- Location
- SG
- Type
- Full-time
- Department
- Education
- Experience
- 3+ years
- Education
- PhD
- Source
- Eightfold
Description
Req. ID:
JR106126 Sr. Data Scientist, SMAI
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.
Join an inclusive team passionate about one thing: 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. Because doing so can fuel the very innovation we are pursuing.
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 solution, 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, improve yield, reduce deviations, improve manufacturing cycle time, reduce cost, and extend manufacturing capabilities.
- Draw from a broad background of techniques in mathematics, statistics, information technology, machine learning, data engineering, and visualization to discover insightful patterns in data
- Work on projects and develop solutions of high impact in semiconductor manufacturing, taking (in collaboration with other teams) ownership of full pipeline from data-acquisition, through building and deploying machine learning models to visualization to user.
- Collaborate within an international team of data scientists, data engineers, software engineers, process and equipment engineers, process integration engineers, yield enhancement engineers, and R&D
- Explore and drive value from new data from new sensors or becoming available collaboration with suppliers or other business partners
Required qualification:
- B.S./M.S. degree in Data Science, Computer Science, Industrial Engineering or other engineering discipline. PHD in related disciplines is a plus.
- 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 communication skills for explaining models, assumptions, and results to non-technical stakeholders, able 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 deal with terabytes and petabytes of data to solve memory wafer related problems, enjoy working in diverse environment.
Preferred qualification:
- Experience with Generative AI solutions including RAG, LLM tuning, agentic problem solving. Solid experience with RCA (root cause analysis) related algorithms and modeling in solving complex industry problems is a plus.
- Good full stack skills to build end-to-end data science application with scalability and robustness is preferred.
- Experience working with Manufacturing Execution Systems (MES), or good knowledge in wafer process and yield analysis is a plus
- Existing papers from CVPR, NIPS, ICML, KDD, and other key conferences are plus, but this is not a research position.
Job Profile(s):
Data Scientist 3
Relocation level: (TBD)
Before Getting Started
Please review Micron’s Internal Job Application Policy on your regional PeopleNow Career Opportunities page before searching and applying for jobs. Note in particular that:
- Hiring managers may view your performance appraisals, original resume, transcripts or other performance-related documentation in your personal file. This information will be held in confidence.
- If you are selected to interview for a position, you must notify your direct supervisor before participating in the interview process.
As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on Benefits | Micron Technology, Inc
Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws.