Socure Staff Data Scientist - Fraud & Risk at Socure responsible for designing and optimizing advanced deep learning models for fraud detection and risk management. Lead technical initiatives and mentor peers.
Responsibilities
Design, develop, and implement advanced deep learning models including transformers, CNNs/RNNs, and graph learning algorithms
Build and optimize models using tabular data, natural language, point clouds, and images
Lead end-to-end machine learning lifecycle from data exploration to production monitoring
Take ownership of project outcomes, data quality, and delivery timelines
Mentor and share knowledge with peers and junior data scientists
Collaborate cross-functionally with Product, Engineering, and Risk teams
Conduct research to explore new data sources and develop novel algorithms
Present findings and recommendations to technical and executive stakeholders
Stay current with AI and machine learning advancements
Qualification
Required
Master’s or PhD in Computer Science or related field
