Data Science Analyst Jobs at Google with Visa Sponsorship
Google hires Data Science Analysts to work across products like Search, Ads, and Cloud, translating large-scale data into decisions that shape how billions of people use technology. The company has a well-established immigration infrastructure and regularly sponsors work visas for this function, making it a realistic target for international candidates.
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INTRODUCTION
In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:
- Health, dental, vision, life, disability insurance
- Retirement Benefits: 401(k) with company match
- Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
- Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
- Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
- Baby Bonding Leave: 18 weeks
- Holidays: 13 paid days per year
MINIMUM QUALIFICATIONS
- Bachelor's degree or equivalent practical experience.
- 5 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.
- Experience in SQL for data extraction, manipulation, and analysis of datasets.
PREFERRED QUALIFICATIONS
- Master's degree in a quantitative discipline.
- Experience within the online advertising industry, particularly Google Ads products and policies.
- Experience in a scripting language (e.g., Python) for analysis and automation.
- Familiarity with organization and Individual verification technologies (e.g., liveness detection, document verification).
- Ability to influence and collaborate effectively with executive stakeholders and cross-functional teams.
- Excellent problem-solving and critical thinking skills with attention to detail in an ever-changing environment.
ABOUT THE JOB
Trust & Safety team members are tasked with identifying and taking on the biggest problems that challenge the safety and integrity of our products. They use technical know-how, excellent problem-solving skills, user insights, and proactive communication to protect users and our partners from abuse across Google products like Search, Maps, Gmail, and Google Ads. On this team, you're a big-picture thinker and strategic team-player with a passion for doing what’s right. You work globally and cross-functionally with Google engineers and product managers to identify and fight abuse and fraud cases at Google speed - with urgency. And you take pride in knowing that every day you are working hard to promote trust in Google and ensuring the highest levels of user safety.
As a part of the Trust and Safety Ads team, the Senior Engineering Analyst will play a pivotal role in safeguarding the Google Ads ecosystem by leading critical projects focused on enhancing advertiser onboarding safety and the accuracy of risk controls.
As a part of their cross-functional responsibilities, you will also interface with Scams-Verification teams and serve as a bridge for high-priority incidents and escalations.
Your role requires a domain expert with exceptional problem-solving skills, technical acumen, and the ability to manage projects and stakeholder relationships in a high-stakes environment.
At Google we work hard to earn our users’ trust every day. Trust & Safety is Google’s team of abuse fighting and user trust experts working daily to make the internet a safer place. We partner with teams across Google to deliver bold solutions in abuse areas such as malware, spam and account hijacking. A team of Analysts, Policy Specialists, Engineers, and Program Managers, we work to reduce risk and fight abuse across all of Google’s products, protecting our users, advertisers, and publishers across the globe in over 40 languages.
The US base salary range for this full-time position is $159,000-$231,000 + 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
- Lead and own the strategy, design, and implementation of projects to secure Google Ads onboarding signup flows, enhancing risk control accuracy and preventing malicious account creation.
- Drive the development, execution, and scaling of advertiser verification methods in partnership with engineering and product teams.
- Design, launch, and analyze validation pilots for new verification techniques and anti-abuse measures, particularly in high-risk markets, iterating based on data-driven insights.
- Act as a liaison to the scams-verification teams, fostering collaboration, sharing insights, and ensuring support for joint initiatives.
- Manage exposure to sensitive content or situations, including graphic, controversial, or upsetting topics or content, while fulfilling on-call schedules outside of working hours, including weekends and holidays.
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
In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:
- Health, dental, vision, life, disability insurance
- Retirement Benefits: 401(k) with company match
- Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
- Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
- Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
- Baby Bonding Leave: 18 weeks
- Holidays: 13 paid days per year
MINIMUM QUALIFICATIONS
- Bachelor's degree or equivalent practical experience.
- 5 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.
- Experience in SQL for data extraction, manipulation, and analysis of datasets.
PREFERRED QUALIFICATIONS
- Master's degree in a quantitative discipline.
- Experience within the online advertising industry, particularly Google Ads products and policies.
- Experience in a scripting language (e.g., Python) for analysis and automation.
- Familiarity with organization and Individual verification technologies (e.g., liveness detection, document verification).
- Ability to influence and collaborate effectively with executive stakeholders and cross-functional teams.
- Excellent problem-solving and critical thinking skills with attention to detail in an ever-changing environment.
ABOUT THE JOB
Trust & Safety team members are tasked with identifying and taking on the biggest problems that challenge the safety and integrity of our products. They use technical know-how, excellent problem-solving skills, user insights, and proactive communication to protect users and our partners from abuse across Google products like Search, Maps, Gmail, and Google Ads. On this team, you're a big-picture thinker and strategic team-player with a passion for doing what’s right. You work globally and cross-functionally with Google engineers and product managers to identify and fight abuse and fraud cases at Google speed - with urgency. And you take pride in knowing that every day you are working hard to promote trust in Google and ensuring the highest levels of user safety.
As a part of the Trust and Safety Ads team, the Senior Engineering Analyst will play a pivotal role in safeguarding the Google Ads ecosystem by leading critical projects focused on enhancing advertiser onboarding safety and the accuracy of risk controls.
As a part of their cross-functional responsibilities, you will also interface with Scams-Verification teams and serve as a bridge for high-priority incidents and escalations.
Your role requires a domain expert with exceptional problem-solving skills, technical acumen, and the ability to manage projects and stakeholder relationships in a high-stakes environment.
At Google we work hard to earn our users’ trust every day. Trust & Safety is Google’s team of abuse fighting and user trust experts working daily to make the internet a safer place. We partner with teams across Google to deliver bold solutions in abuse areas such as malware, spam and account hijacking. A team of Analysts, Policy Specialists, Engineers, and Program Managers, we work to reduce risk and fight abuse across all of Google’s products, protecting our users, advertisers, and publishers across the globe in over 40 languages.
The US base salary range for this full-time position is $159,000-$231,000 + 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
- Lead and own the strategy, design, and implementation of projects to secure Google Ads onboarding signup flows, enhancing risk control accuracy and preventing malicious account creation.
- Drive the development, execution, and scaling of advertiser verification methods in partnership with engineering and product teams.
- Design, launch, and analyze validation pilots for new verification techniques and anti-abuse measures, particularly in high-risk markets, iterating based on data-driven insights.
- Act as a liaison to the scams-verification teams, fostering collaboration, sharing insights, and ensuring support for joint initiatives.
- Manage exposure to sensitive content or situations, including graphic, controversial, or upsetting topics or content, while fulfilling on-call schedules outside of working hours, including weekends and holidays.
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 285+ Data Science Analyst at Google jobs
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Get Access To All JobsTips for Finding Data Science Analyst Jobs at Google Jobs
Tailor your portfolio to Google's scale
Google evaluates Data Science Analyst candidates on experience with distributed data systems and product analytics at scale. Showcase projects involving large datasets, A/B testing frameworks, or experimentation pipelines rather than standalone predictive models.
Identify which team is hiring
Google posts Data Science Analyst roles across divisions like Ads, YouTube, and Google Cloud, each with different technical expectations. Targeting a specific product area lets you align your application materials to that team's known data stack and business problems.
Request premium processing before your start date
USCIS premium processing guarantees a decision within 15 business days. For a Data Science Analyst role with a firm start date tied to a product launch or team headcount cycle, confirm with your Google recruiter that premium processing is part of the sponsorship plan.
Prepare for a structured technical interview loop
Google's hiring process for Data Science Analysts typically includes SQL, probability, and product sense rounds. Sponsorship conversations usually happen after an offer is extended, so clearing the technical bar is the prerequisite to any visa discussion.
Use Migrate Mate to find open roles efficiently
Google lists Data Science Analyst openings across multiple teams simultaneously, and not all are easy to filter by sponsorship eligibility. Use Migrate Mate to browse verified visa-sponsoring roles at Google without manually screening each posting.
Data Science Analyst at Google jobs are hiring across the US. Find yours.
Find Data Science Analyst at Google JobsFrequently Asked Questions
Does Google sponsor H-1B visas for Data Science Analysts?
Yes, Google sponsors H-1B visas for Data Science Analyst roles. The company has an established immigration team that manages filings on behalf of sponsored employees. Because H-1B is subject to an annual lottery, timing your application relative to the April cap season matters. Google also sponsors H-1B1 and E-3 visas, which are not lottery-dependent, for eligible nationals.
Which visa types does Google sponsor for Data Science Analyst roles?
Google sponsors H-1B, H-1B1, and E-3 visas for Data Science Analyst positions. H-1B1 is available to Chilean and Singaporean nationals, while E-3 is exclusively for Australian citizens. Both avoid the H-1B lottery and can be processed faster. Your eligibility depends on your nationality and the specific terms negotiated during the offer process.
How do I apply for Data Science Analyst jobs at Google?
Applications go through Google's careers portal at careers.google.com, where roles are listed by team and location. You can also find sponsorship-verified Data Science Analyst openings at Google through Migrate Mate, which filters specifically for employers with active visa sponsorship. Google's process typically includes a recruiter screen, technical assessments, and a multi-round interview loop before any offer is extended.
What qualifications does Google expect for Data Science Analyst roles?
Google typically looks for a bachelor's or master's degree in statistics, mathematics, computer science, or a related quantitative field. Strong SQL skills, experience with large-scale data infrastructure, and familiarity with experimentation and A/B testing are standard expectations. Candidates with experience on consumer or advertising products tend to be well positioned, given where Google concentrates its analytics work.
How do I understand the visa sponsorship timeline for a Google Data Science Analyst offer?
The timeline depends on your visa type. E-3 and H-1B1 petitions can be filed and approved within weeks. H-1B sponsorship is tied to USCIS's annual cap cycle, with the registration window opening in March and employment starting no earlier than October 1. Google's immigration team will walk you through the specific process after an offer is made, but understanding which visa applies to you ahead of that conversation helps you ask the right questions.
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