Sr. Data Scientist, Innovation Engineering Technology

What You'll Do

• Develop AI Technology: Advance AI libraries and algorithms by integrating domain expertise to create efficient, accurate tools that bridge current AI capabilities with business needs.
• Enable Engineering Excellence: Support initiatives that improve product engineering through root cause analysis, yield optimization, and increased engineer productivity.
• Perform End-to-End Data Analysis: Analyze comprehensive datasets from front-end and back-end testing, including product and manufacturing outcomes.
• Build Scalable Systems: Design and implement software programs, algorithms, and automated workflows to clean, unify, and analyze large, diverse datasets.
• Drive Innovation: Engage in exploratory research and develop creative solutions that foster innovation and operational efficiency.
• What You’ll Do Collaborate across teams to incorporate AI tools into engineering processes.
• Transform raw data into meaningful insights that inform decision-making.
• Continuously explore new technologies and methodologies to improve data-driven solutions.
• Qualifications Familiarity with AI tools from Google, Microsoft, and OpenAI, and ability to integrate these tools with big data for advanced analysis.
• Solid experience in statistical modeling, feature extraction, and machine learning techniques (supervised, unsupervised, semi-supervised learning).
• Exposure to the semiconductor industry is a plus but not required.
• Proficiency in extracting data from various databases using SQL and other query languages, applying data cleansing, outlier detection, and missing data handling techniques.
• Knowledge of using AI to optimize SQL queries is a strong advantage.
• Strong verbal and written communication skills in English.
• Preferred Skills & Experience Hands-on experience or willingness to learn machine learning and advanced analytical methods.
• Proficiency in Python and/or R.
• Familiarity with JavaScript, AngularJS 2.0, Tableau, and Power BI.
• Experience with time-series data, image data, semi-supervised learning, and datasets with frequently changing distributions is a plus.
• Experience with Manufacturing Execution Systems (MES) is a plus.
• About Micron Technology, Inc.
• We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life for 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 request assistance with the application process and/or for reasonable accommodations, please contact at hrsupport_taiwan@micron.com .
• 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.
• Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.