How it went
The interview process at Mercor for a Data Scientist role was challenging, requiring candidates to deeply explain past projects and justify technical decisions. The day-long on-site involved several components: a SQL assessment with medium-difficulty problems, an analytics exercise using Python with messy data and AI tools, a modeling strategy discussion, and a product sense interview.
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.