Sr Staff Data Scientist

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

• 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.
• Demonstrated independent research capabilities and a self-driven approach to learning and problem-solving.
• Passion for solving meaningful problems and eagerness to learn in a fast-paced, collaborative environment.
• Strong communication skills and ability to explain technical concepts to different audiences.
  
  

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).
• Knowledge or interest in cybersecurity - a big plus!
  
  

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 [email protected].

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.