Sr. Data Scientist – AI Driven Operations Research

Career Category Supply Chain Job Description ABOUT AMGEN Amgen harnesses the best of biology and technology to fight the world’s toughest diseases and make people’s lives easier, fuller, and longer. We discover, develop, manufacture, and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting edge of innovation, using technology and human genetic data to push beyond what is known today. ABOUT THE ROLE Role Description Global Supply Chain (GSC) is accountable for orchestrating end-to-end supply chain strategies and operations that ensure reliable, timely delivery of medicines to patients — powered by data, innovation, and enterprise-wide collaboration. As part of our team expansion at Amgen India (AIN), GSC is seeking a highly analytical and technically strong Sr. Data Scientist –  AI Driven Operations Research to join our team. This role focuses on applying operations research, digital twin modeling, simulation, optimization, and advanced analytics to solve complex clinical and commercial supply chain challenges across drug development, manufacturing, distribution, and patient delivery operations. The ideal candidate combines strong quantitative modeling expertise with hands-on software engineering capabilities to develop scalable, production-ready analytical solutions that support strategic and operational decision-making under uncertainty. ROLES & RESPONSIBILITIES Core Responsibilities Supply Chain Digital Twin Development Support the design, development, and deployment of Digital Twin capabilities for Supply Chain operations. Develop solutions that combine: Simulation modeling Optimization methods Machine learning techniques Scenario planning capabilities Decision intelligence frameworks Help evaluate system behavior under varying conditions and operational constraints. Decision Support & Scenario Analysis Build scalable decision-support solutions that enable: What-if analysis Scenario planning Capacity and resource planning Supply chain resilience assessment Strategic tradeoff evaluation Risk-based decision making Translate analytical outputs into actionable recommendations for business stakeholders. Optimization & Simulation Technology Develop expertise in optimization and simulation technologies including: AnyLogic (preferred) Simio Arena Other simulation platforms Gurobi OR-Tools Related optimization technologies Evaluate emerging tools and methodologies that can improve decision support capabilities. AI-Enabled Analytics Leverage AI-assisted tools and development practices to accelerate analytical solution delivery. Apply AI technologies to: Analytical modeling Software development Code quality improvement Productivity enhancement Decision-support solution development Explore opportunities to incorporate machine learning and AI into operational decision systems. Technical Standards & Reusable Frameworks