Quality Data Engineer

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Requisition Number: 56821

Corning is one of the world’s leading innovators in materials science. For more than 160 years, Corning has applied its unparalleled expertise in specialty glass, ceramics, and optical physics to develop products that have created new industries and transformed people’s lives.

Corning succeeds through sustained investment in R&D, a unique combination of material and process innovation, and close collaboration with customers to solve tough technology challenges.

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.

Purpose of the Position

As a leading manufacturing and technology company, Corning manufacturing systems generate a vast amount of process and product data through advanced control and measurement systems. The quality data engineer position will be responsible for transforming these valuable data assets into deep insights into the manufacturing process, and help businesses on trouble shooting and performance improvement to assure our long term success on quality output. In parallel, the quality data engineer will work with multifunctional team to support Corning’s Smart Manufacturing strategy with the state-of-art technologies (such as advanced analytics, machine learnings, etc.)

Day To Day Responsibilities

• Through various data analysis by systematic approach (e.g. machine learning/deep learning/statistical approach) across different data source (e.g. SQL, NoSQL, etc.) to identity correlation between manufacturing output and input factors for performance improvement and quality architecture build-up.
• Support division wide quality issue data analysis.
• Integrate and visualize key performance index dashboard through various database.
• Cross region to support plant QA system/Data integration requirement.
  

Education And Experience

• BS/MS degree in Statistic, Mathematics, Computer Science, Information Management, Industrial Engineering or related
  

Required Skills

• Familiar with data analysis technics (e.g. data mining/machine learning)
• Computer: Excellent Excel, Access, power BI
• Statistic tool: Minitab/SAS/SPSS, etc.
• Programming: R, Python, SQL, VBA, Java/C#, etc.
• Good English comprehension in speaking, writing and reading.