Economist III (Causal Inference)

Location: Seattle, Washington, United States

Salary: $137,500–$192,500 annual total cash range; potential pay up to $220,000 based on sustained performance.

Company

hirify.global is a global travel company operating consumer brands, a B2B travel network, and travel advertising businesses.

What you will do

• Build econometric models using panel data, difference-in-differences, regression discontinuity, and instrumental variables.
• Develop long-term impact measurement approaches for customer retention, partner engagement, and marketplace equilibrium.
• Design causal measurement frameworks for marketplace interventions, including geo experiments and synthetic controls.
• Partner with machine learning teams on ranking, pricing optimization, and recommendation systems.
• Translate econometric findings into clear analyses and visualizations for product decisions.
• Collaborate with data scientists, economists, analysts, ML engineers, and product leaders.

Requirements

• Master’s degree in economics, applied economics, econometrics, statistics, or a related quantitative field, or a bachelor’s degree with equivalent professional experience.
• 0–3 years of relevant professional experience.
• Foundation in microeconomic theory and applied econometrics, with developing causal inference skills.
• Working knowledge of IV, DiD, RDD, synthetic controls, panel data methods, and experimental design.
• Proficiency in Python or R and strong SQL skills for large-scale data analysis.
• Clear communication skills and the ability to work collaboratively and autonomously.

Nice to have

• PhD or research experience in economics, econometrics, statistics, or a related quantitative field.
• Exposure to marketplace economics, two-sided markets, network effects, dynamic pricing, or general equilibrium modeling.
• Experience with metalearners, doubleML, or causal forests.
• Familiarity with modern AI/ML workflows and LLM-assisted analysis tools.

Culture & Benefits

• Full-time employee position with medical, dental, and vision coverage.
• Paid time off and an Employee Assistance Program.
• Wellness and travel reimbursement.
• Travel discounts and IATAN membership.
• Collaborative environment focused on rigorous causal reasoning and experimental design.