Top 40
Prep plan
Updated weekly · Last refresh Oct 17

Nasdaq Data Scientist Interview Questions

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

40questions
~6htotal time
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1
SQL & Data ManipulationStart here. 6 questions + 2 drills · ~70 min
2
Machine Learning10 questions · ~83 min
Predict Client Attrition RiskEasy

Build a supervised model to predict client attrition risk using account activity, product usage, and support signals.

Cross-ValidationFeature EngineeringSupervised LearningNasdaq
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3
Product Sense4 questions · ~33 min
Deprecate Legacy Data FeedMedium

Assesses product and risk tradeoffs for data feed lifecycle decisions at Nasdaq.

data managementproduct decisionlegacy systemsNasdaq
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4
Statistics & Probability5 questions · ~42 min
Statistical Significance With High VarianceMedium

Assesses statistical reasoning for significance under noisy financial measurements.

Data AnalysisStatistical Significancefinancial metricsNasdaq
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5
A/B Testing & Experimentation4 questions · ~33 min
Experiment PitfallsMedium

Evaluates ability to recognize and mitigate common A/B testing failure modes.

data integrityNasdaq
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6
Pipelines3 questions · ~25 min
Scalable Real-Time Market Data ProcessingMedium

Tests system design for low-latency streaming, scalability, and operational robustness.

InfrastructureStream ProcessingData ModelingNasdaq
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7
More topics8 questions · ~66 min
Choosing Classification Evaluation MetricsEasy

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

PrecisionAccuracyRecallNasdaq
Real-Time Ingestion Health KPIsMedium

Assesses ability to define operational metrics for reliable real-time data flows.

KPIdata ingestionNasdaq
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The finish line: interview-readyComplete all 40 questions plus 2 hands-on drills to finish this plan.