Senior Staff Data Scientist Jobs in USA with Visa Sponsorship
Senior Staff Data Scientists are among the most consistently sponsored roles in tech, with H-1B approvals running well above the field average. Employers filing LCAs for this title span cloud platforms, financial services, and health tech, and many petition at the senior level without lottery concerns via cap-exempt routes. For detailed occupation requirements, see the O*NET profile.
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Get Access To All JobsABOUT THE JOB
Help serve Google's worldwide user base of more than a billion people. Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for your fellow Googlers in Engineering and Product Management. You relish tallying up the numbers one minute and communicating your findings to a team leader the next.
Google is an engineering company at heart. We hire people with a broad set of technical skills who are ready to take on some of technology's greatest challenges and make an impact on users around the world. At Google, engineers not only revolutionize search, they routinely work on scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google Ads to Chrome, Android to YouTube, social to local, Google engineers are changing the world one technological achievement after another.
The US base salary range for this full-time position is $240,000-$338,000 + 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.
Responsibilities
- Perform analysis utilizing relevant tools (e.g., SQL, R, Python). Direct projects that combine analytical and organizational complexity towards clear, sound, and actionable decisions.
- Own projects end-to-end, covering problem definition, metrics development, data extraction and manipulation, visualization, creation, and implementation of analytical/statistical models, and presentation to stakeholders.
- Address ambiguous or new problems by using the capabilities of existing systems and collaborate to turn broad problems into work for the team.
- Oversee the integration of cross-functional and cross-organizational project/process timelines, drive improvements and recommendations, and define operational goals and objectives.
- Provide direction and accomplish results through leading/impacting the contributions of others.
MINIMUM QUALIFICATIONS
- Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
- 13 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) (or 10 years work experience plus a Master's degree).
PREFERRED QUALIFICATIONS
- Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
- 15 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL).
BENEFITS
In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:
- Health, dental, vision, life, disability insurance
- Retirement Benefits: 401(k) with company match
- Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
- Sick Time: 40 hours/year (statutory, where applicable); 5 days/event (discretionary)
- Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
- Baby Bonding Leave: 18 weeks
- Holidays: 13 paid days per year
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Kirkland, WA, USA; Sunnyvale, CA, USA.
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
Help serve Google's worldwide user base of more than a billion people. Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for your fellow Googlers in Engineering and Product Management. You relish tallying up the numbers one minute and communicating your findings to a team leader the next.
Google is an engineering company at heart. We hire people with a broad set of technical skills who are ready to take on some of technology's greatest challenges and make an impact on users around the world. At Google, engineers not only revolutionize search, they routinely work on scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google Ads to Chrome, Android to YouTube, social to local, Google engineers are changing the world one technological achievement after another.
The US base salary range for this full-time position is $240,000-$338,000 + 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.
Responsibilities
- Perform analysis utilizing relevant tools (e.g., SQL, R, Python). Direct projects that combine analytical and organizational complexity towards clear, sound, and actionable decisions.
- Own projects end-to-end, covering problem definition, metrics development, data extraction and manipulation, visualization, creation, and implementation of analytical/statistical models, and presentation to stakeholders.
- Address ambiguous or new problems by using the capabilities of existing systems and collaborate to turn broad problems into work for the team.
- Oversee the integration of cross-functional and cross-organizational project/process timelines, drive improvements and recommendations, and define operational goals and objectives.
- Provide direction and accomplish results through leading/impacting the contributions of others.
MINIMUM QUALIFICATIONS
- Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
- 13 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) (or 10 years work experience plus a Master's degree).
PREFERRED QUALIFICATIONS
- Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
- 15 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL).
BENEFITS
In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:
- Health, dental, vision, life, disability insurance
- Retirement Benefits: 401(k) with company match
- Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
- Sick Time: 40 hours/year (statutory, where applicable); 5 days/event (discretionary)
- Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
- Baby Bonding Leave: 18 weeks
- Holidays: 13 paid days per year
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Kirkland, WA, USA; Sunnyvale, CA, USA.
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.
How to Get Visa Sponsorship as a Senior Staff Data Scientist
Target cap-exempt employers first
Universities, nonprofit research institutions, and affiliated teaching hospitals are exempt from the H-1B lottery. Senior Staff Data Scientists hired there skip the annual cap entirely, which eliminates the biggest uncertainty in the sponsorship timeline.
Align your degree to the role explicitly
USCIS requires a specialty occupation match. Statistics, computer science, mathematics, and applied ML degrees map cleanly. If your degree is in a different field, document how your coursework and industry experience directly support the data science function.
Ask about O-1A eligibility if you have a strong publication or patent record
Senior Staff scientists with published research, patents, or awards in machine learning or AI may qualify for O-1A extraordinary ability status. This visa has no lottery, no annual cap, and no nationality restrictions, making it a strong parallel path.
Prioritize employers with an established LCA filing history
Companies that have consistently filed Labor Condition Applications for data science roles already have internal sponsorship infrastructure. This shortens the process significantly compared to employers filing for the first time on your behalf.
Use Migrate Mate to filter for roles that explicitly support sponsorship
Filtering for Senior Staff Data Scientist roles with confirmed sponsorship on Migrate Mate removes the guesswork of cold applications. You can focus outreach on employers already prepared to file, which saves weeks in the job search process.
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Get Access To All JobsFrequently Asked Questions
Is Senior Staff Data Scientist a specialty occupation for H-1B purposes?
Yes. Senior Staff Data Scientist consistently meets the USCIS specialty occupation standard because the role normally requires at least a bachelor's degree in a specific technical field such as statistics, computer science, or applied mathematics. USCIS has approved thousands of H-1B petitions for data science titles at the senior level, and approval rates for this category run well above the overall H-1B average.
Which visa types do employers most commonly use to sponsor Senior Staff Data Scientists?
H-1B is the most common path, filed by employers after winning the annual lottery or through a cap-exempt institution. O-1A is increasingly used for scientists with strong research or publication records. Australians may qualify for the E-3 visa, which has no lottery. Canadians and Mexicans may qualify under the TN visa classification for computer systems analysts, though the TN match requires careful documentation at the senior staff level.
Does a three-year bachelor's degree qualify for H-1B sponsorship in this role?
It can, but it requires additional documentation. USCIS accepts three-year degrees from countries like Australia or India when combined with a credential evaluation confirming U.S. equivalency and relevant post-degree experience. Many employers working with senior hires have navigated this before, but you should confirm the employer's immigration counsel is familiar with three-year degree petitions before relying on this path.
How long does H-1B sponsorship typically take for this role?
Standard processing runs three to six months after USCIS receives the petition. Premium processing reduces USCIS adjudication to 15 business days for an additional fee, which most employers sponsoring senior technical hires will pay. Add two to four weeks for the employer to prepare the LCA and petition package before filing. If you're starting from outside the U.S., add consular appointment wait times on top of that.
Where can I find Senior Staff Data Scientist jobs that already sponsor visas?
Migrate Mate lists Senior Staff Data Scientist roles filtered specifically for visa sponsorship, so you're not sifting through postings that exclude international candidates. Employers on Migrate Mate have either confirmed sponsorship willingness or have an active LCA filing history for comparable roles, which means the outreach you do is far more likely to result in a real sponsorship conversation.
What is the prevailing wage requirement for sponsored Senior Staff Data Scientist jobs?
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.
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