Senior Economist

Expedia Expedia · Hospitality · Seattle, WA

Expedia Group is seeking a Senior Economist to drive causal inference and marketplace optimization. This role involves building econometric models, establishing roadmaps for long-term impact measurement, designing causal measurement frameworks, and partnering with ML teams to integrate causal inference into production systems. The ideal candidate will have a PhD in Economics or a related field, extensive experience in econometrics and causal inference, and strong Python/R and SQL skills.

What you'd actually do

  1. Build scalable econometric 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
  2. Establish the technical roadmap for long-term impact measurement, moving beyond short-term experiment metrics to quantify sustained effects on customer retention, partner engagement, and marketplace equilibrium
  3. Design and execute causal measurement frameworks for marketplace interventions, including geo experiments, difference-in-differences, synthetic controls, and instrumental variable approaches, to isolate the true causal effect of product changes
  4. Partner with ML teams to integrate causal inference into production systems, informing ranking algorithms, pricing optimization, and recommendation engines with econometrically validated insights
  5. Translate complex econometric findings into clear executive narratives that drive multi-million-dollar product decisions, presenting to executive stakeholders with clarity and conviction

Skills

Required

  • PhD in Economics, Applied Economics, Econometrics, Statistics, or a related quantitative field
  • 8+ years of relevant professional experience
  • microeconomic theory and applied econometrics
  • causal inference toolkit: IV, DiD, RDD, synthetic controls, panel data methods, experimental design, metalearners, doubleML, causal forests
  • Python or R
  • SQL
  • large-scale, noisy, real-world data
  • influencing product strategy or business decisions
  • explain econometric methodology

Nice to have

  • Publications or working papers in applied economics, econometrics, or quantitative methods
  • marketplace or platform economics: two-sided markets, network effects, dynamic pricing, or general equilibrium modeling
  • integrating causal models into ML pipelines or production systems
  • modern AI/ML workflows and LLM-assisted analysis tools
  • travel, e-commerce, or large-scale consumer marketplaces

What the JD emphasized

  • measuring incrementality
  • designing quasi-experimental methods
  • long-term impact measurement
  • causal measurement
  • integrate causal inference into production
  • influencing product strategy
  • explain econometric methodology