Principal Data Scientist

Role: Principal Data Scientist leading advanced analytics within AbbVie's APEX team to support personalized commercial strategies. Responsibilities: oversee model design, development, validation, and deployment of AI/ML solutions for customer engagement, targeting, and performance measurement; translate business needs into scalable technical solutions; collaborate with cross-functional teams for productionalization and lifecycle management of models; mentor junior data scientists and oversee vendor workstreams; stay current with emerging AI methods. Requirements: Bachelor's in a quantitative field; 8+ years in data science, with 5+ years in pharma or healthcare analytics; strong expertise in machine learning, statistical modeling, omni-channel analytics, and experimental methods; proficiency in Python, R, SQL, and cloud deployment (e.g., Azure, Databricks); experience with deep learning frameworks like PyTorch or TensorFlow; background in pharmaceutical data sources (IQVIA, Symphony, etc.). Preferred: knowledge of reinforcement learning, advanced ML techniques, MLOps tools, and AI engineering principles; experience presenting to senior stakeholders. HighValue: pharmaceutical commercial analytics, omnichannel engagement, AI/ML deployment, and model lifecycle management. WorkSetup: not specified, but involves collaboration across teams.