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JP Morgan Chase Data Scientist Interview Questions

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

50questions
~7htotal time
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1
SQL & Data ManipulationStart here. 11 questions + 1 drill · ~103 min
2
Machine Learning4 questions · ~34 min
Supervised vs Unsupervised LearningEasy
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Tests your understanding of learning paradigms and when to apply each.

Unsupervised LearningSupervised LearningJJP Morgan Chase
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3
Statistics & Probability3 questions · ~25 min
Regularization and Probability BasicsMedium
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Evaluates core statistics, probability, and regularization knowledge for data science work.

RegularizationprobabilityJJP Morgan Chase
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4
Metrics8 questions · ~68 min
Customer Location Change MetricsMedium
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Evaluates metric design and analytics thinking for customer behavior change at JP Morgan Chase.

behavioral questionsJJP Morgan Chase
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5
A/B Testing & Experimentation10 questions · ~85 min
Design A/B Test With MetricsMedium
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Evaluates experiment design, metric selection, and risk controls for JP Morgan Chase mobile banking.

experiment designMetricsJJP Morgan Chase
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6
Product Sense5 questions · ~42 min
Subscription Product Primary MetricsMedium
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Evaluates your ability to choose metrics that reflect value, retention, and revenue for subscriptions.

JJP Morgan Chase
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7
More topics9 questions · ~76 min
Evolution of LLM MethodsHard
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Assesses depth of knowledge of modern LLM approaches and their progression.

llmAlgorithmsJJP Morgan Chase
Model Performance MetricsEasy
Recently asked

Tests your ability to select appropriate metrics based on task type and business goals.

F1 ScoreAUC-ROCAccuracyJJP Morgan Chase
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The finish line: interview-readyComplete all 50 questions plus 1 hands-on drill to finish this plan.