Crédit Agricole Cib Data Scientist Interview Questions
The questions to prepare for a Crédit Agricole Cib Data Scientist interview. Questions from real interview reports rank first. Updated weekly.
Explain how to evaluate a classifier on imbalanced data, with focus on metrics that are more informative than accuracy.
Crédit Agricole CibInvestigate why a key KPI moved the wrong way after a product change and separate signal from noise.
Crédit Agricole CibExplain how to diagnose and reduce overfitting using regularization, cross-validation, and model selection.
Crédit Agricole CibUse 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 AIFilter ALTEN project events to a specific February date range using PostgreSQL WHERE conditions and chronological ordering.
ALTEN Technology USADesign an A/B test for a new checkout installment-flow feature, including metrics, power, guardrails, and a disciplined ship decision.
Crédit Agricole CibDesign a shared feature store for training and low-latency inference across many ML systems with strict freshness and consistency needs.
Crédit Agricole CibExplain how word embeddings represent words as dense vectors and why they help NLP models capture meaning.
Crédit Agricole CibTests product framing, modeling approach, and measurement plan for churn prediction.
Crédit Agricole CibTests basic Python proficiency for reliable file I/O and error handling.
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