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 – Mandatory

• 2+ years of direct team management / leadership experience – Mandatory

• Proven proficiency in Python for Data Science and Machine Learning – Mandatory

• Hands-on experience taking Machine Learning models to Production (MLOps, Scalability, Monitoring) – Mandatory

• Experience with Big Data and ML frameworks (Spark, Airflow, Cloud environments) – Advantage

• Background or domain knowledge in Fraud Detection, Cybersecurity, or Biometrics – Advantage

154504