Data Scientist - AI & Analytics, Global Supply Chain

About the role

Amgen's Global Supply Chain Data & Analytics team is looking for a Data Scientist to act as a core data science expert and technical lead for AI-enabled capabilities. The role focuses on designing, developing, evaluating, deploying and continuously improving AI assistants, agentic AI and advanced analytics solutions, partnering with product owners, business stakeholders, data engineers, software engineers, architects and delivery partners.

Key responsibilities

• Lead assigned AI-enabled capabilities and turn business problems into prioritized AI and analytics use cases, technical approaches, success measures and delivery plans.
• Design and build GenAI and agentic AI solutions using large language models, retrieval-augmented generation, semantic search, prompt engineering and multi-agent workflows.
• Set up evaluation and monitoring of AI solutions, including accuracy, relevance, robustness, safety, user feedback and human review.
• Apply machine learning, statistical modeling and time-series analysis to supply chain use cases covering demand, supply, inventory, capacity, cost, risk and operational performance.
• Work with data engineers on trusted datasets, features, data quality checks, lineage and documentation.
• Integrate data science capabilities into enterprise applications and support testing, deployment and production performance.
• Review the work of data scientists and engineers, write technical documentation and communicate findings, trade-offs, risks and recommendations to technical and non-technical stakeholders.

Required profile

• Master's degree with 1-3 years of CS, IT or related experience, or Bachelor's degree with 2 years of relevant experience, or Associate's degree with 6 years of relevant experience.
• Hands-on experience with Python and SQL for data analysis, feature engineering, machine learning and NLP, and experience moving AI solutions from experimentation to production.
• Ability to lead a technical workstream, work with large complex datasets and communicate results clearly.
• Preferred: supply chain, manufacturing or biotech analytics experience, cloud data and AI platforms, and Agile or SAFe delivery experience.

Required skills

• Python and SQL
• Machine learning, statistical analysis, time-series methods and model evaluation
• GenAI and large language model capabilities (RAG, embeddings, semantic search, prompt engineering)
• MLOps or LLMOps practices
• Preferred: cloud data and AI platforms, responsible AI and AI governance

What we offer

• Health, dental and vision coverage, life and disability insurance, and a retirement savings plan with company contributions.
• Discretionary annual bonus or sales-based incentive plan, stock-based long-term incentives.
• Award-winning time-off plans and flexible work models where possible.