Senior Data Science Engineer Jobs in Washington
Senior Data Science Engineer jobs in Washington are among the most active in the country, concentrated in cloud computing, enterprise software, healthcare analytics, and aerospace, with demand at every level from early-career data scientists through principal and staff engineers. Seattle anchors the market, with Bellevue and Redmond rounding out the primary hiring zones, where companies like Microsoft, Amazon, and Boeing maintain large, established data science organizations. Machine learning infrastructure, MLOps, and natural language processing are the most consistently sought specialties across Washington's open roles. Find a role that fits below and apply directly.
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Showing 5 of 39+ Senior Data Science Engineer jobs
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 Senior Data Science Engineer Jobs in Washington
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Find JobsSenior Data Science Engineer Jobs by City in Washington
Where Washington roles are concentrated, by current openings.
Senior 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 senior data science engineer jobs across Washington.
- Bachelor's or master's degree in computer science, statistics, or a closely related field
- Five or more years of experience in data science, machine learning, or applied research
- Proficiency in Python and SQL with production-level model deployment experience
- Demonstrated experience with cloud platforms such as Azure, AWS, or Google Cloud
- Ability to lead cross-functional projects and mentor junior data science team members
- Experience with distributed computing frameworks such as Spark or Databricks at scale
Senior Data Science Engineer Jobs in Washington: Frequently Asked Questions
How do you become a senior data science engineer in Washington?
Washington does not require a state-issued license for senior data science engineers, so the path runs through education and demonstrated experience. Most hiring managers in the Seattle-Bellevue corridor expect a bachelor's degree in computer science, mathematics, or a related field, with a master's degree preferred for senior roles. Candidates typically need several years of hands-on model development and deployment work, and building a portfolio of production-grade projects strengthens applications considerably at Washington's large technology employers.
How much do senior data science engineers make in Washington?
Senior 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 senior data science engineers in Washington?
Employers hiring senior 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 density of major technology headquarters and aerospace firms means that senior-level openings tend to require experience with large-scale systems and cross-functional product collaboration.
Which Washington cities have the most senior data science engineer jobs?
Seattle, Bellevue, and Redmond account for the largest share of senior data science engineer openings in Washington. Seattle drives the volume as the headquarters city for major technology and e-commerce companies, while Bellevue and Redmond reflect the dense campus presence of enterprise software and cloud-services firms that cluster on the Eastside and consistently maintain large data science teams.
Are there remote senior data science engineer jobs in Washington?
Yes, and more than most fields. Senior data science engineering is a highly desk-based and collaborative-tool-driven discipline, making it well suited to remote arrangements. About 80% of senior data science engineer openings tied to Washington are remote or hybrid as of August 2026, reflecting the broader flexibility that Washington's technology sector has extended to analytical and engineering roles. Model development, research, and pipeline work are the functions most commonly offered with full remote flexibility.
How can I get hired as a senior data science engineer in Washington with little or no experience?
The most realistic entry point is an associate or junior data scientist role at one of Washington's large technology employers, where internal mobility into senior positions is well established. Companies like Microsoft and Amazon run structured new-graduate programs and rotational tracks that funnel candidates with strong academic backgrounds into applied data science work. Lateral moves from adjacent roles such as data analyst, machine learning engineer, or business intelligence developer are common. A portfolio of end-to-end machine learning projects, contributions to open-source repositories, and a master's degree from a Washington research university like the University of Washington significantly improve early-career candidacy.
Where can I find and apply to senior data science engineer jobs in Washington?
You can find and apply to senior data science engineer jobs in Washington on Migrate Mate, which lists current Washington openings updated regularly. Find roles that fit your background and apply directly to the ones that match.
See All 39 Senior Data Science Engineer Jobs in Washington
Find roles in Washington that match your experience and apply in just a few clicks.
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