Research Scientist Jobs at Google with Visa Sponsorship
Research Scientist jobs at Google involve working on foundational and applied problems across AI, machine learning, systems, and human-computer interaction. The company has a strong track record of sponsoring work visas for this function, supporting candidates through H-1B visa, H-1B1 visa, and E-3 visa pathways depending on your nationality.
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Get Access To All JobsINTRODUCTION
Ads Metrics is a data science team which supports the Search Ads and Ads on Google Experiences (SAGE) organization in developing Google's most important ad products, and driving over $100B in annual business. Core Metrics is a subteam in Ads Metrics that focuses on developing and improving SAGE's Northstar metrics (including long-term business and ads blindness) which are used organization-wide to inform launch decisions.
In this role, you will take on challenging problems in measurement methodology and experiment design, while also staying focused on helping the organization make better business decisions from data. Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We’re made up of multiple teams, building Google’s Advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $174000 - $253000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
ROLE AND RESPONSIBILITIES
- 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.
- Use custom data infrastructure or existing data models as appropriate, using specialized knowledge. Design and evaluate models to mathematically express and solve defined problems with limited precedent.
- Gather information, business goals, priorities, and organizational context around the questions to answer, as well as the existing and upcoming data infrastructure.
- Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python). Independently format, re-structure, or validate data to ensure quality, and review the dataset to ensure it is ready for analysis.
MINIMUM QUALIFICATIONS
- Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
- 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 3 years of work experience with a PhD degree.
PREFERRED QUALIFICATIONS
- 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.
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.
INTRODUCTION
Ads Metrics is a data science team which supports the Search Ads and Ads on Google Experiences (SAGE) organization in developing Google's most important ad products, and driving over $100B in annual business. Core Metrics is a subteam in Ads Metrics that focuses on developing and improving SAGE's Northstar metrics (including long-term business and ads blindness) which are used organization-wide to inform launch decisions.
In this role, you will take on challenging problems in measurement methodology and experiment design, while also staying focused on helping the organization make better business decisions from data. Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We’re made up of multiple teams, building Google’s Advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $174000 - $253000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
ROLE AND RESPONSIBILITIES
- 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.
- Use custom data infrastructure or existing data models as appropriate, using specialized knowledge. Design and evaluate models to mathematically express and solve defined problems with limited precedent.
- Gather information, business goals, priorities, and organizational context around the questions to answer, as well as the existing and upcoming data infrastructure.
- Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python). Independently format, re-structure, or validate data to ensure quality, and review the dataset to ensure it is ready for analysis.
MINIMUM QUALIFICATIONS
- Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
- 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 3 years of work experience with a PhD degree.
PREFERRED QUALIFICATIONS
- 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.
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 58+ Research Scientist Jobs at Google
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Get Access To All JobsTips for Finding Research Scientist Jobs at Google
Align your publications to Google's research priorities
Google's Research Scientist roles require a demonstrated publication record. Before applying, map your papers to active Google Research areas like large language models, quantum computing, or responsible AI to show direct relevance during screening.
Target teams that post PhD-required listings
Google distinguishes Research Scientists from Software Engineers by requiring a PhD in a relevant field. Focus your search on listings that explicitly state doctoral requirements. These roles have a stronger precedent for specialty occupation classification under H-1B petitions.
Find Google's open Research Scientist roles on Migrate Mate
Use Migrate Mate to filter Google's open Research Scientist positions by visa type. This saves time identifying which roles are actively being filled by international candidates and which sponsorship categories apply to your nationality.
Clarify your visa category before accepting an offer
If you're an Australian citizen, Google can file an E-3 petition year-round without lottery risk. Canadians may qualify for H-1B1 visa. Confirm your eligibility category with Google's immigration team before signing, since each pathway has different processing timelines.
Request premium processing if your start date is fixed
USCIS offers premium processing for H-1B petitions, which guarantees a 15 business day adjudication window. For Research Scientist roles with defined project start dates or lab onboarding schedules, ask Google's legal team whether premium processing is included.
Prepare your degree equivalency documentation early
Google's immigration filings for Research Scientists often rely on your degree credentials to establish specialty occupation status. If your doctorate is from a non-U.S. institution, obtain a credential evaluation from a NACES-approved evaluator before your offer letter stage.
Frequently Asked Questions
Does Google sponsor H-1B visas for Research Scientists?
Yes, Google sponsors H-1B visas for Research Scientists. The role qualifies as a specialty occupation given the doctoral-level requirements in fields like computer science, machine learning, or statistics. Google's immigration team handles the filing, including the Labor Condition Application submitted to the DOL and the I-129 petition filed with USCIS.
Which visa types does Google use to sponsor Research Scientists?
Google sponsors Research Scientists through H-1B, H-1B1 visa, and E-3 visas depending on your nationality. H-1B is the standard pathway for most international candidates and requires lottery selection. Australian citizens qualify for the E-3, which has no lottery and can be filed any time of year. Singaporean and Chilean nationals may qualify for H-1B1.
What qualifications does Google expect for Research Scientist roles?
Google requires a PhD in computer science, machine learning, statistics, or a closely related field for Research Scientist positions. Beyond the degree, you're expected to have a peer-reviewed publication record and hands-on experience with research in areas like deep learning, natural language processing, or systems design. Industry research experience alongside your academic background strengthens your application.
How do I apply for Research Scientist jobs at Google?
You can browse open Research Scientist roles at Google through Migrate Mate, which filters listings by visa sponsorship type so you can identify roles relevant to your situation. Applications go through Google's careers portal and typically involve a resume screen, technical phone interviews, and an on-site or virtual research presentation before an offer is extended.
How do I plan my timeline if I need H-1B sponsorship at Google?
H-1B registration opens in March each year, and USCIS conducts the lottery shortly after. If selected, Google can file your petition starting April 1 for an October 1 start date. That means you should have an offer finalized by late February. If you're on OPT, your 60-day grace period and STEM extension eligibility affect how long you can stay authorized between roles.