Research Data Scientist Visa Sponsorship Jobs in California
Research data scientist visa sponsorship jobs in California are concentrated in the San Francisco Bay Area, Los Angeles, and San Diego, with major employers including Google, Meta, Apple, Genentech, and NVIDIA. The state's dense cluster of research universities and tech and biotech companies makes it one of the most active markets for sponsored research data scientist roles in the country.
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Get Access To All JobsMinimum qualifications:
- Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
- 5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 3 years of work experience with a PhD degree.
Preferred qualifications:
- 8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree.
About the job
Google Display Ads (GDA) is a network of advertisers and publishers in which advertisers participate through auctions to win impressions (showing their ad to a user). Each advertiser has a business goal to achieve. That goal could be getting most conversions given their budget, most clicks given a limit on cost-per-click, or many other more advanced settings. Our larger team is responsible for the backend systems that power all these optimizations.
Specifically for our team, we work on GDA Ads retrieval, where the core objective is to efficiently find the ad candidate that can deliver the highest value for a given query, a difficult task since Google has access to millions of ads. We need to build an efficient system to score, rank and select candidates at large scale, and send them to the final auction to get more accurate bidding and prediction.
We provide a framework that dynamically controls the trade-off between revenue and resource usage by automatically adjusting serving parameters on a per-query basis. Our goal is to maximize advertiser value (revenue) subject to constraints on serving resources and latency. You will be working on a system that directly impacts the efficiency and profitability of a large-scale advertising platform.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits
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). Independently format, re-structure, or validate data to ensure quality, and review the dataset to ensure it is ready for analysis.
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.
Minimum qualifications:
- Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
- 5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 3 years of work experience with a PhD degree.
Preferred qualifications:
- 8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree.
About the job
Google Display Ads (GDA) is a network of advertisers and publishers in which advertisers participate through auctions to win impressions (showing their ad to a user). Each advertiser has a business goal to achieve. That goal could be getting most conversions given their budget, most clicks given a limit on cost-per-click, or many other more advanced settings. Our larger team is responsible for the backend systems that power all these optimizations.
Specifically for our team, we work on GDA Ads retrieval, where the core objective is to efficiently find the ad candidate that can deliver the highest value for a given query, a difficult task since Google has access to millions of ads. We need to build an efficient system to score, rank and select candidates at large scale, and send them to the final auction to get more accurate bidding and prediction.
We provide a framework that dynamically controls the trade-off between revenue and resource usage by automatically adjusting serving parameters on a per-query basis. Our goal is to maximize advertiser value (revenue) subject to constraints on serving resources and latency. You will be working on a system that directly impacts the efficiency and profitability of a large-scale advertising platform.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits
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). Independently format, re-structure, or validate data to ensure quality, and review the dataset to ensure it is ready for analysis.
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.
Research Data Scientist Job Roles in California
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Search Research Data Scientist Jobs in CaliforniaResearch Data Scientist Jobs in California: Frequently Asked Questions
Which companies in California sponsor visas for research data scientists?
Large tech companies including Google, Meta, Apple, Microsoft, and Amazon have established sponsorship programs for research data scientists at their California offices. Biotech and pharmaceutical companies such as Genentech, Gilead Sciences, and Pfizer's La Jolla site also regularly sponsor. Semiconductor firms like NVIDIA and Qualcomm are consistent sponsors for research-oriented data science roles, particularly those requiring advanced machine learning expertise.
What visa types are most commonly used for research data scientist roles in California?
The H-1B visa is the most common visa for research data scientists in California, given that the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in a directly related field such as statistics, computer science, or a quantitative discipline. Candidates with a master's or PhD may have a modest advantage in the H-1B lottery's advanced degree exemption. O-1A visas are an option for those with demonstrated research distinctions, such as publications or awards.
Which cities in California have the most research data scientist visa sponsorship jobs?
The San Francisco Bay Area, including San Francisco, Sunnyvale, Mountain View, Menlo Park, and Santa Clara, accounts for the largest share of research data scientist sponsorship activity in California, driven by major tech and AI research labs. Los Angeles is growing quickly, particularly in entertainment technology and applied AI. San Diego has a strong biotech and defense research presence, making it a notable secondary market for research data scientist roles.
How to find research data scientist visa sponsorship jobs in California?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it straightforward to browse research data scientist openings in California without sifting through roles that don't sponsor. Because the platform focuses on international candidates, listings tend to come from employers already familiar with the H-1B process. Filtering by California and the research data scientist role type on Migrate Mate gives you a targeted view of active sponsoring employers in the state.
Are there state-specific factors that affect visa sponsorship for research data scientists in California?
California's high cost of living means prevailing wage requirements, which H-1B employers must meet and certify through a Labor Condition Application filed with the Department of Labor, tend to be among the highest in the country for research data scientist roles. The state's concentration of top-ranked research universities, including UC Berkeley, Stanford, UCLA, and UCSD, creates a strong pipeline of international PhD candidates that employers in California are experienced in sponsoring.
What is the prevailing wage for sponsored research 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.