Instacart Data Scientist Interview Questions
The questions to prepare for a Instacart Data Scientist interview. Questions from real interview reports rank first. Updated weekly.
Use a date-based window function to calculate each shopper's seven-day average of completed orders by Instacart fulfillment zone.
InstacartUse ROW_NUMBER() and LAG() to identify consecutive order rejections by Instacart shopper.
InstacartRank Instacart shoppers by average fulfillment time over the latest 30 days using joins, aggregation, and RANK().
InstacartIdentify the main pitfalls that can distort A/B test interpretation and explain how to guard against them.
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Investigate a 15% engagement decline by decomposing the metric, isolating root causes, and proposing actions.
InstacartAssesses power analysis, sample size planning, and significance testing for conversion experiments.
InstacartEvaluates trade-offs between interpretability and predictive power for churn modeling on Instacart.
InstacartAssesses your product thinking about funnel design and user experience in Instacart checkout.
InstacartTests your understanding of classification metrics and when to prioritize each.
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