Principal Data Scientist

Roles & Responsibilities :

• Define and evangelise the multi-year AI-platform vision, architecture blueprints and reference implementations that align with Amgen s digital-transformation and cloud-modernization objectives.
• Design and evolve foundational platform components feature stores, model-registry, experiment-tracking, vector databases, real-time inference gateways and evaluation harnesses using cloud-agnostic, micro-service principles.
• Implement robust MLOps pipelines (CI / CD for models, automated testing, canary releases, rollback) and enforce reproducibility from data ingestion to model serving.
• Embed responsible-AI and security-by-design controls data-privacy, lineage tracking, bias monitoring, audit logging through policy-as-code and automated guardrails.
• Serve as the ultimate technical advisor to product squads : codify best practices, review architecture / PRs, troubleshoot performance bottlenecks and guide optimisation of cloud resources.
• Partner with Procurement and Finance to develop TCO models, negotiate enterprise contracts for cloud / AI infrastructure, and continuously optimise spend.
• Drive platform adoption via self-service tools, documentation, SDKs and internal workshops; measure success through developer NPS, time-to-deploy and model uptime SLAs.
• Establish observability frameworks metrics, distributed tracing, drift detection to ensure models remain performant, reliable and compliant in production.
• Track emerging technologies (serverless GPUs, AI accelerators, confidential compute, policy frameworks like EU AI Act) and proactively integrate innovations that keep Amgen at the forefront of enterprise AI.

Must-Have Skills :

Good-to-Have Skills :

Education and Professional Certifications

OR

Soft Skills :

Skills Required

Machine Learning, Deep Learning, Statistical Analysis, data engineering , Big Data, Cloud Computing