Data scientist Expert

• Lead applied research for AI-driven features in Wiz’s DSPM and Secret Detection domains
• Conduct deep research and classification of sensitive data (PII, secrets) across complex structured and unstructured formats
• Own the research lifecycle from raw data exploration and failure analysis to production-grade implementation
• Identify and assess data security risks and use cases within cloud environments
• Leverage LLMs to automate complex security research and enhance data classification at scale
• Partner with Engineering, Security Research, and Product teams to define research goals and maintain production pipelines
• Evaluate and optimize AI models and algorithms using real-world datasets to ensure high accuracy and scalability

• B.Sc. in Computer Science, Statistics, Mathematics, or a related field or equivalent high-level practical experience
• 5+ years of experience in leading and managing data science and machine learning projects, preferably in the intersection of AI and cybersecurity
• Deep expertise in NLP and Classification - specifically in exploring and deriving signals from high-volume, unstructured datasets
• Hands-on experience building complex agentic workflows using LLM frameworks such as LangChain or LangGraph
• Exceptional "Failure Analysis" mindset, the ability to dive into data to understand why a model failed and how to fix it
• Familiarity with distributed cloud systems and experience building production-grade ML solutions
• Ability to work independently in a fast-paced, and come up with creative solutions to challenging problems
• Excellent communication (both written and verbal) and presentation skill
• Applicants must have the legal right to work in the country where the position is based, without the need for visa sponsorship

Advantage: Knowledge of cybersecurity principles, attack vectors, and defense mechanisms