As a Data Scientist 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, and UX teams to identify questions and issues for data analysis projects and improvement of existing tools. In this position, you will help develop software programs, 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.

In This Role You Will Have The Following Responsibilities

• Strong desire to grow a career as a Data Scientist in highly automated industrial manufacturing doing analysis and machine learning on terabytes and petabytes of diverse datasets and to deliver meaningful end-to-end solutions for users.
• Experience in the areas: computer vision, statistical modeling, deep learning, generative AI, feature extraction and analysis, supervised/unsupervised/semi-supervised learning. Exposure to the semiconductor industry is a plus but not a requirement.
• Design and deploy computer vision models for object detection, image segmentation and anomaly detection.
• Stay abreast of the latest research and advancements in machine learning and computer vision and apply them to real-world problems.
• Ability to extract data from different databases via SQL and other query languages and applying data cleansing, outlier identification, and missing data techniques.
• Coordinate production deployment activities, including cross-functional communications, approval and execution of changes in live environments.
• Strong verbal and written communication skills.

Required Qualifications and Technical Experience

• Master/PHD Degree in Operation Research, Industry Engineering, Statistics with a strong academic foundation in linear programming and optimization
• Minimum 3 years of experience in operation research/optimization, preferably has working experience in the semiconductor industry and have applied optimization techniques in their daily work
• Strong foundation in Linear programming optimization modeling, advanced analytics, and machine learning techniques.
• Ability to extract data from multiple databases using SQL and other query languages, including experience with data cleansing, outlier detection, and handling missing data.
• Strong proficiency in Python and linear programming, SQL, C#
• Proficiency in data visualization tools such as Tableau, Power BI, and related techniques.
• Proficiency in web development technologies, including Angular, FastAPI, and Docker.