Top 25
Prep plan
Updated weekly · Last refresh Oct 16

Hermes Corporate Data Scientist Interview Questions

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

25questions
~4htotal time
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1
SQL & Data ManipulationStart here. 4 questions + 2 drills · ~54 min
2
A/B Testing & Experimentation4 questions · ~34 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 TestingHermes Corporate
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3
Product Sense3 questions · ~25 min
Define Metrics for New FeaturesMedium

Define a success metric for a new feature that captures real user value, not just raw usage.

MetricsFeature Prioritizationuser valueHermes Corporate
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4
Behavioral & Leadership6 questions · ~51 min
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5
More topics8 questions · ~68 min
Analyze New Feature EngagementMedium

Assess a new feature using adoption, activation, repeat usage, and retention metrics tied to user value.

Leading IndicatorsA/B TestingEngagement MetricsHermes Corporate
Data Quality in ETL PipelinesEasy

Approach for maintaining data quality and integrity across ETL pipelines.

IdempotencyData ModelingQualityHermes Corporate
Applying Machine Learning to PricingMedium

Evaluates your domain thinking for how ML can create value in pricing use cases.

pricingHermes Corporate
Probability Distribution for Actuarial QuantityMedium

Assesses your ability to choose appropriate statistical distributions for actuarial-style quantities.

Hermes Corporate
Model Performance EvaluationMedium

Tests ability to choose appropriate metrics and statistical evaluation methods.

performance evaluationModel MetricsHermes Corporate
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The finish line: interview-readyComplete all 25 questions plus 2 hands-on drills to finish this plan.