Data Scientist Expert

Wiz
Tel AvivPosted 27 February 2026

Job Description

<div class="content-intro"><p class="x_MsoNormal FluidPluginCopy"><span class="ContentPasted0">Come join the company that is reinventing cloud security and empowering businesses to thrive in the cloud. As the <a href="https://www.wiz.io/blog/100m-arr-in-18-months-wiz-becomes-the-fastest-growing-software-company-ever" target="_blank">fastest-growing startup ever,</a> </span><span class="ContentPasted0">Wiz is on a mission to help organizations secure cloud environments that will accelerate their businesses. Trusted by security teams all over the world, we have a proven<span class="ContentPasted0"> </span><a class="ContentPasted0" href="https://www.g2.com/products/wiz-wiz/reviews" target="_blank" data-auth="NotApplicable" data-safelink="true" data-linkindex="1">track record of success</a><span class="ContentPasted0"> </span>and a culture that values world-class talent. </span></p> <p class="x_MsoNormal FluidPluginCopy"><span class="ContentPasted0">Our Wizards from over 20 countries work together to protect the infrastructure of our hundreds of customers, including over 50% of the Fortune 100, who trust us to scan and secure over 230 billion files daily. We’re the leading player in a massive and growing market, but it’s still early enough for you to 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. Come join our team and help us create secure cloud environments that allow the best companies to move faster. </span></p></div><p><strong>SUMMARY</strong></p> <p>We’re looking for a<strong> Data Scientist Expert</strong> to join us and spread 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 the algorithmic engines that discover and protect the world's most sensitive information in the cloud, driving RD initiatives to implement AI-driven solutions that tackle emerging threats and enhance our customers' security posture.</p> <p><strong>WHAT YOU’LL DO</strong></p> <ul> <li>Lead applied research for AI-driven features in Wiz’s DSPM and Secret Detection domains</li> <li>Conduct deep research and classification of sensitive data (PII, secrets) across complex structured and unstructured formats</li> <li>Own the research lifecycle from raw data exploration and failure analysis to production-grade implementation</li> <li>Identify and assess data security risks and use cases within cloud environments</li> <li>Leverage LLMs to automate complex security research and enhance data classification at scale</li> <li>Partner with Engineering, Security Research, and Product teams to define research goals and maintain production pipelines</li> <li>Evaluate and optimize AI models and algorithms using real-world datasets to ensure high accuracy and scalability</li> </ul> <p><strong>WHAT YOU’LL BRING</strong></p> <ul> <li>B.Sc. in Computer Science, Statistics, Mathematics, or a related field or equivalent high-level practical experience</li> <li>5+ years of experience in leading and managing data science and machine learning projects, preferably in the intersection of AI and cybersecurity</li> <li>Deep expertise in NLP and Classification - specifically in exploring and deriving signals from high-volume, unstructured datasets</li> <li>Hands-on experience building complex agentic workflows using LLM frameworks such as LangChain or LangGraph</li> <li>Exceptional "Failure Analysis" mindset, the ability to dive into data to understand why a model failed and how to fix it</li> <li>Familiarity with distributed cloud systems and experience building production-grade ML solutions</li> <li>Ability to work independently in a fast-paced, and come up with creative solutions to challenging problems</li> <li>Excellent communication (both written and verbal) and presentation skill</li> <li><strong>Advantage</strong>: Knowledge of cybersecurity principles, attack vectors, ... (truncated, view full listing at source)
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