Data Scientist

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.

Responsibilities :

Engage with expert Data Scientists, Data Engineers, Business Area Engineers, and UI / 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 analysis and machine learning on terabytes and petabytes of diverse datasets in a highly automated industrial manufacturing environment

Statistical modeling, feature extraction and analysis in a supervised / unsupervised / semi-supervised learning environment

Extract data from different databases via SQL and other query languages and apply data cleansing, outlier identification, and missing data techniques

Minimum Qualifications :

Ability to articulate complex AI concepts in business terms and present analysis effectively to key partners

Proficient in Python, relational database technologies such as Snowflake, MySQL, and lightweight user interfaces like Streamlit, Tableau

Image analysis, Neural Networks & Nature Language Process (NLP)

Strong software development skills

Master's Degree or PhD in related field

Preferred Qualifications :

GenAI (LLM, RAG, Agent etc.)

Javascript, AngularJS 2.0, and Tableau

Experience working with time-series data

Exposure to semiconductor industry

Existing papers from CVPR, NIPS, ICML, KDD, and other key conferences, but this is not a research position