Principal/ Senior Data Scientist - LLM Agents
- Compensation
- Not disclosed
- Location
- Office - Israel - Tel Aviv
- Work setup
- Not specified
- Seniority
- Principal
- Employment
- Full time
- Experience
- 2+ years
- Category
- Data science
- Posted
Skills
Must have
- Natural scientific curiosity and ability to handle complex problems.
- At least 2 years of experience in hands-on Agentic LLM projects. This includes experience with the common agentic frameworks (e.g., LangChain, LangGraph), with emphasis on algorithmic design, large-sc
- At least 4 years of experience as a software engineer with high proficiency in python and at least good familiarity with SQL.
- Deep understanding of probability, statistics, and machine learning models with a proven track record of selecting, modifying, and applying advanced algorithms to solve practical problems.
- Demonstrated ability to run end-to-end research POCs, from conceptualization to solutions, including designing, executing, analyzing, and concluding research methodologies and outcomes.
- Good communication skills, with the ability to convey complex research findings clearly and effectively to both technical and business audiences.
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.
Full description
Our Mission
At Palo Alto Networks®, we’re united by a shared mission—to protect our digital way of life. We thrive at the intersection of innovation and impact, solving real-world problems with cutting-edge technology and bold thinking. Here, everyone has a voice, and every idea counts. If you’re ready to do the most meaningful work of your career alongside people who are just as passionate as you are, you’re in the right place.
Who We Are
In order to be the cybersecurity partner of choice, we must trailblaze the path and shape the future of our industry. This is something our employees work at each day and is defined by our values: Disruption, Collaboration, Execution, Integrity, and Inclusion. We weave AI into the fabric of everything we do and use it to augment the impact every individual can have. If you are passionate about solving real-world problems and ideating beside the best and the brightest, we invite you to join us!
We believe collaboration thrives in person. That’s why most of our teams work from the office full time, with flexibility when it’s needed. This model supports real-time problem-solving, stronger relationships, and the kind of precision that drives great outcomes.
Job Summary
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.
Important: this role requires a unique combination of hands-on software engineering skills as well as previous experience with designing and delivering LLM-driven products.
Key Responsibilities
- 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, applying your cybersecurity knowledge to guide our focus and approach.
- Design and implement agentic LLM solutions to face modern cybersecurity challenges.
- Decompose complex problems scientifically and provide actionable insights and recommendations to both technical and non-technical stakeholders.
- Lead and collaborate on end-to-end projects within the team and across engineering and product teams, from initial ideation to final deployment.
Qualifications Required Qualifications
- Natural scientific curiosity and ability to handle complex problems.