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Prep plan
Updated weekly · Last refresh Aug 30

Hearst Data Scientist Interview Questions

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

18questions
~2htotal time
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1
Machine LearningStart here. 4 questions · ~32 min
2
SQL & Data Manipulation3 questions + 3 drills · ~54 min
3
Statistics & Probability3 questions · ~24 min
Statistics for Business ProblemsMedium

Tests ability to apply statistics to real business outcomes and communicate results.

ExperimentationRegressionCausal InferenceHearst
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4
Pipelines3 questions · ~24 min
Big Data Technologies ExperienceMedium

Tests your experience scaling data processing and modeling beyond single-machine constraints.

experienceHearst
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5
More topics5 questions · ~40 min
Build a Marketing KPI DashboardMedium

Design a dashboard that connects campaign activity, funnel conversion, and acquisition efficiency to business outcomes.

North Star MetricKPIsLeading IndicatorsHearst
Choosing Classification Evaluation MetricsEasy

Explain which classification metrics to use and how metric choice depends on the business objective and error tradeoffs.

PrecisionAccuracyRecallHearst
Optimize Ad PlacementsMedium

Tests product sense and modeling strategy for engagement optimization in a media context.

Feature PrioritizationUser NeedsUse CasesHearst
Text Classification With PythonMedium

Assesses your ability to implement and operationalize an NLP text classification workflow.

Text ClassificationpythonHearst
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