (PHI) for our patients. Annual training, the UH Code of Conduct and UH policies and procedures are in place to address appropriate use of PHI in the workplace.
Education
- Bachelor's Degree in Math, Statistics, Computer Science, Economics, Sociology, Public Health, or related Quantitative of Social Science discipline (Required)
- Master's Degree in related field (Preferred)
Work Experience
- less than 1 year working with complex analytic situations or big data environments (Required)
- Healthcare (Hospital/Health System, Payor, or Life Sciences) experience (Preferred)
- Population Health Experience (Strongly Preferred)
Knowledge, Skills, & Abilities
- Experience with statistics, geospatial analytics or business intelligence development, report automation, and applied ETL development (Required proficiency)
- Experience with at least 1 advanced programming method (e.g. Python, R, etc.) (Required proficiency)
- Experience with relational databases and SQL queries (Required proficiency)
- Experience in data visualization and ability to communicate results to a non-technical audience (Required proficiency)
- Experience being part of strategic projects with high visibility and impact with many internal and external teams involved. (Required proficiency)
- Experience providing insights to executive stakeholders (Required proficiency)
- Experience managing collaborative data science projects (Required proficiency)
- Experience providing analytics that have a major impact on company’s strategic imperatives and business results. (Required proficiency)
- At least one scientific computing language such as Python (e.g. pandas, scikit-learn, genism, seaborn, tensorflow) or R (e.g. caret, dplyr, ggplot2) (Required proficiency)
- SQL/complex SQL queries (Required proficiency)
- Knowledge of Microsoft Azure (Required proficiency)
- Ability to work independently and use creative approaches to problem-solving but know when to seek help from other team members (Required proficiency)
- Optimistic, self-directed performer capable of complex decision making and communication (Required proficiency)
- Capable of turning questions into testable hypotheses, extracting data from complex databases, creating and evaluating statistical models (Required proficiency)
- Capable of gathering and validating requirements, articulating the pros and cons of different analytic approaches, estimating timelines for completion of work, and predicting potential challenges to producing accurate time estimates and analytic plans. (Required proficiency)
- Working knowledge of emerging technology platforms (Required proficiency)
- Experience and working knowledge of Electronic Health Records (Epic and Allscripts), claims-based reporting, and fluency with healthcare coding. (Preferred proficiency)
Physical Demands
- Standing Occasionally
- Walking Occasionally
- Sitting Constantly
- Lifting Rarely up to 20 lbs
- Carrying Rarely up to 20 lbs
- Pushing Rarely up to 20 lbs
- Pulling Rarely up to 20 lbs
- Climbing Rarely up to 20 lbs
- Balancing Rarely
- Stooping Rarely
- Kneeling Rarely
- Crouching Rarely
- Crawling Rarely
- Reaching Rarely
- Handling Occasionally
- Grasping Occasionally
- Feeling Rarely
- Talking Constantly
- Hearing Constantly
- Repetitive Motions Frequently
- Eye/Hand/Foot Coordination Frequently
Travel Requirements
- 10%
A Brief Overview
Responsible for receiving, informing, and executing projects that entail the entire scope of the data science pipeline which include, but are not limited to: integrating disparate and centralized data into data marts, developing statistical models, designing and automating report distribution while continuously presenting and re-assessing results in support of department initiatives. This position will both lead and support interdisciplinary collaboration to identify opportunities and deploy adaptive analytic strategies to provide measurable improvements in the value of care delivered by University Hospitals to current and future patient populations.
What You Will Do
- Lead the discovery and requirements gathering process with key clinical and business stakeholders to inform analytic plans
- Collaboratively co-create the discovery, design, development, deployment, optimization, and maintenance of advanced analytics and data science techniques to enrich disparate datasets to craft data-driven interventions aimed at achieving the Quadruple Aim.
- Research, design, develop and implement statistical models, and advanced analytics to support key strategic initiatives.
- Develop and deploy innovative analytic solutions for simplistic Analytics-As-A-Service Business Intelligence dashboards, rapid-fire flash reports directly to clinical and operational colleagues and/or other customized reporting distribution solutions.
- Visualize data in creative ways that brings data and insights to life and is consumable in the business and operational workflow of end-users
- Creatively utilize diverse data sources, such as electronic health record data, insurance claims data, scheduling and financial data, social determinants of health data and any other relevant sources that help support UH Clinical Transformation and System Operations Strategy.
- Develop purpose-driven data marts in Alteryx and SQL environments (on premise and Microsoft Azure).
- Assess the effectiveness and accuracy of new data sources and data gathering techniques
- Collaborate with IT to support data architecture of diverse datasets that support clinical integration by converging these disparate data systems into repositories fit for algorithmic development and model training.
- Evaluate business performance and dynamically monitor critical operational measures related to shared savings arrangements and other value-based programs with governmental and commercial payors.
- Propose and develop novel solutions to UH data science problems, demonstrate and evaluate the feasibility of these solutions and continuously adapt these solutions to integrate into the context of real-world clinical care.
- Support the creation of analytics and scientific exploration related to risk modeling, financial performance and quality of care for managed populations.
- Create technical interfacing to deploy simplified analytics directly to provider portal(s), websites, or mobile applications to enhance the UH Clinical Transformation and System Operations Strategy.
- Develop documentation, software, support tools, and technology infrastructure to enhance the ability of analysts and operational leaders across the clinical enterprise to effectively and rapidly extract meaning from health care data.
- Develop processes and tools to monitor and analyze analytical model performance and data accuracy; provide ad-hoc analysis and visualizations.
- Engage, mentor, co-create, cross-train, and learn from data science and analytical colleagues to promote a collaborative environment with applied process learning.
Additional Responsibilities
- Performs other duties as assigned.
- Complies with all policies and standards.
- For specific duties and responsibilities, refer to documentation provided by the department during orientation.
- Must abide by all requirements to safely and securely maintain Protected Health Information (PHI) for our patients. Annual training, the UH Code of Conduct and UH policies and procedures are in place to address appropriate use of PHI in the workplace.
Education
- Bachelor's Degree in Math, Statistics, Computer Science, Economics, Sociology, Public Health, or related Quantitative of Social Science discipline (Required)
- Master's Degree in related field (Preferred)
Work Experience
- less than 1 year working with complex analytic situations or big data environments (Required)
- Healthcare (Hospital/Health System, Payor, or Life Sciences) experience (Preferred)
- Population Health Experience (Strongly Preferred)
Knowledge, Skills, & Abilities
- Experience with statistics, geospatial analytics or business intelligence development, report automation, and applied ETL development (Required proficiency)
- Experience with at least 1 advanced programming method (e.g. Python, R, etc.) (Required proficiency)
- Experience with relational databases and SQL queries (Required proficiency)
- Experience in data visualization and ability to communicate results to a non-technical audience (Required proficiency)
- Experience being part of strategic projects with high visibility and impact with many internal and external teams involved. (Required proficiency)
- Experience providing insights to executive stakeholders (Required proficiency)
- Experience managing collaborative data science projects (Required proficiency)
- Experience providing analytics that have a major impact on company’s strategic imperatives and business results. (Required proficiency)
- At least one scientific computing language such as Python (e.g. pandas, scikit-learn, genism, seaborn, tensorflow) or R (e.g. caret, dplyr, ggplot2) (Required proficiency)
- SQL/complex SQL queries (Required proficiency)
- Knowledge of Microsoft Azure (Required proficiency)
- Ability to work independently and use creative approaches to problem-solving but know when to seek help from other team members (Required proficiency)
- Optimistic, self-directed performer capable of complex decision making and communication (Required proficiency)
- Capable of turning questions into testable hypotheses, extracting data from complex databases, creating and evaluating statistical models (Required proficiency)
- Capable of gathering and validating requirements, articulating the pros and cons of different analytic approaches, estimating timelines for completion of work, and predicting potential challenges to producing accurate time estimates and analytic plans. (Required proficiency)
- Working knowledge of emerging technology platforms (Required proficiency)
- Experience and working knowledge of Electronic Health Records (Epic and Allscripts), claims-based reporting, and fluency with healthcare coding. (Preferred proficiency)
Physical Demands
- Standing Occasionally
- Walking Occasionally
- Sitting Constantly
- Lifting Rarely up to 20 lbs
- Carrying Rarely up to 20 lbs
- Pushing Rarely up to 20 lbs
- Pulling Rarely up to 20 lbs
- Climbing Rarely up to 20 lbs
- Balancing Rarely
- Stooping Rarely
- Kneeling Rarely
- Crouching Rarely
- Crawling Rarely
- Reaching Rarely
- Handling Occasionally
- Grasping Occasionally
- Feeling Rarely
- Talking Constantly
- Hearing Constantly
- Repetitive Motions Frequently
- Eye/Hand/Foot Coordination Frequently
Travel Requirements
- 10%
See all 977+ H-1B Visa Data Scientist Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new H-1B Visa Data Scientist Jobs.
Get Access To All JobsTips for Finding H-1B Visa Sponsorship as a Data Scientist
Verify your degree field matches the role
USCIS requires a direct relationship between your degree and the Data Scientist position. A degree in statistics, mathematics, or computer science maps cleanly. A degree in an unrelated field increases RFE risk, so document how your coursework connects to the role before applying.
Use OFLC Wage Search before salary negotiations
Your employer's LCA must certify a wage at or above the DOL prevailing wage for your specific SOC code and work location. Pull the OFLC Wage Search figures for SOC 15-2051 in your target metro before you enter offer discussions.
Target cap-exempt employers for faster timelines
Universities, nonprofit research institutions, and government-affiliated entities are cap-exempt, meaning they can file your H-1B petition any time of year without entering the lottery. If lottery timing creates a gap in your authorization, these employers eliminate that risk entirely.
Find H-1B sponsors using Migrate Mate
Search Data Scientist roles on Migrate Mate to filter directly for employers with verified H-1B LCA filing history. You'll see which companies have sponsored this role before, letting you focus applications on confirmed sponsors rather than guessing from job postings.
Request premium processing if your OPT end date is tight
USCIS premium processing upgrades adjudication to 15 business days. If your OPT expires close to October 1 and your employer files in April, premium processing reduces the risk of a gap before your H-1B takes effect. Ask your employer to include it in the petition.
Pull your O*NET profile before the specialty occupation assessment
Employers and attorneys use O*NET to document that Data Scientist roles require a specific bachelor's degree. Review the O*NET occupation profile for your SOC code early so you can align your job description and offer letter language with what USCIS expects to see.
H-1B Visa Data Scientist: Frequently Asked Questions
Does a Data Scientist role qualify as an H-1B specialty occupation?
Yes. USCIS consistently recognizes Data Scientist positions as specialty occupations because the role requires at least a bachelor's degree in a directly related field such as statistics, computer science, mathematics, or data science. Your employer will document this in the H-1B petition using your job description and degree credentials. Roles where any bachelor's degree is accepted regardless of field are harder to qualify, so your offer letter should specify the required degree discipline.
Which employers sponsor H-1B visas for Data Scientists?
Technology companies, financial institutions, healthcare systems, and large consulting firms are among the most active H-1B sponsors for Data Scientist roles. Employers must file a Labor Condition Application with DOL before petitioning USCIS, so prior LCA filings are a reliable proxy for sponsorship willingness. Migrate Mate surfaces employers with verified H-1B filing history for this role, so you can focus your search on confirmed sponsors.
How does the H-1B lottery affect my Data Scientist job search timeline?
USCIS opens H-1B registration each March for the fiscal year starting October 1. If your employer submits a registration and you're selected, the petition can be filed between April and June with an October 1 start date. Cap-exempt employers, including universities and nonprofit research organizations, aren't subject to the lottery and can file year-round, which is worth factoring into your job search if you're on a tight authorization timeline.
What wage level should I expect on my H-1B LCA as a Data Scientist?
Your employer's LCA must certify a wage at or above the DOL prevailing wage for the Data Scientist SOC code in your specific work location. Prevailing wages are tiered from Level I through Level IV based on experience and complexity. You can look up the applicable figures using the OFLC Wage Search tool before entering salary negotiations, which helps you evaluate whether an offer satisfies the LCA requirement.
Can I change employers while on an H-1B as a Data Scientist?
Yes. H-1B portability under AC21 lets you start working for a new employer once they file an H-1B transfer petition on your behalf, without waiting for approval, as long as your current H-1B has been approved for at least 180 days and the new role is in a same or similar occupational classification. Data Scientist to Data Scientist transfers are straightforward. Your new employer must file a new LCA and H-1B petition before or when you start.