Data Scientist

Career Category Operations Job Description Join Amgen’s Mission of Serving Patients At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do. Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. Amgen is advancing a broad and deep pipeline of medicines to treat cancer, heart disease, inflammatory conditions, rare diseases, and obesity and obesity-related conditions. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives. Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career. Data Scientist What you will do Let’s do this. Let’s change the world. In this vital role you will join the Digital Strategy and Data Management team. This role will support digital transformation and data-driven decision-making across External Supply, Supply Chain, Quality, Finance, and external partner operations. The Data Scientist will develop and maintain data products, dashboards, analytical models, and cloud-based data solutions that improve operational visibility, supplier performance monitoring, risk management, and business decision-making. The role will work closely with External Supply stakeholders, internal manufacturing sites, contract manufacturing organizations, Supply Chain, Quality, Finance, and information technology teams to translate business needs into trusted, actionable, and governed data solutions. The successful candidate will bring strong technical capabilities in analytics, data engineering, visualization, and cloud data platforms, with an interest in pharmaceutical manufacturing, external supply, supply chain, finance, and procurement processes. Develop, maintain, and enhance data pipelines, curated datasets, analytical data products, and reporting layers using Python, SQL, and cloud-based data platforms. Build dashboards and visual analytics to monitor External Supply performance, manufacturing status, inventory, supply risk, supplier performance, procurement activity, and operational trends. Apply statistical and analytical methods to identify patterns, generate insights, support scenario analysis, and improve business decision-making. Partner with business stakeholders and senior team members to gather requirements, clarify business problems, identify data sources, and deliver fit-for-purpose analytical solutions. Integrate and analyze structured and unstructured data from enterprise systems, including ERP, supply planning, procurement, manufacturing, quality, finance, and external partner data sources. Automate recurring reports, data preparation activities, and manual analyses to improve efficiency, consistency, and accessibility. Support the design and implementation of scalable, maintainable, and reusable data models and data architecture. Support data governance, data quality, documentation, validation, and data lineage practices for analytics used in a regulated pharmaceutical environment. Communicate analytical findings, technical recommendations, and business insights clearly to technical and non-technical audiences. Follow best practices for code development, dashboard design, data management, analytics lifecycle management, and solution sustainability. What we expect of you We are all different, yet we all use our unique contributions to serve patients. The dynamic professional we seek is an individual with these