Digital Transformation Intern

The company built on breakthroughs. ​  
Join us.​                            

Corning is one of the world’s leading innovators in glass, ceramic, and materials science. From the depths of the ocean to the farthest reaches of space, our technologies push the boundaries of what’s possible.  ​  

How do we do this? With our people. They break through limitations and expectations – not once in a career, but every day. They help move our company, and the world, forward. ​  

​At Corning, there are endless possibilities for making an impact. You can help connect the unconnected, drive the future of automobiles, transform at-home entertainment, and ensure the delivery of lifesaving medicines. And so much more.​   

​Come break through with us.  

Corning’s Display Technologies segment manufactures glass substrates for active matrix liquid crystal displays (“LCDs”) that are used primarily in LCD televisions, notebook computers and flat panel desktop monitors.

Day to Day Responsibilities:

• Designs, develops and programs methods, processes, and systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions for client services and product enhancement.
• Interacts with product and service teams to identify questions and issues for data analysis and experiments.
• Develops and codes software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources.
• Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments.
• Follows standard practices and procedures in analyzing situations or data from which answers can be readily obtained.

Education & Experience:

• Undergraduate in their second year or above in Statistics, Mathematics, Computer Science, Information Management, Industrial Engineering, or related disciplines.
• One years or above experiences in data analytics field

Required Skills:

• Familiar with data analysis technics (e.g. data mining/machine learning)
• Computer: Excellent Excel, Access, power BI
• Programming: Python, SQL, C++
• Excellent communication skill in cross-department project and collaborations

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. To request an accommodation, please contact us at accommodations@corning.com.