AI Agents Data Science Team Leader

As a Data Science Team Leader at CyberArk you will lead a high-performing team developing AI/ML solutions that secure the digital worlds most sensitive assets. Youll play a key role in driving innovation productizing machine learning systems and applying advanced modeling techniques to real-world cybersecurity this leadership role youll balance hands-on technical involvement with strategic oversight guiding projects from research to production. Youll work closely with data scientists engineers analysts product managers and Cyber-Security researchers to build intelligent features across CyberArks identity security portfolio.

• Lead mentor and grow a team of applied data scientists working on machine learning models that power AI-driven cybersecurity solutions.
• Own the end-to-end development lifecycle of AI projects - from exploratory research and experimentation through scalable deployment and optimization.
• Partner with engineering and product leadership to define technical strategies prioritize initiatives and ensure successful model delivery.
• Drive innovation across a broad spectrum of ML domains including supervised/unsupervised learning anomaly detection and generative AI.
• Provide hands-on guidance in model development using tools such as scikit-learn PyTorch TensorFlow and Hugging Face.
• Ensure high-quality execution through strong code review practices reproducibility and model evaluation frameworks.
• Champion best practices in MLOps data governance explainability and monitoring.
• Keep pace with academic and industry advances and translate cutting-edge research into productized capabilities.

#LI-Hybrid

#LI-OS1

Qualifications :

• 6 years of industry experience in AI/ML or Data Science with at least 1-year leading teams and managing direct reports.
• Masters degree or PhD in a technical field (e.g. Computer Science Machine Learning Statistics Engineering).
• Solid proficiency in Python and machine learning libraries/frameworks such as scikit-learn PyTorch TensorFlow or Hugging Face.
• Strong familiarity with natural language processing (NLP) including LLMs and transformer-based architectures and their applications to real-world use cases.
• Strong technical communication skills and the ability to collaborate across cross-functional teams.
• Strategic mindset with the ability to connect AI research to business value and product opportunities.

Additional Information :

• Familiarity with cybersecurity identity security or risk mitigation use cases.
• Experience with cloud-based ML infrastructure (e.g. AWS SageMaker GCP Vertex AI) and big data tools (e.g. Spark Airflow).
• Hands-on knowledge of MLOps tooling for CI/CD monitoring and versioning of ML assets.
• Publications patents or open-source contributions in AI/ML.

Remote Work :

No

Employment Type :

Full-time