Data Science Analyst Jobs in Washington
Data Science Analyst jobs in Washington are among the most active in the country, concentrated in technology, cloud computing, healthcare, and aerospace sectors with openings from entry-level analysts through senior and principal roles. Seattle, Bellevue, and Redmond anchor the majority of hiring, where employers like Microsoft, Amazon, and Boeing maintain large and sustained data and analytics teams. The most in-demand specialties across Washington right now are machine learning operations, healthcare analytics, and business intelligence engineering. Find a role that fits below and apply directly.
Find Data Science Analyst JobsOverview
Open roles42
Top employerAmazon
Top citySeattle, WA
Cities hiring4
Work type44% Remote
Top industryTechnology
Showing 5 of 42+ Data Science Analyst 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 42 Data Science Analyst Jobs in Washington
Find roles in Washington that match your experience and apply in just a few clicks.
Find Data Science Analyst JobsData Science Analyst Jobs by City in Washington
Where Washington roles are concentrated, by current openings.
Data Science Analyst 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 analyst jobs across Washington.
- Bachelor's degree in statistics, computer science, mathematics, or a closely related quantitative field
- Proficiency in Python or R for data manipulation, modeling, and statistical analysis
- Experience with SQL and working with large relational or cloud-based data warehouses
- Familiarity with visualization tools such as Tableau, Power BI, or Looker
- Ability to communicate analytical findings clearly to non-technical stakeholders
- Experience with cloud platforms such as AWS, Azure, or Google Cloud is strongly preferred
Data Science Analyst Jobs in Washington: Frequently Asked Questions
How do you become a data science analyst in Washington?
Washington does not require a state-issued license or registration to work as a data science analyst. Most employers in the state expect a bachelor's degree in statistics, computer science, mathematics, or a related quantitative discipline, with a master's degree preferred at larger technology firms in Seattle and Bellevue. Candidates who build a portfolio of applied projects using Python, SQL, and a cloud platform, and who earn industry-recognized credentials such as the Google Data Analytics Certificate or an AWS certification, move through Washington hiring pipelines more competitively.
How much do data science analysts make in Washington?
Data science analysts 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 analysts in Washington?
Employers hiring data science analysts in Washington right now include Amazon, Microsoft, and Meta, based on current listings on Migrate Mate as of October 2026. Washington's technology and aerospace concentration means data science analyst roles here tend to involve large-scale cloud infrastructure, product analytics, and engineering data at companies with established analytics organizations.
Which Washington cities have the most data science analyst jobs?
Seattle, Bellevue, and Redmond have the most data science analyst openings in Washington. Seattle drives the largest share of postings because it is home to Amazon and a dense cluster of technology firms, while Bellevue and Redmond concentrate hiring around Microsoft's campuses and the software companies that have built operations nearby, making the greater Eastside a consistent source of senior and mid-level analytics roles.
Are there remote data science analyst jobs in Washington?
Yes, and more than most fields. About 89% of data science analyst openings tied to Washington are remote or hybrid as of October 2026, reflecting the desk-based and cloud-connected nature of the work. Roles focused on business intelligence reporting, statistical modeling, and data pipeline development are the most commonly offered as fully remote, while positions embedded in product teams or requiring collaboration with engineering tend to be hybrid.
How can I get hired as a data science analyst in Washington with little or no experience?
The most realistic entry path is applying to associate analyst or business intelligence analyst roles at Washington's large technology employers, which regularly hire candidates with strong academic projects in place of professional experience. Amazon, Microsoft, and Boeing each run structured new-graduate programs and rotational analytics tracks in the Seattle metro that are designed for people entering the field. Building a public portfolio on GitHub that demonstrates SQL querying, Python modeling, and a completed end-to-end project substantially improves selection rates, and transitioning from an adjacent role such as data coordinator, reporting analyst, or research assistant at a Washington healthcare system or university is another well-used entry point.
Where can I find and apply to data science analyst jobs in Washington?
You can find and apply to data science analyst jobs in Washington on Migrate Mate, which lists current Washington openings. Search the listings to find roles that match your experience and location, then apply directly to the ones that fit.
See All 42 Data Science Analyst Jobs in Washington
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