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Prep plan
Updated weekly · Last refresh Oct 17

Chase Data Scientist Interview Questions

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

39questions
~6htotal time
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1
SQL & Data ManipulationStart here. 7 questions + 1 drill · ~71 min
2
A/B Testing & Experimentation3 questions · ~26 min
Design Experiment for Product ChangeHard

Design an end-to-end A/B test for a new product change, including metrics, MDE, power, randomization, and launch decision rules.

ExperimentationGuardrail MetricsA/B TestingChase
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3
Machine Learning9 questions · ~78 min
Optimizing Model PerformanceMedium

Explain how to improve model performance using validation, regularization, and tuning while protecting generalization.

Hyperparameter TuningCross-ValidationBias-Variance TradeoffChase
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4
Metrics4 questions · ~35 min
Diagnose Churn by Customer SegmentMedium

Investigate why one customer segment drives most churn and what actions to take.

User SegmentsChurnDiagnosisChase
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5
Behavioral & Leadership10 questions · ~87 min
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6
More topics6 questions · ~52 min
Measure Patient Onboarding SuccessMedium

Build a measurement framework for a new patient onboarding feature, with clear success metrics, guardrails, and decision criteria.

Success Criteriaonboardinguser valueChase
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 SignificanceChase
Evaluate Models in ProductionHard

How to evaluate a production model using calibration, thresholds, and confusion matrix tradeoffs.

CalibrationAccuracyThreshold TuningChase
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The finish line: interview-readyComplete all 39 questions plus 1 hands-on drill to finish this plan.