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Data Scientist 1
2 weeks ago
Our vision is to transform how the world uses information to enrich life for _all_
.
Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.
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 work well with 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.Responsibilities include, but not limited to:
- 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/semisupervised learning. Exposure to the semiconductor industry would be advantages.
- Strong software development skills.
- Strong verbal and written communication skills.
- Experience with or desire to learn:
- Machine learning and other sophisticated analytical methods
- Proficiency in Python and/or R
- Hadoop (Hive, Spark, HBase)
- Teradata and/or another SQL databases
- Tensorflow, and/or other statistical software including scripting capability for automating analyses
- SSIS, ETL
- Javascript, AngularJS 2.0, Tableau
- Experience with timeseries data, images, semisupervised learning, and data with frequently changing distributions would be advantages.
- Experience working with Manufacturing Execution Systems (MES) is a plus
- Existing papers from CVPR, NIPS, ICML, KDD, and other key conferences are plus, but this is not a research position
Education:
- B.S. or equivalent experience in Mathematics, Computer Science, Data Science and Physics.
- M.S. or Ph.
About Micron Technology, Inc.
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.
Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.
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