Microsoft Data Scientist Interview Questions

3700+ verified questions, indexed by team and level. Real questions submitted by candidates who completed Microsoft loops in the last 24 months.

About the Microsoft Data Scientist hiring loop

Microsoft uses the SE → Senior SE → Principal → Partner ladder. System design assumes Azure-native primitives (Cosmos DB, Service Fabric, AKS, Front Door). Behavioural rounds reward Growth Mindset framing over STAR. Questions indexed by org (Azure, M365, Xbox, GitHub, LinkedIn, Bing).

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 Microsoft 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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