Data Scientist Expert

About Wiz

Join Wiz, the company reinventing cloud security and empowering businesses. As the fastest-growing startup ever, Wiz is on a mission to secure cloud environments and accelerate businesses. Trusted by security teams worldwide, we boast a proven track record of success and a culture that values world-class talent.

Our Wizards from over 20 countries protect the infrastructure for hundreds of customers, including over 50% of the Fortune 100. We scan and secure over 230 billion files daily. As a leading player in a massive and growing market, you'll make a significant impact. At Wiz, you'll have the freedom to think creatively, dream big, and use your full range of skills to contribute to our record growth. Help us create secure cloud environments, enabling companies to move faster.

The Role: Data Scientist Expert

We're seeking a Data Scientist Expert to join us and amplify the power of Wiz. In this role, you will lead the next generation of Data Security Posture Management (DSPM) and Secret Detection. You will build algorithmic engines to discover and protect the world's most sensitive information in the cloud, driving R&D initiatives to implement AI-driven solutions for emerging threats and enhanced customer security.

What You’ll Do

• 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 for high accuracy and scalability.

What You’ll Bring

• B.Sc. in Computer Science, Statistics, Mathematics, or a related field, or equivalent high-level practical experience.
• 5+ years of experience leading and managing data science and machine learning projects, preferably at the intersection of AI and cybersecurity.
• Deep expertise in NLP and Classification, specifically exploring and deriving signals from high-volume, unstructured datasets.
• Hands-on experience building complex agentic workflows using LLM frameworks like LangChain or LangGraph.
• Exceptional "Failure Analysis" mindset: ability to dive into data to understand model failures and devise fixes.
• Familiarity with distributed cloud systems and experience building production-grade ML solutions.
• Ability to work independently in a fast-paced environment and develop creative solutions to challenging problems.
• Excellent communication (written and verbal) and presentation skills.
• Advantage: Knowledge of cybersecurity principles, attack vectors, and defense mechanisms.

Key skills/competency

• Data Science
• Machine Learning
• Cloud Security
• NLP
• Classification
• LLM Frameworks (LangChain, LangGraph)
• Data Security Posture Management (DSPM)
• Secret Detection
• AI/ML Research
• Failure Analysis