Senior Economist - Advertising Technology

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.

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.

• 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

• 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

• 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-commer…