水平: Entry level

工作类型: Full-time

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工作内容

Requisition Number: 55342

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

Day To Day Responsibilities
  • Dealing with data wrangling process with proficient ETL(Extract/Transform/Load) skills.
  • Building up the data pipeline for analytic models.
  • Using descriptive statistics to get a big-picture view of their data.
  • Analyzing interesting trends found in the data.
  • Presenting the results of a technical analysis to business clients or internal teams.
  • Evaluating statistical models to determine the validity of analyses.
  • Using machine learning to build better predictive algorithms.
  • 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. Required Skills:
  • Familiar with data analysis technics (e.g. data mining/machine learning)
  • Computer: Excellent Excel, Access, Power BI
  • Programming: R, Python, SQL, VBA, Java (Hadoop is a plus)
  • Statistic tool: Minitab/SAS/SPSS
  • Excellent communication skill in cross-department project and collaborations.
  • Good English comprehension in speaking, writing and reading. Education:
  • BS/MS degree in Statistic, Mathematics, Computer Science, Information Management, Industrial Engineering or related disciplines Experience:
  • One years or above experiences in data analytics field
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最后期限: 20-12-2024

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