Data Science Lead, Sales Analytics
Bangalore, IND
Zscaler
Zscaler, the leader in cybersecurity and zero trust, delivers AI-powered solutions for secure access, threat protection, and modern business transformation. Learn more.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, which is found in our SASE and SSE offerings, 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.
The Zscaler Sales and Go-to-Market team is a global group of professionals who are passionate about delighting our customers, nurturing trusted partnerships, and sharing their expertise to drive a secure, cloud-enabled digital future and further cement our position as the world leader in cloud security. Sales, Customer Success, Sales Enablement, Solution Architects, Business Development, Transformation, and Technology Partnerships all work together to demonstrate the power and agility of Zscaler cloud transformation to the world.
We're looking for an experienced Data Science Lead, Sales Analytics to join our Sales BI & Analytics team responsible for reporting & business analytics for Sales and Sales related functions. Reporting to Senior Sales Operations Manager, you'll be responsible for:
- Collaborating with internal stakeholders to understand business challenges and design analytical solutions that drive performance improvements
- Leading Generative AI initiatives by designing, prototyping, and deploying solutions using LLMs like GPT to address business problems
- Applying Prompt Engineering techniques to craft and refine prompts that optimize the output and insights from LLM-based tools
- Developing and enhancing AI agents such as chatbots to support decision-making and improve efficiency across sales and operational functions
- Selecting and applying appropriate modeling techniques, clearly presenting complex data and insights in a simple, actionable manner
What We're Looking for (Minimum Qualifications)
- 3–6 years of hands-on experience in advanced statistical analysis and building complex models using Python, R, and ML libraries like PyTorch, TensorFlow, and Scikit-learn
- Proven experience with large language models (OpenAI, Anthropic, etc.) and frameworks to build, deploy, and manage AI agents for tasks like chatbots and workflow automation
- Skilled in SQL and ETL tools (e.g., DBT) to build data models and support robust data pipelines
- Strong collaboration and communication skills, with the ability to drive analytics solutions across multi-disciplinary teams
- Self-motivated and adaptable, with a passion for innovation, continuous learning, and managing multiple projects in dynamic environments
What Will Make You Stand Out (Preferred Qualifications)
- Drive to learn, iterate and innovate and passionate about applying data analytics to solve business problems
- Excellent communication skills, interpersonal skills and strong team player
- Ability to manage multiple concurrent projects and thrive in a fast-paced, constantly changing environment
#LI-Hybrid
#LI-VV3
At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure.
Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including:
- Various health plans
- Time off plans for vacation and sick time
- Parental leave options
- Retirement options
- Education reimbursement
- In-office perks, and more!
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 committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered 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 characteristic 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.
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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Anthropic Business Analytics Chatbots Data Analytics Data pipelines dbt Engineering ETL Generative AI GPT LLMs Machine Learning OpenAI Pipelines Privacy Prompt engineering Prototyping Python PyTorch R Scikit-learn Security SQL Statistics TensorFlow
Perks/benefits: Career development Health care Medical leave Parental leave Transparency
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