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Principal/Senior Data Scientist - LLM Agents

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Palo Alto Networks

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Location:
Israel , Tel Aviv

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

As a Data Scientist, you will apply your expertise in software engineering, LLM agents, and cybersecurity to build new defense techniques against cyber-villains. You will be a driving force in designing and developing groundbreaking, Agentic LLM-based security solutions that block attacks before they begin. Join our innovative team to shape the future of cybersecurity and impact millions of customers.

Job Responsibility:

  • Contribute to a diverse and highly skilled research group that pioneers state-of-the-art technologies to protect our customers
  • utilize analytical rigor, statistical methods, programming, and data modeling to analyze vast amounts of data
  • apply cybersecurity knowledge to guide focus and approach
  • design and implement agentic LLM solutions to face modern cybersecurity challenges
  • decompose complex problems scientifically and provide actionable insights
  • lead and collaborate on end-to-end projects within the team and across engineering and product teams, from initial ideation to final deployment

Requirements:

  • At least 2 years of experience in hands-on Agentic LLM projects
  • experience with common agentic frameworks (e.g., LangChain, LangGraph)
  • emphasis on algorithmic design, large-scale deployment and monitoring
  • at least 4 years of experience as a software engineer with high proficiency in Python
  • at least good familiarity with SQL
  • deep understanding of probability, statistics, and machine learning models
  • proven track record of selecting, modifying, and applying advanced algorithms to solve practical problems
  • demonstrated ability to run end-to-end research POCs
  • good communication skills, with ability to convey complex research findings clearly
  • natural scientific curiosity and ability to handle complex problems

Nice to have:

  • Advanced degree (MSc or PhD) in Machine Learning, Computer Science, Electrical Engineering, Physics, Statistics, Applied Mathematics, or a related field
  • background in the cybersecurity domain
  • hands-on experience with open-source generative libraries (e.g., Hugging Face)
  • experience working with big data platforms (e.g., GCP)
  • familiarity with cloud-native architectures and services for data processing

Additional Information:

Job Posted:
May 04, 2026

Employment Type:
Fulltime
Work Type:
On-site work
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