The Senior Supply Chain Data Scientist will join the Supply Chain AI team, reporting to Principal Supply Chain AI Scientist. This role is responsible for developing and deploying OR, ML and AI models to optimize supply chain functions across the enterprise. This role will be working remotely.

In this role, you will have the opportunity to:

Architect and maintain scalable, secure, and low-latency data pipelines and systems to support agentic AI applications
Build and optimize data architectures to support AI/ML/OR(Operations Research) model training, evaluation and deployment
Integrate with LLM orchestration frameworks (e.g., LangChain, Semantic Kernel) and support modular data access by multiple agentic processes
Monitor and troubleshoot data workflows, ensuring timely and accurate delivery of data to end users
Collaborate with data scientist, project managers and supply chain stakeholders to understand data needs and translates business requirements into technical solutions.

The essential requirements of the job include:

Bachelor s with 5 years of experience or Master s with 3 years of experience in Computer Science, Information Technology, Engineering or related field
Strong hands-on experience in AI agent and AI system development, with solid understanding of LLMs, autonomous agents, retrieval-augmented generation (RAG), and memory architectures
Strong hands-on experience with the concept and design of data pipelines utilizing different cloud tools such as SnowFlake, Azure, AWS
Familiar with co-solution development environment such as in Scala, Java or Python
Familiar with creating reports and visualization using Power BI, Power App, Power Automate or a similar BI tool.

It would be a plus if you also possess previous experience in:

Background in OR, ML model deployment is a plus
Knowledge of core business processes (Supply Chain, Operations) obtained by directly working in these functions is preferred.

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