Micron is a global leader in memory and storage, powering AI and compute-intensive applications from cloud to edge with innovative semiconductor solutions.
About the role
The Data Science team employs advanced analytics, machine learning, and AI technologies to improve semiconductor manufacturing performance and decision-making. By combining statistical methods, engineering expertise, and AI-enabled solutions, the team transforms complex manufacturing data into actionable insights that drive operational excellence and innovation across Micron. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- 0-2 years of relevant experience through coursework, research, internships, academic projects, hackathons, or data science competitions
- Experience with Python for data analysis, including libraries such as Pandas, NumPy, or similar tools, and basic SQL for data extraction and preparation
- Knowledge of statistics, machine learning fundamentals, hypothesis testing, regression, clustering, PCA, and data analysis methodologies gained through coursework or projects
More about this role
Our vision is to transform how the world uses information to enrich life for all .
Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.
The Data Science team employs advanced analytics, machine learning, and AI technologies to improve semiconductor manufacturing performance and decision-making. By combining statistical methods, engineering expertise, and AI-enabled solutions, the team transforms complex manufacturing data into actionable insights that drive operational excellence and innovation across Micron.
As a Data Science Intern, you will work at the intersection of statistical analysis, machine learning, and AI agents to solve real-world semiconductor manufacturing challenges. You will apply time-series analytics, change-point detection, machine learning, and large language model (LLM) technologies to identify important patterns in manufacturing data and develop AI-enabled solutions that help engineers make better decisions.
- Apply statistical and machine learning techniques, including time-series analysis,...
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