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, 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.
Primary Responsibility, but not limited to
Designs, develops, and programs methods, processes, and systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions for client services and continuous improvement. Interacts with stakeholder to identify questions and issues for data analysis and experiments. Develops and codes software programs, algorithms, and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources. Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers.
- Master’s degree in computer science, Computer Engineering, Statistics, Electronics Engineering, or other quantitative fields.
- Strong desire to grow a career as a Data Science Engineer 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.
- Hands-on experience with Scikit-Learn, SciPy, Keras, Pytorch, TensorFlow etc.
- Ability to extract data from different data sources and applying data cleansing, outlier identification, and missing data techniques.
- Familiar with SQL and NoSQL queries.
- Fluency in Python.
- Experience in data visualization using packages such as Tableau, Python echarts/highcharts/matplotlib, etc.
- Strong verbal and written communication skills
- 6-year+ experience in data analytics/market intelligence is a plus.
- Exposure to the semiconductor industry is a plus but not a requirement.
