TN Visa Senior Staff Data Scientist Jobs
Senior Staff Data Scientist roles qualify for TN visa sponsorship under the USMCA's Computer Systems Analyst category, making them accessible to Canadian and Mexican professionals without a lottery. You'll need a relevant bachelor's degree, a qualifying job offer, and an employer ready to document the specialty occupation requirement.
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Get Access To All JobsABOUT THE JOB
As a part of Machine Learning, Systems and Cloud AI (MSCA), we believe that high quality data is key to building better Machine Learning (ML) models, especially in the era of Large Language Models (LLMs). We work directly with model teams to define, measure, and improve data quality, promote best practices, and increase data availability and awareness. The US base salary range for this full-time position is $262,000-$365,000 + 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
- Work with large, data sets. Conduct analysis that includes data gathering and requirements specification, processing, cleaning and curation, analysis, visualization, ongoing deliverables, and presentations.
- Represent analysis to stakeholders and organization executives in order to share insights, influence product direction and answer difficult questions regarding data quality measurement and impact on model performance.
- Define key metrics that are statistically sound and meaningful to measure data quality for data in various shapes and forms, as well as to measure progress of customer engagement.
- Research and develop analysis and optimization methods to improve the quality of Google's ML portfolio and applications, including LLM model and training data planning.
- Conduct independent research and advance the state of understanding in how data impacts ultimate quality of large language models and creating spend optimization priorities with data acquisition.
MINIMUM 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.
- 6 years of experience as a people manager within a technical leadership role.
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
As a part of Machine Learning, Systems and Cloud AI (MSCA), we believe that high quality data is key to building better Machine Learning (ML) models, especially in the era of Large Language Models (LLMs). We work directly with model teams to define, measure, and improve data quality, promote best practices, and increase data availability and awareness. The US base salary range for this full-time position is $262,000-$365,000 + 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
- Work with large, data sets. Conduct analysis that includes data gathering and requirements specification, processing, cleaning and curation, analysis, visualization, ongoing deliverables, and presentations.
- Represent analysis to stakeholders and organization executives in order to share insights, influence product direction and answer difficult questions regarding data quality measurement and impact on model performance.
- Define key metrics that are statistically sound and meaningful to measure data quality for data in various shapes and forms, as well as to measure progress of customer engagement.
- Research and develop analysis and optimization methods to improve the quality of Google's ML portfolio and applications, including LLM model and training data planning.
- Conduct independent research and advance the state of understanding in how data impacts ultimate quality of large language models and creating spend optimization priorities with data acquisition.
MINIMUM 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.
- 6 years of experience as a people manager within a technical leadership role.
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.
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Get Access To All JobsTips for Finding TN Visa Sponsorship as a Senior Staff Data Scientist
Translate your credentials into TN-ready documentation
Senior Staff Data Scientist roles file under Computer Systems Analyst for TN purposes. Gather transcripts showing a degree in computer science, statistics, mathematics, or a closely related field before you start applying, not after an offer arrives.
Target employers with existing TN filing experience
Employers experienced with visa sponsorship already understand the support letter requirements and TN eligibility criteria. Prioritize companies in finance, healthcare tech, and enterprise SaaS, where senior data science roles are routinely filled by TN visa holders.
Verify your offer letter covers all TN requirements
The CBP officer reviews your support letter at the border or port of entry. Confirm your offer explicitly states your title, duties referencing Computer Systems Analyst functions, your degree requirement, and that employment is temporary with a defined term.
Use Migrate Mate to filter for TN-sponsoring employers
Searching for Senior Staff Data Scientist openings at employers experienced with visa sponsorship saves weeks of outreach. Migrate Mate surfaces employers with recent visa filings so you can focus applications on companies already familiar with the sponsorship process.
Address the Mexican TN cap early in negotiations
Mexican nationals are subject to a 5,500 annual TN allocation, unlike Canadians who have no cap. If you're Mexican, confirm with your prospective employer that they're prepared to file through a U.S. consulate in Mexico rather than at a land border port of entry.
Align your scope of work with the Computer Systems Analyst definition
If your role blends data science with people management or product strategy, the employer's support letter must emphasize the analytical and systems functions. A mismatch between your actual duties and the TN category definition is a common denial trigger at adjudication.
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Find Senior Staff Data Scientist JobsSenior Staff Data Scientist TN Visa: Frequently Asked Questions
Does a Senior Staff Data Scientist role qualify for TN visa sponsorship?
Yes, Senior Staff Data Scientist positions typically qualify under the TN Computer Systems Analyst category, which covers roles involving the planning, design, and analysis of computer-based information systems. Your employer's support letter must clearly connect your daily responsibilities to that functional definition. Roles that skew heavily toward management without substantial analytical work can face scrutiny at the border.
How does TN visa sponsorship compare to H-1B for this role?
TN sponsorship is significantly faster and more predictable for Senior Staff Data Scientist roles than H-1B. There's no lottery, no annual cap for Canadians, and CBP can approve TN status at a port of entry the same day you present your documents. H-1B requires USCIS petition filing, a lottery selection, and a wait until October 1 of the fiscal year before you can start work.
Can I switch employers after getting TN status as a data scientist?
You can change employers, but your TN status is tied to the specific employer listed on your approval. You must obtain a new TN for the new employer before starting work, either at a port of entry or through USCIS if you're already inside the U.S. on TN status. There's no portability provision the way there is under H-1B with AC21.
How can I find Senior Staff Data Scientist jobs that offer TN visa sponsorship?
Generic searches rarely surface whether an employer actively supports work visa sponsorship. Migrate Mate is built specifically for this, letting you search Senior Staff Data Scientist openings filtered by employers with recent visa filings so you're not wasting applications on companies unfamiliar with the sponsorship process. That targeting is especially useful given how few employers understand the Computer Systems Analyst category without prior experience.
What documents does a Senior Staff Data Scientist need at the TN border interview?
You'll need a valid passport, a detailed employer support letter confirming your title and Computer Systems Analyst duties, a copy of your signed job offer, and official transcripts or a diploma showing your qualifying degree. CBP officers may ask detailed questions about your analytical responsibilities, so having documentation that clearly ties your role to systems analysis functions prevents unnecessary delays.
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