freehire launches on Product Hunt on 26 August. Follow the page and you'll hear the moment it opens.
Follow →Build and maintain fraud-detection systems using machine learning and big-data pipelines to protect online platforms from malicious activity.
Location: Vancouver, British Columbia, Canada
Workplace: remote
Employment Type: full
Build and refine AI models to detect fraud and abuse for a fintech-focused company using machine learning and data analysis.
A hands-on Data Scientist at DataVisor designs and optimizes machine learning models for an AI-powered fraud and anti-money laundering (AML) platform, working on pre-built detection strategies, cold start logic, and collaborating with cross-functional teams to build scalable defenses.
Amazon Designs and maintains scalable data pipelines and medallion-architecture models to support fraud detection for Amazon sellers, ensuring data integrity and performance.
Design and build scalable data pipelines and storage for an AI-driven risk decisioning platform used by banks and fintechs to detect fraud and manage compliance.
Build and optimize fraud scoring models for banking and financial services, analyzing large transaction datasets to detect anomalies and prevent financial fraud. Work with Python, SQL, and machine learning to collaborate across Anti-Fraud, Risk, and Data Engineering teams.
Builds and maintains Feedzai’s real-time fraud detection engine using Java and distributed systems, ensuring low-latency, high-availability transaction scoring for global financial clients.