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Prep plan
Updated weekly · Last refresh Aug 30

Zynga Data Scientist Interview Questions

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

44questions
~6htotal time
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1
SQL & Data ManipulationStart here. 9 questions + 2 drills · ~96 min
2
A/B Testing & Experimentation4 questions · ~34 min
Primary vs Guardrail Metric ChoiceMedium

Choose a primary success metric and guardrails for a game experiment, then explain how that choice drives power, analysis, and ship decisions.

ExperimentationGuardrail MetricsA/B TestingZynga
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3
Statistics & Probability9 questions · ~76 min
Interpreting P Values in TestingEasy

Explain what a p-value means in hypothesis testing and how it relates to statistical significance.

Hypothesis TestingStatistical SignificanceP-ValuesZynga
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4
Product Sense3 questions · ~25 min
Define Metrics for New FeaturesMedium

Define a success metric for a new feature that captures real user value, not just raw usage.

MetricsFeature Prioritizationuser valueZynga
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5
Machine Learning5 questions · ~42 min
Prevent Overfitting in ML ModelsEasy

Explain how to reduce overfitting using regularization, validation, and model selection.

Cross-ValidationBias-Variance TradeoffRegularizationZynga
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6
Metrics3 questions · ~25 min
Critical Metrics for Product LaunchMedium

Choose the most important launch metrics, balancing early signals, long-term outcomes, and a clear KPI hierarchy.

KPIsConversion RateLeading IndicatorsZynga
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7
More topics11 questions · ~93 min
Evaluate Classification ModelsMedium

Tests your ability to choose appropriate metrics and validation methods for classification models.

model performanceevaluation metricsZynga
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The finish line: interview-readyComplete all 44 questions plus 2 hands-on drills to finish this plan.