Data Scientist, SMAI (FE Planning)

About the role

Micron is hiring a Data Scientist for its SMAI (FE Planning) team. The role works with stakeholders from Micron's manufacturing, planning and supply chain departments to identify, analyse and solve complex business problems, and to design and deploy digital twin solutions based on Operations Research, mathematical optimisation and discrete event simulation.

Key responsibilities

• Partner with stakeholders from manufacturing, planning and supply chain to solve complex business problems.
• Design, develop and deploy digital twin solutions using Operations Research, mathematical optimisation and Discrete Event Simulation.
• Build production-grade applications such as data pipelines, data cleaning, modelling engines, APIs and user interfaces.
• Turn large, diverse datasets into actionable insights, decision-support tools and scalable software.
• Drive deployment, adoption, benchmarking and continuous improvement of solutions across Micron's global manufacturing sites.
• Work with Data Scientists, Product Owners, AI Engineers and domain experts throughout the solution lifecycle.
• Use AI-assisted tools responsibly and share AI-enabled improvements with colleagues.

Required profile

• Bachelor's degree in Computer Science, Operations Research, Industrial Engineering, Applied Mathematics, Data Science, Engineering or a related quantitative discipline, with strong programming and modelling capabilities.
• Hands-on experience in Operations Research, Discrete Event Simulation, mathematical optimisation and decision science, with practical solutions for operational problems.
• Past experience building software applications with Python, SQL, Java, C/C++, C#, JavaScript, HTML/CSS or similar, with strong full-stack capabilities.
• Experience in manufacturing, supply chain, logistics, planning, semiconductor operations or related industrial environments is a plus.
• Strong problem-solving, communication and independent work skills, and the ability to use AI tools responsibly.

Required skills

• Knowledge of APIs, Git, CI/CD, cloud platforms, ETL/data pipelines and AI-assisted development tools.
• Programming and modelling skills.