Employ techniques and theories drawn from areas of mathematics, statistics, semiconductor physics, materials science, and information technology to uncover patterns in data.
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.
Help develop software programs, algorithms and/or automated processes to cleanse, integrate, and evaluate large datasets from multiple disparate sources.
Perform exploratory and new solution development activities.

B.S. or M.S. in Computer Science, Data Science, Mathematics, Physics or engineering
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.
Experience in the areas: statistical modeling, feature extraction and analysis, supervised/unsupervised/semi-supervised learning.
Exposure to the semiconductor industry is a plus but not a requirement.
Ability to extract data from different databases via SQL and other query languages and applying data cleansing, outlier identification, and missing data techniques.
Strong software development skills.
Strong verbal and written communication skills.
Experience with or desire to learn: Machine learning and other advanced analytical methods.
Fluency in Python and/or R, knowledge or experience with Javascript, AngularJS 2.0, Tableau MSSQL, snowflake and/or another SQL databases
Tensorflow/Porch, and/or other statistical software including scripting capability for automating analyses.
Experience with Google Cloud Platform(GCP) is a plus.
Experience working with time-series data, images, semi-supervised learning, and data with frequently changing distributions is a plus.
Experience working with Manufacturing Execution Systems (MES) is a plus.

AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification.
Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc. Micron Privacy Policy.

Data Scientist – Smart Manufacturing, AI

Key skills