Economist III

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. Introduction To The Team: Expedia Group's Economics and Experimentation Science team is looking for an Economist to support causal inference and marketplace measurement work that impacts billions of dollars in transaction value across one of the world's largest travel platforms. You'll help tackle high-stakes problems, including measuring incrementality in two-sided marketplaces, quantifying long-term value of customer behavior signals, and applying quasi-experimental methods to evaluate product changes that can't be measured using A/B testing alone. Your work will help inform how Expedia Group balances traveler experience, partner economics, and platform health. This is an individual contributor role with room to grow. You'll contribute to method development initiatives under the guidance of senior team members, build technical skill in causal inference, and partner closely with ML engineers, data scientists, analysts, and product leaders who value rigorous econometric thinking. Responsibilities Build econometric models (panel data methods, DiD, RDD, IV) to help measure elasticity, changes in supplier behavior, and customer lifetime value in the presence of endogeneity, simultaneity, and platform dynamics Support the development of long-term impact measurement approaches, helping the team move beyond short-term experiment metrics toward quantifying sustained effects on customer retention, partner engagement, and marketplace equilibrium Assist in designing and executing causal measurement frameworks for marketplace interventions, including geo experiments, difference‑in‑differences, synthetic controls, and instrumental variable approaches Partner with ML teams to help integrate causal inference into production systems, supporting ranking algorithms, pricing optimization, and recommendation engines with econometrically validated insights Translate econometric findings into clear, well‑organized analysis and visualizations that support product decisions, and present results to stakeholders with clarity Collaborate with data scientists and economists across the organization, contributing to a culture of rigorous causal reasoning and experimental design Experience and Qualifications Master’s degree in Economics, Applied Economics, Econometrics, Statistics, or a related quantitative field; or Bachelor's degree with equivalent related professional experience 0‑3 years of relevant professional experience Solid foundation in microeconomic theory and applied econometrics, with developing ability to apply appropriate causal inference techniques Exposure to applying econometric methods to real‑world business problems, in tech, e‑commerce, or marketplace environments preferred Working knowledge of causal inference tools such as IV, DiD, RDD, synthetic controls, panel data methods, and experimental design Proficiency in Python or R with strong SQL skills to work with large‑scale, noisy, real‑world data, including the ability to query and process data Proficient communication skills: ability to explain econometric methodology, identifying assumptions, and business implications to non‑technical audiences Ability to work both collaboratively and autonomously in a fast‑paced business environment Preferred Qualifications PhD in Economics, Applied Economics, Econometrics, Statistics, or a related quantitative field Coursework, research, or working papers involving applied economics, econometrics, or quantitative methods Exposure to marketplace or platform economics: two‑sided markets, network effects, dynamic pricing, or general equilibrium modeling Exposure to metalearners, doubleML, or causal forests Familiarity with modern AI/ML workflows and LLM‑assisted analysis tools The total cash range for this position in Seattle is $137,500.00 to $192,500.00. Employees in this role have the potential to increase their pay up to $220,000.00, 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. Benefits and perks medical, dental and vision coverage paid time off an Employee Assistance Program wellness and travel reimbursement travel discounts International Airlines Travel Agent Network (IATAN) membership 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. 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. #J-18808-Ljbffr 11105 Expedia, Inc.