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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Amazon's Price Perception and Evaluation team is seeking a driven Data Scientist to harness planet scale multi-modal datasets, and navigate a continuously evolving competitor landscape, in order to build and scale an advanced self-learning scientific price estimation and product understanding system, regularly generating fresh customer-relevant prices on billions of Amazon and Third Party Seller products worldwide.
The Data Scientist will work closely with other research scientists, applied scientists, and SDEs to design and run experiments, conduct statistical analysis, research new algorithms, and find new ways to improve Seller Pricing to optimize the Customer experience. The Scientist will partner with technology and product leaders to solve business and technology problems using scientific approaches to build new services that surprise and delight our customers.
If you are a scientist who wants to work at the frontier of time series research, at a scale no academic lab or startup can match, and see your work deployed to real-world impact — this is the team for you.
Key job responsibilities
- Design and run rigorous experiments at scale to evaluate and improve foundation model performance across hundreds of millions of products, geographies, and business verticals
- Lead the end-to-end lifecycle of evaluation models — from research and experimentation through production launch — including defining success metrics, obtaining stakeholder sign-off, and managing rollout
- Conduct online and offline labs to measure the real-world impact of model improvements beyond accuracy, including downstream supply chain, inventory, and financial outcomes
- Develop and deploy production-grade statistical models using Python, Scala, SQL, and related tools
- Perform large-scale exploratory data analysis to uncover patterns, identify opportunities, and inform model development
- Translate complex research findings into clear insights and recommendations for technical and non-technical stakeholders at all levels
A day in the life
No two days look the same, but most will involve some combination of deep technical work, cross-functional collaboration, and scientific thinking at a scale you won't find anywhere else.
You might start the morning reviewing the results of an experiment running across hundreds of millions of products — analyzing whether a new foundation model variant is improving generalization on cold-start items, or whether a novel data generation approach is meaningfully shifting forecast quality. You'll dig into the numbers, form a hypothesis, and design the next iteration.
Later in the day, you could be in a stakeholder review, walking business and engineering partners through a set of launch metrics — explaining not just forecast accuracy, but the downstream supply chain and financial impact your model is driving. Getting a model to production at Amazon requires rigor: you'll define success criteria, run online and offline labs to validate real-world impact, and build the case for sign-off across technical and business stakeholders.
You'll write code — Python, Scala, SQL — to process and analyze data at a scale most scientists never encounter. You'll collaborate closely with scientists, engineers, and business teams, and contribute to research that has a real chance of being published and advancing the field.
BASIC QUALIFICATIONS
- 1+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 2+ years of data/research scientist, statistician or quantitative analyst in an internet-based company with complex and big data sources experience
- Bachelor's degree
PREFERRED QUALIFICATIONS
- Knowledge of statistical packages and business intelligence tools such as SPSS, SAS, S-PLUS, or R
- Experience with clustered data processing (e.g., Hadoop, Spark, Map-reduce, and Hive)
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, Seattle
COMPENSATION
- Salary Range: $108,300.00 - $160,000.00 USD annually
DESCRIPTION
Amazon's Price Perception and Evaluation team is seeking a driven Data Scientist to harness planet scale multi-modal datasets, and navigate a continuously evolving competitor landscape, in order to build and scale an advanced self-learning scientific price estimation and product understanding system, regularly generating fresh customer-relevant prices on billions of Amazon and Third Party Seller products worldwide.
The Data Scientist will work closely with other research scientists, applied scientists, and SDEs to design and run experiments, conduct statistical analysis, research new algorithms, and find new ways to improve Seller Pricing to optimize the Customer experience. The Scientist will partner with technology and product leaders to solve business and technology problems using scientific approaches to build new services that surprise and delight our customers.
If you are a scientist who wants to work at the frontier of time series research, at a scale no academic lab or startup can match, and see your work deployed to real-world impact — this is the team for you.
Key job responsibilities
- Design and run rigorous experiments at scale to evaluate and improve foundation model performance across hundreds of millions of products, geographies, and business verticals
- Lead the end-to-end lifecycle of evaluation models — from research and experimentation through production launch — including defining success metrics, obtaining stakeholder sign-off, and managing rollout
- Conduct online and offline labs to measure the real-world impact of model improvements beyond accuracy, including downstream supply chain, inventory, and financial outcomes
- Develop and deploy production-grade statistical models using Python, Scala, SQL, and related tools
- Perform large-scale exploratory data analysis to uncover patterns, identify opportunities, and inform model development
- Translate complex research findings into clear insights and recommendations for technical and non-technical stakeholders at all levels
A day in the life
No two days look the same, but most will involve some combination of deep technical work, cross-functional collaboration, and scientific thinking at a scale you won't find anywhere else.
You might start the morning reviewing the results of an experiment running across hundreds of millions of products — analyzing whether a new foundation model variant is improving generalization on cold-start items, or whether a novel data generation approach is meaningfully shifting forecast quality. You'll dig into the numbers, form a hypothesis, and design the next iteration.
Later in the day, you could be in a stakeholder review, walking business and engineering partners through a set of launch metrics — explaining not just forecast accuracy, but the downstream supply chain and financial impact your model is driving. Getting a model to production at Amazon requires rigor: you'll define success criteria, run online and offline labs to validate real-world impact, and build the case for sign-off across technical and business stakeholders.
You'll write code — Python, Scala, SQL — to process and analyze data at a scale most scientists never encounter. You'll collaborate closely with scientists, engineers, and business teams, and contribute to research that has a real chance of being published and advancing the field.
BASIC QUALIFICATIONS
- 1+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 2+ years of data/research scientist, statistician or quantitative analyst in an internet-based company with complex and big data sources experience
- Bachelor's degree
PREFERRED QUALIFICATIONS
- Knowledge of statistical packages and business intelligence tools such as SPSS, SAS, S-PLUS, or R
- Experience with clustered data processing (e.g., Hadoop, Spark, Map-reduce, and Hive)
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, Seattle
COMPENSATION
- Salary Range: $108,300.00 - $160,000.00 USD annually
Data Scientist Job Roles 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.