Data Scientist Visa Sponsorship Jobs in California
California leads the U.S. in data scientist hiring, with major employers like Google, Meta, Apple, Salesforce, and Netflix actively recruiting internationally. San Francisco, San Jose, and Los Angeles concentrate the most roles. Many California tech and biotech companies have established visa sponsorship programs, making this state one of the most active markets for international data scientists.
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Get Access To All JobsINTRODUCTION
Google Play provides apps, games, and digital content services that bring Android devices to life. It’s a Google approach to entertainment, syncing magically across your devices and the web. As part of the Platform and Devices team, working on Google Play, you will do everything from shaping the product strategy, to engineering our backend systems, to forming great content partnerships. You will make it possible for people to do things like buy a game or app on their Android phone, then have it instantly available across all the form factors.
The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world.
ROLE AND RESPONSIBILITIES
- Partner with Engineering, Product Management, and other Play/Apps stakeholders to inform strategy, influence with insights, and provide methodological insights and metrics that reduce risk and improve user experience.
- Design and analyze A/B experiments, develop and operationalize novel measurement methodologies, including ensuring proper logging and metrics, to quantify user behavior, engagement, and long-term user value for app features.
- Conduct post-launch and longitudinal analyses to identify growth opportunities, understand long-term impact, and inform future product development.
- Research, develop, and monitor ML models to improve user engagement, including establishing evaluation criteria.
- Develop frameworks to measure product success and deliver effective, visually compelling presentations of findings and actionable recommendations to multiple levels of leadership.
BASIC QUALIFICATIONS
- Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
- 10 years of experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL), or 8 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.
- 12 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL).
COMPENSATION
The US base salary range for this full-time position is $192,000-$278,000 + 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
Google Play provides apps, games, and digital content services that bring Android devices to life. It’s a Google approach to entertainment, syncing magically across your devices and the web. As part of the Platform and Devices team, working on Google Play, you will do everything from shaping the product strategy, to engineering our backend systems, to forming great content partnerships. You will make it possible for people to do things like buy a game or app on their Android phone, then have it instantly available across all the form factors.
The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world.
ROLE AND RESPONSIBILITIES
- Partner with Engineering, Product Management, and other Play/Apps stakeholders to inform strategy, influence with insights, and provide methodological insights and metrics that reduce risk and improve user experience.
- Design and analyze A/B experiments, develop and operationalize novel measurement methodologies, including ensuring proper logging and metrics, to quantify user behavior, engagement, and long-term user value for app features.
- Conduct post-launch and longitudinal analyses to identify growth opportunities, understand long-term impact, and inform future product development.
- Research, develop, and monitor ML models to improve user engagement, including establishing evaluation criteria.
- Develop frameworks to measure product success and deliver effective, visually compelling presentations of findings and actionable recommendations to multiple levels of leadership.
BASIC QUALIFICATIONS
- Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
- 10 years of experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL), or 8 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.
- 12 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL).
COMPENSATION
The US base salary range for this full-time position is $192,000-$278,000 + 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.
Data Scientist Job Roles in California
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Search Data Scientist Jobs in CaliforniaData Scientist Jobs in California: Frequently Asked Questions
Which companies in California sponsor visas for data scientists?
Large technology companies consistently file among the highest volumes of H-1B petitions for data scientist roles in California. Google, Apple, Meta, Salesforce, Adobe, and Netflix are among the most active sponsors in the San Francisco Bay Area. Biotech firms like Genentech and Gilead Sciences sponsor data scientists in the life sciences sector. Enterprise software and cloud infrastructure companies across Silicon Valley also maintain active sponsorship programs for this role.
What visa types are most common for data scientist roles in California?
The H-1B is by far the most common visa category for data scientists in California, as the role typically meets the specialty occupation standard requiring at least a bachelor's degree in a directly related field such as statistics, computer science, or mathematics. Candidates with exceptional research records may qualify for the O-1A. Australians can pursue the E-3 as a cap-exempt alternative. Holders of F-1 OPT or STEM OPT also fill many California data science positions while awaiting H-1B selection.
Which cities in California have the most data scientist visa sponsorship jobs?
The San Francisco Bay Area, including San Jose, Sunnyvale, and Mountain View, concentrates the largest share of data scientist sponsorship roles in California, driven by the density of technology companies in Silicon Valley. Los Angeles is the second major hub, with growing demand from entertainment tech, fintech, and e-commerce employers. San Diego has a notable cluster of biotech and defense-adjacent analytics roles. Sacramento and the broader Central Valley have smaller but emerging markets in agritech and government contracting.
How to find data scientist visa sponsorship jobs in California?
Migrate Mate filters job listings specifically to roles where employers have demonstrated sponsorship willingness, saving you the work of screening hundreds of postings manually. For data scientist roles in California, you can filter by location to surface positions in San Francisco, Los Angeles, San Diego, and other major hubs. Migrate Mate is designed for international candidates, so the listings are relevant to people who need an H-1B, E-3, or other work visa to take the role.
Are there any California-specific factors that affect visa sponsorship for data scientists?
California's prevailing wage requirements under Department of Labor guidelines apply to all H-1B petitions filed for positions in the state, and wages in the Bay Area and Los Angeles metro areas are among the highest prevailing wage determinations in the country. This means employers must offer competitive compensation benchmarked to local market rates, not national averages. California also has strong university pipelines from UC Berkeley, Stanford, and UCLA that feed international talent directly into the tech and biotech sectors, where many employers already have established sponsorship infrastructure.
What is the prevailing wage for sponsored data scientist jobs in California?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.
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