CaixaBank Data Scientist Interview Questions
The questions to prepare for a CaixaBank Data Scientist interview. Questions from real interview reports rank first. Updated daily.
Design an A/B test for a new platform feature, including success metrics, power, guardrails, and a clear ship decision.
Explain how to validate a model and spot overfitting before it reaches production.
Explain the main statistical methods used in customer analytics and when each is appropriate.
Define a success metric for a new feature that captures real user value, not just raw usage.
Investigate a 15% engagement decline by decomposing the metric, isolating root causes, and proposing actions.
Evaluates model selection reasoning for classification tasks and trade-off awareness.
Tests your validation, testing, and verification methods for analytics correctness.
Evaluate whether a recommendation system is improving engagement and ranking quality, not just offline metrics.
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Aggregate monthly sales by product category and use LAG to calculate month-over-month changes.
Total Wine & More
Inc.
Benjamin MooreRank TikTok creators by 30-day engagement and return the top 10% using aggregation and window functions.
TikTokClean inconsistent expense records with CTEs, joins, CASE logic, and aggregation to summarize valid spend by department.
University of Colorado Denver