Marketing Data Scientist Intern

Zscaler•San Jose, CA

1d•$35 - $50•Hybrid

About The Position

Zscaler accelerates digital transformation so our customers can be more agile, efficient, resilient, and secure. Our cloud native Zero Trust Exchange platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Here, impact in your role matters more than title and trust is built on results. We believe in transparency and value constructive, honest debate—we’re focused on getting to the best ideas, faster. We build high-performing teams that can make an impact quickly and with high quality. To do this, we are building a culture of execution centered on customer obsession, collaboration, ownership and accountability. We value high-impact, high-accountability with a sense of urgency where you’re enabled to do your best work and embrace your potential. If you’re driven by purpose, thrive on solving complex challenges and want to make a positive difference on a global scale, we invite you to bring your talents to Zscaler and help shape the future of cybersecurity. We are looking for a Marketing Data Scientist Intern to join our team in a hybrid capacity in San Jose, CA, reporting to the Director, Marketing Science and AI/ML within Global Marketing. Hiring a Marketing Data Science Intern allows us to transform underutilized datasets into actionable growth strategies, such as predictive lead scoring and automated performance dashboards. This role offers a high-ROI opportunity to optimize our advertising spend and improve customer retention through advanced analytics at a minimal cost. Ultimately, it bridges the gap between raw marketing metrics and high-level strategic decisions, ensuring our department remains competitive in an increasingly data-driven market.

Requirements

Actively pursuing a Bachelor’s or Master’s degree in a quantitative field such as Data Science, Statistics, Computer Science, Economics, or Business Analytics
Demonstrated analytical thinking and problem-solving skills with the ability to communicate technical findings to non-technical stakeholders
Proven status as a motivated self-starter with a clear passion for innovation and technology

Nice To Haves

Prior experience in a marketing internship with a technical lens
Proficiency in technical tools such as SQL or Python for data manipulation and analysis

Responsibilities

Develop predictive lead scoring models to rank prospects based on their likelihood to convert, allowing the sales team to prioritize high-value targets and increase overall win rates
Analyze behavioral and demographic data to identify distinct customer clusters, enabling highly personalized marketing campaigns that drive higher engagement and $CLV$
Quantify the impact of various marketing channels on revenue through Marketing Mix Modeling (MMM) to optimize budget allocation and reduce wasted ad spend
Design and analyze rigorous A/B tests for email subjects, landing pages, or ad copy to ensure creative decisions are backed by statistical significance
Build and maintain automated data pipelines that transform raw API data into real-time visualizations and automated insights dashboards