Uber Data Scientist Interview Questions

1300+ verified questions, indexed by team and level. Real questions submitted by candidates who completed Uber loops in the last 24 months.

About the Uber Data Scientist hiring loop

Uber's system design is the headline round — real-time location services, surge pricing, dispatch algorithms. Coding rounds are LeetCode-medium. Behavioural rounds anchor on the "Uber values" (refreshed in 2022) — Customer Obsession, Build with Heart, Stand for Safety.

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 Uber 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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