Groupon Data Scientist Interview Questions
The questions to prepare for a Groupon Data Scientist interview. Questions from real interview reports rank first. Updated daily.
Compute daily active users and a 7-day rolling average using a CTE, distinct counts, and window functions.
GrouponCalculate daily campaign conversion rates with conditional aggregation, a CTE, and a campaign dimension join.
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OutschoolCalculate weekly transaction averages for each user and product combination using date bucketing and aggregation.
GrouponExplain how to test whether an observed 5% conversion rate drop is statistically significant in an experiment or before-after comparison.
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Define primary and guardrail metrics for a discovery UI test, with power, MDE, and a pre-registered analysis plan.
GrouponDesign an A/B test for a new platform feature, including success metrics, power, guardrails, and a clear ship decision.
GrouponExplain practical strategies for handling missing data and how to validate that the chosen approach improves model performance.
GrouponExplain precision, recall, F1-score, and ROC-AUC for a classification model.
GrouponA framework for deciding which features should ship first when building a new product.
GrouponInvestigate why a key KPI moved the wrong way after a product change and separate signal from noise.
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