Scientist Jobs at Google with Visa Sponsorship
Scientist roles at Google span research, applied science, and machine learning across teams like Google Research and DeepMind. Google has a well-established sponsorship infrastructure for technical roles, making it a realistic target for international candidates on H-1B, H-1B1, or E-3 visas.
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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 Scientist Jobs at Google Jobs
Publish Research Before Applying to Google
Google's scientist hiring committees weight peer-reviewed publications and conference presentations heavily. Having work indexed in Google Scholar or cited at NeurIPS, ICML, or ACL strengthens your petition and gives immigration attorneys concrete evidence for specialty occupation.
Distinguish Research Scientist from Applied Scientist
Google separates Research Scientist roles, which require a PhD and original contributions to a research agenda, from Applied Scientist roles, which focus on deploying models. Applying to the wrong track delays your process and can complicate the LCA job title alignment with DOL.
Time Your Application Around the H-1B Cap
If you need a cap-subject H-1B, Google must register you in the USCIS lottery in March for an October 1 start. Receiving an offer in May for an August start date won't work unless you're already cap-exempt through a previous petition or OPT gap-filling is available.
Align Your Degree Field to the Job Description
USCIS scrutinizes specialty occupation for scientist roles when the degree field is broad. If your PhD is in physics but the role is in computational biology, prepare a detailed cover letter and ask Google's immigration team to document the direct connection in the I-129 filing.
Use Migrate Mate to Find Sponsored Scientist Openings
Not every Google scientist job listing signals visa sponsorship clearly. Use Migrate Mate to filter verified sponsoring roles at Google, so you're applying to positions where the hiring team has an active track record with your visa type.
Scientist at Google jobs are hiring across the US. Find yours.
Find Scientist at Google JobsFrequently Asked Questions
Does Google sponsor H-1B visas for Scientists?
Yes, Google sponsors H-1B visas for Scientist roles across teams including Google Research, Google DeepMind, and Google Cloud. Google has established immigration support infrastructure, meaning your petition is handled by experienced in-house or retained counsel. Cap-subject petitions require registration in the USCIS H-1B lottery each March, so offer timing matters significantly.
How do I apply for Scientist jobs at Google?
Applications go through Google's careers portal at careers.google.com. Most scientist roles require a PhD and a technical screening that includes a research presentation or coding component. You can also find verified sponsored openings filtered by visa type on Migrate Mate, which helps you prioritize roles where sponsorship is confirmed before you invest time in the process.
Which visa types does Google sponsor for Scientist roles?
Google sponsors H-1B, H-1B1, and E-3 visas for Scientist positions. H-1B is the most commonly used category and is available to all nationalities. H-1B1 is available only to citizens of Chile and Singapore. E-3 is exclusive to Australian citizens. All three require the role to qualify as a specialty occupation under USCIS guidelines.
What qualifications does Google expect for a sponsored Scientist role?
Research Scientist roles at Google typically require a PhD in computer science, machine learning, statistics, or a closely related field, along with a publication record at recognized venues. Applied Scientist roles may accept a master's degree paired with strong industry experience. Your degree field must map directly to the role's technical requirements for the H-1B specialty occupation standard to hold.
How long does the visa sponsorship process take at Google after an offer?
For E-3 and H-1B1 holders, the process from offer to work authorization can take four to eight weeks, as these visas are processed at the consulate or border without waiting for a USCIS petition. Standard H-1B petitions take three to six months. Premium processing through USCIS reduces adjudication to 15 business days but does not speed up the cap registration window.
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