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Data Scientist, SMAI OI

Job in Singapore, Singapore
Listing for: Micron Technology, Inc
Full Time position
Listed on 2026-07-07
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 SGD Yearly SGD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Position: Staff Data Scientist, SMAI OI
## Staff Data Scientist, SMAI OISingapore, Singapore Apply Now Find out how well you match with this jobJob IDJR
103840
** Our vision is to transform how the world uses information to enrich life for all.
** Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing.

We are seeking a highly motivated
** Agentic AI Data Scientist
** to lead the design and deployment of next-generation AI agents that drive
** end-to-end planning and operational optimization
** within SMAI (Smart Manufacturing & AI).This role focuses on building
** goal-driven, multi-step AI systems (“agents”)
** that can autonomously plan, decide, and execute workflows across manufacturing planning, capacity optimization, and operations intelligence—unlocking cycle time reduction, capacity improvements, and decision automation at scale.##
** Key Responsibilities**###
** 1. Agentic AI Design & Development
*** Design and develop
** agent-based AI systems
** capable of:  + Multi-step reasoning (planning + decision-making + execution)  + Autonomous orchestration across workflows and platforms
* Build
** multi-agent architectures
** for complex planning and operations use cases
* Develop agents that integrate:  + Optimization models (OR / mathematical programming)  + LLM-based reasoning and tool usage
* Ensure agents align with enterprise data, domain knowledge, and planning constraints###
** 2. Planning & Operations Use Case Delivery
*** Apply Agentic AI to key business problems such as:  + Capacity planning and capital investment optimization  + Production flow optimization and cycle time reduction  + Scenario simulation and decision support
* Translate business requirements into:  + Structured optimization problems  + AI-driven decision workflows###
** 3. AI System Integration & Deployment
*** Integrate agents into:  + Existing SMAI platforms and tools  + Data pipelines and enterprise systems
* Develop reusable frameworks for:  + Agent orchestration  + Knowledge retrieval (RAG / knowledge graph)
* Drive deployment strategy (embedded vs standalone agents depending on use case)###
** 4. Cross-Functional Collaboration
*** Partner with:  + Planning, Operations, and Manufacturing teams  + Data Engineering, MLOps, and Platform teams
* Translate domain knowledge into AI logic and workflows
* Communicate technical solutions to business stakeholders## ##
** Required Skillsets**###
** Core AI / Software Engineering
*** Strong programming skills in
** Python** (preferred), plus familiarity with modern AI frameworks
* Experience with
** LLMs / GenAI ecosystems** (e.g., agent frameworks, tool-use, orchestration)
* Solid understanding of:  + Prompt engineering  + Retrieval-Augmented Generation (RAG)  + Multi-agent systems###
** Optimization & Decision Science (Critical)
*** Strong background in
** Operations Research / Optimization**, including:  + Linear / Mixed Integer Programming  + Heuristics / meta heuristics  + Simulation models
* Experience translating real-world planning problems into mathematical models###
** Agentic AI & System Design
*** Understanding of
** agentic AI principles**:  + Goal-based and utility-based agents  + Planning + reasoning + execution loops
* Experience designing:  + Autonomous workflows  + Multi-step decision systems  + Tool-using AI agents###
** Data & Systems Integration
*** Experience working with:  + Structured and unstructured data  + APIs and enterprise systems integration
* Familiarity with:  + Data pipelines (e.g., Spark, SQL)  + MLOps / deployment pipelines###
** Business & Domain Skills (Preferred)
*** Experience in
** manufacturing, supply chain, or planning domains
*** Strong problem-solving skills with ability to:  + Connect AI solutions to business value  + Quantify impact (capacity, cost, cycle time)##
** Minimum Qualifications
*** Bachelor’s or Master’s degree in:  +…
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