Staff Data Science Engineer

About Zscaler

Serving thousands of enterprise customers around the world including 40% of Fortune 500 companies, Zscaler (NASDAQ: ZS) 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. As the operator of the world’s largest security cloud, Zscaler accelerates digital transformation so enterprises can be more agile, efficient, resilient, and secure. The pioneering, AI-powered Zscaler Zero Trust Exchange™ platform, which is found in our SASE and SSE offerings, protects thousands of enterprise customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location.

Named a Best Workplace in Technology by Fortune and others, Zscaler fosters an inclusive and supportive culture that is home to some of the brightest minds in the industry. If you thrive in an environment that is fast-paced and collaborative, and you are passionate about building and innovating for the greater good, come make your next move with Zscaler. 

Our Engineering team built the world’s largest cloud security platform from the ground up, and we keep building. With more than 100 patents and big plans for enhancing services and increasing our global footprint, the team has made us and our multi-tenant architecture today's cloud security leader, with more than 15 million users in 185 countries. Bring your vision and passion to our team of cloud architects, software engineers, security experts, and more who are enabling organizations worldwide to harness speed and agility with a cloud-first strategy.

We are hiring a Staff Data Science Engineer to join our Cyber Security and Data Protection Team. You will build quality products that secure mobile devices, applications, and data. You will develop innovative solutions that are transforming the internet security business, and that millions of users rely on for data protection and comprehensive security. In this role you will work on web filtering, policy enforcement, next-gen firewall, sandboxing, DLP, Saas API, CASB, Sandbox and Endpoint Protection user solutions. This role is onsite in San Jose, CA at least three times a week. Reporting to the Sr. Director, Software Engineering - Data Protection, you will: 

• Design and develop software for scalable distributed systems to provide network security
• Participate in all phases of the product development cycle, from requirements, design, through implementation and test
• Develop software for machine learning based content categorization systems; develop data security and data leak prevention software solutions
• Work on the development of high-performance, fault tolerant and scalable systems; use algorithms and data structures to develop optimal solutions

What We're Looking for (Minimum Qualifications)

• 5+ years of hands on experience programming in C/C++ and python 
• Knowledge of data structures, run time complexities, IPC, FreeBSD/Linux and RPC
• 5+ years of experience building and scaling Machine Learning (ML) models
• Experience with machine learning or deep learning related toolset/frameworks, such as Pandas, Numpy, Scikit-learn, TensorFlow, PyTorch, and ONNX

What Will Make You Stand Out (Preferred Qualifications)

• Familiarity with networking and networking security
• Hands-on experience with popular public cloud services infrastructure offerings such as AWS, GCP, Azure and experience with Docker, Kubernetes, and event messaging such as Kafka, RabbitMQ, etc

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At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure.

Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including:

By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines.

Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws.

See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link.

Pay Transparency

Zscaler complies with all applicable federal, state, and local pay transparency rules.

Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.