Data Scientist

Cato Networks is hiring a Data Scientist in Tel Aviv, Israel. Level rates it ; you can apply on Cato Networks.

Level's read on this job

On Level's scale, this data scientist role is Builds AI ●●●●: the job is building AI systems.
Tools and skills the posting cites include PyTorch, TensorFlow and prompt engineering.
Level classifies it as a mid-level role.
Level lists 108 other open roles at Cato Networks.

AI in this role

pytorchtensorflow

prompt-engineeringragai-agentsnlp

Cato Networks is the converged network and security cloud for the AI era.

As AI reshapes cybersecurity, enterprises face a dual challenge: unlocking AI’s potential while defending against AI-driven attacks. Cato addresses both through a unified, cloud-native platform, providing the visibility and context to prioritize risks and stop threats in real time across users, applications, data, and AI agents.

Join us as we scale: take on ambitious technological challenges and shape the next generation of enterprise security at a company trusted by thousands of organizations worldwide.

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

How we rate this

Data Scientist at Cato Networks rates 97 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Data Scientist is an open job at Cato Networks.
Level rates this role AI Level 4 of 4: Builds AI.
The role is based in Tel Aviv District, Israel.
The job was posted on April 26, 2026.
Seniority: mid.
Applications are handled by Cato Networks. Apply on Cato Networks

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Prompt engineeringRAGAI agentsNLPPyTorchTensorFlow

Also common in data scientist jobs at this level

Python SQL Spark scikit-learn MLOps LangChain

Pay

Typical data scientist job: $166k

This posting doesn't list pay. Use the typical data scientist figure when pay comes up. See data scientist jobs

Questions you could be asked

How do you structure and test a prompt to get consistent output from a language model?
How would you design a retrieval step so the model answers from real data instead of guessing?
How do you decide when an AI agent can act on its own versus asking for approval first?
What NLP problem have you worked on, and how did you measure whether it actually worked?
Walk me through how you've used PyTorch in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Prompt engineering, RAG, AI agents, NLP, and PyTorch. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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