Senior Data Science Engineer Visa Sponsorship Jobs in California
Senior data science engineer visa sponsorship jobs in California are concentrated in the San Francisco Bay Area, Los Angeles, and San Diego, where companies like Google, Meta, Apple, and Salesforce regularly hire international candidates. California's dominance in AI, machine learning, and cloud infrastructure makes it one of the most active states for sponsored roles at this seniority level.
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Get Access To All JobsABOUT 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.
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.
Senior Data Science Engineer Job Roles in California
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Search Senior Data Science Engineer Jobs in CaliforniaSenior Data Science Engineer Jobs in California: Frequently Asked Questions
Which companies sponsor visas for senior data science engineers in California?
Large technology employers are the most consistent sponsors for senior data science engineers in California. Companies like Google, Apple, Meta, Amazon Web Services, and Salesforce have extensive H-1B visa filing histories in this role category. Beyond big tech, biotech firms in the Bay Area and San Diego, including Genentech and Illumina, also sponsor senior data science engineering positions with regularity.
Which visa types are most common for senior data science engineer roles in California?
The H-1B is the most common visa for senior data science engineers in California, as the role qualifies as a specialty occupation requiring at least a bachelor's degree in a directly related field such as computer science, statistics, or engineering. Candidates already authorized to work may also see employers use the O-1A for those with extraordinary ability, or TN visas for Canadian and Mexican nationals in qualifying engineering classifications.
Which cities in California have the most senior data science engineer sponsorship jobs?
The San Francisco Bay Area, including San Jose, Mountain View, and Sunnyvale, concentrates the largest share of senior data science engineer sponsorship jobs in California due to the density of technology headquarters there. Los Angeles is a secondary hub, driven by entertainment technology, fintech, and aerospace data roles. San Diego has a growing cluster tied to biotech and defense sector data science work.
How to find senior data science engineer visa sponsorship jobs in California?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it straightforward to search for senior data science engineer roles in California without sorting through employers who do not sponsor. You can filter by location and seniority level to focus on Bay Area, Los Angeles, or San Diego postings from companies with active sponsorship histories in this role category.
Are there state-specific considerations for senior data science engineers seeking sponsorship in California?
California employers filing H-1B petitions must meet Department of Labor prevailing wage requirements for the specific metropolitan statistical area where the role is based, and Bay Area prevailing wages for senior data science engineers are among the highest in the country. California's large university system, including UC Berkeley, Stanford, and UCLA, creates a strong local pipeline that international candidates compete within, so demonstrating seniority-level experience is especially important when pursuing sponsorship in this state.
What is the prevailing wage for sponsored senior 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.