Data Science Director Visa Sponsorship Jobs in California
California is one of the top states for data science director roles, with major employers including Google, Meta, Apple, and Salesforce concentrated in the Bay Area, Los Angeles, and San Diego. These companies routinely sponsor work visas for senior data science leadership, making California a primary destination for international professionals pursuing this level of career.
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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 Director Job Roles in California
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Search Data Science Director Jobs in CaliforniaData Science Director Jobs in California: Frequently Asked Questions
Which companies sponsor visas for data science directors in California?
Large technology employers are the most consistent sponsors for data science director roles in California. Companies including Google, Meta, Apple, Amazon, Microsoft, Salesforce, and Adobe have established immigration programs and regularly file H-1B visa petitions for senior data science leadership. Healthcare technology firms like Kaiser Permanente and financial technology companies headquartered in San Francisco also appear frequently in Department of Labor disclosure data for this role level.
Which visa types are most common for data science director roles in California?
The H-1B visa is the most common pathway for data science directors in California, as the role typically requires advanced degrees in statistics, computer science, or a related field, satisfying the specialty occupation standard. Candidates with extraordinary recognition in the field may qualify for the O-1A visa. Directors already at a senior level internationally may explore the L-1A intracompany transferee category if their employer has a U.S. entity.
Which cities in California have the most data science director sponsorship jobs?
The San Francisco Bay Area, including San Jose, Mountain View, and Menlo Park, concentrates the highest volume of data science director sponsorship activity due to the density of major technology headquarters. Los Angeles has grown significantly, particularly in entertainment technology, e-commerce, and health tech. San Diego is an emerging hub driven by biotech and defense technology employers that sponsor at the director level.
How to find data science director visa sponsorship jobs in California?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it easier to identify data science director openings in California without sorting through roles that won't support international candidates. You can browse by location and seniority level to surface relevant opportunities at employers with active sponsorship programs. This is particularly useful for director-level searches where sponsorship willingness varies significantly by company size and hiring volume.
Are there any California-specific considerations for data science director visa sponsorship?
California's prevailing wage requirements under Department of Labor rules apply to H-1B petitions filed for positions in the state, and director-level roles in high-cost metro areas like San Francisco typically fall into the upper wage tiers. Many California employers, particularly in the Bay Area, have strong relationships with immigration counsel and manage high-volume sponsorship programs internally. University pipelines from UC Berkeley, Stanford, and UCLA also contribute a significant share of candidates who transition from student visas to employer-sponsored status at the director level over time.
What is the prevailing wage for sponsored data science director 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.