Airbnb Data Scientist Interview Questions

1100+ verified questions, indexed by team and level. Real questions submitted by candidates who completed Airbnb loops in the last 24 months.

About the Airbnb Data Scientist hiring loop

Airbnb interviews are unusually frontend-heavy (React internals, accessibility, design systems). System design covers search ranking, pricing, and trust/safety pipelines. The "Core Values" round is mandatory — alignment with Airbnb's mission is scored explicitly.

Data Science rounds score on statistical rigour, metric definition quality, SQL fluency, framework clarity for case studies, and communication of uncertainty. Companies weight experimental design vs ML modelling differently.

Topics covered in Airbnb Data Scientist interviews

  • 01Probability + statistics (hypothesis tests, A/B testing, p-values)
  • 02SQL fluency under time pressure
  • 03Machine learning fundamentals (bias-variance, regularisation, evaluation metrics)
  • 04Experimental design (sample size, power, interference)
  • 05Analytical case studies with metric definition
  • 06Stakeholder communication of statistical results

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