Senior Staff Data Scientist, Guest & Host Marketplace AI

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: Guest Experience is responsible for Search and Discovery, Merchandising, and end-to-end online software experience worldwide from top-of-funnel discovery through post-booking engagement. We are looking for a talented Data Scientist to join the Guest Data Science team. This tech lead will be at the core of using AI and casual inference to understand user behavior in our app, detect underlying intent, and to build data products needed to provide a compelling and personalized experience of our app.

• Develop deep understanding of how guests navigate and re-engage with our app via analysis, research, and by leveraging granular user action and sequence datasets.
• Drive technical frameworks and science leadership to explore innovative paradigms for detecting revealed preferences and quantifying online frictions in partnership with product and engineering.
• Write code for prototypes to detect and quantify taxonomy of guest preferences via iterative development of data frameworks, models and artefacts derived from AI toolkits.
• Assess assumptions and efficacy of derived guest preferences via measurement and validating hypotheses linked to online guest action and engagement.
• Setup experiments and data feedback loops to own a high bar over continuous impact.
• Regularly present findings and recommendations to leadership audiences to inform strategy and cross-functional deliverables.

• Causal inference expertise with marketplace experience.
• Preferred domain experience in search, UX discovery, personalized evidence systems.
• Advanced degree in Computer Science, Statistics, Econometrics or related field.
• 9+ years of industry experience with a PhD (or 12+ years with a Masters).
• Strong communication skills with cross-functional partners in product, engineering, and design.
• Expert in at least one programming language for data analysis (Python or R) with familiarity in SQL.
• Proven ability to succeed in both collaborative and independent work environments.
• Demonstrated willingness and track record of engagement with the technical community.