Instacart Data Scientist Interview Questions
The questions to prepare for a Instacart Data Scientist interview. Questions from real interview reports rank first. Updated daily.
Aggregate completed A/B test performance by variant, including users, conversion, orders, revenue, and average order value.
InstacartIdentify which Instacart customers may be harmed by surge pricing and propose how to measure and mitigate their dissatisfaction.
InstacartDecompose Instacart Ads revenue into its drivers and prioritize the highest-impact optimization opportunities.
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Design metrics that measure customer value and identify high-value customers using behavioral, financial, and retention signals.
InstacartEvaluate whether a shopper incentive change improves retention without degrading service quality, with power and guardrails pre-specified.
InstacartCompare random forest with gradient boosting, then design price experiments and optimize expected profit from demand predictions.
InstacartExplain log transforms for right-skewed metrics and assess whether retention is a valid proxy for customer satisfaction.
InstacartTests your understanding of classification metrics and when to prioritize each.
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