Data Manager Visa Sponsorship Jobs in Washington
Washington state is a strong market for data manager roles, with major employers like Microsoft, Amazon, Boeing, and Providence Health concentrating hiring across Seattle, Redmond, and Bellevue. The state's dense tech sector and growing healthcare and aerospace industries generate consistent demand for data managers, making it one of the more active states for visa sponsorship in this field.
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Do you enjoy solving complex, ambiguous problems with data and turning insights into business impact? Amazon is looking for a Data Scientist III to join a team where your analytical expertise will directly shape strategy and drive measurable outcomes. In this role, you will lead the design and delivery of data science solutions across large-scale projects, working with cross-functional partners to unlock new opportunities. You will bring broad expertise in machine learning, statistics, and scientific research to recommend the right approaches, build actionable models, and influence how your team tackles its most important challenges. If you are a collaborative, curious problem-solver who thrives on turning data into decisions, we want to hear from you.
Key job responsibilities
- Lead the design, implementation, and delivery of data science solutions for complex or ambiguous business problems, selecting appropriate machine learning and statistical methods to maximize impact.
- Build, train, and evaluate machine learning models (e.g., classification, regression, clustering) using tools such as Python, R, and SQL, and apply advanced techniques including generative AI where appropriate.
- Partner with cross-functional teams to translate business questions into rigorous analytical frameworks, and communicate findings that influence team and organizational strategy.
- Drive data science best practices and set standards for your team, including reviewing analyses, data modeling processes, and results produced by peers, and providing constructive feedback.
- Mentor and develop other data scientists in your organization, share knowledge of emerging methods and techniques, and contribute to internal enablement through presentations and documentation.
A day in the life
You might start your morning reviewing experiment results or refining a model you have been iterating on, then join a working session with engineers and product partners to align on how your analysis will inform an upcoming launch. After lunch, you could be exploring a new dataset, prototyping a novel approach, or writing up findings for a broader audience. Throughout the day, you will balance hands-on technical work with mentoring teammates and collaborating across groups to ensure your solutions address real business needs.
About the team
Our team is passionate about using data science to solve meaningful problems at Amazon scale. We value collaboration, intellectual curiosity, and a commitment to building solutions that are rigorous, reproducible, and actionable. Whether you are developing new models, mentoring colleagues, or partnering with stakeholders to shape strategy, you will be part of a group that invests in your growth and celebrates creative problem-solving. We are focused on building an inclusive environment where every voice contributes to our shared mission.
BASIC QUALIFICATIONS
- Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science
- 4+ years of data scientist experience
- 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- Experience with statistical models e.g. multinomial logistic regression
PREFERRED QUALIFICATIONS
- 2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experience
- Experience managing data pipelines
- Knowledge of AWS tech stack (e.g., AWS Redshift, S3, EC2, Glue)
- Master's degree in econometrics, statistics, industrial engineering, operations research, optimization, data mining, analytics, or equivalent quantitative field
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
LOCATION
USA, WA, Bellevue
COMPENSATION
- Salary Range: 159,200.00 - 215,300.00 USD annually
DESCRIPTION
Do you enjoy solving complex, ambiguous problems with data and turning insights into business impact? Amazon is looking for a Data Scientist III to join a team where your analytical expertise will directly shape strategy and drive measurable outcomes. In this role, you will lead the design and delivery of data science solutions across large-scale projects, working with cross-functional partners to unlock new opportunities. You will bring broad expertise in machine learning, statistics, and scientific research to recommend the right approaches, build actionable models, and influence how your team tackles its most important challenges. If you are a collaborative, curious problem-solver who thrives on turning data into decisions, we want to hear from you.
Key job responsibilities
- Lead the design, implementation, and delivery of data science solutions for complex or ambiguous business problems, selecting appropriate machine learning and statistical methods to maximize impact.
- Build, train, and evaluate machine learning models (e.g., classification, regression, clustering) using tools such as Python, R, and SQL, and apply advanced techniques including generative AI where appropriate.
- Partner with cross-functional teams to translate business questions into rigorous analytical frameworks, and communicate findings that influence team and organizational strategy.
- Drive data science best practices and set standards for your team, including reviewing analyses, data modeling processes, and results produced by peers, and providing constructive feedback.
- Mentor and develop other data scientists in your organization, share knowledge of emerging methods and techniques, and contribute to internal enablement through presentations and documentation.
A day in the life
You might start your morning reviewing experiment results or refining a model you have been iterating on, then join a working session with engineers and product partners to align on how your analysis will inform an upcoming launch. After lunch, you could be exploring a new dataset, prototyping a novel approach, or writing up findings for a broader audience. Throughout the day, you will balance hands-on technical work with mentoring teammates and collaborating across groups to ensure your solutions address real business needs.
About the team
Our team is passionate about using data science to solve meaningful problems at Amazon scale. We value collaboration, intellectual curiosity, and a commitment to building solutions that are rigorous, reproducible, and actionable. Whether you are developing new models, mentoring colleagues, or partnering with stakeholders to shape strategy, you will be part of a group that invests in your growth and celebrates creative problem-solving. We are focused on building an inclusive environment where every voice contributes to our shared mission.
BASIC QUALIFICATIONS
- Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science
- 4+ years of data scientist experience
- 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- Experience with statistical models e.g. multinomial logistic regression
PREFERRED QUALIFICATIONS
- 2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experience
- Experience managing data pipelines
- Knowledge of AWS tech stack (e.g., AWS Redshift, S3, EC2, Glue)
- Master's degree in econometrics, statistics, industrial engineering, operations research, optimization, data mining, analytics, or equivalent quantitative field
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
LOCATION
USA, WA, Bellevue
COMPENSATION
- Salary Range: 159,200.00 - 215,300.00 USD annually
Data Manager Job Roles in Washington
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Search Data Manager Jobs in WashingtonData Manager Jobs in Washington: Frequently Asked Questions
Which companies sponsor visas for data managers in Washington?
Microsoft, Amazon, Boeing, Tableau (a Salesforce company), Expedia Group, and Providence Health are among the Washington employers with documented histories of sponsoring work visas for data-related roles. Large tech and healthcare organizations in the Seattle metro tend to have established immigration programs, which generally makes them more willing and equipped to sponsor data manager positions than smaller firms.
Which visa types are most common for data manager roles in Washington?
The H-1B visa is the most common visa category for data manager roles in Washington, as the position typically requires a bachelor's degree or higher in a field like computer science, information systems, or statistics, meeting the specialty occupation standard. Candidates with extraordinary ability may qualify for the O-1A. Australians working in this field may also have access to the E-3 visa, which has no lottery and is easier to obtain than the H-1B visa.
Which cities in Washington have the most data manager sponsorship jobs?
Seattle and its surrounding suburbs, including Redmond, Bellevue, and Kirkland, account for the overwhelming majority of data manager sponsorship opportunities in Washington. This concentration reflects the presence of major tech employers headquartered or operating in the region. Spokane sees some activity driven by healthcare systems and regional universities, but the Seattle metro is by far the primary market for sponsored data manager roles.
How to find data manager visa sponsorship jobs in Washington?
Migrate Mate is built specifically for international candidates and filters job listings by visa sponsorship availability, making it straightforward to search for data manager roles in Washington without wading through positions that won't support work authorization. You can filter by state, role type, and visa category to surface employers actively hiring for sponsored data manager positions across Seattle, Bellevue, and other Washington markets.
Are there any Washington-specific factors that affect data manager visa sponsorship?
Washington's high concentration of large tech employers means many companies already have immigration counsel in place, which generally streamlines the sponsorship process compared to states with fewer established tech firms. The Department of Labor's prevailing wage requirements apply to all sponsored roles, and Washington's tech-heavy labor market typically places data manager positions at higher wage tiers, which employers must meet when filing a Labor Condition Application for H-1B sponsorship.
What is the prevailing wage for sponsored data 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.