Data Science Manager Visa Sponsorship Jobs in California
California is the most active state for data science manager visa sponsorship, driven by Silicon Valley's concentration of tech employers including Google, Meta, Apple, and Salesforce, as well as life sciences firms in the Bay Area and San Diego. Most roles are based in San Francisco, San Jose, Los Angeles, and Seattle-adjacent hubs along the I-680 corridor.
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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 Manager Job Roles in California
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Search Data Science Manager Jobs in CaliforniaData Science Manager Jobs in California: Frequently Asked Questions
Which companies sponsor visas for data science managers in California?
Large tech companies are the most consistent sponsors for data science manager roles in California. Google, Meta, Apple, Amazon, Salesforce, Adobe, and Intuit regularly file H-1B visa petitions for these positions. Beyond pure tech, financial services firms like Wells Fargo and life sciences companies such as Genentech and Gilead also sponsor data science managers, particularly in the Bay Area and San Diego.
Which visa types are most common for data science manager roles in California?
The H-1B is the most common visa for data science managers in California, given the role typically requires a bachelor's or advanced degree in statistics, computer science, or a related field. Candidates with extraordinary recognition in their field may qualify for an O-1A. Australian citizens can pursue the E-3 visa, which has no lottery and is significantly easier to obtain for qualifying specialty occupation roles.
Which cities in California have the most data science manager sponsorship jobs?
San Francisco and San Jose account for the largest share of data science manager sponsorship roles in California, reflecting the concentration of major tech headquarters in Silicon Valley. Los Angeles is a growing second tier, with strong demand from entertainment tech, e-commerce, and aerospace companies. San Diego contributes a meaningful number of roles through its life sciences and biotech sector, particularly around Torrey Pines.
How to find data science manager visa sponsorship jobs in California?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it straightforward to find data science manager roles in California without sorting through employers who don't sponsor. You can filter by state and role type to surface active openings from companies with documented sponsorship histories. Because data science manager positions in California are competitive, setting up alerts for new listings helps you respond quickly.
Are there state-specific considerations for data science manager sponsorship in California?
California employers filing H-1B Labor Condition Applications must meet Department of Labor prevailing wage requirements, which are among the highest in the country given the Bay Area and Los Angeles wage benchmarks. California's large university pipeline, including UC Berkeley, Stanford, and UCLA, means employers receive many qualified applicants, so international candidates benefit from targeting companies with established international hiring programs and dedicated immigration support.
What is the prevailing wage for sponsored data science manager 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.