Data Science Manager Visa Sponsorship Jobs in Washington
Washington state is one of the most active markets for data science manager visa sponsorship in the country, driven by the concentration of major tech employers in the Seattle metro area. Microsoft, Amazon, and a growing cluster of AI-focused companies in Bellevue and Redmond regularly hire and sponsor international candidates for senior data leadership roles.
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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.
Data Science Manager Job Roles in Washington
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Search Data Science Manager Jobs in WashingtonData Science Manager Jobs in Washington: Frequently Asked Questions
Which companies sponsor visas for data science managers in Washington?
Microsoft, Amazon, and Google are among the most active sponsors for data science manager roles in Washington, particularly in the Seattle and Bellevue metro areas. Beyond big tech, companies like Expedia, Tableau (now part of Salesforce), and T-Mobile have also filed sponsorship petitions for senior data roles. Biotech and healthcare firms in the greater Seattle area, including Providence Health and UW Medicine, represent a smaller but consistent pipeline.
Which visa types are most common for data science manager roles in Washington?
The H-1B visa is the most common visa category for data science manager roles in Washington, given that the position typically requires a bachelor's degree or higher in a specific technical field such as computer science, statistics, or a related discipline. Candidates already holding L-1A or L-1B status through multinational employers like Microsoft or Amazon sometimes transition into data leadership roles without entering the H-1B lottery. O-1A petitions are filed for candidates with demonstrated extraordinary ability in data science or AI.
Which cities in Washington have the most data science manager sponsorship jobs?
Seattle accounts for the largest share of data science manager sponsorship activity in Washington, followed closely by Bellevue and Redmond, where Microsoft's headquarters and several Amazon divisions are based. Kirkland has a growing presence driven by Google's offices there. Outside the Eastside corridor, Bothell attracts biotech and life sciences data roles, while Spokane has a smaller but emerging tech hiring base tied to regional universities.
How to find data science manager visa sponsorship jobs in Washington?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it easier to identify data science manager openings in Washington without sorting through roles that don't offer sponsorship. Because data science manager positions in Washington are concentrated among a relatively small set of large tech and biotech employers, filtering by sponsorship history and location on Migrate Mate can significantly narrow your search to genuinely relevant opportunities.
Are there any state-specific considerations for data science manager sponsorship in Washington?
Washington has no state income tax, which affects the prevailing wage calculations employers use when filing Labor Condition Applications for H-1B sponsorship, since compensation structures here often differ from states with higher tax burdens. The University of Washington in Seattle produces a significant pipeline of graduate-level data science talent, and employers familiar with that pipeline tend to have established sponsorship workflows. Washington's strong employer base for tech and life sciences means sponsorship infrastructure is generally more developed here than in smaller markets.
What is the prevailing wage for sponsored data science manager 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.