wiz.io - Data Scientist Expert
Requirements
• 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 • Advantage: Knowledge of cybersecurity principles, attack vectors, and defense mechanisms • Advantage • Applicants must have the legal right to work in the country where the position is based, without the need for visa sponsorship. This role does not offer visa sponsorship.
Responsibilities
• 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
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