Sr 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. Sr Data Scientist What you will do Let's do this. Let's change the world. In this vital role you will transform the lives of patients while transforming your career. Data Products & Application Development Design, develop, and maintain data-driven products and business applications that improve decision-making and operational efficiency. Build solutions including: Data products Business applications Automation tools Dashboards and reporting solutions Workflow management applications Decision-support platforms Develop scalable solutions using Python, SQL, cloud technologies, and modern software development frameworks. Generative AI & Intelligent Automation Design and deploy AI-enabled solutions that augment knowledge work and automate business processes. Develop capabilities including: Large Language Model (LLM) applications Retrieval-Augmented Generation (RAG) Intelligent document generation Information extraction Automated workflow assistance Knowledge management solutions Decision-support copilots Identify opportunities where AI can reduce manual effort and accelerate business outcomes. Data Engineering & Platform Development Develop and maintain the foundational services that power analytics and AI solutions. Build and support: Data pipelines APIs and integrations Backend services ETL/ELT workflows Data quality monitoring solutions Data processing frameworks Ensure reliable, scalable, and secure delivery of enterprise data products. Enterprise Data Integration Design solutions that integrate information across enterprise systems and business functions. Work with data and processes spanning: Clinical operations Supply chain Manufacturing Enterprise operational platforms Innovation & Technology Exploration Continuously evaluate emerging technologies and identify opportunities to create business value. Explore areas including: Generative AI Agentic AI Modern analytics platforms Cloud-native architectures Automation technologies Data engineering tools Enterprise application frameworks Recommend innovative approaches that improve business outcomes. User Experience & Front-End Solutions Build user-facing applications that make data, analytics, and AI capabilities accessible to business users. Develop interfaces using technologies such as: Streamlit Dash React Other modern web and visualization frameworks Focus on usability, adoption, and business impact. Automation & Operational Excellence Develop solutions that improve organizational efficiency through: Process automation Workflow standardization Self-service analytics Improved data accessibility Measure success through adoption, productivity gains, and operational improvements. Product Delivery & Solution Ownership Support the complete lifecycle of analytical and AI solutions. Participate in: Requirements gathering Solution architecture Technical design Development Testing and validation Deployment Documentation Ongoing sustainment and support Balance technical excellence with business priorities and delivery timelines. Collaboration & Stakeholder Partnership Partner closely with: Business stakeholders Product teams Data engineering teams Enterprise architects Digital technology teams Subject matter experts Translate business challenges into practical technical solutions while aligning with enterprise strategies and standards. Communication & Business Translation Communicate technical concepts and project outcomes to diverse audiences. Clearly articulate: Business value Solution architecture Technical tradeoffs AI capabilities and limitations Project progress Recommendations and next steps Bridge the gap between business needs and technical implementation. Core Competencies Hands-on experience with: Python Application Development SQL and D #J-18808-Ljbffr Amgen