Top 28
Prep plan
Updated weekly · Last refresh Aug 30

ING Data Scientist Interview Questions

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

28questions
~4htotal time
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1
SQL & Data ManipulationStart here. 6 questions + 1 drill · ~63 min
2
Product Sense5 questions · ~44 min
Define Savings Feature SuccessMedium

Define success for a feature meant to increase member savings behavior.

Feature PrioritizationUser NeedsValue PropositionING
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3
A/B Testing & Experimentation5 questions · ~44 min
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 MismatchING
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4
Behavioral & Leadership6 questions · ~53 min
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5
More topics6 questions · ~53 min
Define Success for a New FeatureEasy

Define the right metrics to judge whether a new product feature is successful.

KPIsConversion RateLeading IndicatorsING
Feature Suitability for Linear ModelingMedium

Tests your understanding of when linear modeling assumptions and representations do not fit the data.

model selectionING
Logistic Regression ExplanationMedium

Evaluates understanding of logistic regression and its core mechanics.

explanationING
Analyze New Feature EngagementMedium

Assess a new feature using adoption, activation, repeat usage, and retention metrics tied to user value.

Leading IndicatorsA/B TestingEngagement MetricsING
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The finish line: interview-readyComplete all 28 questions plus 1 hands-on drill to finish this plan.