E-3 Visa Senior Staff Data Scientist Jobs
Senior Staff Data Scientist roles qualify for E-3 visa sponsorship as specialty occupations requiring a bachelor's degree or higher in statistics, computer science, or a related quantitative field. Australian citizens can secure two-year renewable E-3 status with no lottery and no annual cap, making repeated sponsorship straightforward for long-term roles.
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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 E-3 Visa Sponsorship as a Senior Staff Data Scientist
Frame your portfolio around U.S. specialty occupation standards
DOL requires your role to meet specialty occupation criteria. Structure your CV and portfolio to show the direct link between your quantitative degree and senior-level data science deliverables, not just tools used or team size managed.
Target employers with active LCA filing history
Search the DOL's Office of Foreign Labor Certification disclosure data for companies that have filed LCAs for Staff Data Scientist or equivalent titles. Prior filings signal that the employer already understands the E-3 certification process.
Use Migrate Mate to filter verified E-3 sponsors
Use Migrate Mate to find Senior Staff Data Scientist roles at employers with confirmed E-3 sponsorship history. Use Migrate Mate's E-3 filing service to handle your LCA and visa paperwork once you have an offer.
Clarify your Australian bachelor's degree equivalency early
A three-year Australian bachelor's degree is generally accepted as equivalent to a U.S. four-year degree for E-3 purposes, but some consular officers request a credential evaluation. Obtain a NACES-member evaluation before your interview to avoid delays.
Negotiate LCA filing timing into your offer timeline
Your employer must file and receive a certified LCA from DOL before your consulate appointment. Typical DOL certification runs seven business days, but peak periods run longer. Build at least three weeks into your start-date negotiation to cover this.
Prepare for specialty occupation scrutiny at the consulate
Senior Staff Data Scientist roles can attract consular officer questions about whether the position genuinely requires a specific degree field. Bring your offer letter, job description, and degree documentation to demonstrate the direct academic-to-role connection.
Senior Staff Data Scientist jobs are hiring across the US. Find yours.
Find Senior Staff Data Scientist JobsSenior Staff Data Scientist E-3 Visa: Frequently Asked Questions
How do I find Senior Staff Data Scientist jobs with E-3 visa sponsorship?
Migrate Mate lists Senior Staff Data Scientist roles from employers with verified E-3 sponsorship history, so you're not cold-applying to companies that have never navigated the process. Filter by role and visa type to surface active openings where the employer already understands LCA filing and consulate requirements for Australian nationals.
How much does it cost to get an E-3 visa?
Migrate Mate's E-3 filing service covers the entire process for $499, including the Labor Condition Application, visa document preparation, and consulate appointment guidance. Traditional immigration lawyers charge $2,000–$5,000+ for the same work. The E-3 has less paperwork than most work visas, so paying thousands for legal help is usually unnecessary.
Does a Senior Staff Data Scientist role qualify as a specialty occupation for the E-3?
Yes. Senior Staff Data Scientist positions consistently qualify because DOL defines specialty occupation as work requiring at least a bachelor's degree in a specific field directly related to the duties. Roles at this seniority level typically require a degree in statistics, computer science, mathematics, or a closely related quantitative discipline, satisfying that requirement clearly.
How does the E-3 compare to the H-1B for a Senior Staff Data Scientist?
The E-3 has no annual lottery, no cap, and no registration fee, so your employer can file at any point in the year with near-certain access to the visa. The H-1B requires entering a lottery with roughly a 25% selection rate. For Australian nationals at the Staff Data Scientist level, the E-3 is the faster and more predictable path.
Can I switch employers or get promoted while on an E-3 as a data scientist?
You can change employers, but each new employer must file a new LCA and you'll need a new E-3 visa stamp reflecting the updated position. A promotion that materially changes your role title or duties may also require an updated LCA. Plan for two to four weeks of processing time when transitioning between roles or companies.
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