Micron Technology

Semiconductor Manufacturing

DATASCIENTISTSMARTMFG&AI

$1000–1500k ~AI est. Taoyuan, Taiwan FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Entry candidates.

The Brief

“DATA SCIENTIST SMART MFG & AI at Micron Technology. Skills: Data Science, Machine Learning, AI, Data Engineering. Employ techniques and theories from mathematics, statistics, semiconductor. Uncover patterns in data”

Industry & Context.

Semiconductor Manufacturing
Problems you'll solve

Data-driven decision making; Root cause analysis

What They're Looking For.

Must Have

B. S. or M. S. in Computer Science, Data Science, Mathematics, Physics or engineering, Desire to grow a career as a Data Scientist, Experience in statistical modeling, Experience in feature extraction and analysis, Experience in supervised/unsupervised/semi-supervised learning, Ability to extract data from different databases via SQL, Ability to apply data cleansing techniques, Ability to apply outlier identification techniques, Ability to apply missing data techniques, Software development skills, Verbal communication skills, Written communication skills, Fluency in Python, Fluency in R, Experience with MSSQL, Experience with Snowflake, Experience with other SQL databases, Experience with Tensorflow, Experience with Porch, Experience with other statistical software, Scripting capability for automating analyses

Nice to Have

Exposure to the semiconductor industry, Experience with Google Cloud Platform(GCP), Experience working with time-series data, Experience working with images, Experience working with semi-supervised learning, Experience working with data with frequently changing distributions, Experience working with Manufacturing Execution Systems (MES), Knowledge or experience with Generative AI solutions, Knowledge or experience with RAG, Knowledge or experience with LLM tuning, Knowledge or experience with agentic problem solving, Experience with RCA related algorithms and modeling, Good knowledge in wafer process and yield analysis, Existing papers from CVPR, Existing papers from NIPS, Existing papers from ICML, Existing papers from KDD

What You'll Do.

Employ techniques and theories from mathematics

Uncover patterns in data

Develop predictive models

Develop actionable insights

Interact with Data Scientists

Interact with Data Engineers

Interact with Business Areas Engineers

Interact with UX teams

Identify questions for data analysis projects

Identify issues for data analysis projects

Improve existing tools

Develop software programs

Develop automated processes

Cleanse large datasets

Integrate large datasets

Evaluate large datasets

Perform exploratory analysis

Perform new solution development

How You'll Work.

Team & Collaboration

Experienced Data Scientists; Data Engineers; Business Areas Engineers; UX teams

Communication Scope

Verbal communication; Written communication

Full 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. 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. **Required qualification:** * B.S. or M.S. in Computer Science, Data Science, Mathematics, Physics or engineering * 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/semi-supervised learning. Exposure to the semiconductor industry is a plus but not a requirement. * Ability 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. * Experience with or desire to learn: * Machine learning and other advanced analytical methods * Fluency in Python and/or R, knowledge or experien

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