TN Visa Research Data Scientist Jobs
Research Data Scientist roles qualify for TN visa sponsorship under the USMCA's Scientific Technician/Technologist and Computer Systems Analyst categories, depending on how the position is scoped. Canadian citizens can apply at the port of entry with no cap concerns. Mexican citizens require a consular appointment. A qualifying job offer and relevant degree are your two non-negotiables.
See All Research Data Scientist JobsOverview
Showing 5 of 417+ 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 417+ 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 JobsMinimum qualifications:
- Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field, or equivalent practical experience.
- 5 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases, or statistical analysis, or 3 years of experience with a PhD degree.
- 4 years of experience in data analysis or related fields as a statistician or data scientist.
- Experience with statistical software (e.g., R, Python, MATLAB, pandas) and database languages (e.g., SQL).
- Experience with statistical methodologies.
Preferred qualifications:
- PhD degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
- 8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree.
- Experience in training, validating or optimizing language models or LLM-based classifiers.
- Experience analyzing multi-modal data (image, audio, or video).
- Experience of GenAI safety and red-teaming.
About the job
User Protection is an organization dedicated to protecting Google's users from abuse, account compromise and other harms online. Our team works with the Content Safety (CS) and User Protection Platform and Services (UPS) which develops tools to protect users from abusive content at scale, often leveraging AI technology to do so. Our team provides data science capabilities to these two organizations, and works directly with product and engineering to evaluate, understand, and improve the quality of our protections. Organizationally, we are a part of a large data science team in Core, which provides ample opportunities for knowledge sharing, development, and learning from other data scientists working in adjacent domains.
CS and UPS equip Google products with tools to protect users from abuse and harm. As a Data Scientist working with CS and UPS, you'll be helping to evaluate, understand, and improve our abuse protections - which are generally built with and for AI tools. We work closely with cross-functional product teams on specific content safety classifiers, but also on generic strategies and tooling for understanding content safety classifiers.
Our team is designing safety data evaluations and safety mitigation evaluations, including LLM-as-judge, prompt injection, and Responsible AI testing. We also work with flagship GenAI product teams on understanding Google-wide GenAI safety postures in production traffic. The US base salary range for this full-time position is $174,000-$252,000 + 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
- Solve ambiguous problems in the Generative Artificial Intelligence safety space, including agent-based safety.
- Develop quantitative methodologies to curate training data and evaluation data from synthetic data and real-world production data for improving content safety mitigations. Design and evaluate models to mathematically express and solve defined problems with limited precedent.
- Drive cross-functional alignment on measuring violation rates and unjustified refusals across multiple flagship Generative Artificial Intelligence product surfaces. Identify and clarify business or product questions.
- Provide feedback and refine business questions into tractable analysis, evaluation metrics, or mathematical models. Drive clarity and coherence in understanding safety at scale across Google.
- Own the process of gathering, extracting, and compiling data across sources (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.
Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.
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.
Minimum qualifications:
- Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field, or equivalent practical experience.
- 5 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases, or statistical analysis, or 3 years of experience with a PhD degree.
- 4 years of experience in data analysis or related fields as a statistician or data scientist.
- Experience with statistical software (e.g., R, Python, MATLAB, pandas) and database languages (e.g., SQL).
- Experience with statistical methodologies.
Preferred qualifications:
- PhD degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
- 8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree.
- Experience in training, validating or optimizing language models or LLM-based classifiers.
- Experience analyzing multi-modal data (image, audio, or video).
- Experience of GenAI safety and red-teaming.
About the job
User Protection is an organization dedicated to protecting Google's users from abuse, account compromise and other harms online. Our team works with the Content Safety (CS) and User Protection Platform and Services (UPS) which develops tools to protect users from abusive content at scale, often leveraging AI technology to do so. Our team provides data science capabilities to these two organizations, and works directly with product and engineering to evaluate, understand, and improve the quality of our protections. Organizationally, we are a part of a large data science team in Core, which provides ample opportunities for knowledge sharing, development, and learning from other data scientists working in adjacent domains.
CS and UPS equip Google products with tools to protect users from abuse and harm. As a Data Scientist working with CS and UPS, you'll be helping to evaluate, understand, and improve our abuse protections - which are generally built with and for AI tools. We work closely with cross-functional product teams on specific content safety classifiers, but also on generic strategies and tooling for understanding content safety classifiers.
Our team is designing safety data evaluations and safety mitigation evaluations, including LLM-as-judge, prompt injection, and Responsible AI testing. We also work with flagship GenAI product teams on understanding Google-wide GenAI safety postures in production traffic. The US base salary range for this full-time position is $174,000-$252,000 + 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
- Solve ambiguous problems in the Generative Artificial Intelligence safety space, including agent-based safety.
- Develop quantitative methodologies to curate training data and evaluation data from synthetic data and real-world production data for improving content safety mitigations. Design and evaluate models to mathematically express and solve defined problems with limited precedent.
- Drive cross-functional alignment on measuring violation rates and unjustified refusals across multiple flagship Generative Artificial Intelligence product surfaces. Identify and clarify business or product questions.
- Provide feedback and refine business questions into tractable analysis, evaluation metrics, or mathematical models. Drive clarity and coherence in understanding safety at scale across Google.
- Own the process of gathering, extracting, and compiling data across sources (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.
Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.
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 417+ 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 TN Visa Sponsorship as a Research Data Scientist
Align your degree to the role definition
TN classification hinges on your degree matching the job's specialty. A statistics or computer science degree maps cleanly, but a physics or economics degree requires your offer letter to explicitly frame the role around quantitative research methods, not general analysis.
Request a dual-category support letter
Some Research Data Scientist roles qualify under more than one USMCA category. Ask your employer to draft a support letter that addresses both Computer Systems Analyst and Scientific Technician criteria, giving CBP officers a stronger basis for approval at the port of entry.
Target employers with dedicated research divisions
Companies running internal R&D labs, university-affiliated research centers, or federal contract work are accustomed to TN paperwork for research roles. Their HR teams understand how to scope job duties in ways that satisfy CBP's specialty occupation review.
Search for TN-sponsored openings using Migrate Mate
Filter Research Data Scientist postings by TN visa eligibility on Migrate Mate to surface employers already prepared to sponsor. This cuts the back-and-forth with recruiters who aren't familiar with TN requirements for research-focused roles.
Prepare for CBP duty-by-duty scrutiny
Canadian citizens applying at the port of entry should expect CBP to review each listed job duty independently. Generic titles like 'data scientist' get more pushback than offers specifying model development, experimental design, or statistical inference as primary responsibilities.
Confirm your employer's I-9 process before your start date
Your TN approval document is your work authorization. Confirm with HR that your employer's I-9 and E-Verify processes are set up to accept TN status, since some onboarding teams default to EAD workflows and create unnecessary delays for TN holders.
Research Data Scientist jobs are hiring across the US. Find yours.
Find Research Data Scientist JobsResearch Data Scientist TN Visa: Frequently Asked Questions
Does a Research Data Scientist role qualify for TN visa status?
It depends on how the position is scoped. Research Data Scientist roles most commonly qualify under the Computer Systems Analyst or Scientific Technician/Technologist categories in the USMCA schedule. The job offer must describe duties centered on specialized research, statistical modeling, or systems analysis. Roles framed around general business intelligence or dashboard reporting are harder to classify and face more CBP scrutiny.
How does TN compare to H-1B for Research Data Scientist positions?
For Canadian and Mexican professionals, TN has a significant structural advantage: there is no lottery and no annual cap for Canadians, so you can start work as soon as CBP approves your application at the port of entry. H-1B requires entering a random lottery in March with a roughly one-in-four selection rate. TN status is also renewable indefinitely in three-year increments, making it a practical long-term path for research professionals.
Where can I find Research Data Scientist jobs that offer TN visa sponsorship?
Migrate Mate lets you filter Research Data Scientist openings specifically by TN visa eligibility, so you're only seeing employers already prepared to sponsor. Most general job searches return postings without any sponsorship information, which means wasted time confirming eligibility with individual recruiters before any substantive conversation about the role.
What documents does my employer need to prepare for my TN application?
Your employer provides a support letter on company letterhead that describes the position title, your specific duties, the USMCA category being claimed, your anticipated start date, and confirmation that you hold the required degree. The letter should map each stated job duty to the qualifying category's definition. Canadian citizens bring this to the port of entry; Mexican citizens submit it as part of their consular application package.
Can I switch Research Data Scientist employers while on TN status?
Yes, but TN status is employer-specific. You cannot start working for a new employer until they've secured a new TN approval for you. Canadian citizens can get same-day approval at a port of entry, which makes transitions faster than visa types requiring USCIS petition processing. Mexican citizens need to schedule a new consular appointment. Plan your transition timeline around whichever pathway applies to your nationality.
See which Research Data Scientist employers are hiring and sponsoring visas right now.
Search Research Data Scientist Jobs