Senior Data Scientist, Innovation Engineering Technology

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

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• 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.

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. As a Data Scientist at Micron, you will leverage advanced techniques from mathematics, statistics, semiconductor physics, materials science, and information technology to uncover patterns in complex datasets. Your work will drive the development of predictive models, actionable insights, and innovative solutions that enhance business productivity.