Job Description

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.

Responsibilities and Tasks

  • Work with smart manufacturing strategy leads to develop and deploy smart manufacturing applications to all Micron Fabs.
  • Influence and develop data science strategies and applications
  • Provide technical consulting and hands-on assistance to Fab area teams to create and/or identify best solutions, troubleshoot existing solutions, and deploy new solutions.
  • Strong desire to grow career as Data Scientist in highly automated industrial manufacturing doing analysis and machine learning on terabytes and petabytes of diverse datasets. 
  • Ability to extract data from different databases via SQL and other query languages and applying data cleansing, outlier identification, and missing data techniques.
  • Understanding of Big Data Engineering/processing, Business Intelligence and Advanced analytics
  • Knowledge in Cloud based data engineering and Machine Learning Model
  • Knowledge in building APIs for application integration.
  • Knowledge in the areas: statistical modeling, feature extraction and analysis, supervised/unsupervised/semi-supervised learning.
  • Strong software development skills.
  • Strong UI/UX design skills
  • Strong knowledge in Web Technologies
  • Experience with various frameworks and processes, such as Agile
  • Data Analysis and Validation skills

    • Skills in:

  • Programming Fluency in Python and/or R
  • Expertise in Angular, Javascript and CSS
  • Knowledge in Data Science, Machine learning and other advanced analytical methods
  • Knowledge in Dotnet and C# is added advantage.
  • Knowledge in Hadoop stack (Hive, HDFS, HBase and Spark)
  • Optional: Understanding of pySpark and/or SparkR and/or SparklyR
  • Optional: Knowledge in Tensorflow, and/or other statistical software including scripting capability for automating analyses
  • Optional: 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

    • Qualifications

  • Master’s degree or at least 6 years of work experience in data science.
  • Hand-on experience in Data analytics, Data Engineering and Full Stack application development. Cloud Knowledge (GCP) is added Advantage.
  • Superb interpersonal skills with demonstrable ability to effectively lead and present to small and large groups. Work multi-functionally with peers and senior and mid-level management.
  • Peer leadership and relationship management skills,
  • Strong analytical and problem-solving skills
  • Highly organized and ability to remain flexible to the changing business needs.
  • Outstanding customer focus with ability to projectized and prioritize work you're doing.

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