Data Scientist, SMAI

Responsibilities include, but not limited to

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Partner with stakeholders from Micron manufacturing, planning and supply chain departments to identify, analyze, and solve complex business problems.

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Design, develop, and deploy digital twin solutions using Operations Research, mathematical optimization, and Discrete Event Simulation techniques.

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Design and develop production-grade applications, including data pipelines, data cleaning, modeling engines, APIs, and user-interface applications.

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Transform large and diverse datasets into actionable insights, decision-support tools, and scalable software solutions.

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Drive deployment, adoption, benchmarking, and continuous improvement of solutions across Micron's global manufacturing sites.

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Collaborate with Data Scientists, Product Owners, AI Engineers and domain experts throughout the solution lifecycle.

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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.

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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

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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.

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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.

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Past experience developing software applications using Python, SQL, Java, C/C++, C#, JavaScript, HTML/CSS, or similar technologies, with strong full-stack development capabilities.

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Knowledge of modern software development practices including APIs, Git, CI/CD, cloud platforms, ETL/data pipelines, and AI-assisted development tools.

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Experience in manufacturing, supply chain, logistics, planning, semiconductor operations, or related industrial environments is a plus.

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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.

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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.