Marketing Data Science Manager

We are hiring a Marketing Data Science Manager to lead modeling, measurement, and optimization initiatives that drive multi‑million‑dollar marketing decisions. The ideal candidate combines strong technical expertise with strategic marketing insight and executive‑level communication skills.

Key Responsibilities

• Build and deploy models for MMM, attribution, incrementality, LTV, churn, segmentation, and media optimization.
• Design and analyze geo experiments, lift tests, and causal measurement frameworks.
• Translate model outputs into clear marketing recommendations and influence VP‑level stakeholders.
• Present insights through strong storytelling, dashboards, and visualizations.
• Maintain and enhance analytics pipelines in Python/R/SQL across cloud (AWS).
• Operationalize insights with marketing teams (budget allocation, bidding strategies, audience targeting).
• Lead cross‑functional projects, documentation, training, and stakeholder communication.

Required Skills

Technical

• Deep expertise in causal inference, predictive analytics, incrementality, and experimentation.
• Hands-on end‑to‑end MMM development and scaling.
• Experience with tROAS, value-based bidding, and media optimizers.
• Strong Python/R, SQL; experience with AWS (SageMaker, EC2, Lambda).
• Familiarity with Terraform, Bitbucket, and ML deployment best practices.

Business & Communication

• Ability to simplify complex models for non‑technical senior leadership.
• Proven experience influencing marketing strategy and budget decisions.
• Strong cross-functional ownership and stakeholder management.

Marketing Domain Knowledge

• Practical understanding of search, social, display, TV, OLV, direct mail.
• Strong grasp of funnel metrics, attribution, marginal ROI curves, and optimization.

Experience

• 10+ years in marketing analytics, media measurement, or data science.
• 10+ years experience with statistical modeling and ML.
• 5+ years with marketing experimentation/research.
• Preferred backgrounds: e‑commerce, retail, telecom, CPG, education, B2C, or media agencies (Analytic Partners, Neustar, Merkle, Gain Theory)