Data Scientist Jobs in Washington
Data Scientist jobs in Washington are among the most active in the country, concentrated in technology, cloud computing, healthcare, and aerospace, with openings at every level from entry-level analyst to principal scientist. Seattle leads hiring, followed by Redmond and Bellevue, where anchor employers like Microsoft, Amazon, and Boeing maintain large data science teams. Machine learning engineering, natural language processing, and health informatics are the most in-demand specialties across Washington's market. Find a role that fits below and apply directly.
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Showing 4 of 106+ Data Scientist jobs
DESCRIPTION
Amazon Music is an immersive audio entertainment service that deepens connections between fans, artists, and creators. From personalized music playlists to exclusive podcasts, concert livestreams to artist merch, Amazon Music is innovating at some of the most exciting intersections of music and culture. We offer experiences that serve all listeners with our different tiers of service: Prime members get access to all the music in shuffle mode, and top ad-free podcasts, included with their membership; customers can upgrade to Amazon Music Unlimited for unlimited, on-demand access to 100 million songs, including millions in HD, Ultra HD, and spatial audio; and anyone can listen for free by downloading the Amazon Music app or via Alexa-enabled devices. Join us for the opportunity to influence how Amazon Music engages fans, artists, and creators on a global scale.
The Data, Insights, Science and Optimization, Consumer Product and Tech (DISCO CPT) team is looking for a Data Scientist to join a team of Data Scientists, Analytics Leads, Business Intelligence Engineers and Data Engineers who analyze big data, provide analytics and insights as well as build models and algorithms that power product for personalized experiences. The team focuses on accelerating Amazon Music customer growth by empowering Product teams to make sound, customer-centric decisions through data and insights. We build data pipelines, science models, self-service analytics, insights and dashboards, deliver engagement and retention at scale. In this role, you will pioneer and execute advanced analytics and experimentation efforts for the Amazon Music product team. You will work with stakeholders and partners to deliver experimentation insights, author scientific artifacts, build scalable models to advance our analytics and science products. The ideal candidate must be willing to effectively lead science solutions, prioritize across multiple stakeholders and projects and be ready to jump into a fast-paced, dynamic and fun environment.
Key job responsibilities
-
Data Scientist I on this role will be a thought partner to Product and Engineering organizations through their expertise in experimentation, statistical modeling and advanced analytics
-
Conceptualize and drive strategic growth areas: app performance, stability and latency experimentation, Gen AI initiatives, and product excellence.
-
Bridge science, analytics, and engineering to deliver solutions informing strategic decisions on AM technology investments and long-term business performance
-
Drive experimentation, measurement efficiency tooling, and ROI tracking for AM leadership
-
Build and maintain causal models to understand customer sentiment and its impact on key engagement/retention metrics
-
Develop structural and predictive models using data science workflows to deliver measurable customer results
A day in the life
-
Lead strategic initiatives across visual and voice experiences, experimentation and customer retention stakeholders
-
Conduct experimentation, build causal models to better understand key drivers for customer retention
-
Evaluate existing metrics and lead deep dives to ensure the right measurement framework is leveraged to measure and enhance user adoption through visual and voice interfaces
-
Partner with product managers to translate business questions into actionable science projects
-
Influence product roadmaps through data-driven insights on customer behavior patterns
-
Identify and resolve customer experience friction points with cross-functional teams
Drive adoption of best practices and innovative solutions across the organization
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
- 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)
PREFERRED QUALIFICATIONS
- Ph.D. in Science, Technology, Engineering, or Mathematics (STEM)
- Knowledge of statistical packages and business intelligence tools such as SPSS, SAS, S-PLUS, or R
- Knowledge of machine learning concepts and their application to reasoning and problem-solving
- Experience with clustered data processing (e.g., Hadoop, Spark, Map-reduce, and Hive)
- Experience working with or evaluating AI systems
- 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.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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, CA, Culver City - 122,600.00 - 160,000.00 USD annually
USA, CA, San Francisco - 124,600.00 - 185,000.00 USD annually
USA, WA, Seattle - 108,300.00 - 160,000.00 USD annually
DESCRIPTION
Amazon Music is an immersive audio entertainment service that deepens connections between fans, artists, and creators. From personalized music playlists to exclusive podcasts, concert livestreams to artist merch, Amazon Music is innovating at some of the most exciting intersections of music and culture. We offer experiences that serve all listeners with our different tiers of service: Prime members get access to all the music in shuffle mode, and top ad-free podcasts, included with their membership; customers can upgrade to Amazon Music Unlimited for unlimited, on-demand access to 100 million songs, including millions in HD, Ultra HD, and spatial audio; and anyone can listen for free by downloading the Amazon Music app or via Alexa-enabled devices. Join us for the opportunity to influence how Amazon Music engages fans, artists, and creators on a global scale.
The Data, Insights, Science and Optimization, Consumer Product and Tech (DISCO CPT) team is looking for a Data Scientist to join a team of Data Scientists, Analytics Leads, Business Intelligence Engineers and Data Engineers who analyze big data, provide analytics and insights as well as build models and algorithms that power product for personalized experiences. The team focuses on accelerating Amazon Music customer growth by empowering Product teams to make sound, customer-centric decisions through data and insights. We build data pipelines, science models, self-service analytics, insights and dashboards, deliver engagement and retention at scale. In this role, you will pioneer and execute advanced analytics and experimentation efforts for the Amazon Music product team. You will work with stakeholders and partners to deliver experimentation insights, author scientific artifacts, build scalable models to advance our analytics and science products. The ideal candidate must be willing to effectively lead science solutions, prioritize across multiple stakeholders and projects and be ready to jump into a fast-paced, dynamic and fun environment.
Key job responsibilities
-
Data Scientist I on this role will be a thought partner to Product and Engineering organizations through their expertise in experimentation, statistical modeling and advanced analytics
-
Conceptualize and drive strategic growth areas: app performance, stability and latency experimentation, Gen AI initiatives, and product excellence.
-
Bridge science, analytics, and engineering to deliver solutions informing strategic decisions on AM technology investments and long-term business performance
-
Drive experimentation, measurement efficiency tooling, and ROI tracking for AM leadership
-
Build and maintain causal models to understand customer sentiment and its impact on key engagement/retention metrics
-
Develop structural and predictive models using data science workflows to deliver measurable customer results
A day in the life
-
Lead strategic initiatives across visual and voice experiences, experimentation and customer retention stakeholders
-
Conduct experimentation, build causal models to better understand key drivers for customer retention
-
Evaluate existing metrics and lead deep dives to ensure the right measurement framework is leveraged to measure and enhance user adoption through visual and voice interfaces
-
Partner with product managers to translate business questions into actionable science projects
-
Influence product roadmaps through data-driven insights on customer behavior patterns
-
Identify and resolve customer experience friction points with cross-functional teams
Drive adoption of best practices and innovative solutions across the organization
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
- 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)
PREFERRED QUALIFICATIONS
- Ph.D. in Science, Technology, Engineering, or Mathematics (STEM)
- Knowledge of statistical packages and business intelligence tools such as SPSS, SAS, S-PLUS, or R
- Knowledge of machine learning concepts and their application to reasoning and problem-solving
- Experience with clustered data processing (e.g., Hadoop, Spark, Map-reduce, and Hive)
- Experience working with or evaluating AI systems
- 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.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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, CA, Culver City - 122,600.00 - 160,000.00 USD annually
USA, CA, San Francisco - 124,600.00 - 185,000.00 USD annually
USA, WA, Seattle - 108,300.00 - 160,000.00 USD annually
See All 106+ Data Scientist Jobs in Washington
Find roles in Washington that match your experience and apply in just a few clicks.
Find Data Scientist JobsData Scientist Jobs by City in Washington
Where Washington roles are concentrated, by current openings.
Data Scientist Job Market in Washington
A snapshot from current Washington openings, updated as new roles post.
Who's Hiring
- Amazon27
- TikTok9
- Walmart6
- Microsoft6
- Lyft3
Top Industries Hiring
- Technology & Software18
- Retail4
- Banking & Financial Services3
- Social Media1
- Science & Research1
What Washington Employers Look For
The qualifications that appear most often in data scientist jobs across Washington.
- Bachelor's or master's degree in statistics, computer science, mathematics, or a related field
- Proficiency in Python or R for data analysis, modeling, and automation
- Experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn
- Ability to query and manipulate large datasets using SQL or distributed computing tools like Spark
- Familiarity with cloud platforms including AWS, Azure, or Google Cloud for model deployment
- Strong communication skills for presenting findings to technical and non-technical stakeholders
Data Scientist Jobs in Washington: Frequently Asked Questions
How do you become a data scientist in Washington?
Data scientist roles in Washington do not require a state-issued license or registration. Most Washington employers expect at least a bachelor's degree in a quantitative field such as statistics, computer science, or applied mathematics, with a master's degree preferred for senior positions. Building a portfolio of applied projects, completing graduate coursework or bootcamps with industry partnerships, and gaining hands-on experience with cloud tools common in Washington's tech sector strengthens any application.
How much do data scientists make in Washington?
Data scientists 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 scientists in Washington?
Employers hiring data scientists in Washington right now include Amazon, TikTok, and Walmart, based on current listings on Migrate Mate as of November 2026. Washington's concentration of technology headquarters, major healthcare systems, and aerospace manufacturers means demand for data scientists runs consistently across multiple industries throughout the year.
Which Washington cities have the most data scientist jobs?
Seattle, Bellevue, and Redmond have the most data scientist openings in Washington. Seattle drives the largest share of demand through its dense cluster of technology companies, life sciences firms, and enterprise software headquarters, while Redmond and Bellevue benefit directly from Microsoft's campus and the broader Eastside corridor of cloud and software employers.
Are there remote data scientist jobs in Washington?
Yes, and more than most fields. About 61% of data scientist openings tied to Washington are remote or hybrid as of November 2026, reflecting how naturally this role lends itself to distributed work. Modeling, analysis, and research tasks are the most commonly fully remote, while roles involving close collaboration with product or engineering teams tend to favor hybrid arrangements.
How can I get hired as a data scientist in Washington with little or no experience?
The most realistic entry path is applying to associate data scientist or data analyst roles, which large Washington employers like Microsoft, Amazon, and Providence Health use as pipelines into senior data science positions. University of Washington and Washington State University graduates benefit from formal new-grad programs and on-campus recruiting at these employers. Building a public project portfolio on GitHub, completing internships, and moving laterally from adjacent roles such as business intelligence analyst or data engineer significantly improves early-career candidacy.
Where can I find and apply to data scientist jobs in Washington?
You can find and apply to data scientist jobs in Washington on Migrate Mate, which lists current Washington openings across industries and experience levels. Find roles that fit your background and apply directly to each one.
See All 106+ Data Scientist Jobs in Washington
Find roles in Washington that match your experience and apply in just a few clicks.
Find Data Scientist Jobs