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 ExtraHop Networks. Scan the live roles below and apply to whichever ones fit.

Find Data Science Director Jobs

Overview

Open roles41

Top employerAmazon

Work type50% Remote

Top credentialMaster's degree

Companies hiring8

Showing 4 of 41+ Data Science Director jobs

Director, Data Science - New Revenue Bets

We won't show you this job again

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.

See All 41 Data Science Director Jobs in Seattle

Find roles in Seattle that match your experience and apply in just a few clicks.

Find Data Science Director Jobs

Data Science Director Job Market in Seattle

Who's Hiring

Amazon22
Amazon Web Services6
ExtraHop Networks4
Meta2
Google2

Top Industries Hiring

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

Other Washington Cities Hiring Data Science Directors

Other cities in Washington with the most openings

See all Data Science Director jobs across Washington

Bellevue

12 jobs

Redmond

5 jobs

Olympia

2 jobs

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 ExtraHop Networks, per current listings on Migrate Mate as of October 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 83% of data science director openings tied to Seattle are remote or hybrid as of October 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 Retail, Technology & Software, and E-Commerce & Online Marketplaces, based on current listings on Migrate Mate as of October 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

Lead Management JobsWashington

Forward Deployed Engineering JobsWashington

Managing Consultant JobsWashington

Project Development Manager JobsWashington

Aviation JobsWashington

Risk Management Lead JobsWashington

Market Development Manager JobsWashington

Cloud Consultant JobsWashington

Front End Developer JobsWashington

See All 41 Data Science Director Jobs in Seattle

Find roles in Seattle that match your experience and apply in just a few clicks.

Find Data Science Director Jobs