Principal Data Scientist

Principal Data Scientist role at Amgen focused on designing and deploying scalable AI/ML solutions and agentic systems to drive innovation and operational efficiency across the organization. Collaborate with multi-functional teams to develop responsible, ethical AI capabilities aligned with regulatory compliance and strategic objectives.

Responsibilities

• Architect and deploy scalable, agentic AI/ML systems and multi-agent frameworks for enterprise automation
• Develop MLOps pipelines ensuring data quality, versioning, testing, monitoring, and security standards compliance
• Translate emerging AI/ML techniques into enterprise-ready applications within GxP-regulated environments
• Partner with cross-functional teams to align AI initiatives with business goals and digital quality ecosystems
• Embed ethical AI principles including fairness, transparency, and explainability into solution design and deployment

Requirements

• Doctorate degree and 2+ years data science or ML engineering experience (or equivalent experience with advanced degree)
• Technical leadership experience delivering AI, machine learning, or generative AI products in production
• Understanding of GxP principles, data integrity, and regulated model lifecycle management in life sciences
• Expertise designing agent-based and multi-agent AI systems with frameworks like LangChain or LangGraph
• Advanced Python proficiency with PyTorch, TensorFlow, scikit-learn, and data engineering technologies
• Strong MLOps/LLMOps knowledge including MLflow, CI/CD pipelines, model monitoring, and cloud platforms
• Ability to mentor teams, influence stakeholders, and balance experimentation with production delivery