OPT Research Data Scientist Jobs
Research Data Scientist roles qualify for OPT work authorization when your degree is in statistics, computer science, applied mathematics, or a related STEM field. Most positions also qualify for the 24-month STEM OPT extension, giving you up to three years of authorized work experience while you pursue long-term sponsorship.
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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 338+ OPT Research Data Scientist Jobs
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Get Access To All JobsTips for Finding OPT Sponsorship as a Research Data Scientist
Target STEM OPT-eligible employers first
Focus your search on companies enrolled in E-Verify, which is required for the 24-month STEM OPT extension. Research-heavy employers in tech, pharma, and finance are more likely to be enrolled and familiar with the extension process.
Align your degree field with the job description
STEM OPT eligibility depends on your role being directly related to your degree. Request a job description that explicitly references statistical modeling, machine learning, or data analysis to strengthen your I-983 training plan approval.
Start your STEM extension application 90 days early
USCIS recommends filing the STEM OPT extension up to 90 days before your initial OPT expires. Filing late risks a gap in work authorization, which most research employers cannot accommodate without pausing your employment.
Prepare a training plan that maps to actual research work
The I-983 requires your employer to outline specific learning objectives. Work with your hiring manager to document concrete goals around model development, experimental design, or data pipeline work before your DSO submits the form.
Prioritize employers with existing H-1B sponsorship track records
Research labs and data science teams at large technology and life sciences companies have established immigration processes. Employers who have sponsored H-1B visas before are significantly more likely to continue sponsoring after your OPT period ends.
Document your research contributions throughout OPT
Publications, conference presentations, and documented project outcomes strengthen future H-1B and O-1A petitions. Keeping a running record of your research impact from day one of OPT makes building your immigration case substantially easier later.
Research Data Scientist OPT: Frequently Asked Questions
Does a Research Data Scientist role qualify for the STEM OPT extension?
Yes, in most cases. Research Data Scientist positions typically fall under CIP codes in computer science, statistics, or applied mathematics, all of which are on the STEM Designated Degree Program List. Your role must be directly related to your degree field, and your employer must be enrolled in E-Verify. Confirm your specific CIP code with your DSO before applying.
How do I find Research Data Scientist jobs where the employer is open to OPT sponsorship?
Migrate Mate filters Research Data Scientist listings by OPT and visa sponsorship eligibility, so you're not wasting applications on employers who won't hire international students. Large research-focused employers in technology, healthcare, and financial services are the most common sponsors. Searching by industry on Migrate Mate narrows your list to roles where your work authorization is already expected.
Can I work as a Research Data Scientist at a university or nonprofit research lab on OPT?
Yes. Universities, federally funded research centers, and nonprofit laboratories regularly hire OPT students for research data science roles. These positions often align closely with your academic degree, which simplifies the I-983 training plan. However, confirm that the institution is enrolled in E-Verify before accepting an offer if you plan to apply for the STEM OPT extension.
What happens to my OPT if my research contract ends before my authorization period expires?
You enter a 60-day grace period when your employment ends. During that window you can search for a new Research Data Scientist position, change employers, or take steps to change your immigration status. You cannot work during the grace period. Filing a STEM OPT extension before your initial OPT expires resets this clock, so timing your job search matters significantly.
Does presenting research at conferences or publishing papers count as unauthorized employment on OPT?
Unpaid academic activities like presenting at conferences, co-authoring papers, or peer reviewing are generally not considered employment under OPT regulations and do not require separate authorization. However, if you receive honoraria or other compensation, consult your DSO before accepting payment. Keeping these activities clearly separate from your primary OPT employment avoids complications with your work authorization status.