Meta Data Scientist Interview Questions

4100+ verified questions, indexed by team and level. Real questions submitted by candidates who completed Meta loops in the last 24 months.

About the Meta Data Scientist hiring loop

Meta's loop is two product-coding rounds, a system design (E5+), and two behavioural rounds against Meta's five values. Questions are filtered to role and indexed by org (Instagram, WhatsApp, Messenger, Reality Labs, core Meta, Ads).

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 Meta 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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Other Meta roles

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