EY-Parthenon Data Scientist Interview Questions
The questions to prepare for a EY-Parthenon Data Scientist interview. Questions from real interview reports rank first. Updated weekly.
Identify the main pitfalls that can distort A/B test interpretation and explain how to guard against them.
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Explain how visualization tools help analysts track KPIs, spot patterns, and support decisions.
EY-ParthenonExplain common SQL-friendly ways to detect outliers and how to handle them without distorting downstream analysis.
EY-ParthenonRank the top 3 completed rides per vehicle per day using joins, a CTE, and ROW_NUMBER.
WaymoBuild a daily series and compute a 30-day trailing moving average of task bookings using window functions.
TaskRabbit
RBCCompute top 10 customers by net sales using joins and aggregations, ordering by revenue with deterministic tie-breaking.
Gain Digital
TCS
Zest AIExplain what a p-value means in hypothesis testing and how it relates to statistical significance.
EY-ParthenonApproach for choosing launch success metrics, including a north star, leading indicators, and clear success criteria.
EY-ParthenonExplain a practical framework for evaluating an AI model using core classification metrics and error analysis.
EY-ParthenonTests practices for repeatable results, versioning, and reliable analysis pipelines.
EY-Parthenon