The Senior Data Scientist will lead Data Science initiatives by developing AI capabilities, breaking down complex problems, and collaborating across teams to produce impactful, production-grade work.
Senior Data Scientist
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
- 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
Top Skills
Deep Learning Frameworks
Numpy
Pandas
Python
Scikit-Learn
SQL
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