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.
Find Data Science Engineer JobsOverview
Open roles42
Top employerAmazon
Top citySeattle, WA
Cities hiring4
Work type44% Remote
Top industryTechnology
Showing 5 of 42+ Data Science Engineer jobs
Director, Data Science - New Revenue Bets
We won't show you this job again
New 20h ago
Meta
Director, Data Science - New Revenue Bets
Seattle, Washington
New 20h ago
DSHS FTAA Research Associate (Data Science & Informatics Specialist 3)
We won't show you this job again
Added 2d ago
State of Washington
DSHS FTAA Research Associate (Data Science & Informatics Specialist 3)
Olympia, Washington
Added 2d ago
Data Science Director - Infrastructure Data Center Analytics
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Added 2d ago
Meta
Data Science Director - Infrastructure Data Center Analytics
Bellevue, Washington
Added 2d ago
Software Development Engineer, AWS Marketing, Data Science & Engineering (D:SE)
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Added 1w ago
Amazon Web Services
Software Development Engineer, AWS Marketing, Data Science & Engineering (D:SE)
Seattle, Washington
Added 1w ago
Sr Product Manager, Technical, Core Shopping Data Science
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Added 1w ago
Amazon.com
Sr Product Manager, Technical, Core Shopping Data Science
Seattle, Washington
Added 1w ago
New 20h ago
Director, Data Science - New Revenue Bets
Meta·Seattle, Washington
Job functions:
$253k - $314k/yr
Doctoral degree in statistics
10,000+ employees
Job Description
We're looking for a experienced Data Scientist who can serve as a product analytics leader and strategic generalist across the CP - New Revenue Bets org. This role is designed for someone who combines deep analytical rigor with strong product sense - someone who can step into any pillar (Subscriptions, BizAI, or XF APAC) and quickly add leverage where the team needs it most.You'll operate with significant autonomy, partnering directly with VPs and cross-functional leaders at the most senior levels of company leadership to shape strategy and unblock critical workstreams. You'll be the analytical connective tissue across our pillars - building bridges between teams, synthesizing insights across workstreams, and ensuring our bets are informed by the rigorous data-driven perspective.
Director, Data Science - New Revenue Bets Responsibilities:
Minimum Qualifications:
Preferred Qualifications:
About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Director, Data Science - New Revenue Bets Responsibilities:
- Provide senior analytical leadership across New Revenue Bets workstreams - Subscriptions, BizAI, and XF APAC - where it's most needed at any given moment
- Work directly with VPs and senior cross-functional leaders across the company
- synthesize complex analysis into actionable insights for executive audiences and shape investment decisions at the highest levels
- Define measurement frameworks and success metrics for nascent revenue products where playbooks don't yet exist
- make ambiguity tractable for emerging business models
- Drive analytical insights on subscriber growth, retention, LTV modeling, pricing/packaging strategy, and product-market fit for Meta's subscription offerings
- Partner on the data strategy for AI-powered business tools - measurement of AI agent effectiveness, ROI frameworks for business customers, and opportunity sizing for new capabilities
- Lead cross-functional analytics supporting APAC market expansion - localization insights, regional product-market dynamics, and go-to-market measurement
- Serve as a unifying analytical voice across multiple teams and workstreams
- identify shared challenges, propagate learnings, and ensure teams are building on each other's work
- Establish best practices in measurement, experimentation, and causal inference for early-stage revenue products
- propagate learnings across the org and beyond
- Elevate the craft and impact of other ICs and managers through coaching, collaboration, and exemplar work
- Redesign analytical workflows to leverage AI/ML tools and agents at scale
- model how ICs should integrate AI as a force multiplier
Minimum Qualifications:
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- 12+ years of experience in data science, analytics, or a quantitative field
- Advanced degree (MS/PhD) in Statistics, Economics, Computer Science, or related quantitative discipline
- Demonstrated company-wide influence, cross-org strategy, and sustained execution on high-complexity problems
- Proven ability to context-switch across disparate problem domains (growth, monetization, international expansion, AI products) while maintaining high-quality output
- Track record of setting direction on company-critical problems and influencing cross-org strategy
- Experience thriving in multi-team, multi-stakeholder environments with the ability to build trust quickly and drive outcomes through influence
- Comfort operating in early-stage, high-ambiguity environments where metrics, frameworks, and questions haven't been defined yet
- Ability to synthesize complex analysis into clear narratives for VP+ and cross-functional leadership
Preferred Qualifications:
- Familiarity with Meta's data infrastructure (large-scale data querying tools (e.g., Hive, Presto, Spark), experimentation platforms, and ML infrastructure)
- Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
- Experience in subscription/recurring-revenue businesses (LTV modeling, retention analytics, pricing strategy)
- Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
- Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
- Background in AI product measurement or AI agent evaluation frameworks
- International/APAC market analytics experience - understanding regional dynamics, localization challenges, and cross-market comparisons
- Prior experience operating as a principal-level IC embedded in a leadership team across multiple concurrent bets
About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$253,000/year to $314,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$253,000/year to $314,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
Meta
Director, Data Science - New Revenue Bets
Seattle, Washington
New 20h ago10,000+ employees
Job functions:
$253k - $314k/yr
Doctoral degree in statistics
Job Description
We're looking for a experienced Data Scientist who can serve as a product analytics leader and strategic generalist across the CP - New Revenue Bets org. This role is designed for someone who combines deep analytical rigor with strong product sense - someone who can step into any pillar (Subscriptions, BizAI, or XF APAC) and quickly add leverage where the team needs it most.You'll operate with significant autonomy, partnering directly with VPs and cross-functional leaders at the most senior levels of company leadership to shape strategy and unblock critical workstreams. You'll be the analytical connective tissue across our pillars - building bridges between teams, synthesizing insights across workstreams, and ensuring our bets are informed by the rigorous data-driven perspective.
Director, Data Science - New Revenue Bets Responsibilities:
Minimum Qualifications:
Preferred Qualifications:
About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Director, Data Science - New Revenue Bets Responsibilities:
- Provide senior analytical leadership across New Revenue Bets workstreams - Subscriptions, BizAI, and XF APAC - where it's most needed at any given moment
- Work directly with VPs and senior cross-functional leaders across the company
- synthesize complex analysis into actionable insights for executive audiences and shape investment decisions at the highest levels
- Define measurement frameworks and success metrics for nascent revenue products where playbooks don't yet exist
- make ambiguity tractable for emerging business models
- Drive analytical insights on subscriber growth, retention, LTV modeling, pricing/packaging strategy, and product-market fit for Meta's subscription offerings
- Partner on the data strategy for AI-powered business tools - measurement of AI agent effectiveness, ROI frameworks for business customers, and opportunity sizing for new capabilities
- Lead cross-functional analytics supporting APAC market expansion - localization insights, regional product-market dynamics, and go-to-market measurement
- Serve as a unifying analytical voice across multiple teams and workstreams
- identify shared challenges, propagate learnings, and ensure teams are building on each other's work
- Establish best practices in measurement, experimentation, and causal inference for early-stage revenue products
- propagate learnings across the org and beyond
- Elevate the craft and impact of other ICs and managers through coaching, collaboration, and exemplar work
- Redesign analytical workflows to leverage AI/ML tools and agents at scale
- model how ICs should integrate AI as a force multiplier
Minimum Qualifications:
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- 12+ years of experience in data science, analytics, or a quantitative field
- Advanced degree (MS/PhD) in Statistics, Economics, Computer Science, or related quantitative discipline
- Demonstrated company-wide influence, cross-org strategy, and sustained execution on high-complexity problems
- Proven ability to context-switch across disparate problem domains (growth, monetization, international expansion, AI products) while maintaining high-quality output
- Track record of setting direction on company-critical problems and influencing cross-org strategy
- Experience thriving in multi-team, multi-stakeholder environments with the ability to build trust quickly and drive outcomes through influence
- Comfort operating in early-stage, high-ambiguity environments where metrics, frameworks, and questions haven't been defined yet
- Ability to synthesize complex analysis into clear narratives for VP+ and cross-functional leadership
Preferred Qualifications:
- Familiarity with Meta's data infrastructure (large-scale data querying tools (e.g., Hive, Presto, Spark), experimentation platforms, and ML infrastructure)
- Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
- Experience in subscription/recurring-revenue businesses (LTV modeling, retention analytics, pricing strategy)
- Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
- Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
- Background in AI product measurement or AI agent evaluation frameworks
- International/APAC market analytics experience - understanding regional dynamics, localization challenges, and cross-market comparisons
- Prior experience operating as a principal-level IC embedded in a leadership team across multiple concurrent bets
About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$253,000/year to $314,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$253,000/year to $314,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
See All 42 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
- Amazon21
- Microsoft4
- Meta3
- Amazon Web Services3
- ExtraHop Networks2
Top Industries Hiring
- Technology & Software
- Retail
- E-Commerce & Online Marketplaces
- Consulting & Professional Services
- Banking & Financial Services
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 Meta, based on current listings on Migrate Mate as of October 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 89% of data science engineer openings tied to Washington are remote or hybrid as of October 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 42 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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