Data Scientist, SMAI

Your tasks

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.

Requirements

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.
• Ability to apply baseline digital fluency and role‑appropriate AI literacy to use AI‑enabled tools responsibly and effectively for research, analysis, content creation, problem‑solving, operational tasks, and achieving business outcomes.