Office - Israel - Tel Aviv
Actively hiring, first seen by us 1 hour 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
Experience: 7+ years of hands-on experience designing and delivering production-grade machine learning systems and applied data science solutions.
Communication and Influence: Exceptional communication skills, with the ability to distill complex technical abstractions into clear, compelling narratives for technical teams and non-technical business partners.
Hands-on experience working with Big Data platforms and cloud-scale data processing (e.g., GCP, BigQuery, Dataflow).
Familiarity with cloud-native architectures and MLOps tooling for managing the end-to-end model lifecycle at scale.
- Experience: 7+ years of hands-on experience designing and delivering production-grade machine learning systems and applied data science solutions. - Education: Advanced degree (MSc or PhD) in Machine Learning, Computer Science, Electrical Engineering, Physics, Statistics, Applied Mathematics, or a closely related quantitative discipline. - Deep Learning Expertise: Proven track record in model design, training, and evaluation, with a focus on advanced transformer architectures across tasks such as text classification, token or span classification, and semantic embeddings, as well as adapting large language models (LLMs) via post-training pipelines (Supervised Fine-Tuning [SFT] and Reinforcement Learning [RL/RLHF]) for downstream tasks.
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
Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 0
Early. 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.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Statistical and Algorithmic Rigor: Deep theoretical and practical mastery of probability, statistics, and machine learning, with the ability to invent or adapt advanced algorithms to complex, real-world constraints. - Software Engineering Standards: Strong proficiency in Python and solid working knowledge of SQL, with a commitment to writing production-ready code that meets high benchmarks for reliability, scalability, and maintainability. - Research Ownership: Demonstrated track record of owning end-to-end research proofs of concept, from hypothesis formulation and experimental design to empirical analysis and production rollout.
- Proven track record in applied data science for cybersecurity, including direct experience with detection and response platforms (e.g., XDR, EDR, or NDR). - Hands-on experience working with Big Data platforms and cloud-scale data processing (e.g., GCP, BigQuery, Dataflow). - Familiarity with cloud-native architectures and MLOps tooling for managing the end-to-end model lifecycle at scale.
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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 Principal / Principal Data Scientist, you bring extensive experience in applied research and a proven track record of production impact. You will apply your expertise in data analysis, machine learning, and cybersecurity to build advanced AI-driven defense mechanisms across diverse deployment environments, including cloud and endpoints, navigating various operational constraints. In this senior technical leadership role, you will be a driving force in designing and developing groundbreaking models that detect, govern, and mitigate critical security threats.
Key Responsibilities
Qualifications
Required Qualifications
Preferred Qualifications
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 - Tel Aviv
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.