Senior Staff Data Scientist, Guest & Host Marketplace AI

## Responsibilities - Lead innovation efforts to build methodologies to identify and evaluate the preferences important to every guest, at every step of their online discovery funnel. - Shape data strategy to drive guest conversion and regular engagement with the Airbnb platform across Homes, Experiences, and Services business verticals. - Collaborate closely with Product to identify in-product optimizations and shape UX design architecture to path how guests navigate from surface-to-surface in the app. - Develop deep understanding of how guests navigate and re-engage with the app via analysis, research, and 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. - 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. ## Requirements - Causal inference expertise with marketplace experience. - 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 in communication with XFN partners in product, engineering, and design to enable data-driven product development with a focus on the user experience. - Expert in at least one programming language for data analysis (Python or R) with familiarity in SQL. Comfort with developing proof-of-concept prototypes. Passionate about AI and possessing a learner’s mindset towards LLMs and dynamic systems. - Proven ability to succeed in both collaborative and independent work environments. - Demonstrated willingness and track record of engagement with the technical community. ## Nice to Have - Preferred domain experience in search, UX discovery, personalized evidence systems. ## Benefits - Remote eligibility with occasional in-office work. - Opportunity to work on impactful AI and data science projects. - Collaborative and innovative work environment.