Diagnose 4% weekly revenue drop using history

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Quick Overview

This question evaluates time-series forecasting, anomaly detection, decomposition, and attribution skills within analytics and experimentation, focusing on defining baselines and formal null/alternative hypotheses for revenue fluctuations.

Diagnose 4% weekly revenue drop using history

Company: Instacart

Role: Data Scientist

Category: Analytics & Experimentation

Difficulty: medium

Interview Round: Technical Screen

Overview: This question evaluates time-series forecasting, anomaly detection, decomposition, and attribution skills within analytics and experimentation, focusing on defining baselines and formal null/alternative hypotheses for revenue fluctuations.

Read the full Instacart Data Scientist interview experience this question came from

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Instacart
Oct 13, 2025
mediumData ScientistTechnical ScreenAnalytics & Experimentation
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