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 companys 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 maximizing the business-value delivery Own model accuracy, efficacy and continuous improvements Qualifications ​​​​​​Qualifications/Your Background: Master’s or PhD in Data Science, Computer Science, Statistics, or a related field a plus 5+ years of experience in data science with at least 2 years in a leadership or managerial role. Proficiency in data science tools and languages such as Python, R, SQL, and various machine learning frameworks. Strong communication skills with the ability to convey complex data concepts to non-technical stakeholders. Proven track record of building and leading data science teams. Previous experience in the Saas industry a plus Expertise in scoping work requested by diverse sets of stakeholders and ability to map it to the business value delivery and strategic goals Strong capacity to manage multiple projects simultaneously Track record of applied data science models (Regression, Decision Trees, K-Means, etc.). Demonstrated leadership and self-direction. Willingness to both teach others and learn new techniques. Demonstrated skills in selecting the right statistical tools given a data analysis problem. Additional Information The base salary range for this full-time position is $170,000 to $190,000 + Bonus+ Equity+ Benefits. Zscaler’s salary ranges are benchmarked and are determined by role and level. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations and could be higher or lower based on a multitude of factors, including job-related skills, experience, location and relevant education or training. All your information will be kept confidential according to EEO guidelines. #LI-YC2 #LI-Remote 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 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. Additional information about Zscaler (NASDAQ: ZS ) is available at https://www.zscaler.com. 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. 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. If you need support, please contact us by sending an email to [email protected]. This email address is used specifically for accommodation requests only, and resumes, CVs, or questions other than accommodations will not be replied to or accepted.