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Updated weekly · Last refresh Aug 30

Integral Ad Science Data Scientist Interview Questions

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

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~4htotal time
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1
Statistics & ProbabilityStart here. 4 questions · ~33 min
Explaining P Values ClearlyEasy

Explain what a p-value means, how it relates to statistical significance, and how to describe it clearly to non-technical stakeholders.

CommunicationStatistical SignificanceP-ValuesIntegral Ad Science
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2
Machine Learning6 questions · ~49 min
Handle Highly Imbalanced ClassesMedium

Build a classifier for a highly imbalanced dataset and choose training and evaluation methods that surface rare positives.

Cross-ValidationFeature EngineeringSupervised LearningIntegral Ad Science
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3
Behavioral & Leadership7 questions · ~57 min
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4
More topics11 questions · ~90 min
Design Test for Novelty and SpilloversHard

Design an experiment that accounts for novelty effects and network spillovers before deciding whether to ship.

Network InterferenceExperimentationNovelty EffectIntegral Ad Science
Explain Precision Recall TradeoffEasy

Explain precision versus recall in plain language and how the tradeoff affects product decisions.

PrecisionThreshold TuningRecallIntegral Ad Science
Investigate Ad Fraud Rate DropHard

Tests incident-style debugging, instrumentation checks, and statistical validation for fraud detection.

KPILeading IndicatorsDiagnosisIntegral Ad Science
Defining Viewability for New FormatsMedium

Tests your product thinking and measurement design for viewability in IAS-style ad verification workflows.

User NeedsValue PropositionUse CasesIntegral Ad Science
Real-Time Ad Fraud Detection SystemHard

Tests your system design and ML deployment thinking for low-latency fraud detection in ad measurement.

fraud detectionModel Servingreal-time systemsIntegral Ad Science
Rolling Average Over ImpressionsMedium

Tests your ability to implement streaming analytics logic for ad measurement pipelines.

Stream ProcessingData WranglingRunning TotalsIntegral Ad Science
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Hands-on SQL practiceWrite and run real queries in the editor. 3 drills · ~30 min
Find Fulfillment Bottlenecks from TimestampsHard
Practice
Practice drill

Use LAG and window functions to identify the slowest stage in the fulfillment chain.

Window FunctionsData WranglingRunning TotalsInstacart
Detect Row-by-Row Balance ChangesMedium
Practice
Practice drill

Use LAG and running totals to evaluate row-by-row balance changes across account transactions.

Window FunctionsData WranglingRunning TotalsAlteryx
SQL Rolling Average with WindowsMedium
Practice
Practice drill

Use PostgreSQL window functions to compare Harnham Recruiter Cloud's seven-day application average with the prior week.

Window FunctionsLag/LeadRunning TotalsHarnhamHach
The finish line: interview-readyComplete all 28 questions plus 3 hands-on drills to finish this plan.