Senior Manager – Marketing Data Science & Modeling

Senior Manager – Marketing Data Science & Modeling

Requirements

• 10+ years of experience in data science, marketing analytics, business strategy, or related disciplines
• 5+ years managing complex technical projects in fast-paced environments with multiple stakeholders
• 1+ years of people management experience, with a strong track record of mentoring and developing talent
• A degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, or similar
• Deep expertise in predictive modeling, machine learning, forecasting, and advanced analytics techniques
• Hands-on experience building media mix models, including data integration, attribution modeling, and scenario planning
• Proficiency in Python or R, and strong SQL skills
• Familiarity with modern marketing stacks, including CRM, CDPs, marketing automation, and analytics platforms

Responsibilities

• Design, build, and deploy predictive models and machine learning solutions that power key marketing initiatives
• Develop and maintain models that assess marketing spend effectiveness across channels and customer segments
• Analyze large-scale customer datasets to uncover actionable insights
• Create advanced segmentation models to inform targeting, retention, and cross-sell/upsell strategies
• Operationalize models by embedding them into marketing workflows and tools
• Mentor junior team members and foster a culture of experimentation, rigor, and business alignment
• Act as a trusted advisor to partners in marketing, product, finance, and executive leadership

Preferred Qualifications

• Experience with media pricing analytics and subscription-focused business models is preferred