Data Scientist, Innovation Engineering Technology at Micron Technology

Taichung, , Taiwan -

Full Time

Start Date

Immediate

Expiry Date

02 Mar, 26

Salary

0.0

Posted On

02 Dec, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analysis, AI Technology, Statistical Modeling, Machine Learning, SQL, Python, R, Data Cleansing, Feature Extraction, Big Data, Exploratory Research, Engineering Excellence, Automated Workflows, Collaboration, Manufacturing Execution Systems, Time-Series Data

Industry

Semiconductor Manufacturing

Description

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. 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. 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. 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.

Responsibilities

Develop AI technology by advancing libraries and algorithms to meet business needs. Perform end-to-end data analysis and build scalable systems to analyze large datasets.