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Updated weekly · Last refresh Oct 17

Smart Consulting Data Scientist Interview Questions

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

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1
Machine LearningStart here. 3 questions · ~25 min
Debugging a Failing ML ModelMedium

Use a structured process to debug model performance issues across data, features, validation, and error patterns.

Feature EngineeringModel EvaluationSupervised LearningSmart Consulting
Churn With Little DataMedium

Assesses your initial plan for churn modeling when data is scarce for Smart Consulting client work.

Smart Consulting
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2
Behavioral & Leadership6 questions · ~50 min
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3
More topics7 questions · ~58 min
Assess Model Robustness and ReliabilityMedium

Approach for judging whether a model is stable, calibrated, and dependable before deployment.

PrecisionAccuracyRecallSmart Consulting
Define Metrics for New FeaturesMedium

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

MetricsFeature Prioritizationuser valueSmart Consulting
Interpreting P Values in TestingEasy

Explain what a p-value means in hypothesis testing and how it relates to statistical significance.

Hypothesis TestingStatistical SignificanceP-ValuesSmart Consulting
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 IndicatorsDiagnosisSmart Consulting
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 MismatchSmart Consulting
SQL Window FunctionsMedium

Tests your practical SQL skills for analytics and feature engineering using windowed computations.

Window FunctionsData ManipulationsqlSmart Consulting
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Hands-on SQL practiceWrite and run real queries in the editor. 3 drills · ~30 min
SQL Window Functions ExperienceMedium
Practice
Practice drill

Use SQL window functions to rank regions by average 2024 yield within each country.

Window FunctionsJoinsData ManipulationErnst & YoungKBRMaximus Tech
Window Functions for TrendsMedium
Practice
Practice drill

Calculate account-level running totals and three-row moving averages with PostgreSQL window functions.

Window FunctionsJoinsData ManipulationAAxtriaGGrowth IntelligenceGGrupo Astek
7-Day Rolling Average with Window FunctionsMedium
Practice
Practice drill

Calculate each user's 7-day rolling order volume average, including calendar days with no orders.

Window FunctionsDate FunctionsData ManipulationDDelivery HeroRRBC IncorporatedTTeya
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