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Prep plan
Updated weekly · Last refresh Oct 17

MSCI Data Scientist Interview Questions

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

50questions
~7htotal time
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1
SQL & Data ManipulationStart here. 3 questions + 1 drill · ~36 min
2
Product Sense5 questions · ~43 min
Design a New Engagement MetricHard

Define a meaningful engagement metric for a retail analytics mobile application and explain how to validate it.

product metricsMetricsuser engagementMSCI
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3
Statistics & Probability8 questions · ~69 min
Testing a Conversion Rate DropMedium

Explain how to test whether an observed 5% conversion rate drop is statistically significant in an experiment or before-after comparison.

Hypothesis TestingData AnalysisStatistical SignificanceMSCI
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4
Metrics4 questions · ~35 min
Investigate Metric DropMedium

Diagnose a below-expectations product metric drop using decomposition, guardrails, and experiment checks.

metric selectionDiagnosiskpi hierarchyMSCI
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5
A/B Testing & Experimentation7 questions · ~60 min
Discovery UI Metrics and GuardrailsMedium

Define primary and guardrail metrics for a discovery UI test, with power, MDE, and a pre-registered analysis plan.

ExperimentationGuardrail MetricsA/B TestingMSCI
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6
Machine Learning11 questions · ~95 min
Handling Missing Data in MLMedium

Explain practical strategies for handling missing data and how to validate that the chosen approach improves model performance.

Feature EngineeringData WranglingSupervised LearningMSCI
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7
More topics12 questions · ~104 min
Common Model Evaluation MetricsEasy

Explain common machine learning evaluation metrics and when each is useful.

PrecisionAccuracyRecallMSCI
Design a Client Risk Assessment ModelHard

Evaluates your system design thinking for ML models used in client-facing risk assessment.

ML RankingFeature StoreRecommendation SystemsMSCI
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The finish line: interview-readyComplete all 50 questions plus 1 hands-on drill to finish this plan.