McKesson Data Scientist Interview Questions
The questions to prepare for a McKesson Data Scientist interview. Questions from real interview reports rank first. Updated weekly.
Design an A/B test for a new platform feature, including success metrics, power, guardrails, and a clear ship decision.
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Explain how to choose an appropriate significance test based on metric type, study design, and the null hypothesis.
McKessonTests your ability to reason about algorithmic complexity for common data operations.
McKessonFind the second highest salary in each department without using aggregate functions.
Credit Genie
Devoteam
Cisco Restaurant + BarUse ROW_NUMBER() to keep the earliest created_at 'Repl created' per entity and return out-of-order duplicates to delete.
Replit
QuantcastCompute top 10 customers by net sales using joins and aggregations, ordering by revenue with deterministic tie-breaking.
Gain Digital
TCS
Zest AIExplain how to evaluate a regression model with RMSE and MAE, and how to interpret the tradeoff between average and large errors.
McKessonOutline the first checks to diagnose a sudden drop in a core product metric, starting with data quality, scope, and decomposition.
McKessonAssesses your ability to structure an uncertain system design effort with clear tradeoffs and milestones.
McKessonTests your ability to define metrics and connect them to outcomes for healthcare workflow products.
McKesson