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Palo Alto Networks Logo Palo Alto Networks · IT - Software Development

Senior Staff Data Scientist (AI Solutions - Machines)

Israel, Petah Tikva · Job Posted June 03, 2026
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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.

Job Responsibility

  • 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

Requirements

  • 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
  • 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
  • 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

Nice to have

  • 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!
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