Data Science Team Lead

A highly profitable Cyber Security & FinTech Unicorn developing an enterprise SaaS identity verification and biometric authentication platform. The solution enables seamless integration of advanced multi-factor authentication (facial recognition, fingerprint, voice analysis) and fraud prevention across high-scale applications.Serving top-tier global financial institutions, banks, and major insurance corporations. The company operates internationally with several hundred employees, with roughly half based in its primary Israeli R&D hub.Located in central Tel Aviv (walking distance from the train station), operating on a hybrid work model with 2 days WFH per week.Role Description-Joining as Data Science Team Lead, directly managing 3 Data Scientists with ~30–40% hands-on orientation, reporting to the Group Manager.Leading applied ML research: model selection, optimizing Decision Trees, feature engineering, training, and evaluation for Fraud Detection and identity verification algorithms.Driving the engineering lifecycle: building enterprise-grade DS/ML infrastructure, real-time production monitoring, and ensuring overall scalability.End-to-end responsibility across the full DS/MLOps lifecycle, working closely with Airflow, Spark, Cloud ecosystems, and production deployment tools.Requirements-5+ years of hands-on experience in Data Science / Applied Machine Learning roles – Mandatory2+ years of direct team management / leadership experience – MandatoryProven proficiency in Python for Data Science and Machine Learning – MandatoryHands-on experience taking Machine Learning models to Production (MLOps, Scalability, Monitoring) – MandatoryExperience with Big Data and ML frameworks (Spark, Airflow, Cloud environments) – AdvantageBackground or domain knowledge in Fraud Detection, Cybersecurity, or Biometrics – Advantage154504