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Hearst Health Data Scientist Interview Questions

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

50questions
~7htotal time
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1
MetricsStart here. 4 questions · ~32 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 IndicatorsDiagnosisHearst Health
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2
Machine Learning10 questions · ~81 min
Supervised vs Unsupervised LearningEasy

Explain how supervised and unsupervised learning differ, and ground the distinction in a practical ML example.

Unsupervised LearningFeature EngineeringBias-Variance TradeoffHearst Health
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3
A/B Testing & Experimentation5 questions · ~40 min
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 MismatchHearst Health
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4
Pipelines10 questions · ~81 min
Privacy Compliance in Data PipelinesMedium

Approach for building privacy controls, lineage, and auditability into data pipelines that handle personal data.

Compliancedata privacyPipelinesHearst Health
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5
Model Evaluation4 questions · ~32 min
Building Reliable Model EvaluationMedium

Approach for evaluating whether a model will generalize well, stay calibrated, and make reliable decisions in production.

PrecisionAccuracyRecallHearst Health
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6
Statistics & Probability5 questions · ~40 min
Statistical Modeling Experience DiscussionMedium

Explain your experience building statistical models, analyzing data, and interpreting uncertainty in results.

RegressionCorrelationVarianceHearst Health
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7
More topics12 questions · ~97 min
SQL for Complex Data ProblemsMedium

Evaluates your SQL problem-solving skills for real-world data challenges.

complex queriessqlHearst Health
Designing Product Metrics for Healthcare AppsMedium

Assesses your ability to define metrics that reflect meaningful outcomes for healthcare users.

product metricsHearst Health
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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
Contact Center Agent Performance MetricsHard
Practice
Practice drill

Compute daily agent call KPIs and SLA using joins, aggregations, and window ranking in a contact center model.

ETLAggregationsData ModelingADP
Handle Missing Financial Input ValuesMedium
Practice
Practice drill

Use joins, CTEs, and CASE logic to flag and fill missing financial fields for Qlik planning records.

Data WranglingETLQualityQlik
The finish line: interview-readyComplete all 50 questions plus 3 hands-on drills to finish this plan.