- Company: Get A Job.ai
- Location: Canada, UK
- Salary: Pay not listed
- Work type: Remote
Website Get A Job.ai
Represented by Get A Job.ai
About This Opportunity
We are representing a confidential technology organization seeking a Marketing Data Science Manager to lead their data strategy and team. This is a remote role based in Canada or the UK, reporting into a product-focused division that serves hundreds of millions of users globally.
In this position, you will own the global data strategy for marketing, building new capabilities that unlock business growth while collaborating across data science, marketing, and cross-functional teams. You'll translate analytical work into practical recommendations that drive measurable user acquisition and retention outcomes.
Responsibilities
- Set the strategy and roadmap for Marketing Data Science, prioritizing the highest-impact opportunities with key partners across the organization
- 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, conversion-signal testing), brand marketing (measurement planning and assessment of long-term and lower-funnel impact), and user insights (retention/LTV modeling and audience segmentation)
- Build self-service dashboards, deliver ad hoc and executive reporting, and develop scalable data models and internal tools that expand 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
What We're Looking For
- 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, with strong stakeholder management skills
- Ability to prioritize multiple complex workstreams simultaneously
- Strong storytelling and communication skills, with the ability to tailor data-driven insights and recommendations to different audiences
How We Work with You
Candidates apply directly through Get A Job.ai. Our talent team conducts an initial screening to understand your background and ensure alignment with the role. Qualified candidates are then submitted to our client for consideration. Please do not contact the client organization directly, as all communication is managed through our recruitment process to ensure a professional and coordinated experience.
Pay
Compensation details will be discussed during the screening process and vary based on location and experience level.
Equal Employment Opportunity: Get A Job.ai is committed to inclusive hiring practices. We encourage applications from all qualified candidates and provide reasonable accommodations throughout our recruitment process.
Apply with Get A Job.ai
A recruiter will review your profile and submit you to the client. Do not contact the client directly.
Apply through Get A Job.ai. A recruiter will review your profile and submit you. Do not contact the client directly.
Apply through Get A Job.ai. A recruiter will review your profile and submit you.
Local insights for this role are preparing — this section updates automatically in a few seconds (or refresh).
Listing facts
- Role Marketing Data Science Manager
- Employer Get A Job.ai
- Location Canada, UK · Remote-friendly
- Type Full Time
- Pay (from listing) Pay not listed
- Posted September 21, 2026
- Apply by October 21, 2026
- Country United Kingdom
- Overview Full job description on this page (414 words)
Facts above come from this job record on Get A Job.AI — not copied from third-party review sites.
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