transmitsecurity · Tel Aviv-Yafo, Gush Dan, Israel
Skills: Python, AWS, Docker
Company Overview: Transmit Security protects large enterprises from fraud and identity attacks. Our platform spans Mosaic (SaaS identity and fraud orchestration), FlexID (on-prem IAM), standalone fraud prevention and detection, and Agentic Trust, which secures AI agents that act on behalf of customers. Our technology is recognized by analysts, and our buyers are CISOs, fraud and financial crime leaders, and identity and digital channel owners. The product is ahead of the brand. Position Overview: Transmit Security is building the next generation of fraud prevention and Detection & Response capabilities, powered by advanced machine learning and real-time decisioning. As the Data Science Team Lead, you will lead a talented team of data scientists and ML engineers building the infrastructure, systems, and workflows for designing, training, evaluating, and deploying machine learning models that protect millions of users worldwide from fraud and account compromise. This role combines hands-on technical leadership with people management and strategic ownership. You will drive innovation across real-time model serving, customer-specific model tuning, offline AI evaluations, and scalable ML systems in a production-grade SaaS environment. If you are passionate about applied machine learning, fraud detection, and building intelligent systems at scale - we want you on our team. What We Look for in Candidates: Lead and mentor a team of Data Scientists focused on fraud detection and response capabilities. Build ML infrastructure focused on design, train, evaluate, and optimize machine learning models for real-time fraud prevention and risk assessment. Own the lifecycle of ML models in production, including experimentation, deployment, monitoring, retraining, and performance optimization. Drive customer-specific model training and tuning strategies to improve accuracy and adaptability across different customer environments. Build and improve offline AI evaluation frameworks to me…
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