Data Science Manager

Company Description

Zscaler (NASDAQ: ZS) accelerates digital transformation so that customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange is the company’s cloud-native platform that protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. 

With more than 10 years of experience developing, operating, and scaling the cloud, Zscaler serves thousands of enterprise customers around the world, including 450 of the Forbes Global 2000 organizations. In addition to protecting customers from damaging threats, such as ransomware and data exfiltration, it helps them slash costs, reduce complexity, and improve the user experience by eliminating stacks of latency-creating gateway appliances. 

Zscaler 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. Zscaler’s purpose-built security platform puts a company’s defenses and controls where the connections occur—the internet—so that every connection is fast and secure, no matter how or where users connect or where their applications and workloads reside.

Job Description

Position-Data Science Manager

Location- Remote within United States

We work in a fast paced, dynamic and make it happen culture. Our people are some of the brightest and passionate in the industry that thrive on being the first to solve problems. We are always looking to hire highly passionate, collaborative and humble people that want to make a difference. If you are passionate about data science, AI/ML modeling, and looking to join a fun and fast-moving team, we’d love to meet you.

About the team: As part of the IT group, we are responsible for executing our enterprise data strategy which emphasizes data management maturity, fosters a robust data culture, and architects a best-in-class enterprise data platform.  We have the ultimate goal to provide trusted data and insights at scale which enable corporate and functional data-driven decision making. We are fueled by organic innovation, internal collaboration and adoption of data visualization, data management, reporting automation, AI/ML and integration tools. We leverage best practices and alignment through our Enterprise Data Community to deliver speed to insight, scale, control and enablement. The team is distributed across the United States and India and is composed of data engineers, data analysts, visualization developers, and infrastructure specialists. 

About the Role: Zscaler is moving from a digital transformation to AI Transformation mindset. As the Data Science Manager you will be leading and developing our Data Science Program and Strategy in collaboration with our VP, Data. You will not only be technically adept but will also be an effective communicator, strategic thinker and aspiring visionary leader. You are expected to understand the Saas business model, seek out industry trends and innovation opportunities, and have a proven track record of applying AI/ML to drive organizational success. You are responsible for building and developing an on-shore/off-shore team of data scientists and analysts as well as providing hands-on execution of our top priority use cases. You will have exposure to both traditional and Generative AI and the opportunity to make an impact across Zscaler.   This role is pivotal to our mission of leveraging data to drive innovation, create efficiencies, and make informed business decisions.

Responsibilities/What You’ll Do:

• Development Data Science Strategy and Supporting Program that aligns with the company's goals and objectives
• Work with large, complex data sets and apply advanced analytical methods as needed.
• Conduct analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations.
• Calculate ROI estimation and provide testing frameworks to validate impact
• Build and manage a high performance, proactive team of data scientists and analysts that are able to not only keep up with but also pioneer in this space.
• Provide technical guidance, mentoring, and coaching as needed
• Foster a project/model development lifecycle including deployment, monitoring and value realization
• Develop comprehensive knowledge of Zscaler data structures and metrics, including product entitlement, utilization, support, pricing, revenue, sales, and marketing activities.
• Create deep partnerships with engineering, product, infrastructure and business partner teams to deliver on major cross-functional measurements, testing, and modeling efforts.
• Partner with cross-functional teams to identify business problems and develop data-driven solutions focused on m