Staff Data Scientist at Zscaler

Short Description:

Zscaler in Bangalore is hiring a Staff Data Scientist with a focus on full-stack Machine Learning product development for cloud security, operations, and intelligence. The role involves diverse tasks such as threat detection, anomaly detection, and AIOps. Requirements include a degree in ML, Computer Science, or Electrical Engineering, a minimum of 9 years of industry experience with machine/deep learning frameworks and Python/SQL, strong interpersonal and communication skills, and proficiency in leading projects. Desired skills include expertise in public cloud services, ML automation platforms, multiple programming languages, and knowledge of operating systems, distributed systems, and networking.  

 

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Job Title: Staff Data Scientist - REF7810D 

Location: Bangalore, India 

Company: Zscaler

About Zscaler:

Zscaler (NASDAQ: ZS) is dedicated to advancing digital transformation, empowering customers to enhance their agility, efficiency, resilience, and security. Zscaler's Zero Trust Exchange, a cloud-native platform, safeguards thousands of clients against cyber threats and data breaches by establishing secure connections among users, devices, and applications, regardless of their location.

With over a decade of experience in cloud development and operation at scale, Zscaler serves a global clientele, including 450 of the world's top Forbes Global 2000 organizations. Beyond shielding customers from destructive threats like ransomware and data breaches, Zscaler streamlines costs, simplifies complexities, and elevates user experiences by eliminating latency-inducing gateway appliances.

Established in 2007, Zscaler's mission is to make the cloud a secure place for business operations and a more enjoyable experience for corporate users. Zscaler's security platform, purpose-built for the internet, positions a company's defenses and controls where connections are made, ensuring swift and secure connectivity, irrespective of user locations, applications, or workloads.

Position Overview:

We are seeking a Data Scientist to join our award-winning team focused on full-lifecycle full-stack Machine Learning product development. This role encompasses everything from feature engineering to model creation and assessment. Our team tackles diverse use cases, including threat detection, malware detection, content classification, anomaly detection, and AIOps (advanced networking diagnosis). This diversity offers you the chance to explore various machine learning algorithms and tools. In this role, you will design and construct machine learning models to enhance cloud security, cloud operations, and cloud intelligence use cases.

While you may not be an expert in every aspect of a Machine Learning project, a keen interest and curiosity spanning from data to the model's business impact are essential.

Key Qualifications:

• A degree in Machine Learning, Computer Science, or Electrical Engineering from a reputable institution (Ph.D. preferred but not mandatory).
• A strong passion for leveraging ML/AI to address real-world business challenges, focusing on enhanced security and better business outcomes.
• Over 9 years of industry experience working with one or more machine/deep learning frameworks.
• Over 9 years of industry experience with Python and SQL.
• Exceptional interpersonal, technical, and communication skills.
• Strong business acumen.
• The ability to quickly learn, evaluate, and adopt new technologies.
• Proficiency in leading and executing projects from inception to completion.
• A solid foundation in computer science.

Desirable Skill Sets:

• Over 9 years of professional experience.
• Familiarity with various public cloud services (e.g., AWS, Google, Azure) and ML automation platforms (e.g., Kubeflow).
• Experience with multiple programming languages, including Go.
• Sound knowledge of operating systems and distributed systems.
• Understanding of networking and networking security.

   Please click here to apply.