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Prep plan
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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 daily.

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1
Machine LearningStart here. 3 questions · ~26 min
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
Hypothesis Functions of ML AlgorithmsHard
Recently asked

Explain and implement hypothesis functions for common supervised learning algorithms, then compare their assumptions, flexibility, and evaluation behavior.

model selectionModel EvaluationSupervised LearningMMsft
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2
A/B Testing & Experimentation5 questions · ~44 min
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
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
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3
Product Sense4 questions · ~35 min
Investigating Engagement Metric DropsMedium
Recently asked

Tests structured root-cause analysis for sudden engagement metric regressions.

product metricsroot cause analysisEngagement MetricsMMsft
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4
Behavioral & Leadership4 questions · ~35 min
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5
More topics4 questions · ~35 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
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
Validating Models with StatisticsMedium
Recently asked

Tests your understanding of validation approaches like cross-validation and statistical testing.

model validationModel EvaluationMMsft
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Hands-on SQL practiceWrite and run real queries in the editor. 2 drills · ~20 min
The finish line: interview-readyComplete all 20 questions plus 2 hands-on drills to finish this plan.