Principal Data Scientist

Amgen · Thousand Oaks, CA

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Role summary

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.

What they're looking for

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

What you'll be doing

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

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Date posted2 days ago

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