Quantitative Jobs in Washington
Quantitative jobs in Washington draw consistent demand from the state's dense concentration of technology, finance, and defense sectors, with openings at every level from junior analyst to senior researcher. Seattle, Bellevue, and Redmond anchor most of the hiring, where established employers such as Microsoft, Amazon, and Boeing maintain large quantitative research and analytics teams. The most sought-after specialties in Washington include quantitative research, algorithmic modeling, and risk analytics. Find a role that fits below and apply directly.
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Showing 5 of 6+ Quantitative jobs
- Health, dental, vision, life, disability insurance
- Retirement Benefits: 401(k) with company match
- Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
- Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
- Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
- Baby Bonding Leave: 18 weeks
- Holidays: 13 paid days per year
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sunnyvale, CA, USA; Seattle, WA, USA.
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 6 years of experience in product research in an applied research setting.
- Experience in quantitative research, logs analysis, measurement and attribution, data analysis, and metrics analysis.
- Experience researching AI/ML products, Developer APIs, or technical infrastructure.
- Experience in programming languages used for data manipulation and computational statistics (e.g., Python is the preference).
Preferred qualifications:
- Master's degree or PhD in Human-Computer Interaction, Cognitive Science, Statistics, Psychology, Anthropology, or related field.
- 5 years of experience conducting UX research on products and working with executive leadership (e.g., Director level and above).
- Experience with code reviews.
- Experience analyzing behavioral telemetry/log data (e.g., AI logs or SQL) to inform product decisions.
- Experience working with agentic AI tools, Loop Engineering principals, and AI/ML training phases and methods.
About the job
At Google, we "Focus on the user and all else will follow." As a Quantitative User Experience Researcher (Quant UXR), you make this possible. You will join a multi-disciplinary team, collaborating closely with Engineering and Product Management to create industry-leading, innovative products.You will drive impact at all stages of development by investigating user behavior through empirical methods like log analysis, survey research, and regression. We value various educational experiences—from Computer Science to Psychology—and require a blend of behavioral research design, statistical proficiency, and programming skills to uncover actionable insights. Beyond the work, you will grow within a supportive Quant UXR community offering mentorship, regular meetups, and exclusive internal tools to help you thrive.
As a Senior Quantitative UX Researcher, you will drive product excellence for Alphabet’s core AI infrastructure by translating complex system telemetry into actionable user insights. As a part of the AI Enablement side of the ACE UX research team, you will execute on partnerships with AI Data and Research-to-Production (R2P). You will lead the development of next-generation measurement frameworks, leveraging advanced statistical models and agentic AI workflows to analyze system logs at scale. You will partner closely with Engineering, Product Management, and agentic developers, pioneer how we measure and optimize frictionless, high-velocity developer workflows across the AI pipeline.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $159000 - $230000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Design and implement agent-assisted pipelines to parse, audit, and analyze massive-scale system logs (e.g., telemetry, clickstream, operational logs) to accelerate insight generation.
- Define, instrument, and track system-level Key Performance Indicator (KPIs), backend performance metrics, and Product Health indicators, aligning them directly with Critical User Journeys.
- Develop custom scripts, prompts, or agentic wrappers (e.g., in Python or R) to parse complex, messy infrastructure logs and transform them into digestible, statistically validated behavioral patterns.
- Lead the design and analysis of complex experiments, multivariate testing, and rollout strategies to optimize system configurations, documentation, and tooling.
- Collaborate with Infrastructure Engineers, Applied Data Scientists, and Machine Learning researchers to ensure backend pipelines are correctly instrumented for downstream agentic analysis.
- Health, dental, vision, life, disability insurance
- Retirement Benefits: 401(k) with company match
- Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
- Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
- Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
- Baby Bonding Leave: 18 weeks
- Holidays: 13 paid days per year
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sunnyvale, CA, USA; Seattle, WA, USA.
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 6 years of experience in product research in an applied research setting.
- Experience in quantitative research, logs analysis, measurement and attribution, data analysis, and metrics analysis.
- Experience researching AI/ML products, Developer APIs, or technical infrastructure.
- Experience in programming languages used for data manipulation and computational statistics (e.g., Python is the preference).
Preferred qualifications:
- Master's degree or PhD in Human-Computer Interaction, Cognitive Science, Statistics, Psychology, Anthropology, or related field.
- 5 years of experience conducting UX research on products and working with executive leadership (e.g., Director level and above).
- Experience with code reviews.
- Experience analyzing behavioral telemetry/log data (e.g., AI logs or SQL) to inform product decisions.
- Experience working with agentic AI tools, Loop Engineering principals, and AI/ML training phases and methods.
About the job
At Google, we "Focus on the user and all else will follow." As a Quantitative User Experience Researcher (Quant UXR), you make this possible. You will join a multi-disciplinary team, collaborating closely with Engineering and Product Management to create industry-leading, innovative products.You will drive impact at all stages of development by investigating user behavior through empirical methods like log analysis, survey research, and regression. We value various educational experiences—from Computer Science to Psychology—and require a blend of behavioral research design, statistical proficiency, and programming skills to uncover actionable insights. Beyond the work, you will grow within a supportive Quant UXR community offering mentorship, regular meetups, and exclusive internal tools to help you thrive.
As a Senior Quantitative UX Researcher, you will drive product excellence for Alphabet’s core AI infrastructure by translating complex system telemetry into actionable user insights. As a part of the AI Enablement side of the ACE UX research team, you will execute on partnerships with AI Data and Research-to-Production (R2P). You will lead the development of next-generation measurement frameworks, leveraging advanced statistical models and agentic AI workflows to analyze system logs at scale. You will partner closely with Engineering, Product Management, and agentic developers, pioneer how we measure and optimize frictionless, high-velocity developer workflows across the AI pipeline.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $159000 - $230000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Design and implement agent-assisted pipelines to parse, audit, and analyze massive-scale system logs (e.g., telemetry, clickstream, operational logs) to accelerate insight generation.
- Define, instrument, and track system-level Key Performance Indicator (KPIs), backend performance metrics, and Product Health indicators, aligning them directly with Critical User Journeys.
- Develop custom scripts, prompts, or agentic wrappers (e.g., in Python or R) to parse complex, messy infrastructure logs and transform them into digestible, statistically validated behavioral patterns.
- Lead the design and analysis of complex experiments, multivariate testing, and rollout strategies to optimize system configurations, documentation, and tooling.
- Collaborate with Infrastructure Engineers, Applied Data Scientists, and Machine Learning researchers to ensure backend pipelines are correctly instrumented for downstream agentic analysis.
See All 6 Quantitative Jobs in Washington
Find roles in Washington that match your experience and apply in just a few clicks.
Find Quantitative JobsQuantitative Jobs by City in Washington
Where Washington roles are concentrated, by current openings.
Quantitative Job Market in Washington
A snapshot from current Washington openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Investment & Asset Management
What Washington Employers Look For
The qualifications that appear most often in quantitative jobs across Washington.
- Bachelor's or advanced degree in mathematics, statistics, economics, or a related quantitative field
- Demonstrated proficiency in Python, R, or MATLAB for modeling and data analysis
- Experience building and validating statistical or machine learning models in a professional setting
- Strong background in probability theory, stochastic calculus, or time-series analysis
- Ability to communicate complex quantitative findings clearly to technical and non-technical stakeholders
- Familiarity with financial instruments, risk frameworks, or large-scale data infrastructure common in Washington markets
Quantitative Jobs in Washington: Frequently Asked Questions
How do you become a quantitative in Washington?
Most quantitative roles in Washington require at least a bachelor's degree in mathematics, statistics, physics, or computer science, with many employers preferring a master's or PhD for research-focused positions. Washington does not issue a state license specific to quantitative work. Candidates typically build their path through academic programs at the University of Washington or Washington State University, followed by internships or entry-level analyst roles at Seattle-area technology or financial firms.
Which companies hire quantitatives in Washington?
Employers hiring quantitatives in Washington right now include Google, Lynker, and Meta, based on current listings on Migrate Mate as of September 2026. Washington's technology and aerospace concentration means many of these openings sit within large R&D teams or trading and risk analytics divisions anchored in the Seattle metro area.
Which Washington cities have the most quantitative jobs?
The cities with the most quantitative openings in Washington are Seattle and Bellevue. Seattle leads because of its dense cluster of major technology and financial services headquarters, while Bellevue and Redmond reflect the overflow of Microsoft and Amazon campuses that have grown substantially on the Eastside, pulling a large share of quantitative research and modeling roles outside Seattle proper.
Are there remote quantitative jobs in Washington?
Yes, and more than most fields. About 0% of quantitative openings tied to Washington are remote or hybrid as of September 2026, reflecting how naturally the work translates to distributed environments. Modeling, research, and data science sub-roles within quantitative work tend to be the most remote-accessible, while roles requiring close collaboration with trading desks or hardware teams are more likely to require on-site presence in the Seattle or Bellevue area.
How can I get hired as a quantitative in Washington with little or no experience?
The most realistic entry path is a quantitative internship or new-graduate rotational program at one of Washington's large technology or financial employers, where structured programs exist to bring in candidates without professional experience. The University of Washington's applied mathematics and computational finance programs have direct recruiting pipelines into Seattle-area firms. Candidates can also move laterally from data analyst or software engineering roles, and building a portfolio of independent modeling projects in Python or R gives an applicant a measurable edge in early-career screening.
Where can I find and apply to quantitative jobs in Washington?
You can find and apply to quantitative jobs in Washington on Migrate Mate, which lists current openings tied to Washington employers and locations. Search the available roles, find the ones that fit your background and target area, and apply directly through each listing without any additional steps.
See All 6 Quantitative Jobs in Washington
Find roles in Washington that match your experience and apply in just a few clicks.
Find Quantitative Jobs