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.
See All Research Data Scientist JobsOverview
Showing 5 of 659+ Research Data Scientist 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 659+ 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 JobsINTRODUCTION
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; New York, NY, USA.
MINIMUM QUALIFICATIONS:
- Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field, or equivalent practical experience.
- 3 years of 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 experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases, or statistical analysis, or a PhD degree.
- Experience with optimization techniques.
- Experience with high-dimensional statistics.
ABOUT THE JOB
As a Data Scientist working on Ads Insights and Measurement, you will develop, evaluate and improve the entire range of Google's advertising products including Search, Display, Apps, TV and Video (YouTube). You will collaborate with a multi-disciplinary team of engineers, analysts and product managers to develop new science and to translate it into deployed products at scale. You will also play a key role in developing new ideas and methods that drive ad measurement and business generation, including paradigm-shifting ad-measurement science and products for the privacy-preserving future of digital advertising and will be a key part of building and driving impact on ad-systems both at Google and in the advertising technology and marketing technology industry as a whole, globally.
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
- Design and evaluate custom data infrastructure or existing data models using specialized knowledge to mathematically express and solve defined problems with limited precedent.
- Shape and support new data-driven and privacy-preserving advertising and marketing products in collaboration with engineering, product, and customer-facing teams.
- Define relevant questions about advertising effectiveness, incrementality assessment, the impact of privacy, user behavior, brand building, aiming, and bidding.
- Develop and implement quantitative methods to answer those questions through team collaboration.
- Solve difficult, non-routine analysis problems with data sets, applying problem-solving methods as needed and conducting analyses that include data gathering and requirements specification, exploratory data analysis, model development, and written and verbal delivery of results to business partners and executives.
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
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; New York, NY, USA.
MINIMUM QUALIFICATIONS:
- Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field, or equivalent practical experience.
- 3 years of 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 experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases, or statistical analysis, or a PhD degree.
- Experience with optimization techniques.
- Experience with high-dimensional statistics.
ABOUT THE JOB
As a Data Scientist working on Ads Insights and Measurement, you will develop, evaluate and improve the entire range of Google's advertising products including Search, Display, Apps, TV and Video (YouTube). You will collaborate with a multi-disciplinary team of engineers, analysts and product managers to develop new science and to translate it into deployed products at scale. You will also play a key role in developing new ideas and methods that drive ad measurement and business generation, including paradigm-shifting ad-measurement science and products for the privacy-preserving future of digital advertising and will be a key part of building and driving impact on ad-systems both at Google and in the advertising technology and marketing technology industry as a whole, globally.
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
- Design and evaluate custom data infrastructure or existing data models using specialized knowledge to mathematically express and solve defined problems with limited precedent.
- Shape and support new data-driven and privacy-preserving advertising and marketing products in collaboration with engineering, product, and customer-facing teams.
- Define relevant questions about advertising effectiveness, incrementality assessment, the impact of privacy, user behavior, brand building, aiming, and bidding.
- Develop and implement quantitative methods to answer those questions through team collaboration.
- Solve difficult, non-routine analysis problems with data sets, applying problem-solving methods as needed and conducting analyses that include data gathering and requirements specification, exploratory data analysis, model development, and written and verbal delivery of results to business partners and executives.
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 659+ 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.
Research Data Scientist jobs are hiring across the US. Find yours.
Find Research Data Scientist JobsFrequently 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.
See which Research Data Scientist employers are hiring and sponsoring visas right now.
Search Research Data Scientist Jobs