Data Scientist Expert

Come join the organization that is redefining security for the AI era. As one of the fastest-growing startups ever, we enable teams to secure cloud and AI applications by connecting code, cloud, and runtime into a single shared context. Trusted by security teams all over the world, we have a proven track record of success and a culture that values world-class talent. Not to mention, we're now powered by Google, meaning we offer our customers an AI-powered platform that harnesses Google’s Threat Intelligence and Security Operations to better detect, prevent, and respond to threats across all environments, allowing for further innovation. Our Wizards from all over the globe work together to protect the infrastructure of our customers, including over 50% of the Fortune 100, who trust us to scan and secure over 230 billion files daily. We’re honored to be a leading player in a massive and growing market, and we continue to look for exceptional Wizards who are eager to make a significant impact on our team. At Wiz, you’ll have the freedom to think creatively, dream big, and use your full range of skills to contribute to our momentous growth. Come join our team and help us create secure cloud environments that allow even the best companies to move faster, all while having some fun! SUMMARY We’re looking for a Data scientist Expert to join us and spread the power of Wiz. As a Data Scientist you will be responsible for driving research and development of autonomous AI agents and LLM-powered systems at Wiz. You will work closely with cross-functional teams to explore, innovate, and implement AI-driven solutions to tackle emerging threats, examine cloud security features, and enhance the company’s security posture. WHAT YOU’LL DO - Lead applied research on AI agents and LLM-driven features in the Wiz platform - from autonomous threat investigation agents to AI-powered security operations workflows - Cover a range of features - from leveraging LLMs to enhance customer investigation experience to novel usage of AI for cloud security - Collaborate with engineering teams to design, build, and maintain production pipelines - Work closely with the Security Research and Product teams to define research goals - Conduct experiments and evaluate the performance of AI models, algorithms, and techniques using real-world datasets and simulated environments - Stay abreast of cutting-edge AI methodologies, frameworks, and tools and apply them to improve security solutions' accuracy, efficiency, and scalability WHAT YOU’LL BRING - An M.S. or Ph.D. degree in computer science, statistics, or related field OR equivalent work experience - 5+ years of experience in leading data science and machine learning projects, with significant hands-on work building LLM-based applications or AI agents - Deep practical experience with LLMs - prompt engineering, fine-tuning, model selection, and understanding trade-offs across providers and model families - Experience with distributed cloud systems - hands-on familiarity with cloud-native architectures at scale - Strong knowledge of deep learning models and common model architecture such as transformer models - Knowledge of programming languages that are used in AI research, such as Python, and experience with AI frameworks (e.g., Hugging Face, LangChain, OpenAI, scikit-learn, TensorFlow, PyTorch) - 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 skills - Advantage: Knowledge of cybersecurity principles, attack vectors, and defense mechanisms 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. Wiz is an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. By submitting your application, you acknowledge that Wiz will process your personal data in accordance with Wiz's Privacy Policy.

An M.S. or Ph.D. degree in computer science, statistics, or related field OR equivalent work experience; 5+ years of experience in leading data science and machine learning projects, with significant hands-on work building LLM-based applications or AI agents; Deep practical experience with LLMs - prompt engineering, fine-tuning, model selection, and understanding trade-offs across providers and model families; Experience with distributed cloud systems - hands-on familiarity with cloud-native architectures at scale; Strong knowledge of deep learning models and common model architecture such as transformer models; Knowledge of programming languages that are used in AI research, such as Python, and experience with AI frameworks (e.g., Hugging Face, LangChain, OpenAI, scikit-learn, TensorFlow, PyTorch); Ability to work independently in a fast-paced environment and come up with creative solutions to challenging problems; Excellent communication (both written and verbal) and presentation skills; Advantage: Knowledge of cybersecurity principles, attack vectors, and defense mechanisms.

Lead applied research on AI agents and LLM-driven features in the Wiz platform - from autonomous threat investigation agents to AI-powered security operations workflows; Cover a range of features - from leveraging LLMs to enhance customer investigation experience to novel usage of AI for cloud security; Collaborate with engineering teams to design, build, and maintain production pipelines; Work closely with the Security Research and Product teams to define research goals; Conduct experiments and evaluate the performance of AI models, algorithms, and techniques using real-world datasets and simulated environments; Stay abreast of cutting-edge AI methodologies, frameworks, and tools and apply them to improve security solutions' accuracy, efficiency, and scalability.