Requisition Number: 67526

 

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: Dealing with data wrangling process with proficient ETL (Extract/ Transform/ Load) skills. Building up the data pipeline for analytic models. Presenting the results of a technical analysis to business and internal clients. Evaluating statistical/machine learning models to determine the validity of analytics result. Testing and continuously improving the accuracy of machine learning models. Creating visualizations and dashboards to help the company interpret and make decisions with the data. Provide constructive recommendation to engineering team based on the data driven insights.
  Required Skills: Familiar with data analysis technics and theorem (e.g. statistics/ machine learning/ deep learning) Programming: 1. Fluent in Python or C#, SQL  2. Familiar with web framework such as Flask and Django 3. Experience with HTML, JavaScript, CSS and jQuery Experience in Hadoop/ AWS/ Databricks/ ML Flow is a plus. Excellent communication skill in cross-department project and collaborations Good English comprehension in speaking, writing and reading. Proactive self-learning is a must in high dynamic working environment.
  Education:  BS/MS degree in Statistic, Mathematics, Computer Science, Information Management, Industrial Engineering, or related disciplines Experience: 3+ years of data analysis experience. Proven experience in end-to-end digital transformation projects, with a deep understanding of manufacturing pain points and data application scenarios. Project management.  
 

 

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.