Founded in 2002, AU10TIX is the global leader in AI-driven identity verification and management, protecting the world's largest brands against advanced fraud. The company's future-proof product portfolio helps businesses provide frictionless customer onboarding and verification in 4–8 seconds while staying ahead of emerging threats and evolving regulatory requirements.
We are looking for a talented and driven Data Scientist - whether you're an experienced DS Team Leader drawn to the challenge of building a team from scratch, or a strong individual contributor ready to take the next step into leadership. In this role, you will build and lead a new DS team at the heart of our Fraud Intelligence Hub, owning the full ML lifecycle - from research and feature engineering through model training, evaluation, and production performance. You will work closely with Data Engineering, ML Engineering, DevOps, and Product teams to ensure that models are not only technically sound but deliver measurable real-world impact.
This is a unique opportunity to shape a team from the ground up, define its ways of working, and drive the development of core fraud detection models in a fast-moving, high-stakes domain.
עיקרי התפקיד
Lead the end-to-end development of fraud detection ML models - from ideation and feature engineering through training, evaluation, and production ownership
Build and grow a new DS team, fostering a strong research-oriented and data-driven culture
Own model performance in production, monitoring degradation and driving timely responses