Why Join Us?

Join our AI & Innovation group as a Data Scientist and help shape the future of AI-driven security solutions. You’ll work with a team of passionate, sharp-minded professionals tackling complex challenges at the intersection of AI, data science, and cybersecurity — building the next generation of security products at the core of Check Point’s strategy.

You’ll have access to some of the best cybersecurity data sources available, working in a fast-moving, dynamic environment that blends the agility of a startup with the scale and stability of a global leader.

If you’re excited about solving real-world AI challenges, translating research into impactful solutions, and collaborating with top talent to push the boundaries of innovation — we want to hear from you.

Key Responsibilities

• Translate ambiguous product or business challenges into well-defined data science problems
• Research and prototype cutting-edge AI techniques (LLMs, RAG, knowledge graphs, etc.)
• Design and implement data-driven algorithms, analyze data, build and evaluate models
• Collaborate with engineering to deploy scalable, production-ready solutions
• Work with product teams to align AI solutions with user needs and business goals
• Collaborate cross-functionally with engineers, product managers, and fellow scientists to bring research into production and deliver measurable impact
• Stay current with advancements in AI/ML and generative AI, and actively contribute to innovation within the team and broader organization
  
  

• 5+ years of experience as a Data Scientist, working on machine learning-related projects or equivalent experience
• Hands-on experience in modern AI techniques, including LLMs, embeddings, knowledge graphs, retrieval-augmented generation (RAG), multi-agent systems and prompt-engineering
• Strong proficiency in Python and relevant ML/AI frameworks (e.g., Hugging Face Transformers, PyTorch, scikit-learn), as well as graph and vector database technologies
• Experience working with large datasets and data processing libraries (e.g., Pandas, NumPy, Spark)
• Pragmatic approach, open-minded, good communicator who can simplify complex ideas and designs
• BSc in Computer Science or related field. MSc - advantage
• Background in cybersecurity - advantage