# Marketing Data Science Manager

**Company:** [Mozilla](https://hotfix.jobs/companies/mozilla)
**Location:** Remote
**Role:** Data Science
**Experience:** 6+ years
**Skills:** Google Analytics, Advertising Platforms, Marketing Mix Modeling, Causal Lift Measurement, Synthetic Control, Saturation Modeling, Optimization, Bayesian Methods, Retention Modeling, Lifetime Value Modeling, Audience Segmentation, Data Modeling, Dashboard Development, Marketing Analytics, AI Tools
**Posted:** 2026-08-25

> Leads the strategy, measurement, and capability development for Firefox Marketing Data Science, covering attribution, campaign performance, budget optimization, customer insights, and scalable reporting. Requires 6+ years of marketing data science experience plus talent leadership and strong stakeholder communication.

## Job Description

## Responsibilities
- Set the strategy and roadmap for Marketing Data Science, prioritizing high-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 capabilities across performance marketing, brand marketing, user insights, reporting, and data infrastructure.
- Optimize budgets, measure causal lift, and test conversion signals.
- Plan and assess brand marketing measurement, including long-term and lower-funnel impact.
- Develop retention and lifetime-value models and audience segmentation.
- Build self-service dashboards, executive reporting, scalable data models, and internal tools.
- Track advertising, media innovation, and marketing analytics methods.
- Partner with Data Science leaders to evaluate and responsibly adopt 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 marketing mix modeling, causal lift or synthetic control, saturation modeling, optimization, and Bayesian approaches.
- Experience leading, mentoring, and developing talent.
- Strong stakeholder management and prioritization across complex workstreams.
- Strong storytelling and communication skills, with the ability to tailor data-driven recommendations to different audiences.

## Compensation & Benefits
- Performance-based bonus plans for eligible employees.
- Medical, dental, and vision coverage.
- Retirement contributions with immediate vesting.
- Quarterly company wellness days.
- Country-specific holidays and a birthday day off.
- Home office stipend.
- Annual professional development budget.
- Quarterly well-being stipend.
- Paid parental leave.
- Employee referral bonus program.
- Additional benefits may include life and AD&D insurance, disability coverage, and an employee assistance program; benefits vary by country.

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