Marketing Data Science Manager

🕒 August 25

🇺🇸 United States – Remote

💵 $166k - $260k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

🦅 H1B Visa Sponsor

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Logo of Mozilla

Mozilla

501 - 1000 employees

Founded 1998

👥 B2C

🔒 Cybersecurity

B2C • Cybersecurity • Software

Mozilla is a non-profit organization dedicated to promoting an open and accessible internet. They are the makers of the popular Firefox browser, which emphasizes user privacy, speed, and control. Mozilla also offers a range of products that focus on internet security and privacy, including Mozilla VPN, Firefox Relay, and Mozilla Monitor. Additionally, the organization is involved in open-source projects, AI innovation, and advocating for digital rights. Mozilla aims to empower users with trustworthy technology and policies that protect privacy, support open-source AI development, and foster accountability for tech companies.

📋 Description

• 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, brand marketing, user insights, reporting, and infrastructure • Optimize budgets, measure causal lift, and test conversion signals • Plan and assess brand marketing measurement and long-term and lower-funnel impact • Develop retention/LTV models and audience segmentation • Build self-service dashboards, deliver ad hoc and executive reporting, and develop scalable data models and internal tools • 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

🎯 Requirements

• 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 ability to prioritize multiple complex workstreams • Strong storytelling and communication skills • Ability to tailor data-driven insights and recommendations to different audiences

🏖️ 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)

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