Data Scientist – AI/ML for Cloud‑Native Network Security

About the role

Cato Networks is seeking an experienced Data Scientist to join its Research Data Science team. You will lead the creation and deployment of AI‑driven capabilities that protect enterprise networks at scale through Cato’s SASE platform, powering products such as AI assistants, DLP, XDR, and IPS.

Key responsibilities

• Design, develop, and deploy AI/ML models that enhance security and networking products.
• Analyze large‑scale network traffic and security data to identify patterns, threats, and product improvement opportunities.
• 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 business needs into AI solutions.
• Define and track success metrics to ensure AI solutions meet performance and business goals.

Required profile

• Minimum 3 years of professional experience in Data Science.
• Hands‑on experience in networking and/or cybersecurity domains.
• Proven experience building and deploying LLM‑based applications and agents.
• Strong foundation in classical machine learning methods.
• Excellent analytical, problem‑solving, and communication skills.

Required skills

• TensorFlow or PyTorch (including NLP techniques).
• Experience with AWS, Azure, or Google Cloud for model deployment.
• Deep learning, supervised and unsupervised learning, clustering.
• Large language model (LLM) pipelines, retrieval‑augmented generation (RAG), prompt engineering.
• Real‑time or low‑latency AI inference in production environments.