Marketing Data Science Lead

Job Description

Marketing Data Science Manager | Mozilla

The Tone:
This is a full-time role at Mozilla, located remotely in the USA. Mozilla Corporation is a non-profit-backed technology company that has shaped the internet for the better over the last 25 years, known for pioneering brands like Firefox, a privacy-minded web browser. With over 225 million people using its products monthly, Mozilla is now shaping the next 25 years of technology to reclaim an internet built for people, not companies. Its work spans diverse areas including AI, social media, and security, always guided by its core mission to make the internet better for people. As the Mozilla Corporation is wholly owned by the non-profit Mozilla Foundation, it is beholden only to its mission, not shareholders. This Marketing Data Science Manager role is crucial for evaluating marketing’s impact on Firefox’s growth and developing clear data strategies to ensure its success, supporting the company’s commitment to open-source software and a user-centric internet.

The TL;DR
• Role: Full Time
• Type: Full-time
• Location: Remote, USA
• Pay: $166000–$260000 yearly
• Team: Marketing Data Science, supporting Firefox Marketing
• Mission: Own the global data strategy for Firefox Marketing, developing new data capabilities to unlock future business growth and drive practical recommendations for Firefox’s expansion.
• Tech Stack: Google Analytics, advertising platforms

What You’ll Actually Do
• Strategize: Set the strategy and roadmap for Marketing Data Science, prioritizing the highest-impact opportunities with key partners.
• Measure: Establish goals and measurement approaches for attribution, ROI, and campaign performance, delivering insights that improve marketing investment and outcomes.
• Develop Capabilities: Lead and develop the team’s core capabilities across performance marketing, brand marketing, user insights, and reporting and infrastructure.
• Innovate: Bring a forward-looking perspective on advertising, media innovation, and marketing analytics methods.
• Integrate AI: Partner with Data Science leaders to evaluate and responsibly adopt emerging AI tools that improve team workflows and impact.

The Must-Haves
• Background: Managerial-level expertise in the domain of marketing data science.
• Experience: 6+ years of marketing data science experience, ideally at a media agency or in-house marketing organization, with proven experience leading, mentoring, and developing talent and strong stakeholder management.
• Skills: Proficiency with marketing analytics tools including Google Analytics and advertising platforms; familiarity with modeling methods such as MMM, causal lift/synthetic control, saturation modeling, optimization, and Bayesian approaches; strong storytelling and communication skills with the ability to tailor data-driven insights and recommendations to different audiences; and the ability to prioritize multiple complex workstreams while managing stakeholders.