Senior Staff Data Scientist

Summary

Join Airbnb's Guest Experience team as a Senior Staff Data Scientist and lead innovation in building methodologies to identify and evaluate guest preferences. You will shape data strategy to drive guest conversion and engagement across various business verticals. This role emphasizes technical excellence and business impact, involving collaboration with Product to optimize in-product experiences and shape UX design. The ideal candidate is a domain expert in user behavior and sequence datasets in a marketplace setting, passionate about AI and accurately understanding user behavior. You will develop deep understanding of guest app navigation, partner with product and engineering, build data frameworks and models, evaluate assumptions and efficacy of guest preferences, and present findings to leadership. This US-remote eligible position requires causal inference expertise with marketplace experience and an advanced degree in a related field.

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

Responsibilities

• 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

Preferred Qualifications

Preferred domain experience in search, UX discovery, personalized evidence systems

Benefits

• Bonus
• Equity
• Benefits
• Employee Travel Credits