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Principal Data Scientist

1 month ago Tel Aviv, Israel

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

This role is remote, but distance is no barrier to impact. Our hybrid teams collaborate across geographies to solve big problems, stay close to our customers, and grow together. You will be part of a culture that values trust, accountability, and shared success where your work truly matters.

Job Description

The TeamOur engineering team is at the core of our products and connected directly to the mission of preventing cyberattacks. We are constantly innovating - challenging the way we, and the industry, think about cybersecurity. Our engineers don't shy away from building products to solve problems no one has pursued before.We define the industry instead of waiting for directions. We need individuals who feel comfortable in ambiguity, excited by the prospect of a challenge, and empowered by the unknown risks facing our everyday lives that are only enabled by a secure digital environment.Job SummaryAre you passionate about harnessing cutting-edge data science techniques to protect the world from cyber threats? Do you thrive in the dynamic world of cybersecurity? If so, we invite you to join our innovative and forward-thinking team at Palo Alto Networks, where you'll have the opportunity to shape the future of cybersecurity and impact millions of customers. As a Principal Data Scientist, you will apply your expertise in data analysis, machine learning, and cybersecurity to build new endpoint-based defense techniques against cyber-villains. You will be a driving force in designing and developing groundbreaking, ML-based security solutions that block attacks even before they begin.Key ResponsibilitiesContribute to a diverse and highly skilled research group that pioneers state-of-the-art technologies to protect our customersUtilize analytical rigor, statistical methods, programming, and data modeling to analyze vast amounts of data, applying your cybersecurity knowledge to guide our focus and approachDecompose complex problems scientifically and provide actionable insights and recommendations to both technical and non-technical stakeholdersLead and collaborate on end-to-end projects within the team and across engineering and product teams, from initial ideation to final deployment

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Qualifications (Additional Job Description)

Required Qualifications6+ years of hands-on experience delivering production-grade data science and machine learning projectsDeep expertise in probability, statistics, and machine learning, with a proven ability to select, adapt, and apply advanced algorithms to real-world problemsProven deep learning experience, including model design, training, and evaluationStrong proficiency in Python with solid working knowledge of SQLAdvanced degree (MSc or PhD) in Machine Learning, Computer Science, Electrical Engineering, Physics, Statistics, Applied Mathematics, or a closely related fieldDemonstrated ownership of end-to-end research POCs, from problem formulation and experimental design through execution, analysis, and final recommendationsStrong emphasis on engineering-quality, production-ready code with high standards for reliability, scalability, and maintainabilityExcellent communication skills, with the ability to clearly articulate complex technical insights to both technical and business stakeholdersAdvantages:Background in the cybersecurity domain, with focus on endpoint securityExperience working with big data platforms (e.g., GCP)Familiarity with cloud-native architectures and services for data processing

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.

Client-provided location(s): Tel Aviv, Israel
Job ID: Palo_Alto_Networks-JR-012958
Employment Type: OTHER
Posted: 2025-12-16T20:01:28

Perks and Benefits

  • Health and Wellness

    • Health Insurance
    • Dental Insurance
    • Vision Insurance
    • FSA
    • HSA
    • HSA With Employer Contribution
    • Life Insurance
    • Short-Term Disability
    • Long-Term Disability
    • Fitness Subsidies
    • On-Site Gym
    • Pet Insurance
    • Mental Health Benefits
    • Virtual Fitness Classes
  • Parental Benefits

    • Fertility Benefits
    • Adoption Assistance Program
    • Family Support Resources
    • Birth Parent or Maternity Leave
    • Non-Birth Parent or Paternity Leave
    • Adoption Leave
  • Work Flexibility

    • Flexible Work Hours
    • Remote Work Opportunities
    • Hybrid Work Opportunities
    • Work-From-Home Stipend
  • Office Life and Perks

    • Commuter Benefits Program
    • Casual Dress
    • Happy Hours
    • Snacks
    • On-Site Cafeteria
    • Holiday Events
  • Vacation and Time Off

    • Paid Vacation
    • Unlimited Paid Time Off
    • Paid Holidays
    • Personal/Sick Days
    • Leave of Absence
    • Volunteer Time Off
  • Financial and Retirement

    • 401(K)
    • 401(K) With Company Matching
    • Company Equity
    • Stock Purchase Program
    • Performance Bonus
    • Relocation Assistance
  • Professional Development

    • Promote From Within
    • Mentor Program
    • Access to Online Courses
    • Leadership Training Program
    • Tuition Reimbursement
    • Lunch and Learns
    • Internship Program
    • Professional Coaching
    • Work Visa Sponsorship
  • Diversity and Inclusion

    • Diversity, Equity, and Inclusion Program
    • Employee Resource Groups (ERG)
    • Founder led
    • Veteran founded/led
    • Asian founded/led

Company Videos

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