DATA SCIENTIST, SMART MFG & AI

As a Data Science Engineer at Micron, you will employ techniques from mathematics, statistics, semiconductor physics, materials science, and information technology to uncover patterns in data from which predictive models, actionable insights, and solutions can be developed. You will work with Data Scientists, Data Engineers, and Business Area Engineers to identify questions for data analysis projects and improve existing tools. In this position, you will develop software programs, algorithms, and automated processes to cleanse, integrate, and evaluate large datasets from multiple sources. Significant opportunities exist to perform exploratory and solution development activities.

Responsibilities

• Improve equipment efficiency, factory productivity, and MaxOut performance through data science and AI solutions.
• Develop machine learning, simulation, and optimization models for manufacturing applications.
• Analyze manufacturing, equipment, and process data to identify improvement opportunities and drive operational excellence.
• Build scalable analytics products, dashboards, and automated workflows.
• Partner with cross‑functional engineering teams to deliver high‑impact manufacturing solutions.
• Present insights and recommendations to stakeholders to enable data‑driven decision making.

Requirements

• Minimum Bachelor's degree in computer science, data science, statistics, mathematics, or engineering.
• Strong desire to grow a career as a Data Scientist in highly automated industrial manufacturing.
• Experience in statistical modeling, feature extraction and analysis, and various machine learning methods (supervised, unsupervised, semi‑supervised).
• Strong communication skills (written, verbal, and presentation).
• Strong software development skills.
• Experience with advanced analytics or AI‑driven analysis for manufacturing is preferred.
• Leverage AI‑enabled tools and technologies to improve productivity, automate workflows, and accelerate solution delivery.

Required Soft Skills

Effective communicator and collaborator, capable of bridging the gap between data science and traditional semiconductor engineering teams. Analytical and problem‑solving mindset with a demonstrated commitment to quality and continuous improvement in a fast‑paced environment. Proven ability to work independently, manage multiple priorities, and deliver high‑quality results.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.