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Intern - Data Science (DEG)

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Date: Feb 12, 2019

Location: Boise, ID, US

Company: Micron

 

Req. ID: 129797 

Micron Technology’s vision is to transform how the world uses information to enrich life and our commitment to people, innovation, tenacity, collaboration, and customer focus allows us to fulfill our mission to be a global leader in memory and storage solutions. This means conducting business with integrity, accountability, and professionalism while supporting our global community.

 

Are you experienced at applying machine learning to Big Data never-before-solved problems in industrial manufacturing at scale? We’re looking for a Data Scientist capable of using machine learning and statistical techniques to craft state-of-the-art data products (decision support and decision automation data systems) using extensive and diverse Big data sets from industrial manufacturing.

 

Responsibilities include, but not limited to:

  • You will execute techniques and theories drawn from areas of mathematics, statistics, and information technology to uncover patterns in data
  • Develop predictive models, actionable insights, and solutions based on data discovery
  • You will work with a team of Data Scientist, Data Engineering, Business area engineers, and UX teams to identify questions and issues for data analysis projects
  • Build software programs, algorithms and/or automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources

 

Minimum Qualifications:

  • You have a dream to grow your career as 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.
  • You are able 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.
  • Deep understanding of machine learning and other advanced analytical methods
  • You are fluent in Python and/or R

 

Preferred Skills:

  • Experience using pySpark and/or SparkR and/or SparklyR
  • You have an understanding of Hadoop (Hive, Spark, HBase) and/or Teradata and SQL
  • Optional: Tensorflow, and/or other statistical software including scripting capability for automating analyses
  • Optional: SSIS, ETL
  • Optional: javascript, AngularJS 2.0, Tableau

 

Education Requirements

  • You are pursuing a B.Sc. degree in applied mathematics, mathematics, physics, computer science, or statistics perferred with the intentions of completing a MS or Ph.D. in one of these fields.
  • Graduation date may not be before September 1, 2019

 

About Us

As the leader in innovative memory solutions, Micron is helping the world make sense of data by delivering technology that is transforming how the world uses information. Through our global brands — Micron, Crucial and Ballistix — we offer the industry’s broadest portfolio. We are the only company manufacturing today’s major memory and storage technologies: DRAM, NAND, NOR and 3D XPoint™ memory. Our solutions are purpose built to leverage the value of data to unlock financial insights, accelerate scientific breakthroughs and enhance communication around the world.

 

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.

For US Sites Only: To request assistance with the application process and/or for reasonable accommodations, please contact Micron’s Human Resources Department at 1-800-336-8918 or 208-368-4748 and/or submit: Job Information Request Form to: TJA@micron.com.


Keywords:  Boise || Idaho (US-ID) || United States (US) || DEG (DRAM Engineering Group) || Entry || Internship || Engineering || Not Applicable ||
 


Nearest Major Market: Boise
Nearest Secondary Market: Meridian

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