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
Google's leadership team hand-picks thorny business challenges, and members of BizOps work in small teams to find solutions. As part of this team you fully immerse yourself in data collection, draw insight from analysis, and then zoom out to develop compelling, synthesized recommendations. Taking strategy one step further, you also persuasively communicate your recommendations to senior-level executives, roll-up your sleeves to help drive implementation and check back-in to see the impact of your recommendations.
Marketing at Google starts with technology and ends with the user, bringing both together in unconventional ways. Our job is to demonstrate how Google's products solve the world's problems—from the everyday to the epic, from the mundane to the monumental.
In this role, you will drive key measurement and analytics programs that deliver a scaled impact for Google Marketing across media campaigns.
On a more day-to-day basis you will play a strategic and technical role in driving all things marketing analytics, with a strong focus on the incremental impact of marketing dollars.
You'll define problems, develop metrics, extract data and communicate results into recommendations that enable decision-making and drive business impact. You will own measurement and define milestones, provide direction for agencies/vendors, delegate, prioritize, plan, and direct a group of people to drive the project to completion.
As a Marketing Analyst you will be seen as an expert within our team on all things that relate to media incrementality, MMMs, MMTs and digital measurement methodologies such as channel level experiments and brand lift tools. You will maintain global consistency, while keeping regional focus.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $138000 - $198000 (USD) + 15% bonus target + bonus + equity + benefits
Learn more about benefits at Google.
ROLE AND RESPONSIBILITIES
- Provide support in media strategy, measurement and optimization that requires expertise in advanced analytics work, with special focus on applying data science to marketing and meta analysis approaches.
- Drive advanced analytics work including experimentation, measurement and modeling.
- Identify patterns and behaviors that are effective predictors of performance and critical drivers for a successful media plan.
- Develop evaluation frameworks for large-scale models, new metrics, and investigate anomalies. Frame and solve ambiguous problems by scoping technical priorities and innovating on statistical methods.
BASIC QUALIFICATIONS
- Master's degree in a quantitative discipline such as Mathematics, Economics, Statistics, Engineering, Sciences, or equivalent practical experience
- 3 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases and doing statistical analysis.
- Experience in causal inference, A/B testing, statistical modeling, or machine learning.
- Experience in campaign brand or conversion lift measurement and using analytical insights to guide media planning or experience working in digital marketing: performance incrementality geo experiments (match market tests).
PREFERRED QUALIFICATIONS
- 4 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a relevant PhD degree.
- Experience delivering meta analysis, fully automated analytics pipelines or audience segmentation and propensity modeling.
- Understanding of Bayesian approaches and modeling frameworks.
- Proven ability to generate practical solutions for marketing analytics problems and use results to drive business change in partnership with cross-functional stakeholders.
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
Google's leadership team hand-picks thorny business challenges, and members of BizOps work in small teams to find solutions. As part of this team you fully immerse yourself in data collection, draw insight from analysis, and then zoom out to develop compelling, synthesized recommendations. Taking strategy one step further, you also persuasively communicate your recommendations to senior-level executives, roll-up your sleeves to help drive implementation and check back-in to see the impact of your recommendations.
Marketing at Google starts with technology and ends with the user, bringing both together in unconventional ways. Our job is to demonstrate how Google's products solve the world's problems—from the everyday to the epic, from the mundane to the monumental.
In this role, you will drive key measurement and analytics programs that deliver a scaled impact for Google Marketing across media campaigns.
On a more day-to-day basis you will play a strategic and technical role in driving all things marketing analytics, with a strong focus on the incremental impact of marketing dollars.
You'll define problems, develop metrics, extract data and communicate results into recommendations that enable decision-making and drive business impact. You will own measurement and define milestones, provide direction for agencies/vendors, delegate, prioritize, plan, and direct a group of people to drive the project to completion.
As a Marketing Analyst you will be seen as an expert within our team on all things that relate to media incrementality, MMMs, MMTs and digital measurement methodologies such as channel level experiments and brand lift tools. You will maintain global consistency, while keeping regional focus.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $138000 - $198000 (USD) + 15% bonus target + bonus + equity + benefits
Learn more about benefits at Google.
ROLE AND RESPONSIBILITIES
- Provide support in media strategy, measurement and optimization that requires expertise in advanced analytics work, with special focus on applying data science to marketing and meta analysis approaches.
- Drive advanced analytics work including experimentation, measurement and modeling.
- Identify patterns and behaviors that are effective predictors of performance and critical drivers for a successful media plan.
- Develop evaluation frameworks for large-scale models, new metrics, and investigate anomalies. Frame and solve ambiguous problems by scoping technical priorities and innovating on statistical methods.
BASIC QUALIFICATIONS
- Master's degree in a quantitative discipline such as Mathematics, Economics, Statistics, Engineering, Sciences, or equivalent practical experience
- 3 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases and doing statistical analysis.
- Experience in causal inference, A/B testing, statistical modeling, or machine learning.
- Experience in campaign brand or conversion lift measurement and using analytical insights to guide media planning or experience working in digital marketing: performance incrementality geo experiments (match market tests).
PREFERRED QUALIFICATIONS
- 4 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a relevant PhD degree.
- Experience delivering meta analysis, fully automated analytics pipelines or audience segmentation and propensity modeling.
- Understanding of Bayesian approaches and modeling frameworks.
- Proven ability to generate practical solutions for marketing analytics problems and use results to drive business change in partnership with cross-functional stakeholders.
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 Data Scientist Jobs at Google
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Scientist Jobs at Google.
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.