GenAI-Powered Data Scientist for Global Supply Chain

Amgen Inc.; United States; Hybrid; USD 104,000 - 141,000; Full time

Job summary

Amgen Inc. is seeking a Data Scientist to join the Global Supply Chain Data & Analytics team.

You will design, deploy, and continuously improve AI assistants and analytics solutions, partnering with product owners, data engineers, software engineers, and stakeholders to translate complex supply chain problems into secure, scalable solutions that boost productivity and informed decision-making. The role requires hands-on data science and GenAI expertise, with the ability to operate in an

Qualifications

• Master's degree or higher in CS/IT or related field with 1–3 years experience OR
• Bachelor's in data science, stats, analytics or related field with 2 years experience OR
• Associate's degree with 6 years of relevant experience

Responsibilities

• Serve as data science technical lead for AI-enabled capabilities across analytics
• Translate business problems into prioritized AI/analytics use cases and delivery plans
• Design, develop, evaluate GenAI solutions using LLMs, retrieval-augmented generation, and semantic search
• Establish evaluation and monitoring for AI solutions including accuracy and safety
• Apply ML and time-series analysis to supply chain use cases like demand, inventory, cost
• Collaborate with data engineers to build trusted datasets and reusable features
• Work with software engineers to integrate data science into enterprise apps
• Provide technical guidance to data scientists and engineers
• Develop technical documentation and operating procedures
• Communicate findings and risks to stakeholders within Agile processes

Skills

Python

SQL

GenAI

Machine Learning

Time-series analysis

Data visualization

Stakeholder communication

Education

Master's degree

Bachelor's degree

Associate's degree

Tools

Cloud platforms

LLMOps

Job description

Amgen Inc. is seeking a Data Scientist to join the Global Supply Chain Data & Analytics team.

You will design, deploy, and continuously improve AI assistants and analytics solutions, partnering with product owners, data engineers, software engineers, and stakeholders to translate complex supply chain problems into secure, scalable solutions that boost productivity and informed decision-making. The role requires hands-on data science and GenAI expertise, with the ability to operate in an