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Updated weekly · Last refresh Oct 16

McKesson Data Scientist Interview Questions

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

35questions
~5htotal time
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1
A/B Testing & ExperimentationStart here. 3 questions · ~24 min
2
Machine Learning9 questions · ~73 min
Prevent Overfitting in ML ModelsEasy

Explain how to reduce overfitting using regularization, validation, and model selection.

Cross-ValidationBias-Variance TradeoffRegularizationMcKesson
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3
SQL & Data Manipulation4 questions + 3 drills · ~62 min
4
Behavioral & Leadership11 questions · ~89 min
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5
More topics8 questions · ~65 min
Evaluate Regression with RMSE and MAEEasy

Explain how to evaluate a regression model with RMSE and MAE, and how to interpret the tradeoff between average and large errors.

RegressionMAERMSEMcKesson
Choosing a Significance TestEasy

Explain how to choose an appropriate significance test based on metric type, study design, and the null hypothesis.

Confidence IntervalsHypothesis TestingStatistical SignificanceMcKesson
First Checks for Metric DropsEasy

Outline the first checks to diagnose a sudden drop in a core product metric, starting with data quality, scope, and decomposition.

Lagging IndicatorsLeading IndicatorsDiagnosisMcKesson
New Experimental Division ScenarioHard

Assesses your ability to structure an uncertain system design effort with clear tradeoffs and milestones.

Problem SolvingMcKesson
Healthcare Metric FrameworkMedium

Tests your ability to define metrics and connect them to outcomes for healthcare workflow products.

North Star MetricKPIsUser NeedsMcKesson
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