סקירה כללית
^^משרה זו נלקחה מ Career^^Description We’re looking for a hands
• on Data Science Team Leader to lead a team of talented data scientists in developing cutting
• edge AI and machine learning solutions that power our next
• generation security and automation products. You’ll combine technical depth, leadership, and creativity to translate complex data into intelligent, impactful features across our product ecosystem. Key Responsibilities
• Lead and mentor a team of data scientists in designing, training, and deploying ML/AI models for production.
• Define the team’s roadmap and priorities in alignment with product and engineering leadership.
• Work closely with AI Engineering and the Product team to transform research ideas into scalable solutions.
• Oversee the full model lifecycle: data collection, feature engineering, experimentation, evaluation, and deployment.
• Drive innovation through applied research in NLP, LLMs, graph analytics, anomaly detection, and predictive modeling.
• Translate ambiguous or domain
• specific problems into rigorous ML / deep learning research initiatives.
• Ensure best practices for reproducible ML pipelines, code quality, documentation, and experimentation tracking (e.g., MLflow/W&B).
• Standardize modeling approaches and libraries across your data science team to maintain consistency and reuse.
• Work with large, heterogeneous datasets and apply statistical / ML techniques to derive meaningful insights and predictions.
• Stay ahead of trends in AI and data science and identify opportunities to integrate emerging technologies into the product. Why Join Us?
• Lead a strategic data science team building AI
• powered core features for an industry
• leading security platform.
• Work in a culture that values innovation, ownership, and scientific excellence.
• Collaborate with a world
• class R&D organization shaping the future of AI
• driven network security. Requirements
• 5+ years of experience in data science or machine learning, including 2+ years in a leadership or mentoring role.
• Strong background in Python, ML frameworks (TensorFlow, PyTorch, scikit
• learn), and data processing tools (Pandas, Spark, SQL).
• Proven experience in algorithms development, optimization, or custom modeling beyond out
• of
• the
• box solutions.
• Proven ability to lead research
• to
• production projects in collaboration with software engineers.
• Solid understanding of statistics, probability, and experimental design.
• Excellent communication skills and ability to translate complex ideas into actionable plans.
• BSc/MSc/PhD in Computer Science, Mathematics, Statistics, or related field. Advantage
• Background in network security.
• Experience with LLMs, RAG architectures, or graph
• based modeling (Neo4j, NetworkX).
• Familiarity with on
• prem and hybrid AI deployment architectures.
דרישות המשרה
• Lead and mentor a team of data scientists in designing, training, and deploying ML/AI models for production.
• Define the team’s roadmap and priorities in alignment with product and engineering leadership.
• Work closely with AI Engineering and the Product team to transform research ideas into scalable solutions.
• Oversee the full model lifecycle: data collection, feature engineering, experimen
