Director, Marketing Science And Ai/Ml

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 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.

Zscaler has an incredible story to tell, and our Marketing team is committed to sharing it in compelling and expressive new ways. Our storytellers, analysts, strategists, and designers are attentive and dedicated to teaching our audience to think about cybersecurity like they never have before. You'll collaborate with diverse, creative people around the globe to hone the Zscaler brand, increase awareness and demand, support partnerships, and drive home big wins for the world's cloud security leader and our customers worldwide.

We're looking for an experienced Director of Marketing Science and AI/ML to join our team. Reporting to the VP of Marketing Strategy & Ops, you'll be responsible for:

• Be the Analytics lead to build customer segmentation propensity models for personas and buying cohorts based on firmographic, demographic, and behavioral traits. Help eliminate the accounts that don't fit our ICP and prioritize those with intent data and activity. Collect user job titles, job classes, and signals from our digital properties and third party data sources.

• Collaborate with Growth, Demand Gen, and Web Marketing teams to conduct business case / opportunity sizing, and report out on performance via A/B test and long-term campaign results (e.g., revenue impact, ROI, retention, customer growth)

• Develop and launch these machine learning models that can forecast customer behavior, identify highest-value prospects, personalize marketing messages

• Help illustrate our customer journeys through digital attribution and making our web engagement transparent for lifecycle and growth marketing projects

• Understand our offline campaign and event strategy to construct upsell and cross-sell projects with existing pipeline analyses and identifying win rate success

• Study emerging markets and macroeconomic trends to help guide pilots for our products

What We're Looking for (Minimum Qualifications)

• 8+ years experience in a directly related field such as data science, marketing science, or marketing analytics in the paid media measurement space. Specific to Marketing, driving analytics for growth/demand gen marketing and web projects with AI (e.g., ML, genAI, recommendation systems, etc.)
• Experience analyzing and manipulating data sets using R, Python, SQL and applying statistics where appropriate to understand patterns and provide insights. Has worked with Customer Data Platforms (CDP) and implemented
• A deep understanding of applied statistics including sampling approaches, causal modeling, time series analysis, and data-mining techniques. Experience with building these models as well as working with 3rd party tools such as 6sense, Zoominfo, Clearbit, Drift, Bombora, Marketo, and Salesforce

What Will Make You Stand Out (Preferred Qualifications)

• 2+ years experience managing a team of data scientists and working with Marketing functions and associated data science projects, including but not limited to Lead Scoring (ML models), Multi-touch Attribution (MTA), Media Mix Modeling (MMM), Spend Optimization, Life-Time Value Modeling (LTV), and Return on Ad Spend (RoAS)

• Advanced degree in a quantitative field such as engineering, analytics, statistics, or data science related fields

• A deep understanding of the digital advertising and RoAS measurement ecosystem as it relates to Google SEM, LinkedIn, and FB

• Experience with marketing mix modeling/econometric analysis and/or other branches of market research (custom survey research, advertising testing or tracking, new product research, etc.)

• Experience with conversion rate optimization platforms (Optimizely, Intellimize, etc.), specifically as it applies to analysis of test results as part of wider demand generation efforts and with website analytics platforms such as Google Analytics (GA4), Adobe Analytics (SiteCat), or similar.

• Comfortable presenting to C-level executives while still being "plugged in" and reviewing queries/code.

This role is preferred to sit onsite at our San Jose, CA office (hybrid work environment) but the team is also open to remote options.

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At Zscaler, we believe that diversity drives innovation, productivity, and success. We are looking for individuals from all backgrounds and identities to join our team and contribute to our mission to make doing business seamless and secure. We are guided by these principles as we create a representative and impactful team, and a culture where everyone belongs. For more information on our commitments to DEIB, visit the Corporate Responsibility page of our website.

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

• A flexible time off policy

• Parental leave options

• Retirement options

• Education reimbursement

• In-office perks, and more!

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, and relevant education or training.

The base salary range listed for this full-time position excludes commission/ bonus/ equity (if applicable) + benefits.

Base Pay Range

$192,500-$275,000 USD

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 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.

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. For additional information about the federal requirements, click here.

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.