Senior Data Scientist

Company Description

About CyberArk:

CyberArk, a Palo Alto Networks company, is the global leader in identity security, trusted by organizations around the world to secure human and machine identities in the modern enterprise. CyberArk’s AI-powered Identity Security Platform applies intelligent privilege controls to every identity with continuous threat prevention, detection and response across the identity lifecycle. With Identity Security, organizations can reduce operational and security risks by enabling zero trust and least privilege with complete visibility, empowering all users and identities, including workforce, IT, developers and machines, to securely access any resource, located anywhere, from everywhere. Learn more at cyberark.com.

Copyright © 2026 CyberArk Software. All Rights Reserved. All other brand names, product names, or trademarks belong to their respective holders.

Job Description

As a Data Scientist at CyberArk, you’ll join a team shaping the future of identity security and pioneering research in areas of cybersecurity and Agentic AI.

Advance your data science career by applying your established expertise to solve complex, real-world problems at scale and drive innovation alongside leaders in the cybersecurity and AI space.

• Research, design, Evaluate and production deployment of advanced AI/ML models, specializing in LLMs, RAG systems, and Agentic AI applications.
• Explore and analyze large-scale datasets to uncover patterns and drive actionable insights.
• Collaborate closely with product managers, engineers, and analysts to support feature development and validate ML ideas.
• Stay up to date with the latest academic and industry trends in AI/ML and apply best practices to real-world challenges.
• Grow your skills in classic machine learning, deep learning, natural language processing (NLP), LLMs and cybersecurity applications.
  
  

• Msc degree from a university in Computer Science, Statistics, Mathematics, Engineering, Data Science or related field, with a thesis on Data Science. GPA above 85.
• Solid understanding of machine learning fundamentals and a strong grasp of data structures, algorithms, and probability.
• Demonstrated independent research capabilities and a self-driven approach to learning and problem-solving.
• 2-4 years of hands-on experience as a Data Scientist, with proven ability in designing, building, and deploying solutions utilizing LLMs, RAG, or other Agentic AI frameworks.
• Passion for solving meaningful problems and eagerness to learn in a fast-paced, collaborative environment.
• Strong communication skills and ability to explain technical concepts to different audiences.
  
  

• Hands-on experience with deep learning frameworks (e.g., PyTorch, TensorFlow) or NLP libraries (e.g., Hugging Face).
• Experience working with cloud platforms (e.g., AWS, GCP) or distributed data tools (e.g., Spark).
• Knowledge or interest in cybersecurity - a big plus!