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Updated weekly · Last refresh Sep 9

Jpmorgan Chase & Data Scientist Interview Questions

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

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1
SQL & Data ManipulationStart here. 3 questions + 2 drills · ~45 min
Analyze Customer Purchase Trends with Window FunctionsEasy
Practice
Recently asked

Calculate the monthly spending trends for customers using window functions and joins.

Jpmorgan Chase &
SQL, Power BI, and Python BasicsMedium
Practice
Practice drill

Calculate completed order totals per customer using a join, aggregation, NULL handling, and spending classification.

JoinsCase WhensqlAccenture
SQL and Python Data WorkMedium
Practice
Practice drill

Use a CTE, join, and conditional aggregation to summarize valid monthly user activity.

JoinsData ManipulationsqlAdobe
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2
A/B Testing & Experimentation3 questions · ~25 min
Pitfalls in Streaming Experiment AnalysisHard
Recently asked

Identify major online experiment pitfalls and explain how they can bias results in a streaming product A/B test.

Network InterferenceNovelty EffectSample Ratio MismatchJpmorgan Chase &
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3
Machine Learning9 questions · ~75 min
Supervised vs Unsupervised LearningEasy
Recently asked

Tests your understanding of learning paradigms and when to apply each.

Unsupervised LearningSupervised LearningJpmorgan Chase &
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4
NLP3 questions · ~25 min
Evolution of LLM MethodsHard
Recently asked

Assesses depth of knowledge of modern language model approaches and their progression.

llmAlgorithmsJpmorgan Chase &
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5
Behavioral & Leadership14 questions · ~117 min
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6
More topics10 questions · ~84 min
Evaluating Observed Lift SignificanceMedium
Recently asked

Explain how to test whether an observed experiment lift is real using hypothesis testing, p-values, and confidence intervals.

Confidence IntervalsStatistical SignificanceP-ValuesJpmorgan Chase &
Diagnose Conversion Drop Post LaunchMedium
Recently asked

Diagnose why conversion fell from 4.8% to 3.1% after a launch by breaking the metric across funnel steps, cohorts, and segments.

Funnel AnalysisConversion RateDiagnosisJpmorgan Chase &
Monitoring Generative AI in ProductionMedium
Recently asked

Tests ability to define evaluation and monitoring for production generative systems.

Evaluation TechniquesModel MetricsJpmorgan Chase &
North Star Metrics for Merchant AIMedium
Recently asked

Tests product sense for metric design and KPI selection for merchant AI experiences.

North Star MetricKPIsUser NeedsJpmorgan Chase &
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The finish line: interview-readyComplete all 42 questions plus 2 hands-on drills to finish this plan.