Data Scientist

Description

Vega is one of the fastest-growing startups in cybersecurity, redefining security analytics and operations with an AI-native platform for the SOC. We are building the next-generation operating system for security teams. Vega is already delivering real impact at some of the world’s largest organizations - improving detection, unlocking the value of their security data, and reducing cost and complexity. With HQs in New York and TLV, we're looking for people who want to be a part of the next rocket-ship in cyber.

We're looking for a Data Scientist to join our team. As a Data Scientist at Vega, you’ll be a key member of our AI team, designing, building, and deploying cutting-edge AI systems that leverage large language models (LLMs), unstructured data, and advanced ML techniques. You’ll be instrumental in bringing AI from research to real-world production, delivering high-impact features that drive our security platform.

In this role, you'll have a unique opportunity to solve complex problems, work with large scale data and be part of the core team that shapes the future of AI in the company.

• Design and develop end-to-end AI solutions, from data ingestion and modeling to deployment and observability.
• Build and fine-tune LLM-based applications to tackle complex cybersecurity challenges.
• Own the full ML lifecycle — from ideation and experimentation to production readiness.
• Collaborate with product, engineering, and security teams to turn AI research into user-facing features.
• Work with large-scale unstructured data (e.g., logs, threat intel, alerts) to extract meaningful insights.
• Evaluate and optimize AI system performance, scalability, and reliability.
• Contribute to core architectural decisions related to AI and ML infrastructure.

• 4+ years of professional experience in ML/AI engineering.
• Hands-on experience working with LLMs and building AI agents in production environments.
• Strong understanding of text classification, ranking, and evaluation in NLP systems.
• Proficiency in Python and modern ML frameworks.
• Deep knowledge of deploying and maintaining AI systems at scale.
• Experience with cloud platforms, particularly AWS.
• Experience working independently in fast-paced, mission-driven environments
• Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field
• Experience fine-tuning LLMs for domain-specific or task-specific use cases.
• Background in cybersecurity applications (e.g., threat detection, incident response, log analysis).
• Familiarity with agent-based architectures and autonomous systems.