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Msft Data Scientist Interview Questions

The questions to prepare for a Msft Data Scientist interview. Questions from real interview reports rank first. Updated weekly.

10questions
~2htotal time
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1
A/B Testing & ExperimentationStart here. 3 questions · ~29 min
Common Pitfalls in Experiment ResultsHard
Recently asked

Identify the main pitfalls that can distort A/B test interpretation and explain how to guard against them.

PeekingNovelty EffectSample Ratio MismatchMMsft
Power Analysis for Survey ExperimentHard
Recently asked

Determine sample size and power for a customer survey or experiment, including MDE, guardrails, and a disciplined decision rule.

MDEPower AnalysisSample SizeMMsft
Measure Interference in Customer Change TestHard
Recently asked

Design an experiment when treatment spills across customers and contaminates the control group.

Network InterferenceSwitchback TestsA/B TestingMMsft
2
Behavioral & Leadership4 questions · ~38 min
Pivoting Strategy From Project DataMedium
Recently asked

Tests data-driven decision making, ownership, and change leadership when project metrics indicate the original plan should change.

Decision Makingproject dataadaptabilityMMsft
Explaining a Technical Concept ClearlyEasy
Recently asked

Tests communication, ownership, and stakeholder management when translating technical complexity into actionable business understanding.

Problem SolvingData Structurestechnical fundamentalsMMsft
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3
More topics3 questions · ~29 min
7-Day Rolling Active UsersMedium
Practice
Recently asked

Compute daily active users and a 7-day rolling average using a CTE, distinct counts, and window functions.

Window FunctionsDate FunctionsRunning TotalsMMsft
Overfitting and Generalization ControlEasy
Recently asked

Explain what overfitting is, how to detect it, and the main techniques used to improve generalization.

Cross-ValidationBias-Variance TradeoffRegularizationMMsft
Statistical Significance in Hypothesis TestingEasy
Recently asked

Explain what statistical significance means and why it matters when interpreting experimental or analytical results.

Hypothesis TestingData AnalysisStatistical SignificanceMMsft

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Hands-on SQL practiceWrite and run real queries in the editor. 2 drills · ~20 min
Customer Transaction Running TotalsEasy
Practice
Practice drill

Calculate each customer's cumulative transaction amount over time using a CTE and window function.

Window FunctionsDate FunctionsRunning TotalsBanco SantanderAnzBank Of Tokyo-Mitsubishi UFJ
Rolling 7-Day System Error AverageMedium
Practice
Practice drill

Calculate a rolling 7-day average of system error counts using window functions and date-based aggregation.

Window FunctionsDate FunctionsRunning TotalsDatadogToyotaAgile Defense
The finish line: interview-readyComplete all 10 questions plus 2 hands-on drills to finish this plan.