Position: Staff Data Scientist
Location: San Jose, CA
Zscaler is the world's largest inline security cloud company. It is also one of the fastest-growing SaaS companies on the planet and a once-in-a-generation software company. Zscaler secures more than 150 billion transactions per day, protecting thousands of customers (including 25% of Global 2000) from cyberattacks and data loss. The sheer volume of data Zscaler processes is astronomical to comprehend: Zscaler ZIA transactions per day are 150 billion while Google searches per day are “only” 5.7 billion.

We work in a fast-paced, dynamic, and make it happen culture. Our people are some of the brightest and passionate in the industry. They thrive on being the first and best to solve problems. Just within a year, the ML team members have filed more than ten (10) patents. We are always looking to hire highly passionate, collaborative, and humble people that want to make a difference.

Responsibilities:

As a Staff Data Scientist, you will work in an award-winning team that does full-lifecycle full-stack Machine Learning product development, from feature engineering to model building and evaluation. 

Our team’s use cases include but are not limited to threat detection, malware detection, content classification, anomaly detection, and AIOps (advanced networking diagnosis). These various use cases give you the opportunity and challenges to experience multiple machine learning algorithms and tools. You will design and create machine learning models to provide faster and more effective ways to address cloud security, cloud operations, and cloud intelligence use cases.
You might not be an expert in every stage of a Machine Learning project, but you should have interests and curiosity in various parts ranging from the data to the model’s business impact. 

Required Skill Sets:

• A degree in Machine Learning, Computer Science, or Electrical Engineering from a reputable school (Ph.D. degree preferred but not required)
• Passion for leveraging ML/AI to solve real-world business problems (better security and better business results).
• 5+ years of industry experience in one or more machine/deep learning frameworks.
• 5+ years of industry experience with Python and SQL
• Excellent interpersonal, technical, and communication skills.
• Good business sense.
• Ability to learn, evaluate, and adopt new technologies fast
• Ability to lead and execute projects from start to finish.
• Solid computer science foundation

Desirable Skill Sets:

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

Why Zscaler?

People who excel at Zscaler are smart, motivated and share our values. Ask yourself: Do you want to team with the best talent in the industry? Do you want to work on disruptive technology? Do you thrive in a fluid work environment? Do you appreciate a company culture that enables individual and group success and celebrates achievement? If you said yes, we’d love to talk to you about joining our award-winning team.

Learn more at zscaler.com or follow us on Twitter @zscaler. Additional information about Zscaler (NASDAQ : ZS ) is available at http://www.zscaler.com. All qualified applicants will receive consideration for employment without regard to race, sex, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability.
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