The opportunity
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…
What you'll do
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.
If you’re passionate about going deep into personalized user experiences, we want to hear from you!
What they're looking for
- 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.
- + years of industry experience with a PhD (or 12+ years with a Masters)
