DATA SCIENTIST, SMART MFG & AI
Summary
Build AI and statistical models to optimize semiconductor manufacturing processes, improve equipment efficiency, and automate workflows using machine learning and data analysis.
Job Summary
As a Data Science Engineer at Micron, you will employ techniques and theories drawn from mathematics, statistics, semiconductor physics, materials science, and information technology to uncover patterns in data and develop predictive models and actionable insights. You will collaborate with Data Scientists, Data Engineers, and Business Area Engineers to identify questions and issues for data analysis projects and improve existing tools.
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.
Preferred 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.
Equal Employment Opportunity
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.