Staff Data Scientist, Causal Inference

Job Description

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: You will join the Guest and Host Data Science organization, which powers products and data-driven decisions over Airbnb’s marketplace of Guest and Hosts. You will join a collaborative team of data scientists, analysts, engineers, product managers and designers who build, launch and iterate on our product roadmap to drive growth and deeper sophistication through experimentation, modeling, foundational tools and insights. Our work is core to ensuring that Airbnb’s strategy roadmap stays highly relevant for our users while supporting the long-term health of our marketplace. We work directly with decision makers in engineering and product to develop data-driven frameworks, technical solutions, evaluate product changes and guide the company through rigorous measurement and modeling. The Difference You Will Make: Under this general application, you will be considered for applications over several tracks. Growth Product Data Science Partner directly on growth initiatives to build, ship, measure incrementality of bookings/attach rate/revenue, and optimize 0-to-1 customer-facing features Thought partnership with Product to define strategy, sequence iteration, scale impact via science frameworks and as the go-to tech lead around data, experimentation, and domain understanding Build observational causal inference models to deeply understand guest intent, identify underlying mechanisms, and build data products to measure impact, and inform feature objectives and tradeoffs Champion AI-enabled Product Understanding, to scale data-driven frameworks, robust measurement, and compelling storytelling of data learnings to guide recommendations and roadmaps with senior leaders Pricing Data Science Develop a pricing guidance system for hosts as well as experimental and observational methods to measure the impact of pricing feature launches. Collaborate with product and cross-functional teams to pioneer pricing strategies and translate advanced modeling into actionable recommendations Develop foundational models and experimental approaches that balance supply and demand in the marketplace, leveraging empirical methods to assess and iterate on pricing feature impact Craft compelling data narratives to surface actionable insights, empower data-driven decision making and influence the future direction of A

Required Skills