Google Data Scientist Interview Questions

4800+ verified questions, indexed by team and level. Real questions submitted by candidates who completed Google loops in the last 24 months.

About the Google Data Scientist hiring loop

Google rounds are scored on four axes: GCA (general cognitive ability), RRK (role-related knowledge), leadership, and Googleyness. Questions are filtered to the specified role and indexed by team (Search, Cloud, YouTube, Ads, Pixel, DeepMind, Verily, Waymo).

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 Google 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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