This role combines strong Data Science expertise with the ability to independently lead impactful, production-grade work in complex environment.

The role focuses on developing AI capabilities on top of complex data in a security product environment. It requires independent thinking, analytical rigor, curiosity, flexibility, and strong technical ability. It also requires leading work end-to-end, breaking down complex problems, conducting structured research, and collaborating effectively across teams.

Key Responsibilities

• Lead Data Science initiatives from problem definition through validation, production deployment, and monitoring
• Develop AI-driven capabilities, including, domain-adapted models, prediction, anomaly detection, classification and AI agents
• Adapt and fine-tune LLM-based solutions
• Break down complex problems into clear components and drive structured research and iterative development
• Choose the right approach for each problem, starting from simple baselines and progressing to more advanced methods when needed
• Design solutions with awareness of production constraints and system limitations
• Help shape solution architecture
• Work closely with product, engineering, and other stakeholders across the company
• Present findings, ideas, and results clearly at different levels, from technical peers to managers
• Support team knowledge sharing, brainstorming, and guidance of other team members
  
  

Requirements:

• M.Sc. in Data Science, Operation research, Statistics, Mathematics, or a related quantitative field
• At least 5 years of hands-on Data Science experience, delivering end-to-end solutions into production environments
• Strong applied AI experience and deep understanding of model behavior in practice
• Strong Python skills and experience with the modern Data Science ecosystem, including NumPy, Pandas, Scikit-learn, and deep learning frameworks
• Good understanding of LLMs and model adaptation methods
• Experience working with SQL, databases, and data systems
• Strong problem-solving skills, analytical rigor, and ability to work independently
• Excellent communication and teamwork skills
• Curiosity, flexibility, and eagerness to continuously learn new techniques and technical skills
  
  

Advantage

• Experience with graph technologies and network-structured data
• Experience designing AI agents or multi-step reasoning systems
• Background in network security, policy management, or compliance-related domains
• Experience with production services, APIs, or integration of Data Science solutions into product environments
• Experience developing solutions for enterprise environments with operational or architectural constraints