Principal/Senior Data Scientist - Agent Team - AI & ML (Cortex)

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

Are 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 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.

• 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.
• 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.

• 6+ years of hands-on experience delivering production-grade data science and machine learning solutions.
• Proven experience with deep learning and transformer-based models, including model design, training, optimization, and evaluation.
• Strong Python proficiency with solid working knowledge of SQL.
• Advanced degree (MSc or PhD) in Machine Learning, Computer Science, Electrical Engineering, Physics, Statistics, Applied Mathematics, or a related field.
• Deep expertise in probability, statistics, and machine learning, with the ability to select, adapt, and apply advanced algorithms to real-world problems.
• Demonstrated ownership of end-to-end research POCs, from problem formulation and experimental design to implementation, analysis, and actionable recommendations.
• Strong focus on engineering-quality, production-ready code, with high standards for reliability, scalability, and maintainability.
• Excellent communication skills, with the ability to translate complex technical insights into clear explanations for both technical and business stakeholders.

• Background in the cybersecurity domain, with focus on endpoint security
• Experience working with big data platforms (e.g., GCP).
• Familiarity with cloud-native architectures and services for data processing.