Data Scientist

Key Responsibilities:

• Design, develop, and implement data models, algorithms, and visualization tools to analyze large and complex datasets.
• Identify patterns, trends, and anomalies in data to improve our threat detection and response capabilities.
• Lead full-cycle data projects independently—research, prototyping, production development, visualization, and reporting.

Qualifications:

• B.Sc. in CS, Statistics, Math, Physics, EE, or related field.
• Proven hands-on experience in data-oriented projects (research and practical development).
• Strong ability to work independently—from researching and prototyping completely on your own, to implementing production-level projects with minimal guidance in a fast-paced environment.
• Strong programming skills in Python or similar languages.
• Deep statistical and ML knowledge (especially time series, unsupervised learning, data representations).
• Practical problem-solving skills—you know how to figure things out, or quickly learn what you don’t already know.
• Algorithmic thinking—optimizing for speed, memory, databases, and system efficiency.

Advantages:

• M.Sc. involving computational research projects
• Experience with LLM or AI Agents
• Familiarity with cloud and Kubernetes architectures, and especially their security aspects
• Cybersecurity knowledge, particularly from a quantitative angle
• Experience with MongoDB or other NoSQL databases