Position: Staff Data Scientist, Cloud Security

Location: San Jose, CA

For over 10 years, Zscaler has been disrupting and transforming the security industry. Our 100% purpose built cloud platform delivers the entire gateway security stack as a service through 150 global data centers to securely connect users to their applications, regardless of device, location, or network in over 185 countries protecting over 3,500 companies and 100 Million threats detected a day.

With a solution born and built 100% in the cloud, Zscaler employees have built and operate a massive, global cloud security architecture, delivering the entire gateway security stack as a service. By providing fast, secure connections between users and applications, regardless of device, location, or network.

The Staff Data Scientist reports to the VP of Machine Learning and AI.

Zscaler announced in August 2018 that it is doubling down the effort in Machine Learning and AI investment to better identify anomalous traffic, build user behavioral profiles, compute enterprise risk posture, and detect sophisticated targeted attacks as they emerge.

As Staff Data Scientist, you will work with a small team that does full-cycle multi-stage Machine Learning product development, from data collection pipeline, to feature extraction, to AI model building for various cyber security. You might not be expert in every and all stages of data engineering and data science, but you should have interests in being exposed in all stages.

Responsibilities:

You will design and create machine learning models to provide faster and more efficient way to address use cases including but not limited to malware and malicious file detection, content classification, anomaly detection, to risk profiling.

Qualifications:

• Advanced degree in Machine Learning, Computer Science, Electrical Engineering, Physics, Statistics, Applied Math or other quantitative fields from a reputed university, preferably a Ph.D.
• 5+ years of industry experiences in building machine learning models to solve security problems.
• Strong coding skills in Python, R, or Go.
• Familiarity with networking, preferably networking security.
• Passion in leveraging ML/AI to solve real-world business problems.
• Hands-on experience in two or more machine/deep learning frameworks.
• Excellent interpersonal, technical and communication skills.
• Ability to learn, evaluate and adopt new technologies.
• Demonstrated ability to lead and execute projects from start to finish.
• Excellent knowledge of machine learning/data science approaches.
• Knowledge of NLP/Text mining techniques and related open source tools is a plus.
• Experience working with data collection and processing infrastructure is a plus.
• Experience with data serialization techniques and data stores for persisting events is a plus.
• Experience with google cloud (or other public cloud) is a plus.

What You Can Expect From Us:

• An environment where you will be working on cutting edge technologies and architectures
• A fun, passionate and collaborative workplace
• Competitive salary and benefits, including equity
• The pace and excitement of working for a Silicon Valley Unicorn

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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