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Marketing Data Science Manager

This remote, full-time Marketing Data Science Manager post is in Firefox's marketing analytics group. The team has grown in importance as marketing extends its reach through…

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Role Snapshot

Hiring Now
Work arrangement
Remote
Where applicants may be
Applicants in United States only
Salary
Not specified
Apply by
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Employment type
Full-time
Experience
Not specified
Published2h ago
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Applications0
Apply BeforeNo deadline

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About This Role

This remote, full-time Marketing Data Science Manager post is in Firefox's marketing analytics group. The team has grown in importance as marketing extends its reach through the funnel, and it measures marketing's effect while helping set goals. The manager will set the worldwide data plan for Firefox Marketing and build analytical capabilities for future growth. The manager sets the group's strategy and roadmap, prioritizes high-value work with partners, and defines…

Job Description

This remote, full-time Marketing Data Science Manager post is in Firefox's marketing analytics group. The team has grown in importance as marketing extends its reach through the funnel, and it measures marketing's effect while helping set goals. The manager will set the worldwide data plan for Firefox Marketing and build analytical capabilities for future growth.

The manager sets the group's strategy and roadmap, prioritizes high-value work with partners, and defines how attribution, return on spend, and campaign results will be measured. Team specialties include performance marketing such as budget optimization, causal lift tests, and conversion signal experiments; brand measurement of long-horizon and lower-funnel effects; and user insight work such as retention and lifetime-value modeling and audience segments.

Reporting and infrastructure work covers self-service dashboards, ad hoc and executive analyses, and reusable data models and in-house tooling. The manager also grows the team, coordinates with Data Science leaders on evaluating and adopting AI tools carefully, and brings a forward-looking view of advertising and media innovation.

Applicants need six or more years in marketing data science, preferably gained at an agency or inside a brand's marketing group. Hands-on fluency with Google Analytics and ad platforms is expected, along with comfort with MMM, causal-lift tests, synthetic controls, saturation curves, optimization, and Bayesian techniques. Proven ability to lead and develop people, manage several complicated workstreams, and tell compelling stories with data is required.

The listing does not describe benefits or a salary.

Responsibilities

  • Chart the analytics direction and timeline for marketing, choosing top priorities with partner teams
  • Set measurement methods for attribution, return on investment, and campaign performance
  • Guide performance, brand, and user-insight analytics capabilities
  • Produce dashboards, one-off analyses, executive-level reports, and reusable data models
  • Work with Data Science leaders on responsible adoption of emerging AI tools
  • Turn analysis into recommendations that improve marketing investment

Requirements

  • At least six years in marketing data science
  • Working fluency with Google Analytics and advertising platforms
  • Comfort with MMM, causal-lift tests, synthetic controls, saturation curves, optimization, and Bayesian techniques
  • Experience leading, mentoring, and growing analytics talent
  • Stakeholder management and prioritization across complex workstreams
  • Storytelling skill with data for varied audiences

Qualifications

  • Experience with agencies or brand-side marketing groups
  • Forward-looking view of advertising, media innovation, and analytics methods

Core Skills

Frequently Asked Questions

Answers are based only on the employer’s listing; where it doesn’t say, neither do we.

Is the role remote?

Yes. It is listed as remote and full time.

What experience is required?

Six-plus years in marketing data science, ideally agency-side or brand-side.

Which tools are named?

Google Analytics, ad platforms, and techniques like MMM and Bayesian modeling.

Is salary provided?

No salary or benefits are described in the listing.

Sample Interview Questions

AI-generated questions tailored to this specific role — a preview of the full practice set.

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