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Goodgame Studios Data Scientist Interview Questions

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

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~2htotal time
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1
Product SenseStart here. 3 questions · ~26 min
Design a New Engagement MetricHard

Define a meaningful engagement metric for a retail analytics mobile application and explain how to validate it.

product metricsMetricsuser engagementGGoodgame Studios
Using Data to Influence DecisionsEasy

Share how you used data to shape a business decision, including the analysis, recommendation, and outcome.

User ResearchUser NeedsValue PropositionGGoodgame Studios
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2
A/B Testing & Experimentation5 questions · ~44 min
Design a Feature-Concept A/B StudyHard

Design an A/B test to compare two feature concepts, including hypothesis, metrics, power, and a pre-registered decision rule.

ExperimentationGuardrail MetricsA/B TestingGGoodgame Studios
Common Pitfalls in Experiment ResultsHard

Identify the main pitfalls that can distort A/B test interpretation and explain how to guard against them.

PeekingNovelty EffectSample Ratio MismatchGGoodgame Studios
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3
Behavioral & Leadership3 questions · ~26 min
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4
More topics4 questions · ~35 min
SQL Window Functions Moving AverageMedium
Practice

Calculate a three-day moving average of active-client revenue using aggregation and SQL window functions.

Window FunctionsData AnalysissqlGGoodgame Studios
Investigate Metric DropMedium

Diagnose a below-expectations product metric drop using decomposition, guardrails, and experiment checks.

metric selectionDiagnosiskpi hierarchyGGoodgame Studios
Detecting Overfitting in Regression ModelsMedium

Evaluates model validation and generalization practices in production analytics.

Model EvaluationoverfittingGGoodgame Studios
Diagnose a Sudden DAU DropMedium

Tests structured problem solving and diagnostic approach to user engagement drops specific to Goodgame Studios' gaming context.

Data Analysisuser retentionDiagnosisGGoodgame Studios

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Hands-on SQL practiceWrite and run real queries in the editor. 2 drills · ~20 min
Running Average With Window FunctionsEasy
Practice
Practice drill

Calculate each Hinge user's 30-day rolling average of daily interactions using CTEs and window functions.

Window FunctionsData AnalysissqlHingeCCatalyst Operations & AnalyticsAAlight Solutions
Using SQL Window FunctionsMedium
Practice
Practice drill

Calculate three-day rolling passenger entry averages for TfL stations using aggregation and window functions.

Window FunctionsData AnalysissqlTransport for LondonThe Trade DeskMercari
The finish line: interview-readyComplete all 15 questions plus 2 hands-on drills to finish this plan.