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Updated weekly · Last refresh Oct 17

MP DATA Data Scientist Interview Questions

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

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1
SQL & Data ManipulationStart here. 3 questions + 3 drills · ~55 min
Effective Joins in Data TransformationsEasy

Explain how to choose join types, handle NULLs, and avoid duplication when using joins in complex SQL transformations.

SubqueriesJoinsData WranglingMP DATA
Using SQL Window FunctionsMedium
Practice
Practice drill

Demonstrate LEAD, LAG, and RANK to compare employee usage across months and rank usage within each month.

Window FunctionsLag/LeadJoinsComcast
SQL Window Functions ExperienceMedium
Practice
Practice drill

Use SQL window functions to rank regions by average 2024 yield within each country.

Window FunctionsJoinsData ManipulationErnst & YoungKBRMaximus Tech
Window Functions for TrendsMedium
Practice
Practice drill

Calculate account-level running totals and three-row moving averages with PostgreSQL window functions.

Window FunctionsJoinsData ManipulationAAxtriaGGrowth IntelligenceGGrupo Astek
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2
Machine Learning6 questions · ~49 min
Choosing Interpretable vs Black-Box ModelsMedium

Explain how to choose between a simpler interpretable model and a more accurate black-box model.

Cross-ValidationBias-Variance TradeoffSupervised LearningMP DATA
Predictive Maintenance Failure ModelingHard

Design a machine learning system to predict equipment failures before they happen using sensor, event, and maintenance data.

Cross-ValidationFeature EngineeringSupervised LearningMP DATA
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3
Pipelines3 questions · ~25 min
CI CD for Data PipelinesMedium

Set up CI CD and automated testing for data pipelines so changes ship faster with fewer production issues.

ToolsOrchestrationQualityMP DATA
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4
Behavioral & Leadership5 questions · ~41 min
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5
More topics7 questions · ~57 min
Design Test for New FeatureMedium

Design an A/B test for a new platform feature, including success metrics, power, guardrails, and a clear ship decision.

experiment designfeature evaluationA/B TestingMP DATA
Design Feature Success MetricsMedium

Define one primary feature metric and a set of guardrails that capture user value without missing broader product risk.

North Star MetricKPIsGuardrail MetricsMP DATA
Statistical Significance in Hypothesis TestingEasy

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

Hypothesis TestingData AnalysisStatistical SignificanceMP DATA
Define Metrics for New FeaturesMedium

Define a success metric for a new feature that captures real user value, not just raw usage.

MetricsFeature Prioritizationuser valueMP DATA
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The finish line: interview-readyComplete all 24 questions plus 3 hands-on drills to finish this plan.