Data Scientist Visa Sponsorship Jobs in Washington
Data scientist visa sponsorship jobs in Washington are concentrated in the Seattle metro area, where Microsoft, Amazon, and a dense cluster of tech firms and cloud computing companies actively hire international talent. Bellevue, Redmond, and Seattle proper account for the vast majority of sponsorship activity, with additional opportunities in Spokane and university-adjacent research roles.
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Get Access To All JobsAt Expedia Group, we help travelers explore the world, one journey at a time. As a global travel company powered by passionate people, trusted partnerships, and leading technology, we connect travelers, partners, and advertisers through our consumer brands, B2B network, and travel advertising business.
Here, you'll do meaningful work that helps millions of people discover, book, and experience travel with more ease, confidence, and joy. Our five Behaviors - Traveler First, Think Big, Operate with Excellence, Ownership Mindset, and Succeed Together - help foster a supportive environment where people can grow their careers and have the flexibility, benefits, and support to do their best work. Join us and build for travelers everywhere.
Senior Manager, Data Scientist - Growth Marketing
A senior data science leader who sets and owns the analytics and measurement strategy for SPP, leads a team of data scientists, and provides thought leadership on the most complex, ambiguous problems facing the channel — cross-channel performance drivers, innovative measurement, and automation of data-heavy recurring processes. Operates with a high degree of autonomy, defines the problems worth solving rather than executing pre-scoped tasks, and regularly influences stakeholders through VP/SVP level. Directly manages, coaches, and develops a team of ~3 data scientists (each one level junior), setting technical standards and prioritizing the team’s roadmap against business impact.
Experience & Qualifications:
- PhD, Masters, or Bachelors, preferably in a quantitative or scientific field (Mathematics, Statistics, Economics, Computer Science, Physics, or similar).
- 7+ years in data science / advanced analytics, including 2+ years directly managing or formally leading data scientists or analysts. Comparable leadership experience will be considered in lieu of formal management tenure.
- Proven track record of delivering data-driven insights and measurement solutions that changed business decisions or drove performance improvement, across multiple domains and senior stakeholders.
- Advanced, production-grade experience with Python, R, or SQL for analysis, transformation, modeling, and visualization of large datasets.
- Preferred: marketing, media, or performance-marketing measurement experience (paid social, programmatic, CTV, digital audio, paid app), and familiarity with incrementality and causal measurement.
Functional / Technical Skills
- People leadership: coaching, performance management, hiring, career development, and technical mentorship.
- Strategic thinking and the ability to operate and lead a team through ambiguity.
- Advanced statistics: frequentist and Bayesian methods, experimental design, regression, causal inference.
- Machine learning theory and applied practice.
- Data engineering fundamentals: pipelines, automation, scalable dashboards.
- Stakeholder influence and communication at senior (Director / VP / SVP) levels.
- Storytelling and data visualization for both technical and non-technical audiences.
- Strong business acumen and domain judgment.
In this role, you will:
People Leadership & Team Development
- Directly manages a team of ~3 data scientists (each one level junior), owning hiring, onboarding, performance management, and career development.
- Sets technical standards, review practices, and ways of working for the team; establishes code review, reproducibility, and documentation norms.
- Coaches team members on statistical technique, modeling, experimentation, and stakeholder communication, and creates development paths that stretch each individual.
- Allocates team capacity against a prioritized roadmap, balancing strategic bets, BAU measurement, and stakeholder demand; protects the team from low-value order-taking.
- Builds a collaborative, transparent, and inclusive team culture; represents the team’s work and needs to senior leadership.
Strategy & Handling Ambiguity
- Defines the analytics and measurement strategy for SPP and translates ambiguous, loosely-defined business goals into structured analytical programs with clear objectives and phased delivery.
- Frames complex, open-ended business problems as tractable analytics problems and sequences them into manageable workstreams for the team.
- Makes independent judgment calls on scope, method, and level of effort with limited direction; solves for the underlying objective, not the literal ask.
- Anticipates emerging measurement and performance questions before they are raised and proactively shapes the team’s agenda around them.
Thought Leadership — Cross-Channel Performance & Innovative Measurement
- Provides thought leadership on cross-channel performance drivers across paid social, programmatic display & video, CTV, digital audio, and paid app, spanning BEX, HCOM, and VRBO.
- Advances the measurement toolkit — incrementality, causal impact, geo experiments, media mix / multi-touch approaches, uncertainty-aware and multi-armed bandit methods — and selects the right technique for each question, articulating trade-offs between simpler and more complex approaches.
- Critically evaluates new methods, tools, and datasets, pilots promising ones, and scales what works into repeatable practice.
- Partners with Machine Learning / Data Science and measurement teams to validate and scale models for maximum business value.
- Sets the standard for interpreting model output correctly, iterating, and distinguishing statistically significant readouts from exploratory analysis.
Automation & Data Engineering
- Owns the automation strategy for the team’s data-heavy recurring processes — weekly, monthly, and quarterly reporting (WBR / MBR / QBR) — reducing manual effort and freeing capacity for higher-value analysis.
- Directs the design of scalable dashboards and scheduled reporting covering multiple scenarios (geo, web and app, brand), and empowers stakeholders with self-serve access and training.
- Guides the team in building shareable, efficient, well-documented code and data pipelines; champions reproducibility via tools such as GitHub and Confluence.
- Applies and enforces best practices for data quality, query cost and performance optimization, and integration across disparate sources.
- Writes and reviews advanced SQL (views, tables, partitions, window functions such as RANK() OVER / PARTITION BY) and works fluently across SQL flavors and querying tools; knows the most important data sources for SPP and the wider business and how to unblock data issues to resolution.
Stakeholder Engagement & Communication
- Regularly interacts with and influences stakeholders through VP/SVP level; builds trust and works transparently across the business.
- Independently articulates project goals, methodology, caveats, and conclusions to technical and non-technical audiences, tailoring executive summaries and presentations to the audience’s goals and technical level.
- Tells a clear, concise story and presents insight rather than data; creates the right artifacts (technical documentation, presentations, executive summaries) for the right forum.
- Identifies and engages domain experts and stakeholders early to sharpen the business question, feature selection, and relevance of outputs.
- Not easily deterred by organizational barriers to sharing results or effecting change; follows through to impact.
The total cash range for this position in Seattle is $173,000.00 to $242,500.00. Employees in this role have the potential to increase their pay up to $277,000.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role.
Starting pay for this role will vary based on multiple factors, including location, available budget, and an individual’s knowledge, skills, and experience. Pay ranges may be modified in the future.
Benefits and perks
Expedia Group offers benefits and perks designed to support employees and their families, including medical, dental, and vision coverage, paid time off, an Employee Assistance Program, wellness and travel reimbursement, travel discounts, and International Airlines Travel Agent Network (IATAN) membership.
Accommodation requests
Expedia Group is committed to providing an inclusive and accessible recruiting experience. If you need an accommodation or adjustment due to a disability during the application or recruiting process, please submit a request.
About Expedia Group
Expedia Group includes three flagship consumer brands - Expedia, Hotels.com, and Vrbo - along with a leading B2B travel business and travel advertising offerings. Across our brands and business, we help travelers explore the world with confidence and ease.
Important notice
Employment opportunities and job offers at Expedia Group will always come from Expedia Group's Talent Acquisition and hiring teams. Never share sensitive personal information unless you are confident of the recipient. Expedia Group does not extend job offers via email or messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official place to find and apply for roles is the careers page.
Equal Opportunity
Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or any other characteristic protected by law. This employer participates in E-Verify. The employer will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee's I-9 to confirm work authorization.
At Expedia Group, we help travelers explore the world, one journey at a time. As a global travel company powered by passionate people, trusted partnerships, and leading technology, we connect travelers, partners, and advertisers through our consumer brands, B2B network, and travel advertising business.
Here, you'll do meaningful work that helps millions of people discover, book, and experience travel with more ease, confidence, and joy. Our five Behaviors - Traveler First, Think Big, Operate with Excellence, Ownership Mindset, and Succeed Together - help foster a supportive environment where people can grow their careers and have the flexibility, benefits, and support to do their best work. Join us and build for travelers everywhere.
Senior Manager, Data Scientist - Growth Marketing
A senior data science leader who sets and owns the analytics and measurement strategy for SPP, leads a team of data scientists, and provides thought leadership on the most complex, ambiguous problems facing the channel — cross-channel performance drivers, innovative measurement, and automation of data-heavy recurring processes. Operates with a high degree of autonomy, defines the problems worth solving rather than executing pre-scoped tasks, and regularly influences stakeholders through VP/SVP level. Directly manages, coaches, and develops a team of ~3 data scientists (each one level junior), setting technical standards and prioritizing the team’s roadmap against business impact.
Experience & Qualifications:
- PhD, Masters, or Bachelors, preferably in a quantitative or scientific field (Mathematics, Statistics, Economics, Computer Science, Physics, or similar).
- 7+ years in data science / advanced analytics, including 2+ years directly managing or formally leading data scientists or analysts. Comparable leadership experience will be considered in lieu of formal management tenure.
- Proven track record of delivering data-driven insights and measurement solutions that changed business decisions or drove performance improvement, across multiple domains and senior stakeholders.
- Advanced, production-grade experience with Python, R, or SQL for analysis, transformation, modeling, and visualization of large datasets.
- Preferred: marketing, media, or performance-marketing measurement experience (paid social, programmatic, CTV, digital audio, paid app), and familiarity with incrementality and causal measurement.
Functional / Technical Skills
- People leadership: coaching, performance management, hiring, career development, and technical mentorship.
- Strategic thinking and the ability to operate and lead a team through ambiguity.
- Advanced statistics: frequentist and Bayesian methods, experimental design, regression, causal inference.
- Machine learning theory and applied practice.
- Data engineering fundamentals: pipelines, automation, scalable dashboards.
- Stakeholder influence and communication at senior (Director / VP / SVP) levels.
- Storytelling and data visualization for both technical and non-technical audiences.
- Strong business acumen and domain judgment.
In this role, you will:
People Leadership & Team Development
- Directly manages a team of ~3 data scientists (each one level junior), owning hiring, onboarding, performance management, and career development.
- Sets technical standards, review practices, and ways of working for the team; establishes code review, reproducibility, and documentation norms.
- Coaches team members on statistical technique, modeling, experimentation, and stakeholder communication, and creates development paths that stretch each individual.
- Allocates team capacity against a prioritized roadmap, balancing strategic bets, BAU measurement, and stakeholder demand; protects the team from low-value order-taking.
- Builds a collaborative, transparent, and inclusive team culture; represents the team’s work and needs to senior leadership.
Strategy & Handling Ambiguity
- Defines the analytics and measurement strategy for SPP and translates ambiguous, loosely-defined business goals into structured analytical programs with clear objectives and phased delivery.
- Frames complex, open-ended business problems as tractable analytics problems and sequences them into manageable workstreams for the team.
- Makes independent judgment calls on scope, method, and level of effort with limited direction; solves for the underlying objective, not the literal ask.
- Anticipates emerging measurement and performance questions before they are raised and proactively shapes the team’s agenda around them.
Thought Leadership — Cross-Channel Performance & Innovative Measurement
- Provides thought leadership on cross-channel performance drivers across paid social, programmatic display & video, CTV, digital audio, and paid app, spanning BEX, HCOM, and VRBO.
- Advances the measurement toolkit — incrementality, causal impact, geo experiments, media mix / multi-touch approaches, uncertainty-aware and multi-armed bandit methods — and selects the right technique for each question, articulating trade-offs between simpler and more complex approaches.
- Critically evaluates new methods, tools, and datasets, pilots promising ones, and scales what works into repeatable practice.
- Partners with Machine Learning / Data Science and measurement teams to validate and scale models for maximum business value.
- Sets the standard for interpreting model output correctly, iterating, and distinguishing statistically significant readouts from exploratory analysis.
Automation & Data Engineering
- Owns the automation strategy for the team’s data-heavy recurring processes — weekly, monthly, and quarterly reporting (WBR / MBR / QBR) — reducing manual effort and freeing capacity for higher-value analysis.
- Directs the design of scalable dashboards and scheduled reporting covering multiple scenarios (geo, web and app, brand), and empowers stakeholders with self-serve access and training.
- Guides the team in building shareable, efficient, well-documented code and data pipelines; champions reproducibility via tools such as GitHub and Confluence.
- Applies and enforces best practices for data quality, query cost and performance optimization, and integration across disparate sources.
- Writes and reviews advanced SQL (views, tables, partitions, window functions such as RANK() OVER / PARTITION BY) and works fluently across SQL flavors and querying tools; knows the most important data sources for SPP and the wider business and how to unblock data issues to resolution.
Stakeholder Engagement & Communication
- Regularly interacts with and influences stakeholders through VP/SVP level; builds trust and works transparently across the business.
- Independently articulates project goals, methodology, caveats, and conclusions to technical and non-technical audiences, tailoring executive summaries and presentations to the audience’s goals and technical level.
- Tells a clear, concise story and presents insight rather than data; creates the right artifacts (technical documentation, presentations, executive summaries) for the right forum.
- Identifies and engages domain experts and stakeholders early to sharpen the business question, feature selection, and relevance of outputs.
- Not easily deterred by organizational barriers to sharing results or effecting change; follows through to impact.
The total cash range for this position in Seattle is $173,000.00 to $242,500.00. Employees in this role have the potential to increase their pay up to $277,000.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role.
Starting pay for this role will vary based on multiple factors, including location, available budget, and an individual’s knowledge, skills, and experience. Pay ranges may be modified in the future.
Benefits and perks
Expedia Group offers benefits and perks designed to support employees and their families, including medical, dental, and vision coverage, paid time off, an Employee Assistance Program, wellness and travel reimbursement, travel discounts, and International Airlines Travel Agent Network (IATAN) membership.
Accommodation requests
Expedia Group is committed to providing an inclusive and accessible recruiting experience. If you need an accommodation or adjustment due to a disability during the application or recruiting process, please submit a request.
About Expedia Group
Expedia Group includes three flagship consumer brands - Expedia, Hotels.com, and Vrbo - along with a leading B2B travel business and travel advertising offerings. Across our brands and business, we help travelers explore the world with confidence and ease.
Important notice
Employment opportunities and job offers at Expedia Group will always come from Expedia Group's Talent Acquisition and hiring teams. Never share sensitive personal information unless you are confident of the recipient. Expedia Group does not extend job offers via email or messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official place to find and apply for roles is the careers page.
Equal Opportunity
Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or any other characteristic protected by law. This employer participates in E-Verify. The employer will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee's I-9 to confirm work authorization.
Data Scientist Job Roles in Washington
See all 311+ Data Scientist Jobs in Washington
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Search Data Scientist Jobs in WashingtonData Scientist Jobs in Washington: Frequently Asked Questions
Which companies sponsor visas for data scientists in Washington?
Microsoft, Amazon, and Google are among the most active sponsors of data scientist roles in Washington, particularly in the Seattle and Redmond corridor. Boeing and Expedia also appear regularly in Department of Labor disclosure data for data science positions. Biotech firms like Adaptive Biotechnologies and numerous cloud-infrastructure startups in the greater Seattle area have established sponsorship track records as well.
Which visa types are most common for data scientist roles in Washington?
The H-1B visa is the most widely used visa for data scientists in Washington, given that data science meets the specialty occupation standard requiring at least a bachelor's degree in a directly related field such as statistics, computer science, or applied mathematics. Candidates from Australia may qualify for the E-3 visa, and Canadian and Mexican nationals often use the TN visa under the mathematician or computer systems analyst categories, depending on role scope.
Which cities in Washington have the most data scientist sponsorship jobs?
Seattle accounts for the largest share of data scientist sponsorship activity in Washington, followed closely by Redmond and Bellevue, where Microsoft and a concentration of mid-size tech companies are headquartered. Kirkland has grown as a secondary hub with Google's expanding local presence. Spokane sees smaller but consistent demand, often tied to healthcare systems and Washington State University's research partnerships.
How to find data scientist visa sponsorship jobs in Washington?
Migrate Mate is built specifically for international job seekers looking for visa-sponsored data scientist roles in Washington. You can filter jobs by state and role to see positions where employers have an active sponsorship history, which removes the uncertainty of applying to companies that rarely sponsor. Focusing your search on the Seattle metro and filtering by employer size gives you the best starting point for relevant, sponsorship-confirmed listings.
Are there state-specific considerations for data scientists seeking sponsorship in Washington?
Washington has no state income tax, which affects how prevailing wage calculations translate to take-home pay, though the Department of Labor sets H-1B prevailing wages at the federal level regardless. The University of Washington produces a large pipeline of graduate-level data science talent, meaning employer sponsorship programs are well-established and hiring teams are generally familiar with H-1B and OPT-to-H-1B transitions. Competition is high, particularly in the Seattle metro.
What is the prevailing wage for sponsored data scientist 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.