H-1B Visa Data Science Analyst Jobs
Data Science Analyst roles sit squarely within H-1B specialty occupation criteria, requiring at least a bachelor's degree in statistics, computer science, mathematics, or a related field. Employers file the Labor Condition Application with DOL before sponsoring, and most tech, finance, and healthcare companies with active data teams have established H-1B filing programs.
See All Data Science Analyst JobsOverview
Showing 5 of 17,430+ Data Science Analyst jobs
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
See all 17,430+ Data Science Analyst jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Science Analyst roles.
Get Access To All JobsLocation: Rochester, MN
Department: Information Technology
Why Mayo Clinic
Mayo Clinic is top-ranked in more specialties than any other care provider according to U.S. News & World Report. As we work together to put the needs of the patient first, we are also dedicated to our employees, investing in competitive compensation and comprehensive benefit plans – to take care of you and your family, now and in the future. And with continuing education and advancement opportunities at every turn, you can build a long, successful career with Mayo Clinic.
Benefits Highlights
- Medical: Multiple plan options.
- Dental: Delta Dental or reimbursement account for flexible coverage.
- Vision: Affordable plan with national network.
- Pre-Tax Savings: HSA and FSAs for eligible expenses.
- Retirement: Competitive retirement package to secure your future.
Responsibilities
Data Scientists at Mayo Clinic perform detailed analysis of large bodies of heterogeneous data in order to discover new patterns and insights having an impact upon patient health and augmenting human capabilities. Candidate has deep expertise in AI, machine learning, deep learning, statistical data processing, regression techniques, neural networks, decision trees, clustering, pattern recognition, probability theory and data science methods and the mathematical theories underlying these tools used to analyze data. Has deep knowledge of healthcare data types, topics, and scientific challenges and approaches.
Work with knowledge architects, informaticians and clinicians at Mayo, and partner outside companies to develop and deploy applications to bring AI and analytic solutions to nontechnical users, often at the point of care. Designs and develops scripts or software applications to support data management, data extraction, data analysis, and AI as required. This position may develop predictive and prescriptive models to address complex problems, discover insights, and identify opportunities using machine learning, statistical techniques, and data mining. Provides Consultative Services at an enterprise level to departments/divisions and/or may lead scientific projects. May have direct and indirect reports.
Other responsibilities:
- Provides deep data insights for complex business problems that can be approached with analytics techniques to collect, explore, and extract insights from structured and unstructured data.
- Develops predictive and prescriptive models to address complex problems, discover insights, and identify opportunities using machine learning, statistical techniques, and data mining.
- Makes presentations on assigned projects or proposals.
- Conducts advanced data analysis and designs highly complex algorithm systems.
- Functions independently and initiates judgment in handling delegated responsibilities.
- Experience leading technical/quantitative teams.
- Develops experimental design approaches to validate findings or test hypotheses.
- Identifies/creates the appropriate algorithm to discover patterns.
- Leads and directs the interpretation of data analysis and writing reports.
Qualifications
A Master's degree in a relevant field such as engineering, mathematics, computer science, health science, or other analytical/quantitative and a minimum of five years of professional or research experience in data science.
The preferred candidate will possess a PhD in a relevant field such as engineering, mathematics, computer science, health science, or other analytical/quantitative field and a minimum of three years of professional or research experience in data science and statistical/machine learning packages.
The successful candidate will need to have both technical and business background/experience along with strong leadership skills. Good written and oral communication skills are required. Deep expertise in the use of scientific computing and data management packages. Ability to prioritize, organize, and delegate various tasks on projects. Demonstrated initiative in administration, education (seminars, training), software development, and technical reports. Demonstrated success in project management and communication skills. Demonstrated ability to develop predictive and prescriptive models on large-scale datasets to address various business problems through leveraging advanced statistical modeling, machine learning, or data mining techniques. Demonstrated ability to provide consultative services at an institutional or enterprise level to departments/divisions and committees from any Mayo entity requesting assistance is preferred. Demonstrated application of several problem-solving methodologies, planning techniques, continuous improvement methods, project management methods, and analytical tools and methodologies (e.g. machine learning, statistical packages, modeling, etc.) required. Incumbent must have ability to independently manage a varied workload of projects with multiple priorities and stay current on healthcare trends and enterprise changes. Excellent interpersonal skills to include presentation, negotiation, persuasion, and written communications skills are required. Exceptional time management is required. In addition, requires excellent analytical skills, consulting skills, ability to identify and recommend solutions, advanced computer application skills and a commitment to customer service. Experience with data modeling and data exploration tools.
Exemption Status
Exempt
Compensation Detail
$148,137.60 - $214,760.00 / year
Benefits Eligible
Yes
Schedule
Full Time
Hours/Pay Period
80
Schedule Details
Monday - Friday, 8am - 5pm
International Assignment
No
Site Description
Just as our reputation has spread beyond our Minnesota roots, so have our locations. Today, our employees are located at our three major campuses in Phoenix/Scottsdale, Arizona, Jacksonville, Florida, Rochester, Minnesota, and at Mayo Clinic Health System campuses throughout Midwestern communities, and at our international locations. Each Mayo Clinic location is a special place where our employees thrive in both their work and personal lives. Learn more about what each unique Mayo Clinic campus has to offer, and where your best fit is.
Equal Opportunity
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, protected veteran status or disability status. Learn more about the "EOE is the Law". Mayo Clinic participates in E-Verify and may provide the Social Security Administration and, if necessary, the Department of Homeland Security with information from each new employee's Form I-9 to confirm work authorization.
Recruiter
Ted Keefe
Location: Rochester, MN
Department: Information Technology
Why Mayo Clinic
Mayo Clinic is top-ranked in more specialties than any other care provider according to U.S. News & World Report. As we work together to put the needs of the patient first, we are also dedicated to our employees, investing in competitive compensation and comprehensive benefit plans – to take care of you and your family, now and in the future. And with continuing education and advancement opportunities at every turn, you can build a long, successful career with Mayo Clinic.
Benefits Highlights
- Medical: Multiple plan options.
- Dental: Delta Dental or reimbursement account for flexible coverage.
- Vision: Affordable plan with national network.
- Pre-Tax Savings: HSA and FSAs for eligible expenses.
- Retirement: Competitive retirement package to secure your future.
Responsibilities
Data Scientists at Mayo Clinic perform detailed analysis of large bodies of heterogeneous data in order to discover new patterns and insights having an impact upon patient health and augmenting human capabilities. Candidate has deep expertise in AI, machine learning, deep learning, statistical data processing, regression techniques, neural networks, decision trees, clustering, pattern recognition, probability theory and data science methods and the mathematical theories underlying these tools used to analyze data. Has deep knowledge of healthcare data types, topics, and scientific challenges and approaches.
Work with knowledge architects, informaticians and clinicians at Mayo, and partner outside companies to develop and deploy applications to bring AI and analytic solutions to nontechnical users, often at the point of care. Designs and develops scripts or software applications to support data management, data extraction, data analysis, and AI as required. This position may develop predictive and prescriptive models to address complex problems, discover insights, and identify opportunities using machine learning, statistical techniques, and data mining. Provides Consultative Services at an enterprise level to departments/divisions and/or may lead scientific projects. May have direct and indirect reports.
Other responsibilities:
- Provides deep data insights for complex business problems that can be approached with analytics techniques to collect, explore, and extract insights from structured and unstructured data.
- Develops predictive and prescriptive models to address complex problems, discover insights, and identify opportunities using machine learning, statistical techniques, and data mining.
- Makes presentations on assigned projects or proposals.
- Conducts advanced data analysis and designs highly complex algorithm systems.
- Functions independently and initiates judgment in handling delegated responsibilities.
- Experience leading technical/quantitative teams.
- Develops experimental design approaches to validate findings or test hypotheses.
- Identifies/creates the appropriate algorithm to discover patterns.
- Leads and directs the interpretation of data analysis and writing reports.
Qualifications
A Master's degree in a relevant field such as engineering, mathematics, computer science, health science, or other analytical/quantitative and a minimum of five years of professional or research experience in data science.
The preferred candidate will possess a PhD in a relevant field such as engineering, mathematics, computer science, health science, or other analytical/quantitative field and a minimum of three years of professional or research experience in data science and statistical/machine learning packages.
The successful candidate will need to have both technical and business background/experience along with strong leadership skills. Good written and oral communication skills are required. Deep expertise in the use of scientific computing and data management packages. Ability to prioritize, organize, and delegate various tasks on projects. Demonstrated initiative in administration, education (seminars, training), software development, and technical reports. Demonstrated success in project management and communication skills. Demonstrated ability to develop predictive and prescriptive models on large-scale datasets to address various business problems through leveraging advanced statistical modeling, machine learning, or data mining techniques. Demonstrated ability to provide consultative services at an institutional or enterprise level to departments/divisions and committees from any Mayo entity requesting assistance is preferred. Demonstrated application of several problem-solving methodologies, planning techniques, continuous improvement methods, project management methods, and analytical tools and methodologies (e.g. machine learning, statistical packages, modeling, etc.) required. Incumbent must have ability to independently manage a varied workload of projects with multiple priorities and stay current on healthcare trends and enterprise changes. Excellent interpersonal skills to include presentation, negotiation, persuasion, and written communications skills are required. Exceptional time management is required. In addition, requires excellent analytical skills, consulting skills, ability to identify and recommend solutions, advanced computer application skills and a commitment to customer service. Experience with data modeling and data exploration tools.
Exemption Status
Exempt
Compensation Detail
$148,137.60 - $214,760.00 / year
Benefits Eligible
Yes
Schedule
Full Time
Hours/Pay Period
80
Schedule Details
Monday - Friday, 8am - 5pm
International Assignment
No
Site Description
Just as our reputation has spread beyond our Minnesota roots, so have our locations. Today, our employees are located at our three major campuses in Phoenix/Scottsdale, Arizona, Jacksonville, Florida, Rochester, Minnesota, and at Mayo Clinic Health System campuses throughout Midwestern communities, and at our international locations. Each Mayo Clinic location is a special place where our employees thrive in both their work and personal lives. Learn more about what each unique Mayo Clinic campus has to offer, and where your best fit is.
Equal Opportunity
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, protected veteran status or disability status. Learn more about the "EOE is the Law". Mayo Clinic participates in E-Verify and may provide the Social Security Administration and, if necessary, the Department of Homeland Security with information from each new employee's Form I-9 to confirm work authorization.
Recruiter
Ted Keefe
See all 17,430+ Data Science Analyst jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Science Analyst roles.
Get Access To All JobsTips for Finding H-1B Visa Sponsorship as a Data Science Analyst
Map your degree to the LCA
Your degree field must directly tie to the Data Science Analyst role your employer describes. A mismatch between your transcript and the job duties is a common RFE trigger, so document the connection before your employer files.
Check prevailing wage before accepting offers
Use the OFLC Wage Search to look up the Level I through Level IV wage for your SOC code and work location. Your offered salary must meet the certified LCA wage or USCIS will deny the petition.
Target E-Verify enrolled employers early
STEM OPT employers must be E-Verify enrolled, and that same enrollment signals an established sponsorship infrastructure. Filter your search to E-Verify participants so you're not starting from scratch with an employer who has never filed.
Search H-1B filing history on Migrate Mate
Pull DOL Labor Condition Application data by employer and occupation code on Migrate Mate to see which companies have actually filed for Data Science Analyst roles, not just which ones say they sponsor.
Time your lottery registration around OPT cap-gap
If you're on OPT when the lottery closes in March, your cap-gap extends work authorization through September 30 if you're selected. Confirm your OPT end date against that window before deciding whether to request premium processing.
Request a specialty occupation support letter
Ask your employer to prepare a detailed support letter explaining why the Data Science Analyst role requires a degree in a specific field, not just any bachelor's. USCIS scrutinizes analyst titles more than engineering titles, so specificity in that letter reduces RFE risk.
Data Science Analyst jobs are hiring across the US. Find yours.
Find Data Science Analyst JobsData Science Analyst H-1B Visa: Frequently Asked Questions
Does a Data Science Analyst role qualify as an H-1B specialty occupation?
Yes, provided the employer can demonstrate the position requires at least a bachelor's degree in a specific field such as statistics, mathematics, computer science, or data science. USCIS evaluates the actual job duties, not just the title. Roles that accept any bachelor's degree regardless of field are the ones most likely to receive an RFE or denial on specialty occupation grounds.
How do I find employers who have sponsored H-1B visas for Data Science Analyst roles specifically?
Search Migrate Mate using the Data Science Analyst occupation code to see employer LCA filing history filtered to that role. This shows you which companies have gone through the DOL certification process for this specific job title, not just which employers sponsor H-1B visas in general. That distinction matters because sponsorship willingness varies significantly by role within the same company.
What happens to my H-1B if my employer changes my job duties significantly after filing?
A material change in job duties, location, or employer can require an amended I-129 petition. If the new duties shift you outside the specialty occupation description certified in the original LCA, your employer must file a new LCA and an amended petition before the change takes effect. Working under materially changed conditions without an amended filing creates status risk.
Can I work for multiple employers as a Data Science Analyst on H-1B?
Yes, through concurrent H-1B employment. Each employer must file a separate I-129 petition and a separate LCA certified at the prevailing wage for that work location. You cannot begin work for the second employer until USCIS approves their petition. Consulting arrangements where you're placed at client sites may require additional scrutiny of the employer-employee relationship.
How does the H-1B prevailing wage requirement work for Data Science Analyst positions?
Your employer must certify through DOL that your offered wage meets or exceeds the prevailing wage for the Data Science Analyst occupation in your work location. Prevailing wage is determined by the SOC code, geographic area, and wage level, which corresponds roughly to your experience and responsibilities. You can verify the applicable wage tier using the OFLC Wage Search before evaluating any offer.
See which Data Science Analyst employers are hiring and sponsoring visas right now.
Search Data Science Analyst Jobs