Senior Data Scientist, AIOps

Key Skills

Deep Learning, Keras software library, PyTorch, XGBoost, Scikit-learn, GANs, Statistics, Linear Algebra, Algorithms, MLOps tools, CNNs, AIOps, Multivariate analysis, K-Means clustering, Transformer

Job Description

At Palo Alto Networks® everything starts and ends with our mission:

Being the cybersecurity partner of choice, protecting our digital way of life.

We have the vision of a world where each day is safer and more secure than the one before. These aren’t easy goals to accomplish – but we’re not here for easy. We’re here for better. We are a company built on the foundation of challenging and disrupting the way things are done, and we’re looking for innovators who are as committed to shaping the future of cybersecurity as we are.

Disruption is at the core of our technology and on our way of work to meet the needs of our employees now and in the future through FLEXWORK, our approach to how we work. We’re changing the nature of work from benefits to learning, location to leadership, we’ve rethought and recreated every aspect of the employee experience at Palo Alto Networks. And because it FLEXes around each individual employee based on their individual choices, employees are empowered to push boundaries and help us all evolve, together.

Your Impact

• Drive development of highly scalable ML-driven features on our next-generation ML/AIOps cyber-security platform as part of Cloud management
• Collaborate with a team of machine learning engineers and data scientists and establishing credibility through quality technical execution
• Drive innovation in all core product pillars of Predict, Plan and Secure
• Work closely with leadership team on the ML features roadmap

Your Experience

• Domain expertise and solid skills in computer science, applied math, statistics, and machine learning, alongwith quantitative data analysis of large volumes of observational data by rapidly prototyping new tools.
• Practitioner experience in designing, developing and evaluating ML and Deep Learning algorithms.
• Proficiency in mathematical foundations behind ML such as linear algebra, multivariate statistics, and optimization.
• Have a strong working knowledge of ML algorithms including XGBoost, CatBoost, Kmeans, CNNs, LSTMs, attention, transformers, and GANs
• Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)
• Able to weigh several, often conflicting constraints, and make quick decisions in a dynamic and quickly-growing company.
• Highly organized. With many people doing many things in a fast-paced company, strong organizational skills both for yourself and for the team is needed for success
• Previous experience building and running high-scale geographically distributed always-on systems plus a good mix of Unix toolchain and systems programming experience. 
• Possess exceptional written and verbal communication skills
• Bachelor's degree in Computer Science, Engineering or related field, or equivalent training, fellowship, or work experience.

The Team

Drawing on the near real-time data collected through PAN-OS device telemetry, our industry-leading next generation insights product (Device Insights) gives large cybersecurity operators a force multiplier that provides visibility into the health of their next-generation-firewall (NGFW) devices. It enables early detection of issues at various levels of the stack via advanced time-series forecasting and anomaly detection using novel deep learning techniques. Our goal is to be able to prevent service-impacting issues in critical security infrastructure that operates 24/7/365 with zero false positives and zero false negatives.

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.

Palo Alto Networks is evolving and changing the nature of work to meet the needs of our employees now and in the future through FLEXWORK, our approach to how we work. From benefits to learning, location to leadership, we’ve rethought and recreated every aspect of the employee experience at Palo Alto Networks. And because it FLEXes around each individual employee based on their individual choices, employees are empowered to push boundaries and help us all evolve, 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.

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.