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Petco Data Scientist Interview Questions

The questions to prepare for a Petco Data Scientist interview. Questions from real interview reports rank first. Updated weekly.

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~4htotal time
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1
Machine LearningStart here. 9 questions · ~72 min
Debugging a Failing ML ModelMedium

Use a structured process to debug model performance issues across data, features, validation, and error patterns.

Feature EngineeringModel EvaluationSupervised LearningPetco
Production Data Cleaning and FeaturesMedium

Tests production readiness, data quality practices, and feature engineering discipline.

data cleaningFeature EngineeringproductionPetco
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2
Behavioral & Leadership10 questions · ~80 min
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3
More topics8 questions · ~64 min
Data Quality in ETL PipelinesEasy

Approach for maintaining data quality and integrity across ETL pipelines.

IdempotencyData ModelingQualityPetco
Common Pitfalls in Experiment ResultsHard

Identify the main pitfalls that can distort A/B test interpretation and explain how to guard against them.

PeekingNovelty EffectSample Ratio MismatchPetco
Measure Marketing Campaign SuccessEasy

Define campaign success using business KPIs, funnel conversion, acquisition cost, and leading indicators tied to outcomes.

Funnel AnalysisKPIsLeading IndicatorsPetco
SQL or R Business ProblemMedium

Tests ability to translate business questions into data solutions using SQL or R.

business problemsqlPetco
Statistical Significance in ExperimentsMedium

Tests experimental rigor and statistical reasoning for decision-making.

Statistical SignificanceAnalysisPetco
Design and Reflect on A/B TestMedium

Describe an A/B test you ran, what question it answered, how you measured success, and what you learned from the results.

ExperimentationGuardrail MetricsA/B TestingPetco
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Hands-on SQL practiceWrite and run real queries in the editor. 3 drills · ~30 min
The finish line: interview-readyComplete all 27 questions plus 3 hands-on drills to finish this plan.