Data Scientist

United States - Remote JOB ID: R-257589 LOCATION: United States - Remote WORK LOCATION TYPE: Remote DATE POSTED: Oct. 09, 2026 CATEGORY: Information Systems SALARY RANGE: 103,852.15USD -140,505.85 USD 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. Amgen is advancing a broad and deep pipeline and portfolio of medicines to treat heart disease, obesity and obesity-related conditions, rare diseases, inflammatory conditions and cancer. 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 serve as a core data science expert and AI-enabled capabilities within Amgen's Global Supply Chain Data & Analytics team. The role will focus primarily on designing, developing, evaluating, deploying, and continuously improving AI assistants, agentic AI capabilities, and advanced analytics solutions supporting the analytics ecosystem. This individual will partner with product owners, business stakeholders, data engineers, software engineers, architects, and delivery partners to translate complex supply chain problems into secure, scalable, and reliable solutions that improve user productivity and business decision-making. The ideal candidate combines hands-on data science and GenAI expertise, business understanding, stakeholder communication, and experience operationalizing solutions in an enterprise environment. Roles & Responsibilities: Serve as the data science technical lead and subject matter expert for assigned AI-enabled capabilities across analytics capabilities Partner with product owners and supply chain stakeholders to translate business problems into prioritized AI and analytics use cases, technical approaches, success measures, and delivery plans Design, develop, evaluate, and enhance GenAI and agentic AI solutions using large language models, retrieval-augmented generation, semantic search, prompt engineering, and multi-agent workflows Establish evaluation and monitoring approaches for AI solutions, including accuracy, relevance, robustness, safety, user feedback, and appropriate human review Apply machine learning, statistical modeling, and time-series analysis to supply chain use cases involving demand, supply, inventory, capacity, cost, risk, and operational performance Collaborate with data engineers to develop trusted analytical datasets, reusable features, data quality checks, lineage, and documentation supporting AI and analytics products Work with software engineering, architecture, platform, testing, and delivery partners to integrate data science capabilities into enterprise applications and support testing, deployment, production performance, and issue resolution Provide technical guidance and reviews to data scientists, engineers, and delivery partners; coordinate dependencies and promote reusable approaches across connected products Develop technical documentation, operating procedure and contribute to technical reviews Communicate findings, solution tradeoffs, risks, recommendations, and business impact to technical and non-technical stakeholders while contributing through the Agile delivery model and applicable AI and data governance processes What we expect of you We are all d…

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