Posted 19 days ago
The Senior Data Scientist will develop, productionize, and monitor fraud detection models and features using large-scale data, while applying machine learning and analytics automation. The role also leads investigations into fraud cases, reconstructs attacker behavior, and produces technical case studies and customer-facing trend reports.
Posted 19 days ago
The Tech Lead will own technical direction and execution for DataVisor’s real-time fraud detection platform, including its streaming, storage, and machine-learning training systems. Responsibilities include hands-on engineering, architecture and operational leadership, mentoring, partnering on customer-impacting issues, and developing safe AI-assisted engineering tools and practices.
Posted 2 months ago
The Senior Technical Account Manager manages client relationships and serves as a technical advisor, overseeing data integration, onboarding, and implementation of DataVisor’s fraud and risk platform. Responsibilities include resolving technical issues, designing machine-learning and rule-based solutions, supporting late-stage pre-sales discussions, managing implementations, conducting client business reviews, and relaying customer feedback to product teams.
Posted 2 months ago
The Software Engineer will design and build machine-learning systems and scalable pipelines for real-time fraud detection. Responsibilities include developing detection algorithms, optimizing tools and validation strategies, and building distributed systems using big-data and streaming technologies.
Posted 3 months ago
The Senior Customer Success Manager serves as a strategic advisor to enterprise clients, helping them achieve value from DataVisor’s fraud detection and AML platform. Responsibilities include guiding onboarding and adoption, monitoring detection performance, advising on fraud strategies and platform use, coordinating with internal teams, and identifying opportunities to improve outcomes and expand client relationships.
Posted 4 months ago
The Project and Release Manager coordinates engineering sprints, QA, release scope and schedules, engineering productivity metrics, and cross-team projects. The role also owns system release activities and incident response, including stakeholder communications and postmortems.
Posted 9 months ago
The Senior Software Engineer will build and optimize machine-learning systems and pipelines for real-time fraud detection, using techniques including unsupervised, supervised, and deep learning. Responsibilities include developing distributed systems and streaming/database capabilities, and creating tools and validation strategies to support platform features.
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