Ernst & Young Data Scientist Interview Questions
The questions to prepare for a Ernst & Young Data Scientist interview. Questions from real interview reports rank first. Updated daily.
Explain linear regression assumptions and connect violations to trustworthy A/B test analysis.
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Explain how R-squared and adjusted R-squared differ, including their formulas, interpretation, and use in regression model selection.
Ernst & YoungChoose and validate an ML algorithm by aligning business objectives, data characteristics, operational constraints, and evaluation metrics.
Ernst & YoungExplain how to select and balance model evaluation metrics when business objectives and error costs differ.
Ernst & YoungUse SQL window functions to rank regions by average 2024 yield within each country.
Ernst & YoungDesign a practical Transformer-based RAG pipeline for preprocessing documents, retrieving evidence, generating answers, and evaluating groundedness.
Ernst & YoungTests root-cause analysis using metrics, segmentation, and data validation.
Ernst & YoungOptimize a PostgreSQL reporting query by reducing scanned rows, preserving unmatched records, and selecting the latest related review efficiently.
Zillow
OneOptimize a PostgreSQL query over millions of event rows using selective predicates, indexing, joins, and latest-row selection.
OktaErnst & Young