Senior Data Science Engineer Visa Sponsorship Jobs in Washington
Washington is one of the strongest markets in the country for senior data science engineer roles with visa sponsorship. Microsoft, Amazon, and Meta anchor the Seattle-Redmond corridor, while companies like Expedia, T-Mobile, and a dense cluster of mid-size tech firms actively hire and sponsor across the Puget Sound region. Demand for this role spans e-commerce, cloud infrastructure, and enterprise AI.
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Get Access To All JobsINTRODUCTION
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 (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
- Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
- Baby Bonding Leave: 18 weeks
- Holidays: 13 paid days per year
MINIMUM QUALIFICATIONS:
- Bachelor’s degree in Data Science, Statistics, Computer Science, Economics, Business Administration (MBA), Quantitative Marketing or a related field and 11 years of progressive post-baccalaureate experience in the job offered or in a Business Scientist-related occupation.
- Alternatively, will accept a Master’s degree in Data Science, Statistics, Computer Science, Economics, Business Administration (MBA), Quantitative Marketing or a related field, and 9 years of experience in the job offered or in a Business Scientist-related occupation.
- Position requires 9 years of experience in the following: Application of quantitative methods to unstructured business challenges and complex, multi-dimensional datasets; Development of statistical algorithms or optimization models and methods; Establishment of data engineering pipelines or dashboarding for data visualization; Leading the strategic interpretation and presentation of complex statistical and machine learning outputs to senior business stakeholders, translating results into actionable insights to optimize global marketing spend and operational strategy; and Providing technical leadership and architectural oversight to a team of data scientists on the development, validation, and deployment of production-ready predictive models, including mentoring the team on best practices for coding, model versioning, and cloud-based ML platforms.
ABOUT THE JOB
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
The US base salary range for this full-time position is $240,000 - $334,000 + 25% bonus target + equity + benefits determined by role, level, and location. Individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Learn more about benefits at Google.
Position reports to the Google Seattle, WA office & may allow for a hybrid schedule as per Google policy.
Responsibilities
- Develop and deploy AI / GenAI algorithms and models to personalize platform capabilities for learners.
- Set the measurement strategy and oversee the creation of tools and dashboards to track solution deployment.
- Lead the analysis and interpretation of data, providing expert technical feedback to address analytical challenges.
- Direct the shift from tracking data to using OKRs to drive the right outcomes for the business; enabling best practices and data driven behaviors across CLS. Identify and lead the resolution of product gaps by analyzing user feedback and key metrics.
- Define team level OKRs and partner with Strategy & Operations and the leadership team around outcome driven measurements; bringing knowledge of the learning business into practice. Regional travel required more than 10% of the time.
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
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 (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
- Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
- Baby Bonding Leave: 18 weeks
- Holidays: 13 paid days per year
MINIMUM QUALIFICATIONS:
- Bachelor’s degree in Data Science, Statistics, Computer Science, Economics, Business Administration (MBA), Quantitative Marketing or a related field and 11 years of progressive post-baccalaureate experience in the job offered or in a Business Scientist-related occupation.
- Alternatively, will accept a Master’s degree in Data Science, Statistics, Computer Science, Economics, Business Administration (MBA), Quantitative Marketing or a related field, and 9 years of experience in the job offered or in a Business Scientist-related occupation.
- Position requires 9 years of experience in the following: Application of quantitative methods to unstructured business challenges and complex, multi-dimensional datasets; Development of statistical algorithms or optimization models and methods; Establishment of data engineering pipelines or dashboarding for data visualization; Leading the strategic interpretation and presentation of complex statistical and machine learning outputs to senior business stakeholders, translating results into actionable insights to optimize global marketing spend and operational strategy; and Providing technical leadership and architectural oversight to a team of data scientists on the development, validation, and deployment of production-ready predictive models, including mentoring the team on best practices for coding, model versioning, and cloud-based ML platforms.
ABOUT THE JOB
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
The US base salary range for this full-time position is $240,000 - $334,000 + 25% bonus target + equity + benefits determined by role, level, and location. Individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Learn more about benefits at Google.
Position reports to the Google Seattle, WA office & may allow for a hybrid schedule as per Google policy.
Responsibilities
- Develop and deploy AI / GenAI algorithms and models to personalize platform capabilities for learners.
- Set the measurement strategy and oversee the creation of tools and dashboards to track solution deployment.
- Lead the analysis and interpretation of data, providing expert technical feedback to address analytical challenges.
- Direct the shift from tracking data to using OKRs to drive the right outcomes for the business; enabling best practices and data driven behaviors across CLS. Identify and lead the resolution of product gaps by analyzing user feedback and key metrics.
- Define team level OKRs and partner with Strategy & Operations and the leadership team around outcome driven measurements; bringing knowledge of the learning business into practice. Regional travel required more than 10% of the time.
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 Washington
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Search Senior Data Science Engineer Jobs in WashingtonSenior Data Science Engineer Jobs in Washington: Frequently Asked Questions
Which companies sponsor visas for senior data science engineers in Washington?
Microsoft and Amazon are the most consistent sponsors for senior data science engineer roles in Washington, given their scale and established immigration programs. Beyond those two, Expedia, Tableau, T-Mobile, and Salesforce have active records of H-1B visa sponsorship in this role category. Biotech and healthcare companies in the greater Seattle area, including Adaptive Biotechnologies, also compete for senior data science talent and have sponsored visas in the past.
Which visa types are most common for senior data science engineer roles in Washington?
The H-1B is the most common visa for senior data science engineers in Washington. The role typically qualifies as a specialty occupation because it requires a bachelor's degree or higher in a specific field such as statistics, computer science, or a related discipline. Candidates with extraordinary achievement may pursue the O-1A. Australians may be eligible for the E-3 visa, which offers a similar pathway with no lottery requirement.
Which cities in Washington have the most senior data science engineer sponsorship jobs?
Seattle and Redmond account for the majority of senior data science engineer sponsorship jobs in Washington. Seattle's South Lake Union and Eastlake neighborhoods host a high concentration of tech and biotech employers, while Redmond is home to Microsoft's headquarters. Bellevue is a growing secondary hub, particularly as Amazon and other firms expand there. Smaller clusters exist in Kirkland and Bothell, often tied to cloud and life sciences employers.
How to find senior data science engineer visa sponsorship jobs in Washington?
Migrate Mate filters job listings specifically for roles offering visa sponsorship, making it easier to identify senior data science engineer positions in Washington without sorting through employers unlikely to sponsor. You can filter by state and role to see active listings from companies with a history of H-1B and other sponsorship activity in the Seattle-Redmond corridor. Focusing your search on employers who have filed Labor Condition Applications in Washington is a practical starting point.
Are there state-specific considerations for senior data science engineers seeking sponsorship in Washington?
Washington has no state income tax, which affects how prevailing wage calculations translate into take-home pay relative to other tech hubs. The Department of Labor sets prevailing wages for senior data science engineer roles at the county level, and King County wages are among the highest in the country for this occupation. The University of Washington's strong graduate programs in statistics and computer science also create a well-established pipeline that local employers actively recruit from.
What is the prevailing wage for sponsored senior data science engineer jobs in Washington?
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.