Ernst & Young U.S. LLP Data Scientist Interview Questions
The questions to prepare for a Ernst & Young U.S. LLP Data Scientist interview. Questions from real interview reports rank first. Updated daily.
Assesses practical command of SQL, Python, and ML for real data science work.
Find the second-highest distinct non-NULL salary using PostgreSQL window-function logic.
Find missing employee numbers in a fixed sequence using PostgreSQL generate_series and a left join.
Use SQL to rapidly summarize transaction failures and identify accounts requiring review.
IntuitDesign a production ML decision service with low latency serving, secure data handling, and scalable training and inference.
Explain common machine learning evaluation metrics and when each is useful.
Explain what statistical significance means and why it matters when interpreting experimental or analytical results.
Outline the first checks to diagnose a sudden drop in a core product metric, starting with data quality, scope, and decomposition.
Identify the main pitfalls that can distort A/B test interpretation and explain how to guard against them.
Evaluates NLP modeling choices and end-to-end RAG system design.
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