Airbnb Data Scientist (Staff Level) Interview Preparation Guide

Airbnb's Data Scientist interview process for Staff level (12+ years) is a rigorous, multi-stage evaluation spanning 4-6 weeks. The process assesses technical mastery, strategic thinking, business acumen, leadership capability, and cultural alignment. Staff-level candidates navigate seven interview stages: recruiter screening, technical phone screen, take-home challenge, and four distinct onsite rounds covering advanced SQL/data manipulation, machine learning system design, product analytics and A/B testing, and behavioral/cultural fit. Across all rounds, Airbnb evaluates candidates on their ability to solve complex data problems at scale, mentor senior colleagues, drive cross-functional initiatives, and embody core values of Belonging, Innovation, Integrity, and Curiosity.