Airbnb is looking for a Data Scientist to join the Guest Data Science team to use AI and causal inference to understand user behavior, detect underlying intent, and build data products for a personalized app experience, ultimately driving guest conversion and engagement.
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)
- 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.
- Demonstrated willingness and track record of engagement with the technical community
Responsibilities
- 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.
- 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.
Other
- Lead innovation efforts to build methodologies to identify and evaluate the preferences important to every guest, at every step of their online discovery funnel.
- 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.
- 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.
- Hold a high bar for our customer experience and balance a passion for AI with a strong desire to accurately understand user behavior and business success.
- Strong in communication with XFN partners in product, engineering, and design to enable data-driven product development with a focus on the user experience.
- Proven ability to succeed in both collaborative and independent work environments
