Senior Data Scientist - End-to-End ML for Semiconductor

Micron Technology, Inc; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Micron Technology, Inc. in Singapore seeks a Sr. Data Scientist for the SMAI team to develop data science solutions spanning data acquisition, model development, deployment, and visualization in semiconductor manufacturing.

You will collaborate with an international team of engineers and researchers to improve quality, yield, and manufacturing efficiency. The role requires 3+ years in data science within manufacturing or engineering, strong Python skills, and experience with ML frameworks such

Qualifications

• BS/MS in Data Science, CS, or engineering; PhD a plus
• 3+ years in data science in engineering with ML/DL expertise
• Strong Python skills; experience with PyTorch or scikit-learn
• SQL and data cleansing, handling missing data; GCP or big data platforms a plus
• Excellent communication and ability to work with stakeholders

Responsibilities

• Collaborate with international team to develop data science solutions that improve quality and yield
• Own full pipeline from data acquisition to deploying ML models and visualization
• Build and deploy prototype data science solutions for production environments
• Explain models and results clearly to non-technical stakeholders
• Explore new data sources and sensors in collaboration with partners to create value

Skills

Python

Machine learning

Deep learning

SQL

Data visualization

Education

B.S./M.S. in Data Science or related field

PhD in related disciplines is a plus

Tools

PyTorch

scikit-learn

Google Cloud Platform

Big data platforms

Job description

Micron Technology, Inc. in Singapore seeks a Sr. Data Scientist for the SMAI team to develop data science solutions spanning data acquisition, model development, deployment, and visualization in semiconductor manufacturing.

You will collaborate with an international team of engineers and researchers to improve quality, yield, and manufacturing efficiency. The role requires 3+ years in data science within manufacturing or engineering, strong Python skills, and experience with ML frameworks such