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About the company
Zscaler (NASDAQ: ZS) accelerates digital transformation so that customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange is the companyās cloud-native platform that protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. With more than 10 years of experience developing, operating, and scaling the cloud, Zscaler serves thousands of enterprise customers around the world, including 450 of the Forbes Global 2000 organizations. In addition to protecting customers from damaging threats, such as ransomware and data exfiltration, it helps them slash costs, reduce complexity, and improve the user experience by eliminating stacks of latency-creating gateway appliances. Zscaler was founded in 2007 with a mission to make the cloud a safe place to do business and a more enjoyable experience for enterprise users. Zscalerās purpose-built security platform puts a companyās defenses and controls where the connections occurāthe internetāso that every connection is fast and secure, no matter how or where users connect or where their applications and workloads reside.
Job Summary
Responsibilities:
šAs organizations increasingly embrace AI, our new product is designed to help them do so safely, securely, and responsibly. It provides a trusted platform that supports both user-driven and agentic AIāempowering individuals to harness AI for insights and productivity, while enabling autonomous agents to act within clearly defined ethical and operational boundaries. Built with enterprise-grade security, compliance, and transparency at its core, the product ensures that data privacy and governance are never compromised. šWeāre looking for a Principal Data Scientist reporting into our Senior Director, Software Engineering. This is a green field opportunity to define and build a new class of market defining products. This is a remote position within the United States. In this role, you will: šDesign, build, and implement machine learning models, including SLMs/LLMs, to enhance the intelligence and functionality of Zscalerās internal and external platforms. šConduct research and development in sophisticated AI/ML areas such as generative AI, predictive analytics, and anomaly detection. šAnalyze complex datasets to extract key insights, continuously refining model accuracy and performance. šCollaborate with engineering and product teams to effectively integrate AI/ML technologies into Zscalerās core solutions. šStay current with advancements in ML, AI, and cybersecurity, applying specific knowledge of underlying frameworks and methodologies to ensure technical excellence.
What We're Looking for (Minimum Qualifications):
šPossess an advanced degree (PhD preferred) in Computer Science, Machine Learning, Statistics, or a related field, combined with a strong understanding of ML algorithms, deep learning, neural networks, and their applications. šDemonstrated experience (3-5+ years) in applying diverse data science models and advanced Natural Language Processing (NLP) for large-scale data analysis. šProficiency in Python and SQL, with hands-on experience using key ML frameworks (e.g., TensorFlow, PyTorch). šSkilled in data manipulation, visualization, and analysis techniques and tools. šProven ability to independently solve complex problems and collaborate effectively within a team environment.
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