Data Analytics Engineer (RDSS) (Taichung, TW, 407)

<div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:16.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px">Role Purpose</H2> </div><div><p><span style="font-family:arial, helvetica, sans-serif">As a leader in advanced manufacturing, Corning leverages state-of-the-art industrial data streams generated from manufacturing and process systems globally. The Data Analytics Engineer will drive the development and implementation of AI and ML solutions, transforming vast data sets into actionable manufacturing intelligence that supports Corning's Manufacturing 4.0 strategy. The position will focus on developing custom machine learning models, leveraging deep learning, NLP, and computer vision techniques to optimize manufacturing processes, enhance product quality, and introduce innovative solutions for long-term business success. The Engineer will work alongside a global, multidisciplinary team and collaborate closely with business stakeholders.</span> </p></div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:16.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px">Key Responsibilities</H2> </div><div><ul> <li style="font-family:arial, helvetica, sans-serif"><span style="font-family:arial, helvetica, sans-serif">Lead and execute AI/ML-driven projects in collaboration with cross-functional teams. </span></li> <li style="font-family:arial, helvetica, sans-serif"><span style="font-family:arial, helvetica, sans-serif">Identify opportunities for AI/ML applications within process and product improvement initiatives.</span></li> <li style="font-family:arial, helvetica, sans-serif"><span style="font-family:arial, helvetica, sans-serif">Design, prototype, and deploy predictive, prescriptive, and descriptive AI/ML solutions for critical manufacturing and business challenges.</span></li> <li style="font-family:arial, helvetica, sans-serif"><span style="font-family:arial, helvetica, sans-serif">Work with stakeholders to translate complex manufacturing and business requirements into data and algorithmic problems.</span></li> <li style="font-family:arial, helvetica, sans-serif"><span style="font-family:arial, helvetica, sans-serif">Cleanse, transform, and prepare large and diverse manufacturing datasets for model training and analysis. </span></li> <li style="font-family:arial, helvetica, sans-serif"><span style="font-family:arial, helvetica, sans-serif">Explore and evaluate state-of-the-art ML and deep learning methods (e.g., supervised/unsupervised/reinforcement learning, LLMs, CNNs, RNNs, NLP) and apply the most appropriate for the business context. </span></li> <li style="font-family:arial, helvetica, sans-serif"><span style="font-family:arial, helvetica, sans-serif">Implement data pipelines, model monitoring, and visualization frameworks to enable and democratize analytics and AI usage across teams. </span></li> <li style="font-family:arial, helvetica, sans-serif"><span style="font-family:arial, helvetica, sans-serif">Document work in technical reports, code repositories, and presentations. </span></li> <li style="font-family:arial, helvetica, sans-serif"><span style="font-family:arial, helvetica, sans-serif">Communicate project progress and findings with business and technical audiences, ranging from executive summaries to deep-dive technical sessions. </span></li> <li style="font-family:arial, helvetica, sans-serif"><span style="font-family:arial, helvetica, sans-serif">Establish and maintain knowledge exchange with external academic and industry leaders to ensure Corning's AI/ML solutions remain innovative and competitive. </span></li> <li style="font-family:arial, helvetica, sans-serif"><span style="font-family:arial, helvetica, sans-serif">Project involved with: AI/ML solutions and analytics support for all Corning business units, spanning process optimization, predictive maintenance, quality control, yield analysis, image and signal processing, and more. </span></li> </ul></div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:16.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px">Experiences/Education - Required</H2> </div><div><ul> <li style="font-family:arial, helvetica, sans-serif"><span style="font-family:arial, helvetica, sans-serif">Master's degree (PhD preferred) in Computer Science, Statistics, Applied Mathematics, Data Science, Industry Engineering, Electrical Engineering, or equivalent, specializing in AI/ML. </span></li> <li style="font-family:arial, helvetica, sans-serif"><span style="font-family:arial, helvetica, sans-serif">Preferred relevant industry experience in end-to-end AI/ML project development and industrial application.</span></li> <li style="font-family:arial, helvetica, sans-serif"><span style="font-family:arial, helvetica, sans-serif">Proven track record in manufacturing analytics, process control or lab </span></li> </ul></div></div></div>