HUMAN Data Scientist in Cybersecurity

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 new 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 • Strong 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. #J-18808-Ljbffr