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.
Calculate each product-region's rolling 7-day average sales using daily aggregation and calendar-aware windowing.
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.
Pick a North Star Metric that reflects customer value, business impact, and long-term product health.
Identify the main pitfalls that can distort A/B test interpretation and explain how to guard against them.
Explain how RANK(), DENSE_RANK(), and ROW_NUMBER() differ when ordering tied clinical trial results.
Define a success metric for a new feature that captures real user value, not just raw usage.
Outline the first checks to diagnose a sudden drop in a core product metric, starting with data quality, scope, and decomposition.
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Write a query to identify the top three selling product categories for each region in the last fiscal quarter. Assume fiscal quarters align with calendar ...
FanaticsCCoupang USACCimpressCalculate user revenue running totals and daily rankings using PostgreSQL window functions.
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