Data Scientist

Role: Data Scientist supporting digital transformation and data-driven decision-making within Amgen's Supply Chain, Quality, Finance, and External Supply functions. Responsibilities: develop and maintain data pipelines, dashboards, analytical models, and cloud-based solutions to enhance operational visibility, monitor supplier performance, assess supply risks, and improve business insights; collaborate with stakeholders to gather requirements, automate reports, and implement scalable data architectures; ensure data governance and quality in a regulated pharmaceutical environment; communicate analytical findings to diverse audiences. Requirements: Master’s degree or equivalent experience (2+ years for Bachelor’s, 6+ years for Associate’s, 8+ years for HS diploma); proficiency in Python, SQL, cloud data platforms (e.g., AWS, Azure), and visualization tools like Tableau or Power BI; experience in pharmaceutical or regulated manufacturing environments preferred. HighValue: supporting external supply, supply chain, procurement, and manufacturing data analysis in the biopharma sector; familiarity with enterprise systems such as SAP, MES, LIMS; experience with forecasting, predictive analytics, machine learning, and data governance. Work setup: not specified; likely hybrid or flexible, with emphasis on cross-functional collaboration.