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 65% 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!
- 5+ years of experience in applied Data Science and AI engineering 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).
- Hands-on experience building Autonomous Agent architectures (e.g., LangGraph, multi-agent workflows, tool-calling, and state machines) and implementing rigorous evaluation frameworks (Evals, LLM-as-a-judge, benchmark suites).
- 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) with the ability to deliver production-ready code.
- An M.S. or Ph.D. degree in computer science, statistics, or related field OR equivalent work experience.
- Experience in cybersecurity (cloud security, threat detection, investigation, or network telemetry).
- Experience with distributed cloud systems and hands-on familiarity with cloud-native architectures at scale.
- Strong knowledge of deep learning models and common model architecture such as transformer models.
- Excellent communication (both written and verbal) and presentation skills.
- Ability to work independently in a fast-paced environment and come up with creative solutions to challenging problems.
We’re looking for an Applied 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.
Responsibilities- 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.
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.
Skills Required
- Bachelor's or Master's degree in data science or equivalent experience
- 3+ years of hands-on experience in research and analysis of large datasets
- Proficiency in Python and experience with data science libraries
- Strong understanding of database management systems with expertise in SQL
- Experience using data warehousing solutions such as Snowflake and BigQuery
Wiz Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Wiz and has not been reviewed or approved by Wiz.
-
Fair & Transparent Compensation — Pay bands for remote roles are described as mid–six figures, with additional compensation such as bonuses, commissions, and profit sharing also referenced. Compensation for senior and revenue-linked roles is portrayed as substantial relative to typical tech benchmarks.
-
Healthcare Strength — Health coverage is described as robust, spanning medical, dental, vision, life, disability, mental health benefits, and access to flexible spending accounts. The breadth of coverage indicates a comprehensive baseline benefits offering.
-
Leave & Time Off Breadth — Time-off policies are framed as flexible, including an unlimited/flexible PTO approach alongside paid holidays and sick time. Flexibility is reinforced by remote programs and a home-office stipend as part of the broader rewards package.
Wiz Insights
What We Do
Every day there’s another cyber-attack on the news. Hackers stole twenty million credit card numbers from a retailer, or they shut down an oil pipeline, or crippled a hospital. These attacks are more than just disruptive; they’re big business for organized crime and rogue states. Wiz is here to prevent them from happening where companies and governments build applications today -- in the cloud. From Barclays to Home Depot, Wiz helps the biggest organizations in the world protect their Amazon, Microsoft, and Google cloud environments. We have only been selling the product for six months, and so far, 10% of the Fortune 500 already use Wiz. But this is just the beginning. Come join the fastest growing enterprise software company in history in one of the fastest growing industries -- the cloud -- and help us make cloud a safe place where creativity and innovative ideas can flourish.
Gallery
