Data Scientist
Cato Networks is seeking a talented and experienced Data Scientist to join our Research Data Science team in Tel Aviv District, Israel. As a pioneer in converging enterprise networking and security into a centralized cloud service, Cato Networks is at the forefront of the Secure Access Service Edge (SASE) market, projected to reach $28.5 billion by 2028. This role offers the opportunity to contribute to cutting-edge enterprise network and security solutions within a rapidly growing company.
In this position, you will lead the design, development, and deployment of AI and machine learning models that enhance Cato’s security and networking products. Your responsibilities will include analyzing large-scale network traffic and security data to identify patterns, threats, and opportunities for product improvement. Collaborating cross-functionally with product, engineering, and support teams, you will translate business needs into AI solutions and define success metrics to ensure these solutions meet performance and business goals.
The ideal candidate will have a minimum of 3 years of professional experience in data science roles, with hands-on experience in networking and/or cybersecurity domains. A strong foundation in classical machine learning methods, practical experience with deep learning frameworks such as TensorFlow or PyTorch, and proven experience deploying models on cloud platforms like AWS, Azure, or Google Cloud are essential. Excellent analytical, problem-solving, and communication skills, along with the ability to work independently and collaboratively, are also required.
Joining Cato Networks means becoming part of a team of veteran technology and security experts dedicated to simplifying complex problems. We offer a dynamic work environment where innovation is encouraged, and employees have the opportunity to make a significant impact in the rapidly evolving SASE space. If you are passionate about data science and eager to drive innovation in cloud-native network security, we invite you to apply.