Data Science Director Jobs in Washington
Data Science Director jobs in Washington are among the most active in the nation, concentrated in technology, cloud computing, aerospace, and enterprise software, with openings at every level from senior individual contributor to executive leadership. Seattle, Bellevue, and Redmond anchor the majority of hiring, where established employers like Microsoft, Amazon, and Boeing maintain large data science organizations with consistent director-level demand. The most sought-after specialties in Washington include machine learning platform leadership, applied AI product strategy, and large-scale data infrastructure. Find a role that fits below and apply directly.
Find Data Science Director JobsOverview
Open roles41
Top employerAmazon
Top citySeattle, WA
Cities hiring4
Work type44% Remote
Top industryTechnology
Showing 5 of 41+ Data Science Director jobs
Director, Data Science - New Revenue Bets
We won't show you this job again
Added 1d ago
Meta
Director, Data Science - New Revenue Bets
Seattle, Washington
Added 1d 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
We won't show you this job again
Added 3d ago
Meta
Data Science Director - Infrastructure Data Center Analytics
Bellevue, Washington
Added 3d ago
Software Development Engineer, AWS Marketing, Data Science & Engineering (D:SE)
We won't show you this job again
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
We won't show you this job again
Added 1w ago
Amazon.com
Sr Product Manager, Technical, Core Shopping Data Science
Seattle, Washington
Added 1w ago
Added 1d 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
Added 1d 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 41 Data Science Director Jobs in Washington
Find roles in Washington that match your experience and apply in just a few clicks.
Find Data Science Director JobsData Science Director Jobs by City in Washington
Where Washington roles are concentrated, by current openings.
Data Science Director Job Market in Washington
A snapshot from current Washington openings, updated as new roles post.
Who's Hiring
- Amazon21
- Meta3
- Microsoft3
- 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 director jobs across Washington.
- Bachelor's or master's degree in data science, statistics, computer science, or a related quantitative field
- Seven or more years of progressively senior data science experience including people management
- Demonstrated ability to lead and grow teams of data scientists and machine learning engineers
- Deep proficiency in Python, SQL, and modern machine learning frameworks such as PyTorch or TensorFlow
- Experience partnering with product, engineering, and executive stakeholders to translate data strategy into business outcomes
- Background in cloud data infrastructure, preferably on Azure, AWS, or Google Cloud platforms
Data Science Director Jobs in Washington: Frequently Asked Questions
How do you become a data science director in Washington?
There is no state-issued license required to work as a data science director in Washington. Most hiring managers expect a master's degree or equivalent in a quantitative discipline, though candidates with a bachelor's degree and a strong portfolio of shipped models and team leadership reach director roles too. Washington employers, especially those in the Seattle technology corridor, place particular weight on experience managing cross-functional data teams and presenting findings to senior leadership.
How much do data science directors make in Washington?
Data science directors 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 directors in Washington?
Employers hiring data science directors in Washington right now include Amazon, Meta, and Microsoft, based on current listings on Migrate Mate as of October 2026. Washington's dense concentration of technology headquarters and cloud-first enterprises means director-level data science roles turn over and expand more frequently here than in most other states.
Which Washington cities have the most data science director jobs?
Seattle, Bellevue, and Redmond have the most data science director openings in Washington. Seattle drives the largest share because it is home to the global headquarters of Microsoft and Amazon along with a dense cluster of mid-size technology and healthcare analytics companies, while Bellevue and Redmond fill out the east side of Lake Washington with major corporate campuses that maintain their own large data organizations.
Are there remote data science director jobs in Washington?
Yes, and more than most fields. Data science director work is primarily analytical and strategic, which makes it well suited to remote and hybrid arrangements. About 89% of data science director openings tied to Washington are remote or hybrid as of October 2026, reflecting how broadly Washington technology employers adopted flexible work policies. The most fully remote postings tend to be for strategy and platform-oversight roles rather than those requiring hands-on collaboration with embedded product teams.
How can I get hired as a data science director in Washington with little or no experience?
The most realistic path is moving into a staff or principal data scientist role at a Washington technology or healthcare employer first, then stepping into a director seat once you have demonstrated team influence. Companies like Microsoft, Amazon, and major health systems such as Providence and UW Medicine regularly hire senior data scientists who take on informal lead responsibilities before being promoted. Building a visible portfolio of end-to-end ML projects and contributing to internal data communities accelerates that transition more than any single credential in this market.
Where can I find and apply to data science director jobs in Washington?
You can find and apply to data science director jobs in Washington on Migrate Mate, which lists current Washington openings updated regularly. Find the roles that fit your background and apply directly from each listing.
See All 41 Data Science Director Jobs in Washington
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