Data Scientist

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 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. 

For over 10 years, Zscaler has been disrupting and transforming the security industry. 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 multitenant 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're looking for an experienced Data Scientist/Machine Learning Engineer to join our AI/ML Cloud Team. Reporting to the Senior Manager, you'll be responsible for:

• Designing and creating machine learning models to provide faster and more engaging ways to address cloud security, cloud operations, and cloud intelligence use cases
• You will be involved in Machine Learning product development, from feature engineering to model building and evaluation

What We're Looking for (Minimum Qualifications)

• 2+ years of experience as a Machine Learning Engineer or Data Scientist
• Experience with Python (pandas, sklearn, pytorch) and SQL
• Experience with feature engineering, model evaluation and model error analysis
• Experience with Large Language Models (LLMs)
• Passion for leveraging ML/AI to solve real-world business problems (better security and better business results)
• Prompt engineering and fine-tuning Large Language Models (LLMs)
• Graph Neural Networks/Knowledge Graphs
• Experience with unsupervised learning (clustering) and evaluating unsupervised models.
• Experience with logs analysis/logs mining

What Will Make You Stand Out (Preferred Qualifications)

• Experience with multiple public cloud services (such as AWS, Google, Azure) and ML automation platforms (such as Kubeflow).
• Experience with multiple program languages such as PySpark
• Good understanding of operating systems and distributed systems.
• Familiarity with networking and networking security.

#LI-YK1

At Zscaler, we believe that diversity drives innovation, productivity, and success. We are looking for individuals from all backgrounds and identities to join our team and contribute to our mission to make doing business seamless and secure. We are guided by these principles as we create a representative and impactful team, and a culture where everyone belongs. For more information on our commitments to Diversity, Equity, Inclusion, and Belonging, visit the Corporate Responsibility page of our website.

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:

• Various health plans
• A flexible time off policy
• Hybrid Working Model "#LI-Hybrid"
• Parental leave options
• Retirement options
• Education reimbursement
• In-office perks, and more!

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 proud to be an equal opportunity and affirmative action employer. We celebrate diversity and are committed to creating an inclusive environment for all of our employees. All qualified applicants will receive consideration 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 characteristics 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. For additional information about the federal requirements, click here.

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.