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Prep plan
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Hudl Data Scientist Interview Questions

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

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Handling Class Imbalance in Classification
Medium

Explain practical ways to train and evaluate a classifier when the target classes are highly imbalanced.

model trainingSupervised LearningClass Imbalance
Hudl
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Define Metrics for New Features
Medium

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

MetricsFeature Prioritizationuser value
Hudl
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7-Day Rolling Engagement With Cohorts
Hard

Tests advanced SQL window functions for rolling metrics and cohort-based ranking.

Window FunctionsRankingCohort Analysis
Hudl
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A/B Testing With Novelty and SRM
Hard

Tests advanced experimentation analysis and ability to handle common A/B test pitfalls.

experiment designNovelty EffectSample Ratio Mismatch
Hudl
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Offline Significance Estimation
Medium

Tests ability to connect offline metrics to statistical significance and uncertainty estimation.

Confidence IntervalsSamplingStatistical Significance
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Video Event Tagging Pipeline
Hard

Tests system design for ML pipelines using multimodal sports video data at Hudl scale.

data integrationFeature StoreModel Serving
Hudl

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