Data Scientist - Planning & Operation

Key Skills

Aartificial intelligence, Algorithms, Analytical and Problem solving, AngularJS, Data Analytics, Data science techniques, Data Visualization, Effective communication skills, Google Cloud Platform (GCP), LangChain, Large Language Models - LLMs, Machine learning techniques, Python Programming, UI design, UX design

Job Description

As a Data Science Engineer at Micron, you will employ techniques and theories drawn from areas of 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 interact with experienced Data Scientists, Data Engineers, Business Areas Engineers to identify questions and issues for data analysis projects and improvement of existing tools. In this position, you will help develop application, algorithms and/or automated processes to cleanse, integrate, and evaluate large datasets from multiple disparate sources. There will be significant opportunities to perform exploratory and new solution development activities.

Responsibilities:

• Develop and implement AI/ML models to enhance semiconductor manufacturing processes.
• Manage the end-to-end data science project lifecycle, including data collection and cleaning, model development, and UX/UI design.
• Collaborate with multi-functional teams to integrate AI/ML solutions into production.
• Communicate complex data insights in a clear and understandable manner to both technical and non-technical partners.

Qualifications & Skills:

• Proven understanding of AI/ML algorithms and data structures.
• Proficiency in Python or other data science languages.
• Experience with data visualization tools and UX/UI design.
• Excellent problem-solving skills and the ability to work independently.
• Strong interpersonal skills and the ability to work in a team environment.
• Proficiency in Python, Typescript, Angular 16, and Google Cloud Platform (GCP).
• Publications in key conferences such as CVPR, NIPS, ICML are a plus, but this is not a research position.

Education and Experience:

• Bachelor's or Master's degree or equivalent experience in Data Analytics, Mathematics, Statistics, Computer Science, or Industrial Engineering.
• Experience in statistical modeling, feature extraction and analysis, supervised/unsupervised/semi-supervised learning.
• Familiarity with the semiconductor industry is a plus.
• Experience working with LLM, LangChain, time-series data, and data with frequently changing distributions is a plus.
• Experience working with Manufacturing Execution Systems (MES), OEE is a plus.

About Micron Technology, Inc.

We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life for all. With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron® and Crucial® brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities — from the data center to the intelligent edge and across the client and mobile user experience.

To learn more, please visit micron.com/careers

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.

To request assistance with the application process and/or for reasonable accommodations, please contact at hrsupport_tw@micron.com.

Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.

Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.