Research Data Scientist Jobs in USA with Visa Sponsorship
Research Data Scientists are strong H-1B visa candidates, the role requires a master's or PhD in statistics, computer science, or a related field, which satisfies the specialty occupation standard. Many research roles qualify for O-1 and EB-1 green card pathways if you have publications or peer recognition. For detailed occupation requirements, see the O*NET profile.
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Get Access To All JobsAbout the job
Chrome’s mission is to make the web work better for you. We do this by evolving Chrome, which serves the world and Google as both a product (4 billion plus clients) and a platform (that is: Chromium and related components that advance the open web and open media technologies).
As a platform, Chrome envisions a fast, safe, capable platform and thriving web for generations of users and developers. As a product, Chrome imagines a more helpful, adaptive agent that helps people with their multifaceted needs. Chrome's goal is to redefine browsing by delivering unparalleled safety, speed, efficiency, and ease of use, and integrating with Generative Artificial Intelligence (GenAI) and Google's web products, to understand user needs and provide personalized experiences.
In this role, your work will have tremendous impact throughout Chrome, as you will have an opportunity to work with the many teams that use our systems to gate features and understand users. You will blend research and product expertise to manage issues.
You will leverage a mix of theoretical and practical knowledge in advanced statistical and machine learning (ML) techniques, predictive modeling, human evaluation, experimentation, forecasting, exploratory analysis, and more to drive data-informed innovation, unlock opportunities, and enhance user experiences within Chrome. The US base salary range for this full-time position is $147,000-$211,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Responsibilities
- Leverage advanced statistical methods on massive datasets to extract insights from billions of events and thousands of features across organizational sources.
- Analyze intricate product and platform usage patterns, translating data-driven insights into actionable product strategy and engineering decisions.
- 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.
- Navigate technical or methodological conversations and narrative-telling presentations. Make clear, concise product and engineering recommendations to drive major impact. Use coding and methodology.
- Demonstrate an interest and aptitude in data, metrics, analysis, and trends, and applied knowledge of measurement, statistics, and program evaluation.
Minimum qualifications:
- Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
- 3 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree.
Preferred qualifications:
- 5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree.
In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:
- Health, dental, vision, life, disability insurance
- Retirement Benefits: 401(k) with company match
- Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
- Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
- Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
- Baby Bonding Leave: 18 weeks
- Holidays: 13 paid days per year
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.
About the job
Chrome’s mission is to make the web work better for you. We do this by evolving Chrome, which serves the world and Google as both a product (4 billion plus clients) and a platform (that is: Chromium and related components that advance the open web and open media technologies).
As a platform, Chrome envisions a fast, safe, capable platform and thriving web for generations of users and developers. As a product, Chrome imagines a more helpful, adaptive agent that helps people with their multifaceted needs. Chrome's goal is to redefine browsing by delivering unparalleled safety, speed, efficiency, and ease of use, and integrating with Generative Artificial Intelligence (GenAI) and Google's web products, to understand user needs and provide personalized experiences.
In this role, your work will have tremendous impact throughout Chrome, as you will have an opportunity to work with the many teams that use our systems to gate features and understand users. You will blend research and product expertise to manage issues.
You will leverage a mix of theoretical and practical knowledge in advanced statistical and machine learning (ML) techniques, predictive modeling, human evaluation, experimentation, forecasting, exploratory analysis, and more to drive data-informed innovation, unlock opportunities, and enhance user experiences within Chrome. The US base salary range for this full-time position is $147,000-$211,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Responsibilities
- Leverage advanced statistical methods on massive datasets to extract insights from billions of events and thousands of features across organizational sources.
- Analyze intricate product and platform usage patterns, translating data-driven insights into actionable product strategy and engineering decisions.
- 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.
- Navigate technical or methodological conversations and narrative-telling presentations. Make clear, concise product and engineering recommendations to drive major impact. Use coding and methodology.
- Demonstrate an interest and aptitude in data, metrics, analysis, and trends, and applied knowledge of measurement, statistics, and program evaluation.
Minimum qualifications:
- Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
- 3 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree.
Preferred qualifications:
- 5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree.
In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:
- Health, dental, vision, life, disability insurance
- Retirement Benefits: 401(k) with company match
- Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
- Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
- Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
- Baby Bonding Leave: 18 weeks
- Holidays: 13 paid days per year
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 623+ Research Data Scientist jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Research Data Scientist roles.
Get Access To All JobsTips for Finding Visa Sponsorship as a Research Data Scientist
Target employers with dedicated research divisions
Tech companies, pharmaceutical firms, national labs, and universities run dedicated research functions with established H-1B sponsorship pipelines. These employers file petitions routinely and have immigration counsel in place, making the process faster and less uncertain for you.
Lead with publications and citations in your application
Research Data Scientist roles demand evidence of original contribution. A strong publication record signals you're a researcher, not just an analyst, which strengthens both the employer's sponsorship case and your long-term O-1 or EB-1 eligibility from day one.
Understand how your degree field affects H-1B eligibility
USCIS requires your degree to align with the specific research domain. A statistics degree supports a biomedical research role less cleanly than a biostatistics degree. Misalignment is a common RFE trigger, so address it directly in your cover letter and resume.
Ask about cap-exempt employer options
Universities, affiliated research institutions, and nonprofit research organizations are exempt from the H-1B lottery. If you didn't get selected in the annual cap, these employers let you start immediately without waiting for the next registration cycle.
Build a record that supports an EB-1A or NIW petition
Research Data Scientists are well-positioned for employment-based green cards. Peer-reviewed publications, conference presentations, grant awards, and peer review work all count as evidence. Start documenting these early, even before you have a sponsoring employer.
Browse Migrate Mate to find employers actively sponsoring this role
Not every company that posts a Research Data Scientist role will sponsor a visa. Migrate Mate filters jobs by sponsorship willingness, so you spend time applying to employers who have already committed to supporting international candidates in this specific field.
Frequently Asked Questions
Does a Research Data Scientist role qualify for H-1B sponsorship?
Yes. Research Data Scientist is a strong specialty occupation candidate because it requires at minimum a bachelor's degree, and typically a master's or PhD, in a specific field such as statistics, computer science, or applied mathematics. USCIS approves the majority of petitions for research-oriented data science roles at top employers, though RFEs are common when the degree field doesn't closely match the research domain.
Do I need a PhD to get sponsored as a Research Data Scientist?
Not always, but a PhD significantly improves your prospects. Many employers require a PhD for roles involving original research, model development, or publication output. A master's degree may be sufficient at companies where the role is more applied than academic. If you hold a bachelor's degree, substantial published research or equivalent work experience can compensate, but expect closer scrutiny from USCIS during the petition review.
Can a Research Data Scientist qualify for an O-1 visa instead of H-1B?
Yes, and it's often a better path if you didn't win the H-1B lottery. The O-1A visa covers individuals with extraordinary ability in sciences, and research data scientists with peer-reviewed publications, conference presentations, citations, grants, or peer review experience can meet the criteria. O-1 has no annual cap and no lottery, so qualified candidates can start work much faster than waiting for H-1B selection.
What green card pathway makes the most sense for Research Data Scientists?
The two strongest options are EB-1A (extraordinary ability) and EB-2 NIW (national interest waiver). EB-1A suits candidates with significant publication records, awards, or peer recognition. NIW is more accessible and fits researchers whose work has broader societal impact, such as public health, climate, or AI safety research. Both allow self-petition, meaning you don't need an employer to sponsor you, which is a major practical advantage.
Where should I look for Research Data Scientist jobs that offer visa sponsorship?
Migrate Mate is built specifically for international candidates and filters Research Data Scientist roles by employers willing to sponsor visas. This removes the guesswork of applying to postings where sponsorship is unlikely. Research-heavy employers including major tech companies, biotech firms, and university-affiliated research labs appear frequently and are among the most experienced H-1B petitioners for this role.
What is the prevailing wage requirement for sponsored Research Data Scientist 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.
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