New opportunity

Senior Applied ML Scientist

SentiLink · United States

About this role

Build and maintain SentiLink’s fraud detection and financial risk models end-to-end, including data acquisition, featurization, labeling, model training, experimentation, productionalization, and monitoring, and research new fraud and identity verification products. The role involves writing production-ready code, collaborating with engineering and operations teams, and requires 4+ years (PhD) or 6+ years (Masters) of relevant experience and legal authorization to live and work in the United States.

Skills for this role

Python 3PostgreSQLAWSEC2S3RDSRedshiftFeature engineeringModel trainingModel productionalizationModel monitoringExperimentationData acquisitionData qualityProduction-ready codeUnit testingStatistical modelingMachine learningFraud detectionIdentity verificationRisk modelingStakeholder communication