Senior Economist

About this role

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.

Senior Economist  

Expedia Group's Economics and Experimentation Science team is looking for a   Senior Economist   to drive causal inference and marketplace optimization at scale— impacting   billions of dollars in transaction value across one of the world's largest travel platforms.   

You'll   tackle high-stakes problems, including   measuring incrementality   in two-sided marketplaces, quantifying long-term value of customer behavior signals, and   designing quasi-experimental methods   to evaluate product changes that   can't   be measured using A/B testing techniques. Your work will directly shape how Expedia Group balances   traveler   experience, partner economics, and platform health.   

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

In this role, you will:    

• 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   

• 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   

• 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   

• Partner with ML teams to   integrate causal inference into production   systems, informing ranking algorithms, pricing optimization, and recommendation engines with econometrically validated insights   

• Translate complex econometric findings   into 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 in   microeconomic theory and applied econometrics , with the ability to apply   appropriate causal   inference techniques   

• Demonstrated   experience applying econometric methods   to real-world business problems in tech, e-commerce, or marketplace environments   

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

• 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  

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

• Exceptional communication skills:   ability to explain econometric   methodology ,   identifying   assumptions, 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   

#LI-MC1

The total cash range for this position in Seattle is $173,000.00 to $242,500.00. Employees in this role have the potential to increase their pay up to $277,000.00, 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 Expedia Group offers benefits and perks designed to support employees and their families, including medical, dental, and vision coverage, paid time off, an Employee Assistance Program, wellness and travel reimbursement, travel discounts, and International Airlines Travel Agent Network (IATAN) membership. Learn more about life at Expedia Group at https://careers.expediggroup.com/life .

Accommodation requests Expedia Group is committed to providing an inclusive and accessible recruiting experience. If you need an accommodation or adjustment due to a disability during the application or recruiting process, please submit a requ

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