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Updated weekly · Last refresh Oct 17

CACI Data Scientist Interview Questions

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

32questions
~4htotal time
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1
Machine LearningStart here. 5 questions · ~42 min
Experience with Predictive ModelingMedium

Explain your experience building predictive models, from feature work and validation to tuning and deployment.

Cross-ValidationFeature EngineeringSupervised LearningCACI
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2
A/B Testing & Experimentation4 questions · ~34 min
Avoid Pitfalls in Online ExperimentsHard

Explain common online experimentation pitfalls and how to design, analyze, and decide in ways that avoid false wins.

Network InterferenceNovelty EffectSample Ratio MismatchCACI
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3
SQL & Data Manipulation4 questions + 2 drills · ~54 min
Window Functions for Running TotalsMedium

Tests your ability to use SQL window functions for grouped analytics.

Window FunctionsRankingRunning TotalsCACI
SQL for Weekly Operational KPIsHard
Practice
Practice drill

Combine CACI project, resource, and performance data to calculate weekly team KPIs and week-over-week utilization changes.

Lag/LeadDate FunctionsJoinsCACI
Top Credit Score Applicants by StateMedium
Practice
Practice drill

Identify the highest-credit-score 5% of applicants within each state using percentiles and window ranking.

Window FunctionsJoinsRankingAmerican Credit Acceptance
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4
Behavioral & Leadership14 questions · ~117 min
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5
More topics5 questions · ~42 min
Batch vs Streaming Data ProcessingEasy

Compare batch and streaming data processing, including when each fits best in a pipeline.

Stream ProcessingETLBatch ProcessingCACI
Diagnose KPI Drop After ReleaseMedium

Diagnose a post-release KPI drop by separating instrumentation issues from real behavior changes and tracing the problem through the metric hierarchy.

KPILeading IndicatorsDiagnosisCACI
Interpreting Statistical SignificanceMedium

Tests your understanding of hypothesis testing and correct interpretation of uncertainty.

Confidence IntervalsHypothesis TestingP-ValuesCACI
Product Metrics and GuardrailsMedium

Tests product sense and your ability to connect metrics to outcomes and risk controls.

North Star MetricKPIsGuardrail MetricsCACI
Time Complexity of SortingMedium

Tests algorithmic knowledge relevant to efficient data processing.

CommunicationOwnershipCACI
The finish line: interview-readyComplete all 32 questions plus 2 hands-on drills to finish this plan.