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DataVisor

Verified Job Source

The most powerful AI fraud and AML detection platform trusted by the world's largest brands.

Mountain View, California

Software Development
51–200 people

About

DataVisor is the AI-native real-time decisioning engine for fraud and financial crime prevention. As AI transforms both fraud attacks and fraud defense, DataVisor helps financial institutions, payment providers, and digital businesses detect, investigate, and stop sophisticated and previously unseen threats in milliseconds across billions of transactions. Combining adaptive machine intelligence, consortium intelligence, and emerging agentic AI capabilities, DataVisor enables organizations to modernize fraud operations, improve customer experience, and stay ahead of rapidly evolving financial crime. DataVisor is trusted by leading financial institutions, payment innovators, Fortune 500 enterprises, and digital businesses worldwide.

Open positions

Senior Data Scientist - Fraud Detection

Hybrid · Toronto

Lead the full lifecycle of fraud detection models and machine learning systems while conducting hands-on investigations into complex fraud cases. Synthesize case-level findings into actionable trend reports and technical documentation for various stakeholders.

Senior Data Scientist - Fraud Detection

Hybrid · Vancouver

The Senior Data Scientist will lead the full lifecycle of fraud detection models and develop predictive features from large-scale datasets. Additionally, they will conduct hands-on investigations into complex fraud cases to reconstruct attacker behavior and generate actionable trend reports.

Senior Data Scientist - Fraud Detection

Hybrid · Calgary

Lead the full lifecycle of fraud detection machine learning models and develop predictive features from large-scale datasets. Conduct hands-on investigations into complex fraud cases to reconstruct attacker behavior and generate actionable trend reports.

Software Engineer - Canada

Remote · Vancouver, British Columbia, Canada

Design and build machine learning systems that process large-scale data sets to detect fraudulent behavior in real-time. Develop and optimize distributed systems, tools, and validation strategies to support new features and improve detection algorithms.