Data Science Director Jobs in Seattle, WA
Data Science Director jobs in Seattle, Washington are concentrated in South Lake Union, the Central Business District, and Capitol Hill, with strong demand across cloud technology, life sciences, and retail analytics. Employers actively hiring include Amazon, Amazon Web Services, and Adobe. Scan the live roles below and apply to whichever ones fit.
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Showing 5 of 39+ Data Science Director 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 Data Science Director Jobs in Seattle
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Find Data Science Director JobsData Science Director Job Market in Seattle
Who's Hiring
- Amazon18
- Amazon Web Services5
- Adobe4
- ExtraHop Networks4
- Honor2
Top Industries Hiring
- Technology & Software
- Retail
- E-Commerce & Online Marketplaces
- News & Publishing
- Banking & Financial Services
Data Science Director Jobs in Seattle: Frequently Asked Questions
How do I get a data science director job in Seattle?
The strongest path into a data science director role in Seattle runs through the city's dominant technology and life sciences sectors, where most openings are concentrated in South Lake Union and the Central Business District. Candidates who can demonstrate experience leading data platform migrations, building ML pipelines at scale, or translating model outputs into product decisions stand out locally. Familiarity with cloud-native stacks and cross-functional stakeholder management is consistently valued by Seattle hiring teams.
Which companies hire data science directors in Seattle?
Companies currently hiring data science directors in Seattle include Amazon, Amazon Web Services, and Adobe, per current listings on Migrate Mate as of August 2026. Seattle's hiring landscape is shaped by a dense mix of global technology firms, fast-growing health tech companies, and regional retailers with large consumer data operations.
Are there remote data science director jobs in Seattle?
Yes, though director-level roles tend toward hybrid arrangements given the cross-functional leadership they require. About 73% of data science director openings tied to Seattle are remote or hybrid as of August 2026, reflecting broader flexibility among technology and analytics employers in the region. Strategic planning, model review, and stakeholder reporting are the functions most commonly performed remotely in these roles.
How can I get a data science director job in Seattle with little or no experience?
The most realistic entry path is moving up from a senior data scientist or analytics manager role at one of Seattle's mid-size technology or health tech companies, where director tracks are shorter than at large enterprises. Companies in the life sciences corridor and retail analytics space regularly hire senior individual contributors with a clear path to people leadership. Building a portfolio of cross-functional projects and volunteering to lead team initiatives within your current role signals readiness to Seattle hiring managers.
Which industries hire the most data science directors in Seattle?
The sectors hiring the most data science directors in Seattle are Technology & Software, Retail, and E-Commerce & Online Marketplaces, based on current listings on Migrate Mate as of August 2026. Seattle's concentration of cloud infrastructure companies, genomics and biotech firms, and large-scale e-commerce operations creates sustained demand for data leadership across all three areas.
Related Jobs in Washington
See All 39 Data Science Director Jobs in Seattle
Find roles in Seattle that match your experience and apply in just a few clicks.
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