обновлено 1 день назад
Senior Economist
173 000 - 242 500$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Senior Economist (Causal Inference/Econometrics): Building scalable econometric models and causal measurement frameworks for a large two-sided travel marketplace with an accent on incrementality, long-term impact measurement, and marketplace optimization. Focus on designing quasi-experimental methods, integrating causal inference into ranking, pricing, and recommendation systems, and translating complex findings into executive product decisions.
Location: United States, Washington, Seattle
Salary: $173,000–$242,500 total cash annually, with potential pay up to $277,000 based on sustained performance.
Company
operates consumer travel brands including Expedia, Hotels.com, and Vrbo, alongside B2B travel and travel advertising businesses.
What you will do
- Build scalable econometric models using panel data methods, difference-in-differences, regression discontinuity, and instrumental variables.
- Develop long-term impact measurement for customer retention, partner engagement, and marketplace equilibrium.
- Design causal measurement frameworks, including geo experiments, synthetic controls, and instrumental variable approaches.
- Partner with ML teams to integrate causal inference into ranking, pricing optimization, recommendation, and other production systems.
- Translate econometric findings into executive narratives that guide product and business decisions.
- Mentor data scientists and economists while improving causal reasoning and experimental design.
Requirements
- PhD in Economics, Applied Economics, Econometrics, Statistics, or a related quantitative field.
- 8+ years of relevant professional experience.
- Strong foundation in microeconomic theory, applied econometrics, and causal inference.
- Experience applying econometric methods to business problems in technology, e-commerce, or marketplace environments.
- Expertise in IV, DiD, RDD, synthetic controls, panel data methods, experimental design, metalearners, doubleML, and causal forests.
- Proficiency in Python or R and strong SQL skills for large-scale, noisy datasets, with excellent communication skills for explaining methodology and business implications to executives.
Nice to have
- Publications or working papers in applied economics, econometrics, or quantitative methods.
- Experience with 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, LLM-assisted analysis tools, travel, e-commerce, or consumer marketplaces.
Culture & Benefits
- Medical, dental, and vision coverage.
- Paid time off and an Employee Assistance Program.
- Wellness and travel reimbursement.
- Travel discounts and IATAN membership.
- Inclusive and accessible recruiting experience with accommodation support.
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