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Updated weekly · Last refresh Aug 30

Nextroll Data Scientist Interview Questions

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

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1
Machine LearningStart here. 5 questions · ~40 min
Extreme Imbalance in Fraud DetectionMedium

Handle rare positive labels in ad fraud detection with the right sampling, loss design, validation, and thresholding strategy.

Feature Engineeringmodel trainingClass ImbalanceNextroll
Bias Variance and RegularizationMedium

Explain the bias-variance tradeoff mathematically and how L1 and L2 regularization change model complexity and weights.

Bias-Variance TradeoffRegularizationSupervised LearningNextroll
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2
Statistics & Probability4 questions · ~32 min
Poisson Model for Ad RequestsMedium

Tests your ability to model ad request arrivals and reason about statistical assumptions and limitations.

DistributionsConditional ProbabilityNextroll
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3
SQL & Data Manipulation5 questions + 3 drills · ~70 min
4
Behavioral & Leadership6 questions · ~48 min
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5
More topics7 questions · ~56 min
Diagnose KPI Drop After ReleaseMedium

Diagnose a post-release KPI drop by separating instrumentation issues from real behavior changes and tracing the problem through the metric hierarchy.

KPILeading IndicatorsDiagnosisNextroll
Measure Campaign Lift with ControlEasy

Design a control-treatment experiment to estimate campaign lift and determine whether the campaign caused a meaningful improvement.

ExperimentationCausal InferenceA/B TestingNextroll
Budget and CPA Bidding StrategyHard

Tests your ability to translate business constraints into a bidding strategy for performance marketing.

Jobs to Be DoneFeature PrioritizationMVPNextroll
Detecting Bot-Like Ad Traffic SpikesHard

Tests system design and anomaly detection for detecting bot-like traffic in ad delivery.

monitoringFeature DriftModel ServingNextroll
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The finish line: interview-readyComplete all 27 questions plus 3 hands-on drills to finish this plan.