Amazon Data Scientist Interview Questions

5200+ verified questions, indexed by team and level. Real questions submitted by candidates who completed Amazon loops in the last 24 months.

About the Amazon Data Scientist hiring loop

Amazon rounds anchor every behavioural question to one or more of the 16 Leadership Principles. A dedicated Bar Raiser has veto power on offers. Questions are filtered to role and indexed by org (Retail, AWS, Alexa, Ads, Devices, Ring).

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 Amazon 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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