Marketing Data Science Manager

Job Description

Responsibilities

• 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.
• Partner with Data Science leaders to evaluate and responsibly adopt emerging AI tools that improve team workflows and impact.

What you’ll bring:

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

Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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