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Insight Data Science Interview Questions

The questions to prepare for Insight Data Science interviews, across all roles. Questions from real interview reports rank first. Updated daily.

50questions
~7htotal time
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1
CodingStart here. 4 questions · ~36 min
Linear Regression From ScratchMedium
Practice

Fit a univariate linear regression model from data using gradient descent or the normal equation.

MathArraysGradient DescentInsight Data Science
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2
Machine Learning5 questions · ~45 min
Supervised vs Unsupervised LearningEasy

Explain how supervised and unsupervised learning differ, and ground the distinction in a practical ML example.

Unsupervised LearningFeature EngineeringBias-Variance TradeoffInsight Data Science
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3
Pipelines5 questions · ~45 min
Data Quality in ETL PipelinesEasy

Approach for maintaining data quality and integrity across ETL pipelines.

IdempotencyData ModelingQualityInsight Data Science
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4
Execution5 questions · ~45 min
Prioritize Work Under Tight DeadlinesEasy

Explain how you prioritize competing work under time pressure while making trade-offs and keeping stakeholders aligned.

Trade-offsRoadmappingScope ManagementInsight Data Science
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5
Metrics4 questions · ~36 min
Define Success for a ProjectEasy

Define what success means for a project using clear KPIs, a north star, and supporting metrics.

KPIsSuccess CriteriaDiagnosisInsight Data Science
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6
A/B Testing & Experimentation3 questions · ~27 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 MismatchInsight Data Science
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7
More topics24 questions · ~214 min
Handling Missing and Dirty SQL DataMedium

Explain how to profile, clean, and standardize missing or dirty data before analysis.

Data WranglingCase WhenQualityInsight Data Science
Statistical Significance in Hypothesis TestingEasy

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

Hypothesis TestingData AnalysisStatistical SignificanceInsight Data Science
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Hands-on SQL practiceWrite and run real queries in the editor. 3 drills · ~30 min
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
Python or R Analysis LibrariesMedium
Practice
Practice drill

Count unique respondents by Python or R library and return the most commonly used libraries first.

analytics toolsData ManipulationData WranglingOklahoma City Thunder
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 50 questions plus 3 hands-on drills to finish this plan.