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Senior Economist

173 000 - 242 500$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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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

hirify.global 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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