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Updated weekly · Last refresh Oct 17

ShipBob Data Scientist Interview Questions

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

35questions
~5htotal time
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1
Machine LearningStart here. 9 questions · ~74 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 LearningShipBob
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2
Statistics & Probability3 questions · ~25 min
Statistical Significance in Hypothesis TestingEasy

Explain what statistical significance means and why it matters when interpreting experimental or analytical results.

Hypothesis TestingData AnalysisStatistical SignificanceShipBob
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3
Metrics3 questions · ~25 min
First Checks for Metric DropsEasy

Outline the first checks to diagnose a sudden drop in a core product metric, starting with data quality, scope, and decomposition.

Lagging IndicatorsLeading IndicatorsDiagnosisShipBob
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4
Behavioral & Leadership12 questions · ~99 min
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5
More topics8 questions · ~66 min
Validate Real-World Model PerformanceHard

How to validate a model's real-world performance beyond offline metrics, with calibration and threshold decisions tied to production outcomes.

Cross-ValidationCalibrationAUC-ROCShipBob
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 MismatchShipBob
SQL Window FunctionsMedium

Tests practical SQL proficiency for analytics and feature engineering workflows.

Data Manipulationsql queriessqlShipBob
Estimating Transit Times by CarrierHard

Tests system design for carrier-level prediction, data pipelines, and operational reliability.

system designShipBob
Design User Engagement MetricMedium

Tests metric design and operationalization for measuring FIRSTNET GLOBAL user engagement.

product metricsdesignuser engagementShipBob
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Hands-on SQL practiceWrite and run real queries in the editor. 3 drills · ~30 min
Handling Missing DataMedium
Practice
Practice drill

Standardize missing observation fields with fallback values, missingness flags, and ordered output.

Window Functionsmissing valuesdata cleaningEversource EnergyCincinnati Children's HospitalAdtalem Global Education
Top Customers in Last 90 DaysMedium
Practice
Practice drill

Aggregate recent customer orders to return the top five customers by revenue and order volume.

Date FunctionsJoinsAggregationsShipBob
System Design with SQLHard
Practice
Practice drill

Build a SQL aggregation pipeline that produces customer order metrics while handling joins, filtering, nulls, and implementation trade-offs.

system designJoinsData ManipulationZZalando
The finish line: interview-readyComplete all 35 questions plus 3 hands-on drills to finish this plan.