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 JobsINTRODUCTION
Imagine being at the core of the AI revolution, where your expertise directly fuels the most advanced Large Language Models. We are the driving team behind high-quality data – the essential ingredient for unlocking unprecedented AI breakthroughs. Partner with resourceful minds, define data excellence, and make a tangible impact on the future of intelligent systems. If you're passionate about data and want to shape the trajectory of AI, your journey starts here.
As a Senior Staff Research Data Scientist, you will be a key driver of innovation. This role demands deep expertise in machine learning and a strong foundation in core data science methodologies. You'll be instrumental in conceiving and deploying solutions, directly contributing to the advancements of AI. Your ability to translate challenges into strategic opportunities will be critical as you collaborate closely with senior stakeholders.
BASIC 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.
Responsibilities
- Work with large, complex data sets and solve complex and ambitious data science problems.
- Share/present to executive stakeholders and executives, effectively defend your work, and influence strategy and product direction.
- Interact cross-functionally with a wide range of product and model teams. Work closely with Product Management and engineering to identify opportunities.
- Define key metrics to measure success in various shapes and forms.
- Develop new methodologies to improve the performance of Google's models through better training data, including data acquisition, and insights.
The US base salary range for this full-time position is $262,000-$365,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
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.
INTRODUCTION
Imagine being at the core of the AI revolution, where your expertise directly fuels the most advanced Large Language Models. We are the driving team behind high-quality data – the essential ingredient for unlocking unprecedented AI breakthroughs. Partner with resourceful minds, define data excellence, and make a tangible impact on the future of intelligent systems. If you're passionate about data and want to shape the trajectory of AI, your journey starts here.
As a Senior Staff Research Data Scientist, you will be a key driver of innovation. This role demands deep expertise in machine learning and a strong foundation in core data science methodologies. You'll be instrumental in conceiving and deploying solutions, directly contributing to the advancements of AI. Your ability to translate challenges into strategic opportunities will be critical as you collaborate closely with senior stakeholders.
BASIC 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.
Responsibilities
- Work with large, complex data sets and solve complex and ambitious data science problems.
- Share/present to executive stakeholders and executives, effectively defend your work, and influence strategy and product direction.
- Interact cross-functionally with a wide range of product and model teams. Work closely with Product Management and engineering to identify opportunities.
- Define key metrics to measure success in various shapes and forms.
- Develop new methodologies to improve the performance of Google's models through better training data, including data acquisition, and insights.
The US base salary range for this full-time position is $262,000-$365,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
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.