Principal Data Scientist

Role: Principal Data Scientist leading advanced analytics within AbbVie's commercial operations, focusing on personalized engagement and performance optimization. Responsibilities: develop and validate AI/ML and statistical models to generate actionable insights into customer behavior, engagement strategies, and business impact; translate product requirements into scalable technical solutions; lead cross-functional collaboration with data engineering, digital labs, and platform teams to operationalize analytics solutions; establish best practices in model development, deployment, and monitoring; mentor junior data scientists. Requirements: Bachelor's in a quantitative discipline; 8+ years in data science or analytics, with 5+ years in pharma or healthcare commercial analytics; deep expertise in machine learning, causal inference, and omni-channel analytics; proficiency in Python/R, SQL, and cloud-based deployment; experience with AI frameworks like PyTorch/TensorFlow; strong communication skills for technical and non-technical stakeholders. Preferred: experience with advanced ML methods such as reinforcement learning, familiarity with pharmaceutical data sources, cloud MLOps tools, and presenting to executive audiences. HighValue: pharmaceutical marketing analytics, omni-channel customer engagement, AI/ML deployment, cross-functional collaboration, and team mentorship. WorkSetup: not specified; likely hybrid or remote based on typical industry practices.