Data Science Engineer Jobs in Washington
Data Science Engineer jobs in Washington are among the most active in the country, concentrated in cloud computing, e-commerce, aerospace, and enterprise software across a seniority range from entry-level analysts through principal engineers. Seattle and its Eastside corridor, including Bellevue and Redmond, account for the largest share of openings, with employers like Amazon, Microsoft, and Boeing sustaining consistent demand. The most sought-after specialties in Washington are machine learning infrastructure, real-time data pipelines, and applied AI for recommendation and logistics systems. Find a role that fits below and apply directly.
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DESCRIPTION
We are seeking a talented Data Scientist to join our growing science team. In this role, you will leverage your analytical and technical expertise to extract valuable insights from complex datasets, develop machine learning models, and drive data-informed decision-making across the organization.
Key Responsibilities:
Design and execute end-to-end data science projects, from problem definition to solution deployment
Develop and implement machine learning models to solve business problems and improve operational efficiency
Create and maintain data pipelines for model training and deployment
Conduct exploratory data analysis to uncover patterns and trends
Collaborate with stakeholders to understand business requirements and translate them into technical solutions
Present findings and recommendations to technical and non-technical audiences
Monitor and optimize model performance
Key job responsibilities
We are looking for talented Data Scientists who are adept at predictive modeling, reinforcement learning, recommendations, and familiarity with LLMs, latent diffusion, or related foundational models that will accelerate our plans to dynamically optimize ad creatives on behalf of advertisers. Every member of the team is expected to build customer (advertiser) facing features, contribute to the collaborative spirit within the team, publish, patent, and raise the research bar within the team.
- Rapidly design, prototype and test many possible hypotheses in a high-ambiguity environment, perform hands-on analysis and modeling of enormous data sets to develop insights that improve shopper experiences and merchandise sales
- Drive end-to-end Machine Learning projects that have a high degree of ambiguity, scale, complexity.
- Build machine learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production; work closely with software engineers to assist in productionizing your ML models.
- Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving.
- Research new and innovative machine learning approaches.
- Promote the culture of experimentation and data science at Amazon
About the team
Our team, CreativeX Optimization, is responsible for personalizing the visual experience of ads in real time. We apply advanced machine learning and generative AI to help advertisers build, identify, and understand what ad creatives work with their audiences. We develop customized CTR and CVR prediction models to help advertisers efficiently connect with shoppers across the web. We develop generative models to understand shopper preferences across text, images, and videos. We have a broad mandate to experiment and innovate, as we seek to leapfrog the competition and impact billions of impressions daily.
BASIC QUALIFICATIONS
- 2+ years of data scientist experience
- 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
- 1+ years of guiding and coaching a group of researchers experience
- 1+ years of working with or evaluating AI systems experience
- 1+ years of creating or contributing to mathematical textbooks, research papers, or educational content experience
- Master's degree in Science, Technology, Engineering, or Mathematics (STEM), or experience working in Science, Technology, Engineering, or Mathematics (STEM)
- Experience applying theoretical models in an applied environment
PREFERRED QUALIFICATIONS
- Ph.D. in Science, Technology, Engineering, or Mathematics (STEM)
- Knowledge of machine learning concepts and their application to reasoning and problem-solving
- Experience in Python, Perl, or another scripting language
- Experience in a ML or data scientist role with a large technology company
- Experience in defining and creating benchmarks for assessing GenAI model performance
- Experience working on multi-team, cross-disciplinary projects
- Experience applying quantitative analysis to solve business problems and making data-driven business decisions
- Experience effectively communicating complex concepts through written and verbal communication
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.
USA, WA, SEATTLE - 136,000.00 - 184,000.00 USD annually
DESCRIPTION
We are seeking a talented Data Scientist to join our growing science team. In this role, you will leverage your analytical and technical expertise to extract valuable insights from complex datasets, develop machine learning models, and drive data-informed decision-making across the organization.
Key Responsibilities:
Design and execute end-to-end data science projects, from problem definition to solution deployment
Develop and implement machine learning models to solve business problems and improve operational efficiency
Create and maintain data pipelines for model training and deployment
Conduct exploratory data analysis to uncover patterns and trends
Collaborate with stakeholders to understand business requirements and translate them into technical solutions
Present findings and recommendations to technical and non-technical audiences
Monitor and optimize model performance
Key job responsibilities
We are looking for talented Data Scientists who are adept at predictive modeling, reinforcement learning, recommendations, and familiarity with LLMs, latent diffusion, or related foundational models that will accelerate our plans to dynamically optimize ad creatives on behalf of advertisers. Every member of the team is expected to build customer (advertiser) facing features, contribute to the collaborative spirit within the team, publish, patent, and raise the research bar within the team.
- Rapidly design, prototype and test many possible hypotheses in a high-ambiguity environment, perform hands-on analysis and modeling of enormous data sets to develop insights that improve shopper experiences and merchandise sales
- Drive end-to-end Machine Learning projects that have a high degree of ambiguity, scale, complexity.
- Build machine learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production; work closely with software engineers to assist in productionizing your ML models.
- Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving.
- Research new and innovative machine learning approaches.
- Promote the culture of experimentation and data science at Amazon
About the team
Our team, CreativeX Optimization, is responsible for personalizing the visual experience of ads in real time. We apply advanced machine learning and generative AI to help advertisers build, identify, and understand what ad creatives work with their audiences. We develop customized CTR and CVR prediction models to help advertisers efficiently connect with shoppers across the web. We develop generative models to understand shopper preferences across text, images, and videos. We have a broad mandate to experiment and innovate, as we seek to leapfrog the competition and impact billions of impressions daily.
BASIC QUALIFICATIONS
- 2+ years of data scientist experience
- 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
- 1+ years of guiding and coaching a group of researchers experience
- 1+ years of working with or evaluating AI systems experience
- 1+ years of creating or contributing to mathematical textbooks, research papers, or educational content experience
- Master's degree in Science, Technology, Engineering, or Mathematics (STEM), or experience working in Science, Technology, Engineering, or Mathematics (STEM)
- Experience applying theoretical models in an applied environment
PREFERRED QUALIFICATIONS
- Ph.D. in Science, Technology, Engineering, or Mathematics (STEM)
- Knowledge of machine learning concepts and their application to reasoning and problem-solving
- Experience in Python, Perl, or another scripting language
- Experience in a ML or data scientist role with a large technology company
- Experience in defining and creating benchmarks for assessing GenAI model performance
- Experience working on multi-team, cross-disciplinary projects
- Experience applying quantitative analysis to solve business problems and making data-driven business decisions
- Experience effectively communicating complex concepts through written and verbal communication
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.
USA, WA, SEATTLE - 136,000.00 - 184,000.00 USD annually
See All 39 Data Science Engineer Jobs in Washington
Find roles in Washington that match your experience and apply in just a few clicks.
Find Data Science Engineer JobsData Science Engineer Jobs by City in Washington
Where Washington roles are concentrated, by current openings.
Data Science Engineer Job Market in Washington
A snapshot from current Washington openings, updated as new roles post.
Who's Hiring
- Amazon17
- Microsoft4
- Amazon Web Services3
- Adobe2
- Walmart2
Top Industries Hiring
- Retail
- Technology & Software
- E-Commerce & Online Marketplaces
- Consulting & Professional Services
- News & Publishing
What Washington Employers Look For
The qualifications that appear most often in data science engineer jobs across Washington.
- Bachelor's or master's degree in computer science, statistics, or a closely related field
- Proficiency in Python and SQL with hands-on experience building production data pipelines
- Experience designing and deploying machine learning models in cloud environments such as AWS or Azure
- Familiarity with distributed computing frameworks including Spark or Hadoop for large-scale data processing
- Strong understanding of MLOps practices including model versioning, monitoring, and CI/CD for ML systems
- Demonstrated ability to collaborate with product and engineering teams to translate business problems into data solutions
Data Science Engineer Jobs in Washington: Frequently Asked Questions
How do you become a data science engineer in Washington?
Data science engineering in Washington does not require a state-issued license or registration, so the path runs through education and demonstrated technical skill. Most Washington employers expect at least a bachelor's degree in computer science, applied mathematics, or statistics, and many prefer a master's for senior roles. Building a portfolio of end-to-end ML projects, contributing to open-source data tooling, and targeting internships or rotational programs at Washington's large tech employers are the most reliable ways into the field.
How much do data science engineers make in Washington?
Data science engineers in Washington earn a median of about $163,350 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $79,930 for the lowest 10% to over $220,040 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire data science engineers in Washington?
Employers hiring data science engineers in Washington right now include Amazon, Microsoft, and Amazon Web Services, based on current listings on Migrate Mate as of August 2026. Washington's concentration of cloud and e-commerce headquarters means many of these roles involve large-scale distributed systems and real-time inference pipelines.
Which Washington cities have the most data science engineer jobs?
Seattle, Bellevue, and Redmond have the most data science engineer openings in Washington. Seattle anchors demand through its dense cluster of tech headquarters and high-growth startups, while Bellevue and Redmond draw substantial hiring from large enterprise campuses, making the greater Eastside corridor a secondary concentration that rivals many other states' entire markets.
Are there remote data science engineer jobs in Washington?
Yes, and more than most fields. About 80% of data science engineer openings tied to Washington are remote or hybrid as of August 2026, reflecting the role's analytical and software-driven nature. Work involving model experimentation, feature engineering, and dashboard development transfers well to remote settings, while roles tied to proprietary on-premises data infrastructure or close collaboration with hardware teams are more likely to require an in-office presence.
How can I get hired as a data science engineer in Washington with little or no experience?
The most realistic entry path is targeting associate or junior data engineer roles at Washington's mid-size cloud and SaaS companies, where scope is narrower and mentorship more accessible than at large tech firms. Amazon and Microsoft both run structured new-graduate and university-hire programs that place candidates into data and ML engineering rotations. Building a GitHub portfolio with end-to-end pipeline and modeling projects, and pursuing roles with titles like data analyst or analytics engineer first, are the credentials and lateral moves that open the door most reliably in Washington's market.
Where can I find and apply to data science engineer jobs in Washington?
You can find and apply to data science engineer jobs in Washington on Migrate Mate, which lists current openings across the state. Find the roles that fit your experience and specialization and apply directly.
See All 39 Data Science Engineer Jobs in Washington
Find roles in Washington that match your experience and apply in just a few clicks.
Find Data Science Engineer Jobs