At Expedia Group, we help travelers explore the world, one journey at a time. As a global travel company powered by passionate people, trusted partnerships, and leading technology, we connect travelers, partners, and advertisers through our consumer brands, B2B network, and travel advertising business.
Here, you'll do meaningful work that helps millions of people discover, book, and experience travel with more ease, confidence, and joy. Our five Behaviors-Traveler First, Think Big, Operate with Excellence, Ownership Mindset, and Succeed Together-help foster a supportive environment where people can grow their careers and have the flexibility, benefits, and support to do their best work. Join us and build for travelers everywhere.
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.
You will work closely with Data Science, Machine Learning, Engineering, Product, and Operations to translate statistically and economically sound analysis into scalable marketplace improvements.
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
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.
Benefits and perks
Expedia Group offers benefits and perks designed to support employees and their families, including medical, dental, and vision coverage, paid time off, an Employee Assistance Program, wellness and travel reimbursement, travel discounts, and International Airlines Travel Agent Network (IATAN) membership. Learn more about life at Expedia Group at https://careers.expediggroup.com/life.
Accommodation requests
Expedia Group is committed to providing an inclusive and accessible recruiting experience. If you need an accommodation or adjustment due to a disability during the application or recruiting process, please submit a request at https://expedia.service-now.com/askeg?id=job_accommodation.
About Expedia Group
Expedia Group includes three flagship consumer brands - Expedia, Hotels.com, and Vrbo - along with a leading B2B travel business and travel advertising offerings. Across our brands and business, we help travelers explore the world with confidence and ease.
Important notice
Employment opportunities and job offers at Expedia Group will always come from Expedia Group's Talent Acquisition and hiring teams. Never share sensitive personal information unless you are confident of the recipient. Expedia Group does not extend job offers via email or messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official place to find and apply for roles is https://careers.expediagroup.com/jobs/.
Equal Opportunity
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, veteran status, or any other characteristic protected by law. 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.