Sr. Data Scientist, SMAI

Our vision is to transform how the world uses information to enrich life for all.

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.

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.

About Micron Technology, Inc.

We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich lifefor all. With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron® and Crucial® brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities - from the data center to the intelligent edge and across the client and mobile user experience.

To learn more, please visit micron.com/careers

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.

To request assistance with the application process and/or for reasonable accommodations,please contact [email protected]

Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.

Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.

AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification.

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