Senior Economist - Advertising Technology

Senior Applied Economist – Advertising Technology 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 economics, applied statistics, econometric modeling, experimentation, and large‑scale ad systems, influencing how ads are ranked, priced, and evaluated in production. Responsibilities 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. Excellent written and verbal communication skills. 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. Salary Base range: $184,500.00 – $258,000.00 (Seattle). Pay may increase up to $295,000.00 based on performance. Benefits Full benefits package including medical/dental/vision, paid time off, Employee Assistance Program, wellness & travel reimbursement, travel discounts, and International Airlines Travel Agent (IATAN) membership. Equal Employment Opportunity Statement Expedia Group is committed to creating an inclusive work environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, genderidentity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or any other characteristic protected by law. This employer participates in E‑Verify. #J-18808-Ljbffr