Forward Deployed Data Scientist

Working in a hybrid environment, the full-time Forward Deployed Data Scientist will collaborate with Trust and Safety teams to identify and mitigate emerging fraud patterns, develop detection tools, and enhance decision-making processes for clients. Key responsibilities Collaborate with Trust and Safety teams to detect and address emerging fraud patterns across the network Analyze large-scale datasets to identify patterns and anomalies, leading forensic investigations during fraud spikes Build and tune models, dashboards, and decision logic to help customers achieve their business objectives Required qualifications 5-8 years of experience in fraud, trust & safety, or a closely related technical domain Strong SQL and Python skills, with a focus on data analysis rather than pipeline development Solid understanding of machine learning concepts applied to fraud detection Experience analyzing large behavioral or transactional datasets for fraud pattern recognition Customer-facing experience with the ability to communicate technical findings to diverse stakeholders