DataVisor is a fraud detection company powered by transformational AI technology.
DataVisor champions the fight against digital fraud and financial crime, empowering major organizations to secure their operations. Founded in 2013, DataVisor offers an AI-powered, end-to-end fraud and risk SaaS platform. This platform leverages advanced machine learning, including patented unsupervised machine learning, to detect and prevent sophisticated fraud attacks in real-time. You'll find their solutions protecting everything from account takeovers and fraudulent transactions to money laundering for Fortune 500 companies in banking, fintech, payments, and e-commerce. DataVisor’s technology helps businesses respond proactively to evolving threats, minimizing financial losses and enhancing customer trust.
DataVisor fosters an open, positive, collaborative, and results-driven culture. Team members, diverse in backgrounds and experiences, unite around a shared goal: protecting customers from fraud and abuse. You'll find a focus on team spirit and curiosity, with an emphasis on rewarding and motivating employees to achieve their full potential. They value quality over hours spent at a desk, encouraging work-life balance and self-care. The company is headquartered in Mountain View, California, with roles also available in Canada.
Engineers at DataVisor build next-generation machine learning platforms that incorporate both unsupervised (UML) and supervised machine learning (SML) algorithms to combat fraud. Their core innovation lies in their patented unsupervised machine learning technology, which identifies new and unknown fraud patterns in real-time without needing historical data or labels. This is crucial because fraudsters constantly change their tactics, making traditional SML methods reactive. You will work on designing and building scalable machine learning systems that process vast datasets from the world’s largest consumer services. This involves developing architectures for real-time UML, expanding novel streaming and database systems, and using big data technologies like Spark, Hadoop, HBase, Cassandra, Kafka, and Flink. DataVisor's AI Co-Pilot, a generative AI-powered tool, also assists in automating rule refinement and generating scripts, enhancing efficiency for fraud teams.