Data Scientist Jobs at Google with Visa Sponsorship
Data Scientist jobs at Google span product, research, and infrastructure teams, tackling problems at a scale most companies never encounter. For international candidates, Google has a well-established sponsorship process covering H-1B visa, H-1B1 visa, and E-3 visas, with dedicated immigration support throughout the process.
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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 38+ Data Scientist Jobs at Google
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Get Access To All JobsTips for Finding Data Scientist Jobs at Google
Tailor your portfolio to Google's data scale
Google evaluates Data Scientists on experience with large-scale systems, not just modeling skills. Prepare work samples or case studies that demonstrate distributed data processing, experimentation at scale, or ML pipeline design before you apply.
Target teams that align with your visa type
Google posts roles across ads, search, cloud, and YouTube. If you're on an E-3 or H-1B1 visa, prioritize applied science or analytics engineering roles where those visa types see consistent approvals, rather than research scientist tracks that skew toward O-1 visa petitions.
Prepare for the coding and statistics interview loop
Google's Data Scientist interviews combine SQL, probability, and product sense rounds alongside coding. Practice causal inference and A/B testing questions specifically, as these come up repeatedly in reported interview feedback for this role.
Confirm sponsorship before completing take-home assessments
Google's recruiting process includes multi-stage assessments. Before investing time in a take-home or onsite loop, ask your recruiter to confirm that the specific team and role level are approved for your visa type to avoid late-stage complications.
Understand the LCA filing timeline relative to your start date
Your employer must get a certified Labor Condition Application from DOL before USCIS can adjudicate your H-1B petition. At Google, this process runs through internal immigration counsel, so build at least 60 days into your expected start date after signing your offer.
Use Migrate Mate to filter verified Data Scientist openings
Finding roles where sponsorship is genuinely available saves weeks of wasted applications. Use Migrate Mate to filter Data Scientist positions at Google by visa type so you're only applying to openings that match your authorization needs.
Frequently Asked Questions
Does Google sponsor H-1B visas for Data Scientists?
Yes, Google sponsors H-1B visas for Data Scientists and has a consistent track record of doing so across product, research, and infrastructure teams. Sponsorship is handled through Google's internal immigration legal team. The H-1B is subject to the annual cap and lottery, so timing your application cycle and securing an offer before the March registration window matters.
How do I apply for Data Scientist jobs at Google?
Applications go through Google's careers portal at careers.google.com. The interview process typically includes a recruiter screen, a technical phone interview covering SQL and statistics, and a virtual onsite loop with four to five rounds covering coding, product sense, and behavioral questions. You can also browse verified sponsorship-eligible openings on Migrate Mate to find active Data Scientist roles at Google filtered by your visa type.
Which visa types does Google commonly use for Data Scientists?
Google uses the H-1B most frequently for Data Scientists, but also files H-1B1 visa petitions for Chilean and Singaporean nationals, and E-3 petitions for Australian citizens. Data Scientist roles qualify as specialty occupations under USCIS guidelines because they require at least a bachelor's degree in a relevant technical field such as statistics, computer science, or applied mathematics.
What qualifications does Google expect for a Data Scientist role?
Google's Data Scientist roles typically require a graduate degree in statistics, computer science, economics, or a related quantitative field, along with hands-on experience in SQL, Python or R, and statistical modeling. For senior levels, experience designing experiments and influencing product decisions through data is expected. Research-track roles often require publications or a PhD, while applied roles weight production ML experience more heavily.
How do I understand the visa filing timeline after receiving a Google offer?
After signing your offer, Google's immigration counsel typically initiates the Labor Condition Application with DOL before filing your H-1B or E-3 petition with USCIS. For H-1B cap cases, this means your start date will be October 1 at the earliest, following the April lottery. For E-3 and H-1B1 visa filings, which are not lottery-based, USCIS standard processing runs roughly three to five months, with premium processing available to shorten that window.