Marketing Data Scientist Intern

About Zscaler

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 debatewere 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 youre enabled to do your best work and embrace your potential. If youre 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.

The Role

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.

What youll do (Role Expectations)

• 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

Who You Are (Success Profile)

• You are a problem-solver. You seek out challenges because you are energized by finding solutions knowing that solving the hard problems delivers the biggest impact.
• You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. You adapt to whats needed navigating seamlessly between high-level strategy and hands-on execution.
• You are a high-trust collaborator. You are ambitious for the team not just yourself. You embrace our challenge culture by giving and receiving ongoing feedbackknowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.
• You are a learner. You have a true growth mindset and never stop developing yourself actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.
• You thrive in ambiguity. Youre comfortable building the path as you walk it. You thrive in a dynamic environment seeing ambiguity not as a hindrance but as the raw material to build something meaningful.

What Were Looking for (Minimum Qualifications)

• Actively pursuing a Bachelors or Masters 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

What Will Make You Stand Out (Preferred Qualifications)

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

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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:

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.