Senior Manager, Decision Science
Core
Senior Manager leading decision science and AI enablement to drive innovation in response modeling, ROI/mROI estimation, scenario development, and resource optimization for data-driven commercial decisions in pharma.
Role type
Senior Manager, hands-on IC with strategic leadership
Builds
Production ML models, response models, optimization frameworks, and reusable analytics capabilities for US and global commercial priorities
Domain
Pharmaceutical commercial analytics and healthcare data
Deliverable
production ML models
Required skills
Response modeling, ROI/mROI estimation, scenario simulation, optimization techniques, team leadership, data storytelling, advanced analytics ecosystem proficiency, cross-cultural matrix management
Preferred skills
GCC/offshore delivery experience, AI/ML integration, vendor coordination, advanced degree in quantitative field
Technologies
Python, SQL, Databricks, Spark/PySpark, GLM, Bayesian methods, logistic regression, ML/ensemble methods, BI tools, cloud-based ML platforms
Responsibilities
Lead development of promotion response models for campaign assessment and spend optimization; Manage data sourcing and provide hands-on QA and modeling input; Lead and coach data scientists to drive performance; Serve as MOS point of contact for promotional performance and simulation; Lead design and deployment of advanced models and workflow automation; Deliver defensible recommendations on promotional investment.
Seniority
Senior Manager, hands-on IC with strategic oversight
