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
This position is open to all candidates.