Coupang USA Data Scientist Interview Questions
The questions to prepare for a Coupang USA Data Scientist interview. Questions from real interview reports rank first. Updated daily.
Explain what a p-value means, how it relates to statistical significance, and how to describe it clearly to non-technical stakeholders.
Describe how you used user feedback to change product direction, reprioritize features, and make clear trade-off decisions.
Define a success metric for a new feature that captures real user value, not just raw usage.
Identify the main pitfalls that can distort A/B test interpretation and explain how to guard against them.
Calculate each product-region's rolling 7-day average sales using daily aggregation and calendar-aware windowing.
Pick a North Star Metric that reflects customer value, business impact, and long-term product health.
Evaluates ML approach selection for logistics problems at scale.
Explain how RANK(), DENSE_RANK(), and ROW_NUMBER() differ when ordering tied clinical trial results.
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