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Updated weekly · Last refresh Oct 17

PlayStation Global Data Scientist Interview Questions

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

31questions
~5htotal time
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1
PipelinesStart here. 3 questions · ~26 min
Data Quality in ML PipelinesMedium

Approach for maintaining high quality data across ML pipelines, from validation and reproducibility to monitoring and recovery.

monitoringData WranglingQualityPlayStation Global
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2
Product Sense4 questions · ~35 min
Balance User Needs and GoalsMedium

Explain how you balanced user needs with business goals in a product decision, including trade-offs and outcomes.

Feature PrioritizationUser NeedsValue PropositionPlayStation Global
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3
SQL & Data Manipulation3 questions + 1 drill · ~36 min
Top Games Per RegionMedium
Practice

Use PostgreSQL window functions to rank games by total play time and return the top three for each region.

Window FunctionsData ManipulationRankingPlayStation Global
Find Duplicate RecordsMedium
Practice
Practice drill

Find duplicate PenFed application records using a windowed count over business-key columns.

sql querydata integrityPENFED Credit UnionQuinstreetCostar
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4
Machine Learning3 questions · ~26 min
First Non-Repeating CharacterMedium

Tests coding ability, data structures, and correctness under streaming input constraints.

Stream ProcessingData Structurespython basicsPlayStation Global
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5
Behavioral & Leadership12 questions · ~105 min
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6
More topics6 questions · ~53 min
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 IndicatorsDiagnosisPlayStation Global
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 MismatchPlayStation Global
Real-Time Store RecommendationsHard

Tests system design for low-latency personalization, data pipelines, and evaluation strategy.

RetrievalModel ServingRecommendation SystemsPlayStation Global
DAU Statistical SignificanceMedium

Tests hypothesis testing, confidence intervals, and practical interpretation of DAU changes.

Confidence IntervalsHypothesis TestingStatistical SignificancePlayStation Global
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The finish line: interview-readyComplete all 31 questions plus 1 hands-on drill to finish this plan.