Data Science Manager (AI)

TL;DR

Data Science Manager (AI): Leading a team of applied data scientists to build AI/ML models that secure sensitive assets within an identity security platform with an accent on MLOps, scalability, and lifecycle management. Focus on driving innovation from research to production, utilizing NLP and LLM architectures to solve complex cybersecurity challenges.

Location: Israel (Hybrid role)

Company

A global leader in identity security, providing an AI-powered platform to protect human and machine identities in modern enterprises.

What you will do

• Lead, mentor, and grow a team of applied data scientists.
• Manage the end-to-end lifecycle of AI/ML projects from exploratory research to production deployment.
• Partner with engineering and product teams to define technical strategies and prioritize ML initiatives.
• Drive innovation in supervised/unsupervised learning, anomaly detection, and generative AI.
• Champion MLOps best practices including data governance, monitoring, and model explainability.
• Translate cutting-edge research into productized features.

Requirements

• 6+ years of industry experience in AI/ML or Data Science.
• At least 2 years of experience leading teams and managing direct reports.
• Master’s degree or PhD in a technical field (Computer Science, Statistics, etc.).
• Proficiency in Python and ML frameworks like PyTorch, TensorFlow, or scikit-learn.
• Strong familiarity with NLP, including LLMs and transformer-based architectures.
• Ability to collaborate effectively across cross-functional teams.

Nice to have

• Background in cybersecurity or identity security use cases.
• Experience with cloud ML infrastructure like AWS SageMaker or GCP Vertex AI.
• Knowledge of big data tools such as Spark or Airflow.
• Proven record of MLOps tooling implementation.