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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. We build products that help guests find the inventory most relevant to them in our marketplace. As a Senior Staff Data Scientist, you will lead innovation efforts to build methodologies to identify and evaluate the preferences important to every guest, at every step of their online discovery funnel. You will be instrumental in shaping our data strategy to drive guest conversion and regular engagement with the Airbnb platform across our Homes, Experiences and Services business verticals. This role emphasizes technical excellence and driving business impact with cutting-edge science. Your role will involve close collaboration with Product to identify in-product optimizations and shape UX design architecture to path how guests navigate from surface-to-surface in our app.
Job Responsibility:
Learn: 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
Partner: With product and engineering, drive technical frameworks and science leadership to explore innovative paradigms for detecting revealed preferences and quantifying online frictions
Build: 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
Evaluate: 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
Influence: Regularly present findings and recommendations to leadership audiences to inform strategy and cross-functional deliverables
Requirements:
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 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