Join HUMAN as a Data Scientist focusing on bot detection and fraud prevention. Leverage statistical techniques and machine learning to enhance security for major internet brands. In this role, you will support the full fraud-fighting lifecycle, from gathering business requirements to developing statistical detection algorithms.

Your experience with large datasets and statistical modeling will be essential as you work alongside Product, Engineering, and Analysts to elevate HUMAN's detection capabilities. Expect to contribute to best practices in Data Science and engage actively with cross-functional teams. Key Responsibilities:
Collaborate with cross-functional teams on data-driven projects
Research current detection frameworks and statistical techniques




Review peer work to ensure quality detection algorithms
Develop software tools to automate fraud detection tasks
Maintain clean codebase through CI/CD practices Requirements:
Experience with large-scale data processing systems
Proficiency in Python, SQL, and relevant libraries
Solid debugging skills and object-oriented programming
Familiarity with SDLC best practices
Proven experience in cross-functional project work Be at the forefront of cybersecurity by enhancing detection methodologies and driving innovation within HUMAN.

📌 Human Data Scientist In Cybersecurity Toronto
🏢 US Health Partners
📍 Toronto