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Nomura Data Scientist Interview Questions

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

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1
PipelinesStart here. 3 questions · ~25 min
Handling Missing Data in PipelinesMedium

Approach for handling missing data in an ML data pipeline, including validation, imputation, and safe downstream consumption.

InfrastructureETLBatch ProcessingNomura
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2
Statistics & Probability6 questions · ~49 min
Statistical Significance in Hypothesis TestingEasy

Explain what statistical significance means and why it matters when interpreting experimental or analytical results.

Hypothesis TestingData AnalysisStatistical SignificanceNomura
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3
Product Sense3 questions · ~25 min
Regime Shift Model AdjustmentHard

Evaluates your approach to detecting and adapting to non-stationarity in market data.

predictive modelingmarket analysisNomura
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4
Behavioral & Leadership6 questions · ~49 min
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5
More topics6 questions · ~49 min
First Checks for Metric DropsEasy

Outline the first checks to diagnose a sudden drop in a core product metric, starting with data quality, scope, and decomposition.

Lagging IndicatorsLeading IndicatorsDiagnosisNomura
Common Pitfalls in Experiment ResultsHard

Identify the main pitfalls that can distort A/B test interpretation and explain how to guard against them.

PeekingNovelty EffectSample Ratio MismatchNomura
Detecting Anomalous Trading PatternsHard

Tests system design skills for real-time anomaly detection in trading data.

system designNomura
Using APIs to Retrieve DataMedium

Assesses practical data acquisition skills and familiarity with API-based workflows.

APIsNomura
Evaluating Business Value of ModelsHard

Evaluates core ML concepts and your ability to connect model outputs to business impact.

Confusion MatrixFeature EngineeringModel EvaluationNomura
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Hands-on SQL practiceWrite and run real queries in the editor. 3 drills · ~30 min
Top SQL Join and GroupingEasy
Practice
Practice drill

Return the top three students in each Nomura division using a join and ROW_NUMBER partitioned by division.

aggregationJoinssqlNomura
Monthly Sales Trends by CategoryMedium
Practice
Practice drill

Aggregate monthly sales by product category and use LAG to calculate month-over-month changes.

InfrastructureToolsData WranglingTotal Wine & MoreInc.Benjamin Moore
Contact Center Agent Performance MetricsHard
Practice
Practice drill

Compute daily agent call KPIs and SLA using joins, aggregations, and window ranking in a contact center model.

ETLAggregationsData ModelingADP
The finish line: interview-readyComplete all 24 questions plus 3 hands-on drills to finish this plan.