Associate Director, Marketing Sciences

Role Overview

• Lead the design, development, and scaling of omnichannel data sciences capabilities—including sales, content and engagement machine learning (ML) models, content‑ranking systems, and engagement prediction frameworks—to support data‑informed commercial decision making
• Establish sustainable, reproducible methodologies for building and deploying data science solutions, ensuring long‑term maintainability and alignment with enterprise architecture and commercial strategy
• Partner with Marketing Science measurement teams to incorporate analytical feedback, performance insights, and validation results into model enhancements and roadmap evolution
• Conduct functional feasibility assessments for omnichannel solution development and collaborate with IT and Commercial Operations on providing business enhancements for CRM, SFMC and Model Monitoring solutions

Requirements

• Bachelor’s degree in Data Science, Computer Science, Statistics, Engineering, Applied Mathematics, or a related quantitative field and ten (10) years of relevant experience OR Master’s degree in a relevant quantitative field and eight (8) years of relevant experience OR PhD in a relevant quantitative field and two (2) years of relevant experience
• Proven experience developing, deploying, and scaling machine‑learning (ML) algorithms in commercial or omnichannel environments (e.g., next‑best‑action, personalization models, engagement prediction)
• Experience collaborating with measurement, insights, and commercial analytics teams to integrate validation feedback and refine ML‑driven recommendations
• Strong ability to translate complex technical concepts into clear, business‑focused narratives tailored for senior commercial stakeholders
• Deep understanding of omnichannel data structures (HCP engagement, CRM, digital behaviors) and familiarity with pharmaceutical commercial processes and compliance considerations
• Ability to influence cross‑functional partners, drive alignment, and lead enterprise‑scale technical initiatives in a matrixed organization.

Benefits

• company-sponsored medical, dental, vision, and life insurance plans
• discretionary annual bonus
• discretionary stock-based long-term incentives
• paid time off