Micron Technology
Technology
SRDATASCIENTISTSMARTMFG&AI
Neural analysis suggests this role is
optimal for Senior candidates.
“SR DATA SCIENTIST SMART MFG & AI at Micron Technology. Skills: Data Science, Statistical modeling, Machine learning, Deep learning. Employ techniques and theories. Uncover patterns in data”
Industry & Context.
Proactive problem-solving approach; Root cause analysis
What They're Looking For.
Must Have
B. S. /M. S. degree or equivalent experience, 3+ years data science experience, In-depth knowledge in statistical modeling, In-depth knowledge in machine learning, In-depth knowledge in deep learning, Python skills, Familiar with 1 ML framework, Extract data via SQL, Apply data cleansing techniques, Apply outlier identification techniques, Apply missing data techniques, Build prototype solutions, Deploy data science solutions to production, Excellent communication skills, Proactive problem-solving approach, Ownership mindset
Nice to Have
PHD in related subject areas, Experience with Generative AI solutions, Experience with RAG, Experience with LLM tuning, Experience with agentic problem solving, Solid experience with RCA algorithms, Solid experience with RCA modeling, Good full stack skills, Experience working with MES, Good knowledge in wafer process, Good knowledge in 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
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
Identify issues for data analysis
Improve existing tools
Develop software programs
Develop automated processes
Cleanse large datasets
Integrate large datasets
Evaluate large datasets
Perform exploratory activities
Perform new solution development
How You'll Work.
Team & Collaboration
Interact with experienced teams
Communication Scope
Explaining models; Explaining assumptions; Explaining results
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./M.S. degree or equivalent experience in Data Science, Computer Science, Industrial Engineering or other engineering field. PHD in related subject areas are preferred. * At least 3 year experience in data science in engineering or related industry with in-depth knowledge in statistical modeling, machine learning, deep learning. Strong skills in python and at least familiar with 1 machine learning framework(like pyTorch, sklearn etc.). * Ability to extract data from different databases via SQL and other query languages and applying data cleansing, outlier identification, and missing data techniques. Experience working in Google cloud platform or other big data platform is a plus. * Strong skills to quickly build prototype solutions based on business requirements, experience deploying data science solution into production environments. * Excellent communica
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