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.
Data Science
Responsibilities:
As a 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 Skills :
- 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)
- 9+ years of industry experience in one or more machine/deep learning frameworks
- 9+ 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:
- 9+ years professional experience
- 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
#LI - YK1
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.
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