Data Scientist Jobs at Google with Visa Sponsorship
Google hires Data Scientists across product, research, and infrastructure teams, working on problems at a scale most companies never encounter. For international candidates, Google has a well-established sponsorship process covering H-1B, H-1B1, and E-3 visas, with dedicated immigration support throughout the process.
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Get Access To All JobsINTRODUCTION
The Search Data Science team's goal is to drive Search product excellence and growth with data insights. We perform analysis to help the Search organization make big investment decisions. We do research on topline and operational metrics for Search products to help them make data-driven decisions. We work closely with product teams end-to-end to help them build products that users love. This includes headroom analysis, product-market fit, experiment analysis, and helping leadership make trade-offs between engaging metrics (e.g., richness of experience versus search latency). We provide insights to drive responsible growth for Search; most importantly, long-term user value is what we care about the most.
As a Data Scientist on the Google Workspace team, you will help improve the user experience and drive growth for a product with over 100 million users. You will join a motivated and dedicated team, where your work will have a significant global impact. You will use user log analysis, experimentation, and data visualization to deliver more accurate information and ensure users can easily meet their needs. Ultimately, you will help make Google Workspace the go-to source for relevant information, globally.
ROLE AND RESPONSIBILITIES
- Work closely with cross-functional team members within Google's App Growth organization to define and execute strategies for acquiring and retaining users on both iOS and Android platforms.
- Provide quantitative support, market understanding, and a perspective to our partners throughout the organization.
- Work with large data sets and solve non-routine investigative issues, applying statistical methods to measure quality, improve consumer products, and understand end-user behavior.
- Make compelling business recommendations through effective presentations of findings to multiple levels of stakeholders and solid storytelling with data.
- Interact cross-functionally with a wide variety of teams, working closely with Product Manager and Engineering leads to identify growth and quality opportunities for the product.
MINIMUM QUALIFICATIONS
- Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
- 5 years of work experience with analysis applications (e.g., extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL) or 2 years of experience with a Master's degree.
PREFERRED QUALIFICATIONS
- Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
COMPENSATION
The US base salary range for this full-time position is $138,000-$198,000 + 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.
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
The Search Data Science team's goal is to drive Search product excellence and growth with data insights. We perform analysis to help the Search organization make big investment decisions. We do research on topline and operational metrics for Search products to help them make data-driven decisions. We work closely with product teams end-to-end to help them build products that users love. This includes headroom analysis, product-market fit, experiment analysis, and helping leadership make trade-offs between engaging metrics (e.g., richness of experience versus search latency). We provide insights to drive responsible growth for Search; most importantly, long-term user value is what we care about the most.
As a Data Scientist on the Google Workspace team, you will help improve the user experience and drive growth for a product with over 100 million users. You will join a motivated and dedicated team, where your work will have a significant global impact. You will use user log analysis, experimentation, and data visualization to deliver more accurate information and ensure users can easily meet their needs. Ultimately, you will help make Google Workspace the go-to source for relevant information, globally.
ROLE AND RESPONSIBILITIES
- Work closely with cross-functional team members within Google's App Growth organization to define and execute strategies for acquiring and retaining users on both iOS and Android platforms.
- Provide quantitative support, market understanding, and a perspective to our partners throughout the organization.
- Work with large data sets and solve non-routine investigative issues, applying statistical methods to measure quality, improve consumer products, and understand end-user behavior.
- Make compelling business recommendations through effective presentations of findings to multiple levels of stakeholders and solid storytelling with data.
- Interact cross-functionally with a wide variety of teams, working closely with Product Manager and Engineering leads to identify growth and quality opportunities for the product.
MINIMUM QUALIFICATIONS
- Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
- 5 years of work experience with analysis applications (e.g., extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL) or 2 years of experience with a Master's degree.
PREFERRED QUALIFICATIONS
- Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
COMPENSATION
The US base salary range for this full-time position is $138,000-$198,000 + 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.
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 Data Scientist Jobs at Google Jobs
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, prioritize applied science or analytics engineering roles where those visa types see consistent approvals, rather than research scientist tracks that skew toward O-1 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.
Data Scientist at Google jobs are hiring across the US. Find yours.
Find Data Scientist at Google JobsFrequently 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 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 filings, which are not lottery-based, USCIS standard processing runs roughly three to five months, with premium processing available to shorten that window.
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