Data Scientist position 

We are looking for a talented and experienced Data Scientist to join our Research Data Science team and play a key role in shaping the future of cloud-native network security. Your primary mission will be to lead the development and deployment of AI-driven capabilities that protect enterprise networks at scale through Cato’s SASE platform, powering core products such as our AI assitant, DLP, XDR, IPS, and more. 
Leveraging rich, real-time data from our global backbone and Cloud data warehouse, you will apply advanced reserach analytics, machine learning, deep learning and GenAI techniques to solve complex cybersecurity and networking challenges.  
 

This is an exciting opportunity to join a fast-growing company and drive innovation in the rapidly evolving SASE space. 

Key Responsibilities 

• Lead the design, development, and deployment of AI/ML models that enhance Cato’s security and networking products 

• Leading networking and security research, including analysis of large-scale network traffic and security data to identify patterns, threats, and opportunities for product improvement 

• Research, fine-tune, and train models optimized for real-time inline inference under limited compute resources 

• Collaborate cross-functionally with product, engineering, and support teams to translate product and business needs into AI solutions 

• Define and track success metrics to ensure AI solutions meet performance and business goals 

Qualifications 

• Minimum 3 years of professional experience in Data Science roles 

• Hands-on experience in networking and/or cybersecurity domains 

• Proven experience building and deploying LLM-based applications and agents (e.g., RAG pipelines, tool-use agents, prompt engineering at scale) 

• Strong foundation in classical machine learning methods (supervised, unsupervised learning, clustering) 

• Practical experience with deep learning frameworks such as TensorFlow or PyTorch, including NLP techniques 

• Proven experience deploying models on cloud platforms like AWS, Azure, or Google Cloud 

• Excellent analytical, problem-solving, and communication skills 

• Self-motivated, collaborative, and able to work independently 

How to Stand Out 

• Experience with real-time or low-latency AI inference in production environments. 

• Advanced degree (MSc or PhD) in Computer Science, Statistics, Mathematics, or a related quantitative field 

We are looking for proactive, analytical, talented people to join the Cato Security Content team. 
As a Research Engineer (Security Network & Apps), you will add content to Cato’s security and network products such as NGWF, CASB, DLP, and more. 
Using agentic AI tools (Claude code, Cursor) and modern big data analysis frameworks (Redash, Athena), and network and web analysis tools to analyze network protocols and application traffic. 

Joining Cato is an excellent opportunity for network security enthusiasts who are passionate about the future of Networking and Security.
 

Responsibilities: 

• Research and analyze network and application behavior as part of Cato Networks security products (NGFW, CASB, DLP, and more).
• Lead cross-team projects to deliver product development outcomes in partnership with Engineering and Product. 
• Focus on the customer’s impact and understand the business perspective.
• Suggest and conduct new research vectors.
• Work with AI tools and coding agents to automate your work and improve efficiency.
• Utilize Cato’s Data Warehouse with big-data technologies to support your work.

Requirements: 

• 5+ years of hands-on experience in the cyber/security/network industry.
• Knowledge of networking architecture, OSI model, and protocols (TCP/IP, DNS, TLS, HTTP).
• Experience with SQL or data analysis tools (Kibana, Elastic,etc).
• Experience with at least one scripting language, such as Python.
• Experience (Hands-on) with Wireshark and PCAP analysis or similar tools.
• Used AI tools and coding agents for research, development, and validation- Big advantage.
• Experience with signature development for IPS, Firewall, iOT protection, etc - Big advantage
• Researcher mindset: define a thesis and validate it based on in-depth analysis and technical facts.
• Team player, responsible, critical thinker, and well-organized

• Research and analyze new threats and develop product content such as IPS signatures and logic to provide the best protection for Cato’s customers.
• Enhance product accuracy and its ability to detect new threats in the dynamically-changed security landscape.
• Monitor your work using different monitoring tools and methods over the cloud.
• Utilize Cato Data Warehouse with big-data technologies to support your work.

• Experience with at least one scripting language such as Python or Ruby - Advantage
• Analytic spirit: define a thesis and validate it based on in-depth analysis and technical facts.
• Excellent English and communication skills.
• Team player, responsible, and well-organized.
• B.Sc.. in Computer Science, Information technology or Mathematics