How it went
The interview process for the Data Scientist role at PayPal was straightforward and included a technical screen, an A/B testing and statistics interview, and a final round with the hiring manager. The technical screen involved SQL and Python questions, while the statistics portion covered fundamental concepts like alpha, type 1, and type 2 errors. The final interview focused primarily on behavioral questions, with some discussion around two-sided marketplaces.
What came up
Data ModelingMachine LearningConceptStatistics & ExperimentationData AnalysisCodingSQLData Structures & AlgorithmsPeople ManagementProject ManagementProgram SenseCross FunctionalSystem DesignProduct DesignEstimationProduct StrategyAnalyticalTechnicalExecutionBehavioralCustomer InteractionApp CritiqueData Pipeline DesignArtificial IntelligencePresentationPortfolio ReviewDebuggingCode ReviewProject Discussion
A candidate-reported account, lightly edited. Interview processes change by team and date.
