Data Science Analyst Jobs in Washington
Data Science Analyst jobs in Washington are among the most active in the country, concentrated in technology, cloud computing, healthcare, and aerospace sectors with openings from entry-level analysts through senior and principal roles. Seattle, Bellevue, and Redmond anchor the majority of hiring, where employers like Microsoft, Amazon, and Boeing maintain large and sustained data and analytics teams. The most in-demand specialties across Washington right now are machine learning operations, healthcare analytics, and business intelligence engineering. 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 Analyst Jobs in Washington
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Find Data Science Analyst JobsData Science Analyst Jobs by City in Washington
Where Washington roles are concentrated, by current openings.
Data Science Analyst 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 analyst jobs across Washington.
- Bachelor's degree in statistics, computer science, mathematics, or a closely related quantitative field
- Proficiency in Python or R for data manipulation, modeling, and statistical analysis
- Experience with SQL and working with large relational or cloud-based data warehouses
- Familiarity with visualization tools such as Tableau, Power BI, or Looker
- Ability to communicate analytical findings clearly to non-technical stakeholders
- Experience with cloud platforms such as AWS, Azure, or Google Cloud is strongly preferred
Data Science Analyst Jobs in Washington: Frequently Asked Questions
How do you become a data science analyst in Washington?
Washington does not require a state-issued license or registration to work as a data science analyst. Most employers in the state expect a bachelor's degree in statistics, computer science, mathematics, or a related quantitative discipline, with a master's degree preferred at larger technology firms in Seattle and Bellevue. Candidates who build a portfolio of applied projects using Python, SQL, and a cloud platform, and who earn industry-recognized credentials such as the Google Data Analytics Certificate or an AWS certification, move through Washington hiring pipelines more competitively.
How much do data science analysts make in Washington?
Data science analysts 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 analysts in Washington?
Employers hiring data science analysts in Washington right now include Amazon, Microsoft, and Amazon Web Services, based on current listings on Migrate Mate as of August 2026. Washington's technology and aerospace concentration means data science analyst roles here tend to involve large-scale cloud infrastructure, product analytics, and engineering data at companies with established analytics organizations.
Which Washington cities have the most data science analyst jobs?
Seattle, Bellevue, and Redmond have the most data science analyst openings in Washington. Seattle drives the largest share of postings because it is home to Amazon and a dense cluster of technology firms, while Bellevue and Redmond concentrate hiring around Microsoft's campuses and the software companies that have built operations nearby, making the greater Eastside a consistent source of senior and mid-level analytics roles.
Are there remote data science analyst jobs in Washington?
Yes, and more than most fields. About 80% of data science analyst openings tied to Washington are remote or hybrid as of August 2026, reflecting the desk-based and cloud-connected nature of the work. Roles focused on business intelligence reporting, statistical modeling, and data pipeline development are the most commonly offered as fully remote, while positions embedded in product teams or requiring collaboration with engineering tend to be hybrid.
How can I get hired as a data science analyst in Washington with little or no experience?
The most realistic entry path is applying to associate analyst or business intelligence analyst roles at Washington's large technology employers, which regularly hire candidates with strong academic projects in place of professional experience. Amazon, Microsoft, and Boeing each run structured new-graduate programs and rotational analytics tracks in the Seattle metro that are designed for people entering the field. Building a public portfolio on GitHub that demonstrates SQL querying, Python modeling, and a completed end-to-end project substantially improves selection rates, and transitioning from an adjacent role such as data coordinator, reporting analyst, or research assistant at a Washington healthcare system or university is another well-used entry point.
Where can I find and apply to data science analyst jobs in Washington?
You can find and apply to data science analyst jobs in Washington on Migrate Mate, which lists current Washington openings. Search the listings to find roles that match your experience and location, then apply directly to the ones that fit.
See All 39 Data Science Analyst Jobs in Washington
Find roles in Washington that match your experience and apply in just a few clicks.
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