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Updated weekly · Last refresh Aug 30

PA Consulting Data Scientist Interview Questions

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

32questions
~4htotal time
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1
Machine LearningStart here. 4 questions · ~33 min
Feature Engineering and Model PerformanceEasy

Explain how feature engineering improves supervised model performance and how to validate its impact with proper evaluation.

Feature EngineeringBias-Variance TradeoffSupervised LearningPA Consulting
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2
Metrics3 questions · ~25 min
Diagnose a Metric Drop After LaunchMedium

Investigate why a key KPI moved the wrong way after a product change and separate signal from noise.

Lagging IndicatorsLeading IndicatorsDiagnosisPA Consulting
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3
A/B Testing & Experimentation4 questions · ~33 min
Pitfalls in Streaming Experiment AnalysisHard

Identify major online experiment pitfalls and explain how they can bias results in a streaming product A/B test.

Network InterferenceNovelty EffectSample Ratio MismatchPA Consulting
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4
SQL & Data Manipulation3 questions + 3 drills · ~55 min
Top 3 Customers by RegionMedium

Tests SQL ranking and grouping skills for region-level customer revenue analysis.

Window FunctionsRankingGroup ByPA Consulting
SQL Top 3 Customers Per MonthMedium
Practice
Recently asked
Practice drill

Use monthly aggregation and ROW_NUMBER to identify PA Consulting's top three revenue-generating clients each month.

Window FunctionsRankingAggregationsPA ConsultingIDeaS - A SASNewWave Telecom & Technologies
7-Day Rolling Active UsersMedium
Practice
Practice drill

Compute daily active users and a 7-day rolling average using a CTE, distinct counts, and window functions.

Window FunctionsDate FunctionsRunning TotalsMetaSpotifyMeta IT
Compare Monthly User Retention CohortsMedium
Practice
Practice drill

Calculate month-1 retention for January vs February signup cohorts using joins, date filtering, and aggregation.

Window FunctionsDate FunctionsAggregationsTrideumZulilyeBay
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5
Behavioral & Leadership12 questions · ~99 min
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6
More topics6 questions · ~50 min
Explaining Confidence IntervalsEasy

Explain what a confidence interval means and how to communicate it to a non-technical stakeholder.

Confidence IntervalsHypothesis TestingCommunicationPA Consulting
Healthcare Wait-Time Analytics ProjectHard

Tests problem structuring, data discovery, and practical analytics planning for healthcare operations improvement.

Use CasesPA Consulting
Predictive Maintenance with Limited DataHard

Tests modeling strategy under data constraints, feature engineering, and reliability-focused evaluation.

Cold StartFeature StoreModel ServingPA Consulting
Demand Forecasting with Fragmented DataMedium

Tests end-to-end pipeline thinking: data assessment, cleaning, modeling readiness, and iterative validation.

Data Qualitydata integrationtransformationsPA Consulting
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The finish line: interview-readyComplete all 32 questions plus 3 hands-on drills to finish this plan.