Staff Data Scientist - Fraud & Risk

Tech Stack

Solid badges = required, outlined = preferred

Responsibilities

• Design, develop, and implement advanced deep learning models, including transformers, CNNs/RNNs, and graph learning algorithms to address fraud challenges.
• Lead the end-to-end machine learning lifecycle from data exploration and feature engineering through to deployment and production monitoring.
• Mentor and share knowledge with peers and junior data scientists, fostering a culture of experimentation and continuous learning.
• Collaborate cross-functionally with Product, Engineering, and Risk teams to define data requirements and drive strategic insights.
• Conduct in-depth research to explore new data sources and develop novel algorithms that advance fraud detection capabilities.

Soft Skills

Benefits

• Hybrid Work

Culture

Requirements