Senior Data Science Engineer Jobs in Seattle, WA

Senior Data Science Engineer jobs in Seattle are in strong demand, concentrated in South Lake Union, Capitol Hill, and the Eastside corridor across cloud technology, e-commerce, and healthcare analytics. Employers hiring right now include Amazon, Amazon Web Services, and ExtraHop Networks. See the openings below and apply to the ones that match your experience.

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Overview

Open roles40

Top employerAmazon

Work type50% Remote

Top credentialMaster's degree

Companies hiring8

Showing 5 of 40+ Senior Data Science Engineer jobs

Director, Data Science - New Revenue Bets

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Added 1d ago

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.

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.

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Senior Data Science Engineer Job Market in Seattle

Who's Hiring

Amazon21
Amazon Web Services6
ExtraHop Networks4
Meta2
Google2

Top Industries Hiring

Retail
Technology & Software
E-Commerce & Online Marketplaces
Banking & Financial Services

Other Washington Cities Hiring Senior Data Science Engineers

Other cities in Washington with the most openings

See all Senior Data Science Engineer jobs across Washington

Bellevue

11 jobs

Redmond

6 jobs

Olympia

2 jobs

Senior Data Science Engineer Jobs in Seattle: Frequently Asked Questions

How do I get a senior data science engineer job in Seattle?

Focus your search on South Lake Union, the Eastside, and the Denny Triangle, where cloud platforms, e-commerce, and health tech firms concentrate their engineering teams. Candidates with deep experience in large-scale ML systems, distributed data pipelines, or applied AI give themselves a clear edge in Seattle's market. Engaging with local tech meetups and targeting companies with established data platform teams also strengthens your position.

Which companies hire senior data science engineers in Seattle?

Seattle senior data science engineer roles are posted by Amazon, Amazon Web Services, and ExtraHop Networks and others right now, based on current listings on Migrate Mate as of October 2026. Seattle's hiring mix includes major cloud and e-commerce platforms, fast-growing health tech firms, and enterprise software companies that maintain large in-house data science organizations.

Are there remote senior data science engineer jobs in Seattle?

Yes, senior data science engineer work is well-suited to remote arrangements given its analytical and systems-focused nature. About 83% of senior data science engineer openings tied to Seattle are remote or hybrid as of October 2026, reflecting the strong remote culture among Seattle's cloud and software employers. Roles involving model deployment, research, and pipeline architecture tend to offer the most location flexibility.

How can I get a senior data science engineer job in Seattle with little or no experience?

The most realistic entry path in Seattle is targeting data engineer or machine learning engineer roles at mid-size tech and health tech companies, where teams are smaller and scope expands quickly. Seattle's startup ecosystem in South Lake Union and the Eastside regularly hires junior contributors who grow into senior roles. Building a portfolio with cloud-native projects, particularly on AWS or Azure given local employer preferences, helps candidates stand out early.

Which industries hire the most senior data science engineers in Seattle?

The sectors hiring the most senior data science engineers in Seattle are Retail, Technology & Software, and E-Commerce & Online Marketplaces, based on current listings on Migrate Mate as of October 2026. Seattle's outsized concentration of cloud infrastructure, retail technology, and life sciences companies drives consistent demand for senior-level data science engineering talent across these sectors.

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