Staff Data Scientist, Causal Inference

You will join the Guest and Host Data Science organization at Airbnb, which powers products and data-driven decisions over Airbnb's marketplace. As a Staff Data Scientist, Causal Inference, you will work on various tracks including Growth Product Data Science, Pricing Data Science, and Marketplace Optimization and Ranking.

In Growth Product Data Science, you will partner on growth initiatives to build, ship, and measure incrementality of bookings, and optimize customer-facing features. You will also build observational causal inference models to understand guest intent and identify underlying mechanisms.

In Pricing Data Science, you will develop a pricing guidance system for hosts and experimental methods to measure the impact of pricing feature launches. You will collaborate with product and cross-functional teams to pioneer pricing strategies and translate advanced modeling into actionable recommendations.

In Marketplace Optimization and Ranking, you will develop models and analytic frameworks that improve listing ranking and recommendation. You will partner with Machine Learning Engineers and Product to launch high-impact search improvements and design experiments to understand the impact of search and AI-driven product improvements.

The ideal candidate will have expertise in causal inference, machine learning techniques, and SQL. They will also have 9+ years of relevant industry experience and a Master's degree or PhD in a quantitative field. Strong coding skills in Python or R are required.

This position is US - Remote Eligible, and the role may include occasional work at an Airbnb office or attendance at offsites.