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Updated weekly · Last refresh Aug 30

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 weekly.

30questions
~4htotal time
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1
PipelinesStart here. 3 questions · ~24 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 · ~32 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
Machine Learning3 questions · ~24 min
Merge Overlapping SessionsMedium

Tests algorithmic thinking, edge-case handling, and coding correctness for session analytics.

intervalsData Manipulationpython basicsPlayStation Global
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4
Behavioral & Leadership13 questions · ~104 min
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5
More topics7 questions · ~56 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 MismatchPlayStation Global
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
Real-Time Store RecommendationsHard

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

RetrievalModel ServingRecommendation SystemsPlayStation Global
Optimize a Slow SQL JoinHard

Tests performance troubleshooting, query planning intuition, and data engineering best practices.

Performance TuningJoinssqlPlayStation Global
DAU Statistical SignificanceMedium

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

Confidence IntervalsHypothesis TestingStatistical SignificancePlayStation Global
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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
Handle Missing Financial Input ValuesMedium
Practice
Practice drill

Use joins, CTEs, and CASE logic to flag and fill missing financial fields for Qlik planning records.

Data WranglingETLQualityQlik
Clean Event Statuses for AnalysisEasy
Practice
Practice drill

Clean raw status text with TRIM and LOWER, filter unusable rows, and count usable events by cleaned status.

Data WranglingETLQualityDatabricks
The finish line: interview-readyComplete all 30 questions plus 3 hands-on drills to finish this plan.