Welcome to the future of cloud networking and security!

Cato Networks is the first company to converge enterprise networking and security into one centralized and global service that is delivered by cloud. Cato’s unique technology inspired a brand-new product category, later named “SASE” by Gartner.

Cato is the brainchild of networking and security pioneers Shlomo Kramer (Check Point, Imperva) and Gur Shatz (Incapsula.) Cato Networks has raised $773 million dollars since 2015, achieving Centaur status with $100M+ in ARR, and a valuation of $3 billion dollars.

This is your opportunity to get on the rocket ship and join a company that is building a cutting-edge enterprise network and secure cloud platform and is on a fast track to becoming the worldwide market leader – don’t miss it!

We are looking for a talented and experienced Data Scientist to join our Security Data Science team. In this critical role, you will have access to vast amounts of network traffic data and lead the application of data science to security and networking challenges. Utilizing Cato Cloud data warehouse, you will develop new models and algorithms to protect Cato clients worldwide. This is a great opportunity to join a Cloud Network & Security Rocket Ship and to take part in the SASE revolution.

Responsibilities

• Use your analytical skills to perform exploratory analysis, mine insights and find opportunities in Cato’s global backbone handling dozens TB’s of inter-intra organizational data.
• Develop machine learning models, algorithms and build highly scalable solutions to address cyber security challenges. For example: design models that accurately detect malicious activity in the network
• Design and architect new capabilities and features to the Cato platform working closely with our engineers and product team to implement your solutions.
• Take initiative - “play” with the data and find new ways of creating value for Cato customers.

Requirements

• At least 3 years of industry experience in Data Science - must.
• Hands-on experience in Networking and/or Security - must.
• Strong working knowledge in classical machine learning algorithms and techniques (supervised, unsupervised, clustering, etc.).
• Experience with Big data technologies and concepts: Hadoop, MapReduce, Hive, Spark.
• Experience in deploying and working with cloud platforms for scalable and distributed machine learning projects (e.g., AWS, Azure, Google Cloud).
• Expertise in deep learning algorithms and libraries (TensorFlow/PyTorch), with practical experience in Image Processing and NLP - Advantage
• Excellent communication and presentation skills, able to clearly describe complex concepts.
• Ability to write clean and concise code, ideally in Python.
• Proven experience leading data driven projects with large data sets from definition to execution.
• Excellent English and communication skills, team player, and innovative mindset.

Education

• MSc/PhD in Computer Science, Statistics, Exact Sciences or related fields.