Data Scientist, SMAI (FE Planning)

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.

Responsibilities include, but not limited to:

• Partner with stakeholders from Micron manufacturing, planning and supply chain departments to identify, analyze, and solve complex business problems.
• Design, develop, and deploy digital twin solutions using Operations Research, mathematical optimization, and Discrete Event Simulation techniques.
• Design and develop production-grade applications, including data pipelines, data cleaning, modeling engines, APIs, and user-interface applications.
• Transform large and diverse datasets into actionable insights, decision-support tools, and scalable software solutions.
• Drive deployment, adoption, benchmarking, and continuous improvement of solutions across Micron's global manufacturing sites.
• Collaborate with Data Scientists, Product Owners, AI Engineers and domain experts throughout the solution lifecycle.
• Integrates AI-assisted tools and insights into daily work to improve efficiency, quality, or effectiveness, exercising sound judgment and complying with organizational standards and legal requirements.
• Contributes to a culture of continuous improvement by identifying, testing, and sharing AI-enabled enhancements within one’s scope of work.

Minimum Qualifications & Skills Required:

• Bachelor's degree in Computer Science, Operations Research, Industrial Engineering, Applied Mathematics, Data Science, Engineering, or related quantitative disciplines with demonstrated strong programming and modeling capabilities.
• Hands-on experience in Operations Research, Discrete Event Simulation, mathematical optimization, decision science, with demonstrated ability to develop and implement practical solutions for operational problems.
• Past experience developing software applications using Python, SQL, Java, C/C++, C#, JavaScript, HTML/CSS, or similar technologies, with strong full-stack development capabilities.
• Knowledge of modern software development practices including APIs, Git, CI/CD, cloud platforms, ETL/data pipelines, and AI-assisted development tools.
• Experience in manufacturing, supply chain, logistics, planning, semiconductor operations, or related industrial environments is a plus.
• Strong problem-solving skills with structured and logical thinking approaches, effective communication skills, and the ability to work independently in ambiguous and fast-changing environments.