Become a pivotal part of DataVisor's team as a Fraud Detection Software Engineer. Lead the development of advanced algorithms for real-time fraud prevention and detection.

In this role, you will focus on enhancing the architecture that powers DataVisor’s unique machine learning capabilities. Working with an award-winning team, your contributions will help refine detection algorithms and automate processes. Utilize big data technologies while developing novel solutions to stay ahead of evolving fraud threats.

Key Responsibilities:
• Design and enhance machine learning systems for fraud detection
• Implement unsupervised and supervised learning algorithms
• Optimize systems and validation strategies for efficiency
• Build real-time distributed systems and features
• Create large-scale machine learning pipelines with big data tools

Requirements:
• 1-5 years of software development experience
• Knowledge of Java, Shell, and Python
• Excellent relational database skills with SQL
• Experience with tools like Spark or Kafka
• Familiarity with test-driven development practices

Play a critical role in shaping the future of fraud detection at DataVisor.
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📌 Fraud Detection Software Engineer (British Columbia)
🏢 DataVisor
📍 British Columbia