Office - Israel - Petach Tikva
Live, first seen by us 46 days agoEmployment type in the employer’s posting: Full timeFrom the employer’s posting
Please note that we will not sponsor applicants for work visas for this position
Research, design, evaluate, and deploy advanced AI/ML models, especially LLMs and RAG systems
Explore and analyze large-scale datasets to find patterns and actionable insights
Support feature development and validate ML ideas with product and engineering teams
Apply the latest AI/ML research trends to real-world challenges
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.
5+ 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.
Solid understanding of machine learning fundamentals and a strong grasp of data structures, algorithms, and probability.
Strong communication skills and ability to explain technical concepts to different audiences.
- 5+ 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.
At Palo Alto Networks®, we’re united by a shared mission—to protect our digital way of life.
In the employer’s words · Read in context
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Day 46
Similar jobs usually come down between day 8 and day 60.
At Palo Alto Networks, jobs usually come down by about day 40.
From 11,897 similar postings that came down, and 48 of Palo Alto Networks’s. Coming down is not always a hire.
38 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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- 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!
Additional information - 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).
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New Data Scientist postings at the employers we follow are down 5% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
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 Senior Staff 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.
Qualifications
Qualifications
Additional information
Our Commitment
We’re trailblazers that dream big, take risks, and challenge cybersecurity’s status quo. It’s simple: we can’t accomplish our mission without diverse teams innovating, together.
We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at accommodations@paloaltonetworks.com.
Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics.
All your information will be kept confidential according to EEO guidelines.
Is role eligible for Immigration Sponsorship? No. Please note that we will not sponsor applicants for work visas for this position.Selected passages from the saved posting. Check the full description for conditions and exceptions.
No pay amount identified in the saved description.
Office - Israel - Petach Tikva
Working pattern and location restrictions need checking in the full posting.
All your information will be kept confidential according to EEO guidelines. Is role eligible for Immigration Sponsorship? No. Please note that we will not sponsor applicants for work visas for this position.