Senior Data Science Engineer Jobs in Washington
Senior Data Science Engineer jobs in Washington are among the most active in the country, concentrated in cloud computing, enterprise software, healthcare analytics, and aerospace, with demand at every level from early-career data scientists through principal and staff engineers. Seattle anchors the market, with Bellevue and Redmond rounding out the primary hiring zones, where companies like Microsoft, Amazon, and Boeing maintain large, established data science organizations. Machine learning infrastructure, MLOps, and natural language processing are the most consistently sought specialties across Washington's open roles. Find a role that fits below and apply directly.
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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 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 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 Senior Data Science Engineer Jobs in Washington
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Find JobsSenior Data Science Engineer Jobs by City in Washington
Where Washington roles are concentrated, by current openings.
Senior Data Science Engineer 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 senior data science engineer jobs across Washington.
- Bachelor's or master's degree in computer science, statistics, or a closely related field
- Five or more years of experience in data science, machine learning, or applied research
- Proficiency in Python and SQL with production-level model deployment experience
- Demonstrated experience with cloud platforms such as Azure, AWS, or Google Cloud
- Ability to lead cross-functional projects and mentor junior data science team members
- Experience with distributed computing frameworks such as Spark or Databricks at scale
Senior Data Science Engineer Jobs in Washington: Frequently Asked Questions
How do you become a senior data science engineer in Washington?
Washington does not require a state-issued license for senior data science engineers, so the path runs through education and demonstrated experience. Most hiring managers in the Seattle-Bellevue corridor expect a bachelor's degree in computer science, mathematics, or a related field, with a master's degree preferred for senior roles. Candidates typically need several years of hands-on model development and deployment work, and building a portfolio of production-grade projects strengthens applications considerably at Washington's large technology employers.
How much do senior data science engineers make in Washington?
Senior 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 senior data science engineers in Washington?
Employers hiring senior data science engineers in Washington right now include Amazon, Meta, and Microsoft, based on current listings on Migrate Mate as of October 2026. Washington's density of major technology headquarters and aerospace firms means that senior-level openings tend to require experience with large-scale systems and cross-functional product collaboration.
Which Washington cities have the most senior data science engineer jobs?
Seattle, Bellevue, and Redmond account for the largest share of senior data science engineer openings in Washington. Seattle drives the volume as the headquarters city for major technology and e-commerce companies, while Bellevue and Redmond reflect the dense campus presence of enterprise software and cloud-services firms that cluster on the Eastside and consistently maintain large data science teams.
Are there remote senior data science engineer jobs in Washington?
Yes, and more than most fields. Senior data science engineering is a highly desk-based and collaborative-tool-driven discipline, making it well suited to remote arrangements. About 89% of senior data science engineer openings tied to Washington are remote or hybrid as of October 2026, reflecting the broader flexibility that Washington's technology sector has extended to analytical and engineering roles. Model development, research, and pipeline work are the functions most commonly offered with full remote flexibility.
How can I get hired as a senior data science engineer in Washington with little or no experience?
The most realistic entry point is an associate or junior data scientist role at one of Washington's large technology employers, where internal mobility into senior positions is well established. Companies like Microsoft and Amazon run structured new-graduate programs and rotational tracks that funnel candidates with strong academic backgrounds into applied data science work. Lateral moves from adjacent roles such as data analyst, machine learning engineer, or business intelligence developer are common. A portfolio of end-to-end machine learning projects, contributions to open-source repositories, and a master's degree from a Washington research university like the University of Washington significantly improve early-career candidacy.
Where can I find and apply to senior data science engineer jobs in Washington?
You can find and apply to senior data science engineer jobs in Washington on Migrate Mate, which lists current Washington openings updated regularly. Find roles that fit your background and apply directly to the ones that match.
See All 41 Senior Data Science Engineer Jobs in Washington
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