Sr. Data Scientist – Analytics Applications & Decision Support

About the Role 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. Amgen India is expanding the team and seeks a Sr. Data Scientist – Analytics Applications & Decision Support to rapidly prototype, build, and deliver user-facing analytics applications, interactive decision-support tools, and visual analytics experiences for clinical and commercial supply chain processes. The role combines data science, front-end analytics application development, visualization, cloud technologies, API integration, and product-oriented delivery. What You'll Do

• Rapid prototyping and analytics application development: Quickly translate business concepts, scientific questions, and product ideas into working prototypes, interactive analytics applications, and user-facing decision-support tools.
• Decision-support and visual analytics delivery: Build dashboards, visual analytics, interactive interfaces, and decision-support tools across descriptive to prescriptive analytics.
• Front-end analytics application development: Design and build intuitive user interfaces, visual workflows, and interactive components for analytics applications using modern front-end and visualization technologies.
• Technical documentation and solution clarity: Create and maintain clear technical documentation including solution design, data flows, API specifications, and implementation details.
• Technical problem-solving and delivery execution: Identify, troubleshoot, and resolve technical challenges while balancing speed, quality, maintainability, risk, and scalability.
• Technology evaluation and learning agility: Stay current with cloud capabilities, analytics application frameworks, visualization tools, front-end technologies, and engineering practices; assess options and make recommendations.
• Product and module ownership: Understand the product, modules, dependencies, data flows, user workflows; serve as technical expert for components.
• Cross-functional collaboration and stakeholder partnership: Work with product teams, business teams, architecture teams, UX, data teams, stakeholders, and subject-matter experts to deliver data-driven solutions aligned with enterprise standards.
• Requirements translation and Agile delivery: Synthesize inputs into prioritized features, user stories, acceptance criteria, and delivery plans; actively participate in Agile ceremonies.