Nomura Data Scientist Interview Questions
The questions to prepare for a Nomura Data Scientist interview. Questions from real interview reports rank first. Updated daily.
Explain what statistical significance means and why it matters when interpreting experimental or analytical results.
NomuraApproach for handling missing data in an ML data pipeline, including validation, imputation, and safe downstream consumption.
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Evaluates your approach to detecting and adapting to non-stationarity in market data.
NomuraOutline the first checks to diagnose a sudden drop in a core product metric, starting with data quality, scope, and decomposition.
NomuraIdentify the main pitfalls that can distort A/B test interpretation and explain how to guard against them.
NomuraAssesses practical data acquisition skills and familiarity with API-based workflows.
NomuraEvaluates core ML concepts and your ability to connect model outputs to business impact.
NomuraTests system design skills for real-time anomaly detection in trading data.
NomuraOptimize a slow PostgreSQL query that aggregates completed transactions while preserving customers with no matching activity.
CapgeminiNomuraReturn the top three students in each Nomura division using a join and ROW_NUMBER partitioned by division.
NomuraIdentify duplicate trade records with aggregation and performance-aware filtering.
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