Data Science Specialist Jobs in USA with Visa Sponsorship
Data Science Specialist roles rank among the most actively sponsored positions in the U.S., with H-1B visa, O-1 visa, and EB-2 NIW pathways all viable depending on your credentials. Employers across tech, finance, and healthcare regularly file LCAs for these roles, making verified sponsorship history a practical filter when targeting your job search.
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Description
DSHS FTAA – Data Science & Informatics Specialist 1
Join our team as a research-focused statistical programmer and use your data analyst skills to support studies that improve social and health services for more than 2.6 million DSHS clients. The Research and Data Analysis (RDA) Division within the Finance, Technology, and Analytics Administration (FTAA) uses linked administrative data to evaluate programs, examine service use and outcomes, and inform policy and operational decisions.
In this role, you’ll use SAS and SQL to extract, link, clean, validate, and analyze large person-level administrative datasets, as well as primary data collected using REDCap. Working alongside researchers, program experts, and partner agencies, you’ll create reproducible analytic files, statistical tabulations, measures, and reports that support applied research and program evaluation.
Some of what you'll do:
- Write, test, document, and maintain SAS programs and SQL queries for research, evaluation, and program performance projects.
- Extract, link, clean, transform, and manage large person-level administrative datasets from multiple state systems, including service, eligibility, claims, encounter, cost, and outcome data, with an emphasis on substance use and mental health conditions and health-related social needs.
- Develop reproducible analytic datasets, cohorts, variables, measures, and data documentation using sound research data-management practices.
- Conduct descriptive and inferential statistical analyses, data tabulations, quality assurance, and validation to support applied research and program evaluation.
- Assess data completeness, consistency, and fitness for use; investigate anomalies and resolve data-quality issues with source-system and program experts.
- Translate research questions and study specifications into clear analytic approaches, programming logic, and accurate results.
- Prepare tables, reports, visualizations, technical documentation, and presentations that communicate methods, limitations, and findings to technical and non-technical audiences.
Apply confidentiality, privacy, security, and data-sharing requirements when working with sensitive administrative data, including HIPAA and FERPA requirements.
Desired skills, knowledge, and abilities:
- Proficiency as a statistical programming for data extraction, manipulation, linkage, validation, analysis, and reporting; experience with SAS and knowledge of DATA steps, procedures, macros, and reusable code is highly valued.
- Experience using SQL to query and combine data from relational databases.
- Experience working with large, complex administrative records, such as eligibility, enrollment, claims, encounters, services, costs, transactions, or program outcomes. Experience using Medicaid or behavioral health related claims data is ideal.
- Knowledge of applied research and program evaluation methods, including cohort construction, measure development, descriptive statistics, statistical testing, and interpretation of results.
- Strong data-quality and documentation practices, including code review, validation, version control concepts, metadata, data dictionaries, and reproducible workflows.
- Familiarity with primary data collection tools, such as REDCap, and applied knowledge with managing user access and privileges and providing support and technical assistance to end-users.
- Ability to understand how research questions translate into analytic specifications and be able to explain methods, assumptions, limitations, and findings from analytic datasets with other research staff clearly.
- Experience with R, Python, Excel, Power BI, Tableau, or similar tools is helpful but does not replace the need for strong SAS programming skills.
Ability to collaborate effectively with researchers, program staff, database professionals, and external partners while protecting confidential data.
Who should apply?
We encourage applications from statistical programmers, data analysts, research analysts, and other professionals who have:
- A bachelor’s degree in statistics, biostatistics, epidemiology, economics, public policy, sociology, public health, data science, mathematics, computer science, informatics, or another quantitative or research-focused field and one (1) year of experience performing data analysis, statistical programming, or applied research.
OR
An equivalent combination of education and relevant experience totaling five (5) years.
Additional required experience:
In addition to the qualifications above, applicants must have at least one (1) year of experience in each of the following areas:
- Using SAS to manage, transform, validate, and analyze data.
- Working with large administrative datasets, such as social or health service records, eligibility or enrollment files, medical claims or encounters, transactions, costs, or other person-level program data.
- Supporting research, program evaluation, policy analysis, or performance measurement by preparing analytic datasets, statistical tabulations, measures, or reports.
- Documenting code, data sources, variable definitions, analytic decisions, and quality-assurance results so work can be reviewed and reproduced.
- Using REDCap, or other primary data collection tools, for data administration and survey design, as well as user management and providing technical assistance.
- Creating dashboards using Excel, Power BI, Tableau, or similar data visualization tools.
Using SQL or another query language to retrieve and join data is preferred.
Ready to start a rewarding career? Apply today!
Along with your application, please include:
- An updated resume
- A letter of interest
- Three professional references with contact information
Questions?
Please reach out to DSHS Recruiter Ricky Luna at ricky.luna@dshs.wa.gov and reference job number #07396.
The Department of Social and Health Services’ (DSHS) vision that people find human services to shape their own lives requires that we come together with a sense of belonging, common purpose, shared values, and meaningful work. It is crucial to our agency’s vision that you bring a fairness, access, and social justice commitment to your work with DSHS. We strive to support all Washingtonians, including Black, Indigenous, and People of Color, people with physical, behavioral health, and intellectual disabilities, elders, LGBTQIA+ individuals, immigrants and refugees, and families building financial security.
Supplemental Information
Prior to a new hire, a background check including criminal record history may be conducted. Information from the background check will not necessarily preclude employment but will be considered in determining the applicant’s suitability and competence to perform in the job. This announcement may be used to fill multiple vacancies. Employees driving on state business must have a valid driver's license. Employees driving a privately owned vehicle on state business must have liability insurance on the privately owned vehicle.
Washington State Department of Social and Health Services is an equal opportunity employer and does not discriminate in any area of employment, its programs or services on the basis of age, sex, sexual orientation, gender, gender identity/expression, marital status, race, creed, color, national origin, religion or beliefs, political affiliation, military status, honorably discharged veteran, Vietnam Era, recently separated or other protected veteran status, the presence of any sensory, mental, physical disability or the use of a trained dog guide or service animal by a person with a disability, equal pay or genetic information. Persons requiring accommodation in the application process or this job announcement in an alternative format may contact the Recruiter at (360) 725-5810. Applicants who are deaf or hard of hearing may call through Washington Relay Service by dialing 7-1-1 or 1-800-833-6384.
Relationship and Reporting Structure (Nepotism) Disclosure: If you are selected for hire, you must disclose whether you have a relative, household member, close friend, or romantic partner within your potential supervisory chain of command. DSHS has a Relationships and the Reporting Structure policy that prohibits nepotism and can be reviewed here. Applicants whose appointment would result in a prohibited reporting relationship are not eligible for appointment to that position.
E-Verify® is a registered trademark of the U.S. Department of Homeland Security.
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Get Access To All JobsTips for Finding Visa Sponsorship as a Data Science Specialist
Frame your degree for specialty occupation
USCIS requires a direct connection between your degree field and the Data Science Specialist role. A statistics, computer science, or applied mathematics degree maps cleanly. If your degree is in a adjacent field, document how your coursework directly supports the position's core duties.
Pull prevailing wage data before negotiating
Your employer's LCA must certify a wage at or above the DOL prevailing wage for your location and role level. Use the OFLC Wage Search to find the Level I through Level IV wage tiers for your metro area before you receive an offer.
Target employers with PERM labor certification history
Data science roles frequently appear on PERM applications, which signals an employer's willingness to sponsor green cards, not just temporary work visas. Prioritize companies with active PERM filings for data and analytics roles when building your target list.
Search verified sponsors on Migrate Mate
Use Migrate Mate to browse Data Science Specialist roles at employers with confirmed LCA filing history. This filters out postings from companies that have never sponsored, saving you from applying to roles where sponsorship is listed as possible but never actually filed.
Build an O*NET-aligned skills inventory
Consult O*NET for the official task and skills profile of the Data Science Specialist occupation. Aligning your resume language to those descriptors strengthens the specialty occupation argument your employer will need to make on the LCA and any subsequent USCIS petition.
Clarify cap-exempt status before accepting an offer
If you're transitioning from F-1 OPT and the H-1B lottery falls against you, confirm whether your prospective employer qualifies as a cap-exempt institution. Universities, nonprofits affiliated with higher education, and certain research organizations can file H-1B petitions outside the annual cap.
Frequently Asked Questions
Does a Data Science Specialist role qualify as a specialty occupation for H-1B purposes?
Yes, in most cases. USCIS treats data science as a specialty occupation when the role requires at least a bachelor's degree in a directly related field such as computer science, statistics, mathematics, or data science itself. Roles that accept any degree, regardless of field, are more likely to face an RFE. Your employer's job description needs to specify the degree requirement clearly.
Which visa types do employers typically use to sponsor Data Science Specialists?
H-1B is the most common pathway. Australian nationals can use the E-3 visa, which has no lottery and a 10,500 annual cap that has never been exhausted. Chilean and Singaporean nationals may qualify for the H-1B1 visa. Candidates with demonstrated expertise may also pursue the O-1A for extraordinary ability, or self-petition under the EB-2 National Interest Waiver without employer sponsorship.
How do I find employers who actively sponsor Data Science Specialist roles?
Migrate Mate lists U.S. employers with verified LCA sponsorship history for data science roles, searchable by city and job type. This shows you which companies have actually filed, not just which ones say they're open to sponsorship in a job posting.
Does a three-year bachelor's degree from Australia or India satisfy USCIS degree requirements for this role?
USCIS evaluates foreign degrees through credential evaluation services. A three-year bachelor's degree is often accepted as equivalent to a U.S. four-year degree for specialty occupation purposes, particularly when combined with relevant work experience. A credential evaluation from an NACES-member organization strengthens the petition. Your employer's immigration attorney will typically order this evaluation during the H-1B filing process.
Can a Data Science Specialist self-petition for a green card without employer sponsorship?
Yes, through the EB-2 National Interest Waiver. USCIS allows qualified professionals to self-petition if their work has substantial merit and national importance and they are well-positioned to advance it. Data scientists working in public health modeling, climate research, or critical infrastructure analytics have successfully used this pathway. It bypasses the PERM labor certification requirement entirely.
What is the prevailing wage requirement for sponsored Data Science Specialist jobs?
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.