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Updated weekly · Last refresh Oct 17

Course Hero Data Scientist Interview Questions

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

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1
MetricsStart here. 3 questions · ~24 min
Separate Retention From Short Term EngagementHard

Assess whether a feature drives durable retention gains or only a temporary spike in usage.

RetentionEngagement MetricsCourse Hero
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2
Machine Learning5 questions · ~40 min
Prevent Overfitting in ML ModelsEasy

Explain how to reduce overfitting using regularization, validation, and model selection.

Cross-ValidationBias-Variance TradeoffRegularizationCourse Hero
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3
Statistics & Probability3 questions · ~24 min
Evidence for Statistical SignificanceMedium

Tests your understanding of hypothesis testing, p-values, and statistical significance criteria.

Confidence IntervalsStatistical SignificanceP-ValuesCourse Hero
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4
Behavioral & Leadership9 questions · ~72 min
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5
More topics8 questions · ~64 min
Design Test for New FeatureMedium

Design an A/B test for a new platform feature, including success metrics, power, guardrails, and a clear ship decision.

experiment designfeature evaluationA/B TestingCourse Hero
Segment Users for PersonalizationMedium

Framework for segmenting users so personalization reflects distinct needs, intents, and product value.

User SegmentsUser NeedsUse CasesCourse Hero
Batch vs Stream Processing Trade-offsMedium

Compare batch and stream processing across latency, complexity, cost, and data quality in a modern analytics pipeline.

InfrastructureStream ProcessingETLCourse Hero
SQL Window Functions for ActivityMedium

Assesses your ability to model time-based user behavior using advanced SQL features.

Window FunctionsLag/LeadRunning TotalsCourse Hero
Recommend Study Resources ML SystemHard

Tests end-to-end ML system design for personalized recommendations at Course Hero.

RetrievalModel ServingRecommendation SystemsCourse Hero
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Hands-on SQL practiceWrite and run real queries in the editor. 3 drills · ~30 min
Monthly Sales Trends by CategoryMedium
Practice
Practice drill

Aggregate monthly sales by product category and use LAG to calculate month-over-month changes.

InfrastructureToolsData WranglingTotal Wine & MoreInc.Benjamin Moore
SQL Window Functions for TrendsMedium
Practice
Practice drill

Rank Delta Air Lines routes by monthly revenue using joins, aggregation, and a window function.

Window FunctionsLag/LeadJoinsDelta Air Lines
Using SQL Window FunctionsMedium
Practice
Practice drill

Use aggregation and a window function to rank active players by completed purchase spend, including players with no qualifying purchases.

Window FunctionsLag/LeadJoinsScopely
The finish line: interview-readyComplete all 28 questions plus 3 hands-on drills to finish this plan.