Coupang Data Scientist Interview Questions
The questions to prepare for a Coupang Data Scientist interview. Questions from real interview reports rank first. Updated weekly.
Aggregate user activity by week, then use LAG to compare sessions and watch time versus the prior active week.
CoupangDetermine sample size and power for a customer survey or experiment, including MDE, guardrails, and a disciplined decision rule.
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Investigate whether a conversion drop came from product friction, traffic mix, or an experiment artifact.
CoupangExplain practical strategies for handling missing data and how to validate that the chosen approach improves model performance.
CoupangIdentify the most important user pain points using both qualitative and quantitative data.
CoupangDesign monitoring for a large-scale ad ranking system, with feature drift, training-serving skew, and rollback handled as first-class concerns.
CoupangDesign a fraud pipeline that compares batch, streaming, and hybrid architectures for 120K tx/sec with sub-300 ms decisions and reconciled hourly tables.
CoupangExplain why a statistically significant experiment result may still be too small to matter for product or business decisions.
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