SR DATA SCIENTIST

1100 Micron SemiAsiaOP Pte Ltd; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

1100 Micron SemiAsiaOP Pte Ltd is looking for a Data Scientist to join our Smart Manufacturing team. You will utilize your expertise in data science to develop solutions that enhance quality and yield in semiconductor manufacturing.

The ideal candidate will have a strong background in Python, machine learning, and statistical modeling. You will work within an international team, driving projects from data acquisition to delivering high-impact solutions.

Qualifications

• At least 3 years of experience in data science related to engineering.
• Strong skills in Python and machine learning frameworks.
• Familiarity with big data platforms.

Responsibilities

• Develop data-science solutions that improve quality and yield.
• Collaborate with teams to enhance manufacturing processes.
• Take ownership of the full pipeline from data acquisition to visualization.

Skills

Data Science

Machine Learning

Python

Statistical Modeling

SQL

Data Visualization

Education

B.S./M.S. degree in Data Science, Computer Science, or Industrial Engineering

Tools

Google Cloud Platform

PyTorch

scikit-learn

Job description

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities.

Role Overview

As a Data Scientist at Micron Technology, Inc., you will report to the Smart Manufacturing and Artificial Intelligence organization. The team defines, develops, and delivers end‑to‑end smart manufacturing solutions integrated across functions of the business. The team applies industry‑leading methodologies in automation, AI, and machine‑learning to enhance Micron’s product development, business, and administrative processes across the company.

Responsibilities and Tasks

• Work with an international team of data scientists, data engineers, software engineers, process and equipment engineers, process integration engineers, yield enhancement engineers, and R&D in a collaborative manner to develop new data‑science solutions that improve quality, yield, reduce deviations, improve manufacturing cycle time, reduce cost, and extend manufacturing capabilities.
• Draw from a broad background of techniques in mathematics, statistics, IT, machine learning, data engineering, and visualization to discover insightful patterns in data.
• Work on projects and develop high‑impact solutions in semiconductor manufacturing, taking ownership of the full pipeline from data acquisition, through building and deploying machine‑learning models to visualization and user delivery.
• Collaborate within an international team and explore and drive value from new data from new sensors or from collaboration with suppliers or other business partners.

Required Qualifications

• B.S./M.S. degree in Data Science, Computer Science, Industrial Engineering or another engineering discipline.
• Ph.D. in related disciplines is a plus.
• At least 3 years of experience in data science within engineering or a related industry with in‑depth knowledge of statistical modeling, machine learning, and deep learning.
• Strong skills in Python and familiarity with at least one machine‑learning framework (e.g., PyTorch, scikit‑learn, etc.).
• Ability to extract data from different databases via SQL and other query languages and perform data cleansing, outlier identification, and missing‑data techniques.
• Experience working in Google Cloud Platform or other big‑data platforms is a plus.
• Strong skills to quickly build prototype solutions based on business requirements and experience deploying data‑science solutions into production environments.
• Excellent communication skills for explaining models, assumptions, and results to non‑technical stakeholders; ability to work independently with internal and external stakeholders to drive ideas to resolution.
• Proactive problem‑solving approach and ownership mindset.
• Passion and interest to learn semiconductor manufacturing to handle terabytes and petabytes of data and solve memory wafer related problems.

Preferred Qualifications

• Experience with generative AI solutions including RAG, LLM tuning, and agentic problem solving.
• Solid experience with root‑cause analysis (RCA) related algorithms and modeling in solving complex industry problems.
• Good full‑stack skills to build end‑to‑end data‑science applications with scalability and robustness.
• Experience working with Manufacturing Execution Systems (MES), or good knowledge of wafer process and yield analysis.
• Existing papers from CVPR, NIPS, ICML, KDD, or other key conferences are a plus, but this is not a research position.

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.