Expedia Group brands power global travel for everyone, everywhere. We design cutting‑edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success.
Why Join Us? To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated, and when one of us wins, we all win.
We provide a full benefits package, including exciting travel perks, generous time‑off, parental leave, a flexible work model (with some pretty cool offices), and career development resources to fuel our employees' passion for travel and ensure a rewarding career journey. We’re building a more open world. Join us.
Senior Applied Economist - Advertising Technology Introduction to the Team Expedia Technology teams partner with our Product teams to create innovative products, services, and tools to deliver high‑quality experiences for travelers, partners, and our employees. A singular technology platform powered by data and machine learning provides secure, differentiated, and personalized experiences that drive loyalty and traveler satisfaction.
We are seeking an
Economist
to join our high‑performing Advertising Technology team to drive rigorous, data‑driven decisions across
auction design, ad relevance, incrementality measurement, and marketplace optimization . This role sits at the intersection of
economic theory, applied statistics, econometric modeling, experimentation, and large‑scale ad systems , influencing how ads are ranked, priced, and evaluated in production.
In this role, you will:
Analyze and improve
ad auction mechanisms
(pricing, bidding, pacing) and model advertiser behavior to balance revenue, ROI, relevance, and user experience
Define and evaluate
ad relevance signals
using statistical and econometric methods to ensure incentive‑aligned metrics
Design and analyze
incrementality and causal experiments
(geo tests, holdouts, switchbacks) to measure true lift and avoid cannibalization
Build and validate
econometric and causal models
to understand marketplace dynamics, pricing, and long‑term health
Conduct advanced
data analysis
to inform product strategy, policy decisions, and marketplace optimization
Collaborate cross‑functionally with
product, engineering, and ML teams
to drive experimentation and data‑driven decisions at scale
Communicate
clear, actionable insights
to technical and non‑technical stakeholders
Minimum Qualifications
Master’s or PhD in
Economics, Applied Economics, Econometrics, Statistics, Operations Research , or a related quantitative field
Solid foundation in
microeconomic theory and game theory , with the ability to model strategic behavior
Strong background in
applied statistics and econometric modeling
Proficiency in
Python or R
with strong
SQL
skills to work with
large‑scale, noisy, real‑world data
Hands‑on experience with
statistical modeling (linear, GLM, panel data), causal inference techniques, hypothesis testing, and uncertainty quantification
Strong
analytical thinking
and a passion for
empirical, data‑driven research
to explore and answer complex questions
Familiarity with AI‑driven systems, tools, or workflows and applying AI/ML concepts to real world products
Excellent
written and verbal communication skills , with the ability to clearly convey complex quantitative analysis, methodologies, and insights to diverse stakeholders
Preferred Qualifications
Experience in
advertising, auctions, ranking, or marketplace platforms
Experience with
incrementality measurement
in production environments
Track record of delivering actionable insights from experimental design, causal inference, or large‑scale data analysis
Demonstrated leadership in designing, implementing, and scaling AI/ML‑enabled solutions that improve business outcomes
Expertise in integrating generative AI tools to enhance economic modeling, scenario analysis, or forecasting applications
Background in
e‑commerce, travel, or large‑scale marketplaces
The total cash range for this position in Seattle is $184,500.00 to $258,000.00. Employees in this role have the potential to increase their pay up to $295,000.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role.
Starting pay for this role will vary based on multiple factors, including location, available budget, and an individual’s knowledge, skills, and experience. Pay ranges may be modified in the future.
Accommodation requests If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodations Request.
Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. This employer participates in E‑Verify. The employer will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee’s I‑9 to confirm work authorization.
#J-18808-Ljbffr
Why Join Us? To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated, and when one of us wins, we all win.
We provide a full benefits package, including exciting travel perks, generous time‑off, parental leave, a flexible work model (with some pretty cool offices), and career development resources to fuel our employees' passion for travel and ensure a rewarding career journey. We’re building a more open world. Join us.
Senior Applied Economist - Advertising Technology Introduction to the Team Expedia Technology teams partner with our Product teams to create innovative products, services, and tools to deliver high‑quality experiences for travelers, partners, and our employees. A singular technology platform powered by data and machine learning provides secure, differentiated, and personalized experiences that drive loyalty and traveler satisfaction.
We are seeking an
Economist
to join our high‑performing Advertising Technology team to drive rigorous, data‑driven decisions across
auction design, ad relevance, incrementality measurement, and marketplace optimization . This role sits at the intersection of
economic theory, applied statistics, econometric modeling, experimentation, and large‑scale ad systems , influencing how ads are ranked, priced, and evaluated in production.
In this role, you will:
Analyze and improve
ad auction mechanisms
(pricing, bidding, pacing) and model advertiser behavior to balance revenue, ROI, relevance, and user experience
Define and evaluate
ad relevance signals
using statistical and econometric methods to ensure incentive‑aligned metrics
Design and analyze
incrementality and causal experiments
(geo tests, holdouts, switchbacks) to measure true lift and avoid cannibalization
Build and validate
econometric and causal models
to understand marketplace dynamics, pricing, and long‑term health
Conduct advanced
data analysis
to inform product strategy, policy decisions, and marketplace optimization
Collaborate cross‑functionally with
product, engineering, and ML teams
to drive experimentation and data‑driven decisions at scale
Communicate
clear, actionable insights
to technical and non‑technical stakeholders
Minimum Qualifications
Master’s or PhD in
Economics, Applied Economics, Econometrics, Statistics, Operations Research , or a related quantitative field
Solid foundation in
microeconomic theory and game theory , with the ability to model strategic behavior
Strong background in
applied statistics and econometric modeling
Proficiency in
Python or R
with strong
SQL
skills to work with
large‑scale, noisy, real‑world data
Hands‑on experience with
statistical modeling (linear, GLM, panel data), causal inference techniques, hypothesis testing, and uncertainty quantification
Strong
analytical thinking
and a passion for
empirical, data‑driven research
to explore and answer complex questions
Familiarity with AI‑driven systems, tools, or workflows and applying AI/ML concepts to real world products
Excellent
written and verbal communication skills , with the ability to clearly convey complex quantitative analysis, methodologies, and insights to diverse stakeholders
Preferred Qualifications
Experience in
advertising, auctions, ranking, or marketplace platforms
Experience with
incrementality measurement
in production environments
Track record of delivering actionable insights from experimental design, causal inference, or large‑scale data analysis
Demonstrated leadership in designing, implementing, and scaling AI/ML‑enabled solutions that improve business outcomes
Expertise in integrating generative AI tools to enhance economic modeling, scenario analysis, or forecasting applications
Background in
e‑commerce, travel, or large‑scale marketplaces
The total cash range for this position in Seattle is $184,500.00 to $258,000.00. Employees in this role have the potential to increase their pay up to $295,000.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role.
Starting pay for this role will vary based on multiple factors, including location, available budget, and an individual’s knowledge, skills, and experience. Pay ranges may be modified in the future.
Accommodation requests If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodations Request.
Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. This employer participates in E‑Verify. The employer will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee’s I‑9 to confirm work authorization.
#J-18808-Ljbffr