[Hiring] Marketing Data Science Manager @Mozilla

Role Description

In the past few years, Marketing has emerged as a key vector and focus of Firefox’s growth, with Data Science playing an essential role in evaluating Marketing’s impact and developing clear strategies to ensure that success. Marketing Data Science supports Firefox through the standard fare of marketing and beyond that as thought leaders at Firefox in translating broad goals into clearly defined objectives and identifying the path towards succeeding in them.

In this role, you will continue to build on the Marketing team’s recent successes as Firefox’s Marketing program continues to expand its footprint throughout the funnel. You’ll look to support this success in:

• Owning global data strategy for Firefox Marketing
• Developing new data capabilities to unlock future business growth
• Collaborating with Data Science counterparts in other domains
• Working closely across marketing and adjacent cross-functional teams to translate your team’s work into practical recommendations and enablement that drive Firefox’s growth

Qualifications

• 6+ years of marketing data science experience, ideally at a media agency or in-house marketing organization
• 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
• Proven experience leading, mentoring, and developing talent
• Strong stakeholder management and the ability to prioritize multiple complex workstreams
• Strong storytelling and communication skills, with the ability to tailor data-driven insights and recommendations to different audiences

Requirements

• Set the strategy and roadmap for Marketing Data Science, prioritizing the highest-impact opportunities with key partners
• Establish goals and measurement approaches for attribution, ROI, and campaign performance; deliver insights that improve marketing investment and outcomes
• Lead and develop the team’s core capabilities across:
• Performance marketing: budget optimization, causal lift measurement, and conversion-signal testing
• Brand marketing: measurement planning and assessment of long-term and lower-funnel impact
• User insights: retention/LTV modeling and audience segmentation
• Reporting and infrastructure: build self-service dashboards, deliver ad hoc and executive reporting, and develop scalable data models and internal tools that expand our understanding of the acquisition landscape
• Bring a forward-looking perspective on advertising, media innovation, and marketing analytics methods
• Partner with Data Science leaders to evaluate and responsibly adopt emerging AI tools that improve team workflows and impact

Benefits

• Generous performance-based bonus plans to all eligible employees - we share in our success as one team
• Rich medical, dental, and vision coverage
• Generous retirement contributions with 100% immediate vesting (regardless of whether you contribute)
• Quarterly all-company wellness days where everyone takes a pause together
• Country specific holidays plus a day off for your birthday
• One-time home office stipend
• Annual professional development budget
• Quarterly well-being stipend
• Considerable paid parental leave
• Employee referral bonus program
• Other benefits (life/AD&D, disability, EAP, etc. - varies by country)