MARKETING DATA SCIENTIST LEAD

About the Role

Key Responsibilities

• Develop and maintain robust Marketing Mix Models (MMM) in Python to inform investment decisions across oncology and women's health portfolios.
• Build scalable Next Best Action / Next Best Engagement models to support HCP engagement strategies and optimize omnichannel performance.
• Partner with media agencies, brand teams, and digital marketers to integrate and utilize complex digital media data in modeling efforts.
• Leverage personalization techniques and recommender models to tailor messaging, timing, and channels to individual HCP preferences and behaviors.
• Translate complex modeling outputs into actionable commercial strategies through clear and compelling storytelling.
• Serve as a thought partner to stakeholders across Commercial, Medical Affairs, and Insights, driving model adoption and continuous refinement.
• Stay up to date on therapeutic trends, data sources, and digital innovation in oncology and women's health.

Requirements

• Strong Python programming skills with a track record of developing and deploying statistical models in a production setting.
• Deep expertise in Marketing Mix Modeling, with proven experience building MMMs independently with business impact.
• Experience working with digital marketing data, media mix inputs, CRM systems, and healthcare datasets.
• Familiarity with personalization models or recommender systems, ideally within healthcare or life sciences.
• Strong communication and stakeholder management skills, with the ability to influence and collaborate across teams.