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Google DeepMind Research Analyst Interview Questions

The questions to prepare for a Google DeepMind Research Analyst interview. Questions from real interview reports rank first. Updated weekly.

35questions
~5htotal time
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1
Statistics & ProbabilityStart here. 19 questions · ~152 min
Designing an AI Hypothesis ExperimentHard

Tests experimental design thinking, controls, and statistical rigor for AI research.

ExperimentationHypothesis TestingA/B TestingGoogle DeepMind
Handling Missing ValuesMedium

Tests practical data preprocessing choices and their impact on model validity.

ExperimentationRegressionCausal InferenceGoogle DeepMind
CNNs vs Traditional Neural NetsMedium

Tests ability to explain CNN architecture and its advantages for structured data.

DistributionsRegressionCausal InferenceGoogle DeepMind
Mean and Variance CalculationEasy

Tests basic statistical computation and coding accuracy.

DistributionsVarianceExpected ValueGoogle DeepMind
Binomial Distribution Use CasesEasy

Tests probability fundamentals and ability to map distributions to real scenarios.

DistributionsExpected ValueConditional ProbabilityGoogle DeepMind
Linear Algebra for MLMedium

Tests understanding of the math foundations behind ML representations and optimization.

RegressionCausal InferenceVarianceGoogle DeepMind
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2
Behavioral & Leadership15 questions · ~120 min
Persuading a Resistant Stakeholder GroupMedium

Tests influence without authority in a disagreement, including stakeholder management, communication, and conflict resolution under real business stakes.

Stakeholder ManagementCommunicationpersuasionGoogle DeepMind
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3
More topics1 question · ~8 min
Metrics and Norms RelationshipMedium

Tests understanding of metric and norm definitions and how they relate mathematically.

MetricsGoogle DeepMind

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