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Jobs / Mozilla

Marketing Data Science Manager

Mozilla·Remote USRemotelead

In short

  • →Liderar la estrategia de datos para marketing global de Firefox.
  • →Desarrollar métricas de impacto, pruebas causales y modelos de retención para optimizar inversiones.
  • →Papel clave en impulsar el crecimiento de Firefox con enfoque en privacidad y misión social.

Proficiency in English required

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What they ask for

  • ✓Experiencia en estrategia de datos para marketing
  • ✓Habilidades en medición de impacto y ROI
  • ✓Conocimiento en análisis causal y pruebas A/B
  • ✓Experiencia con modelos de LTV y segmentación
  • ✓Liderazgo de equipo de ciencia de datos
  • ✓Colaboración con equipos multifuncionales

Don't tick every box? That's normal — your free dossier shows your gaps and how to cover them in the interview.

Data ScienceMarketing AnalyticsCausal InferenceA/B TestingLift TestingBudget OptimizationForecastingUser Retention ModelingAudience SegmentationSelf-Service Dashboards

Who should you write to at Mozilla?

Your free dossier identifies the people who'd interview you — their background, what they value, and how to reach out so you stand out before applying.

Why Mozilla? Mozilla Corporation is the non-profit-backed technology company that has shaped the internet for the better over the last 25 years. We make pioneering brands like Firefox, the privacy-minded web browser. Now, with more than 225 million people around the world using our products each month, we’re shaping the next 25 years of technology and helping to reclaim an internet built for people, not companies. Our work focuses on diverse areas including AI, social media, security and more. And we’re doing this while never losing our focus on our core mission – to make the internet better for people. The Mozilla Corporation is wholly owned by the non-profit 501(c) Mozilla Foundation. This means we aren’t beholden to any shareholders — only to our mission. Along with thousands of volunteer contributors and collaborators all over the world, Mozillians design, build and distribute open-source software that enables people to enjoy the internet on their terms. About this team and role: 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 (ongoing measurement, experimentation/lift testing, adhoc analysis, forecasting/budget optimization), 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 domains, and 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. What you’ll do: • 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. </

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