About this role
Middesk seeks a hands-on Data Scientist to build AI-driven fraud and risk systems, apply applied ML and graph/entity-resolution techniques to messy real-world data, and partner with engineering to scale feature generation, model training, and production deployment. The role is hybrid with an expectation of 2 days per week in the San Francisco or New York office.
Skills for this role
Fraud detectionRisk modelingTrust & safetyKYBCompliance workflowsApplied machine learningProduction ML deploymentFeature engineeringModel trainingHandling class imbalanceSparse data handlingAdversarial behavior analysisEntity resolutionGraph-based approachesKnowledge graphsNetwork analysisEntity linkingWeak supervisionHeuristicsLarge language models (LLMs)Data systemsProduction systems design