Senior Economist

Expedia Group's Economics and Experimentation Science team is looking for aSenior Economistto drive causal inference and marketplace optimization at scale—impactingbillions of dollars in transaction value across one of the world's largest travel platforms. 

You'lltackle high-stakes problems, including measuring incrementalityin two-sided marketplaces, quantifying long-term value of customer behavior signals, anddesigning quasi-experimental methodsto evaluate product changes that can'tbe measured using A/B testing techniques. Your work will directly shape how Expedia Group balances travelerexperience, partner economics, and platform health. 

This is a senior individual contributor role with high autonomy.You' llown end-to-end method development initiatives, influence product strategy at the executive level, and set technical standards for causal inference across the organization. You' llcollaborate closely with ML engineers, data scientists, analysts, and product leaders who value rigorous econometric thinking.

In this role, you will:

• Build scalableeconometric models(panel data methods, DiD, RDD, IV) to measure elasticity, changes in supplier behavior, and customer lifetime value in the presence of endogeneity, simultaneity, and platform dynamics 

• Establish the technical roadmap forlong-term impact measurement, moving beyond short-term experiment metrics to quantify sustained effects on customer retention, partner engagement, and marketplace equilibrium 

• Design and executecausal measurementframeworks for marketplace interventions, including geo experiments, difference-in-differences, synthetic controls, and instrumental variable approaches, to isolate the true causal effect of product changes 

• Partner with ML teams tointegrate causal inference into productionsystems, informing ranking algorithms, pricing optimization, and recommendation engines with econometrically validated insights 

• Translate complex econometric findingsinto clear executive narratives that drive multi-million-dollar product decisions, presenting to executive stakeholders with clarity and conviction 

• Mentor data scientists and economists across the organization,elevating the rigor of causal reasoning and experimental design 

Experience and Qualifications: 

• PhD in Economics, Applied Economics, Econometrics, Statistics, or a related quantitative field 

• 8+ years of relevant professional experience 

• Solid foundation inmicroeconomic theory and applied econometrics, with the ability to applyappropriate causalinference techniques 

• Demonstratedexperience applying econometric methodsto real-world business problems in tech, e-commerce, or marketplace environments 

• Deepexpertisein the causal inference toolkit: IV,DiD, RDD, synthetic controls, panel data methods, experimental design,metalearners,doubleML, causal forests

• Proficiencyin Python or R with strong SQL skills to work with large-scale, noisy, real-world data, including the ability to query and process data

• Track recordof influencing product strategyor business decisions through rigorous quantitative analysis—ideally with examples of work that shipped to production 

• Exceptional communication skills:ability to explain econometricmethodology,identifyingassumptions, and business implications to non-technical executives 

• Ability to work in a fast-paced business environment

Preferred Qualifications 

• Publications or working papers in applied economics, econometrics, or quantitative methods (academic or industry venues) 

• Experience with marketplace or platform economics: two-sided markets, network effects, dynamic pricing, or general equilibrium modeling 

• Experience integrating causal models into ML pipelines or production systems 

• Familiarity with modern AI/ML workflows and LLM-assisted analysis tools 

• Background in travel, e-commerce, or large-scale consumer marketplaces