H-1B Visa Research Data Scientist Jobs
Research Data Scientist roles qualify as H-1B visa specialty occupations under the theoretical and practical application standard, requiring at least a bachelor's degree in statistics, computer science, or a closely related field. Most research-focused employers file petitions in the annual cap, so timing your offer around the April lottery window matters.
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Get Access To All JobsINTRODUCTION
Our mission is to accelerate Google’s velocity by empowering developers with AI-ready knowledge, trusted content, and scaled and targeted enablement programs. We are looking for a Data Scientist (DS) who can work in a rapidly evolving tech landscape with novel methodologies, to generate actionable insights for product teams and leaders.
In this role, you will engage deeply with Google DeepMind and the core of Google’s AI capabilities. You will shape the investigative directions and strategies for Gemini, revealing actionable insights into how it integrates with Google’s complex software engineering ecosystem. Additionally, you will drive an understanding of how various agentic capabilities affect software and model development workflows, leveraging these insights to optimize complex systems at a Google scale.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $262000 - $365000 (USD) + 25% bonus target + bonus + equity + benefits
BASIC QUALIFICATIONS
- Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
- 10 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 8 years of work experience with a PhD degree.
PREFERRED QUALIFICATIONS
- 12 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 10 years of work experience with a PhD degree.
Responsibilities
- Collaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions to answer. Provide feedback to translate and refine business questions into tractable analysis, evaluation metrics, or mathematical models.
- Use custom data infrastructure or existing data models as appropriate, using specialized knowledge. Design and evaluate models to mathematically express and solve defined problems with limited precedent.
- Gather information, business goals, priorities, and organizational context around the questions to answer, as well as the existing and upcoming data infrastructure.
- Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python). Format, re-structure, or validate data to ensure quality, and review the dataset to ensure it is ready for analysis.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
INTRODUCTION
Our mission is to accelerate Google’s velocity by empowering developers with AI-ready knowledge, trusted content, and scaled and targeted enablement programs. We are looking for a Data Scientist (DS) who can work in a rapidly evolving tech landscape with novel methodologies, to generate actionable insights for product teams and leaders.
In this role, you will engage deeply with Google DeepMind and the core of Google’s AI capabilities. You will shape the investigative directions and strategies for Gemini, revealing actionable insights into how it integrates with Google’s complex software engineering ecosystem. Additionally, you will drive an understanding of how various agentic capabilities affect software and model development workflows, leveraging these insights to optimize complex systems at a Google scale.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $262000 - $365000 (USD) + 25% bonus target + bonus + equity + benefits
BASIC QUALIFICATIONS
- Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
- 10 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 8 years of work experience with a PhD degree.
PREFERRED QUALIFICATIONS
- 12 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 10 years of work experience with a PhD degree.
Responsibilities
- Collaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions to answer. Provide feedback to translate and refine business questions into tractable analysis, evaluation metrics, or mathematical models.
- Use custom data infrastructure or existing data models as appropriate, using specialized knowledge. Design and evaluate models to mathematically express and solve defined problems with limited precedent.
- Gather information, business goals, priorities, and organizational context around the questions to answer, as well as the existing and upcoming data infrastructure.
- Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python). Format, re-structure, or validate data to ensure quality, and review the dataset to ensure it is ready for analysis.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
See all 615+ H-1B Visa Research Data Scientist Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new H-1B Visa Research Data Scientist Jobs.
Get Access To All JobsTips for Finding H-1B Visa Sponsorship as a Research Data Scientist
Verify your degree maps directly
USCIS scrutinizes Research Data Scientist petitions when the degree field doesn't align with the role's core methods. Pull the O*NET profile for your SOC code and confirm your transcript covers statistics, machine learning, or quantitative research explicitly.
Target employers with R&D classifications
Universities, national labs, and federally funded research centers can file cap-exempt H-1B petitions year-round. If you're open to these settings, you bypass the lottery entirely and can start work immediately after USCIS approval.
Search verified H-1B sponsors on Migrate Mate
Filter by research data scientist roles on Migrate Mate to see which employers have active LCA filing history with DOL. This tells you which companies have actually sponsored the role before, not just listed it.
Check prevailing wage before negotiating
Your employer must certify your salary meets the DOL prevailing wage for your job zone and location. Run your title and metro area through the OFLC Wage Search before you enter salary discussions so you know the floor.
Confirm LCA job duties match your offer letter
DOL auditors compare the Labor Condition Application against your actual work assignment. Make sure your offer letter's described responsibilities align with what's filed, especially if your role spans multiple research domains or involves client-facing work.
Plan around the 60-day grace period strategically
If your current H-1B employer downsizes a research unit, you have 60 days to secure a new sponsor and file a transfer. Prioritize employers who can submit a concurrent petition quickly rather than waiting until the final weeks.
H-1B Visa Research Data Scientist: Frequently Asked Questions
Does a Research Data Scientist role qualify as an H-1B specialty occupation?
Yes. USCIS consistently classifies Research Data Scientist positions as specialty occupations because the work requires theoretical and applied knowledge in a specific field such as statistics, computer science, or applied mathematics. Your employer's petition needs to document that a bachelor's degree or higher in a directly related field is a standard industry requirement for the role, not just preferred.
Which employers sponsor H-1B visas for Research Data Scientist positions?
Technology companies, pharmaceutical firms, financial institutions, and research universities are the most consistent sponsors for this role. Cap-exempt sponsors like universities and nonprofit research organizations can file outside the lottery window. Migrate Mate surfaces employers by verified LCA filing history for research data scientist roles, so you can focus on companies that have actually sponsored the position before.
How does the H-1B lottery affect Research Data Scientist job seekers?
Most private-sector employers are cap-subject, meaning your petition enters the annual lottery capped at 85,000 slots. USCIS accepts registrations in March for an October 1 start date. If you hold a U.S. master's degree or higher, your registration gets two chances at selection. Employers at qualifying universities or nonprofit research institutions can file cap-exempt petitions at any time, bypassing the lottery entirely.
Can I switch employers mid-H-1B if my research team is restructured?
Yes. H-1B portability under AC21 allows you to transfer your status to a new sponsoring employer once you've been in valid H-1B status for at least six months and the new employer files a transfer petition before your current status expires. You can start work with the new employer as soon as the transfer petition is filed, not when it's approved. The 60-day grace period after termination applies if you need time to find that next sponsor.
What documentation strengthens an H-1B petition for a Research Data Scientist?
Your employer's petition is stronger when it includes a detailed job description tying each core duty to a specific degree field, your academic transcripts or credential evaluation confirming degree equivalency, and evidence that similar roles in the industry require the same educational background. If your job involves proprietary research methodologies, a letter from a senior researcher or technical lead explaining the complexity of the work helps establish the specialty occupation standard with USCIS.