Data Science Engineer Visa Sponsorship Jobs in California
California is the top state for data science engineer visa sponsorship, driven by major tech employers across the San Francisco Bay Area, Los Angeles, and San Diego. Companies like Google, Meta, Apple, and Salesforce regularly sponsor H-1B visas for these roles, with particularly high concentration in Silicon Valley and the broader South Bay.
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Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We’re made up of multiple teams, building Google’s Advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $262000 - $364000 (USD) + 25% bonus target + equity + benefits
MINIMUM QUALIFICATIONS
- Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
- 10 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 8 years of work experience with a PhD degree.
PREFERRED QUALIFICATIONS
- 12 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 10 years of work experience with a PhD degree.
- Experience in team management.
Responsibilities
- Collaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions to answer. Provide feedback to translate and refine business questions into tractable analysis, evaluation metrics, or mathematical models.
- Use custom data infrastructure or existing data models as appropriate, using specialized knowledge. Design and evaluate models to mathematically express and solve defined problems with limited precedent.
- Gather information, business goals, priorities, and organizational context around the questions to answer, as well as the existing and upcoming data infrastructure.
- Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python). Format, re-structure, or validate data to ensure quality, and review the dataset to ensure it is ready for analysis.
- Apply data analysis, machine learning, and AI algorithms to develop models and drive thinking.
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.
ABOUT THE JOB
Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We’re made up of multiple teams, building Google’s Advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $262000 - $364000 (USD) + 25% bonus target + equity + benefits
MINIMUM QUALIFICATIONS
- Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
- 10 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 8 years of work experience with a PhD degree.
PREFERRED QUALIFICATIONS
- 12 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 10 years of work experience with a PhD degree.
- Experience in team management.
Responsibilities
- Collaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions to answer. Provide feedback to translate and refine business questions into tractable analysis, evaluation metrics, or mathematical models.
- Use custom data infrastructure or existing data models as appropriate, using specialized knowledge. Design and evaluate models to mathematically express and solve defined problems with limited precedent.
- Gather information, business goals, priorities, and organizational context around the questions to answer, as well as the existing and upcoming data infrastructure.
- Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python). Format, re-structure, or validate data to ensure quality, and review the dataset to ensure it is ready for analysis.
- Apply data analysis, machine learning, and AI algorithms to develop models and drive thinking.
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 Science Engineer Job Roles in California
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Search Data Science Engineer Jobs in CaliforniaData Science Engineer Jobs in California: Frequently Asked Questions
Which companies in California sponsor visas for data science engineers?
Large tech companies including Google, Apple, Meta, Amazon, and Salesforce are among the most consistent H-1B sponsors for data science engineer roles in California. Beyond the household names, mid-size companies in fintech, healthtech, and enterprise SaaS, particularly those headquartered in the Bay Area or Los Angeles, also file substantial numbers of H-1B petitions for data engineering and machine learning positions each year.
What visa types are most common for data science engineer roles in California?
The H-1B is the most common visa for data science engineers in California, as the role typically requires at least a bachelor's degree in computer science, statistics, or a related field, satisfying the specialty occupation standard. OPT and STEM OPT are common entry points for recent graduates from California universities. Candidates with exceptional publication records or industry recognition may also qualify for the O-1A.
Which California cities have the most data science engineer sponsorship jobs?
The San Francisco Bay Area, including San Jose, Sunnyvale, Mountain View, and San Francisco itself, accounts for the largest share of data science engineer sponsorship roles in California. Los Angeles is a growing second hub, particularly in media technology and aerospace data roles. San Diego has a smaller but active cluster tied to biotech and defense contractors that also hire for these positions.
How to find data science engineer visa sponsorship jobs in California?
Migrate Mate is built specifically for international candidates seeking visa sponsorship and filters data science engineer roles by state, so you can browse California-specific openings from employers with active sponsorship histories. Rather than sorting through thousands of unfiltered postings, Migrate Mate surfaces roles where sponsorship is part of the hiring expectation, which is especially useful given the competitive volume of applications in California's tech market.
Are there any California-specific considerations for data science engineers pursuing visa sponsorship?
California's prevailing wage requirements under the H-1B program are among the highest in the country, reflecting the state's cost of living and competitive tech market. Employers filing Labor Condition Applications for Bay Area or Los Angeles positions must certify wages at or above the applicable prevailing wage level for that location. Many California universities, including UC Berkeley, UCLA, Stanford, and UCSD, also serve as active pipelines feeding sponsored data science engineering roles at nearby employers.
What is the prevailing wage for sponsored data science engineer 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.