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Prep plan
Updated weekly · Last refresh Sep 9

J.P. Morgan Data Scientist Interview Questions

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

36questions
~5htotal time
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1
Statistics & ProbabilityStart here. 4 questions · ~32 min
2
SQL & Data Manipulation4 questions + 3 drills · ~62 min
3
Machine Learning6 questions · ~48 min
End-to-End ML ImplementationHard

Evaluates end-to-end ownership from modeling through evaluation and deployment readiness.

J.P. Morgan
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4
Behavioral & Leadership12 questions · ~96 min
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5
More topics10 questions · ~80 min
Model Performance EvaluationEasy

Tests your ability to select metrics, validation strategy, and interpret results for ML models.

PrecisionAccuracyRecallJ.P. Morgan
Design LLM Document AgentHard

Evaluates your ability to design LLM systems and define rigorous evaluation metrics.

performance metricsJ.P. Morgan
Resume Tools WalkthroughEasy

Assesses whether you can justify and contextualize the tools you claim to use.

ToolsJ.P. Morgan
Production-Ready Scalable CodeMedium

Tests engineering practices for reliability, performance, and maintainability in production.

code qualityscalabilityJ.P. Morgan
Successful Data Pipeline ComponentsMedium

Tests your end-to-end pipeline design knowledge including ingestion, processing, orchestration, and monitoring.

successdata pipelineJ.P. Morgan
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The finish line: interview-readyComplete all 36 questions plus 3 hands-on drills to finish this plan.