E-3 Visa Research Data Scientist Jobs
Research 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. The E-3 has no lottery and no annual cap, making it a reliable path for Australian professionals pursuing U.S. data science careers.
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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 298+ 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 E-3 Visa Sponsorship as a Research Data Scientist
Translate your Australian degree for U.S. employers
Australian three-year bachelor's degrees are generally accepted as equivalent to U.S. four-year degrees for E-3 specialty occupation purposes, but your offer letter must explicitly list a degree requirement. Confirm your qualification wording matches the role before accepting any offer.
Target employers with active LCA filing history
Search DOL's Foreign Labor Application Gateway to identify companies that have filed LCAs for Data Scientist or Research Scientist roles. Employers already familiar with the LCA process move faster and make fewer filing errors than those sponsoring for the first time.
Clarify specialty occupation status for hybrid roles
Research Data Scientist positions that blend engineering and product work can face scrutiny over whether the role genuinely requires a specific degree field. Push for a job description that names the required discipline, not just a generic degree preference, before your employer files the LCA.
Time your consulate appointment around research project cycles
E-3 visas are issued for up to two years, but your start date must align with your certified LCA. If your role has a fixed research cohort or grant start date, factor consulate wait times at Sydney, Melbourne, or Perth into your offer negotiation.
Use Migrate Mate's E-3 filing service for LCA and consulate prep
Research Data Scientist LCAs require accurate SOC code classification and a prevailing wage that reflects the research context of the role. Use Migrate Mate's E-3 filing service to handle your LCA filing and consulate preparation so classification errors don't delay your start date.
Verify your employer meets E-Verify requirements for research institutions
Universities and federally funded research institutions must comply with E-Verify enrollment requirements. Confirm your employer is enrolled before accepting an offer, since E-Verify status affects your I-9 onboarding timeline and any future STEM work authorization considerations.
Research Data Scientist jobs are hiring across the US. Find yours.
Find Research Data Scientist JobsResearch Data Scientist E-3 Visa: Frequently Asked Questions
How do I find Research Data Scientist jobs with E-3 visa sponsorship?
Migrate Mate is built specifically for Australian professionals searching for U.S. roles that include E-3 visa sponsorship. You can filter by job title and see which employers have a track record of sponsoring Australian workers. Generic job boards don't filter by visa type, so you end up manually screening dozens of listings to find employers willing to file an LCA.
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 Research Data Scientist role qualify as a specialty occupation for the E-3?
Yes, provided the position requires a bachelor's degree or higher in a specific field such as statistics, mathematics, computer science, or a related quantitative discipline. The role must require that specific degree, not merely prefer it. Positions where any bachelor's degree satisfies the requirement, regardless of field, are harder to support under the specialty occupation standard.
How does the E-3 compare to the H-1B for Research Data Scientist roles?
The E-3 has no lottery and no annual cap, so you can apply at any point in the year and receive a decision at your consulate interview. The H-1B selection rate has been around 25% in recent fiscal years, meaning most applicants don't get selected regardless of qualifications. For Australian nationals, the E-3 is a substantially more predictable path into U.S. data science roles.
Can I change employers or research institutions while on an E-3?
Yes, but you need to restart the process with the new employer. Your new sponsor must file a certified LCA for the new role before you begin work, and you'll typically need a new E-3 visa stamp unless you're changing status from inside the U.S. There's no portability mechanism comparable to H-1B AC21, so plan your transition timeline carefully around consulate appointment availability.
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