Associate Director, Commercial AI and Advanced Analytics- Oncology

Role: Associate Director, Commercial AI and Advanced Analytics, focusing on delivering advanced marketing measurement and decision intelligence for BMS brands, particularly in oncology. Responsibilities include developing and operationalizing Marketing Mix models, causal analyses, and optimization strategies to inform brand planning, budget allocation, and performance evaluation. The role involves designing scalable, explainable models using Bayesian and other advanced techniques, integrating insights into automated pipelines, and supporting continuous decision-making capabilities. Collaborates closely with Brand, Omnichannel, Field, and Finance teams, translating complex analytics into actionable business recommendations. Qualifications: Master’s or PhD in Statistics, Economics, Data Science, or related fields; 5+ years of pharmaceutical commercial analytics experience, with expertise in MMM, causal inference, and advanced ML models; proficiency in Python/R, SQL, and cloud platforms like Databricks or Snowflake; familiarity with AI-enabled platforms and pharma data sources. High-Value: focus on oncology, advanced marketing mix modeling, causal inference, agentic insights, and regulated pharmaceutical environment. Work setup: role specifics on work model not explicitly stated; likely hybrid or remote based on company policies.