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Statistical Engineer

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Date: Nov 19, 2021

Location: Corning, NY, US, 14831

Company: Corning

Requisition Number: 50070

 

Corning is the world leader in specialty glass and ceramics, building and manufacturing keystone components that enable high-technology systems. Corning’s history is filled with breakthrough technologies that have played a meaningful role in the way the world works. We thrive on solving difficult, commercially relevant problems through a creative and collaborative research and development process.

 

Corning succeeds through sustained investment in R&D, more than 160 years of materials science and process engineering knowledge, and a distinctive reciprocal culture. Corning's Manufacturing, Technology and Engineering division (MTE) is recognized as the leader in engineering perfection & innovative manufacturing technologies by providing diverse skills to Corning’s existing & emerging businesses. We anticipate & provide timely, valued, leading edge manufacturing technologies and engineering expertise. We partner with Corning’s businesses and the Science & Technology division. Together we build and sustain Corning’s manufacturing as a differential advantage.

 

Corning Incorporated focuses on building a diverse global workforce where differences are celebrated, and employees feel safe bringing their “whole selves” to work. Our Diversity Network hosts 18 active and distinctive Employee Resource Groups. Employees have access to Allyship resources, podcasts, an internal video channel, digital learning series and trainings, all focused on building and celebrating global diversity and inclusion. Corning has been recognized as a leader in this regard and has been consistently recognized as a national employer of choice.

 

Scope of Position:

  • Improving manufacturing capability (e.g. efficiencies, yields, cycle time, and/or material utilization) by identifying and eliminating root cause(s) of variability
  • Problem solving and/or process improvement using a structured methodical approach and appropriate application of statistics (e.g. Six Sigma)
  • Evaluating impact on the product/process from new or existing: raw materials, processes, and/or equipment parameters
  • Evaluating measurement systems to improve quality and/or reduce inspection costs
  • Crafting experiments to identify key process inputs/interactions and impact on product

 

Day to Day Responsibilities:

  • You will support cross discipline project teams for Research, Development, Engineering, and Manufacturing projects.
  • You will apply statistical techniques to solve problems of diverse scope.
  • You will exercise judgment in selecting methods and techniques for obtaining solutions. The project portfolio covers a broad range of business areas including Life Sciences, Display Technologies (LCD glass), Environmental Technologies (Automotive and Diesel), Specialty Materials, and Strategic Growth (new business development

 

Travel Requirements:

  • Flexibility is required - We travel approximately10-50% - both international and domestic.

 

Required Education and Years of Experience:

  • We require a MS/MA or PhD in Statistics or Applied Statistics
  • Prefer college level statistical classes that also include an engineering discipline.
  • Industrial Statistics Internship in an industry or some hands-on experience with real problems (consulting) is a plus.
  • 0+ years of experience

 

Required Skills:

  • Deep knowledge of statistics in these areas: Multivariate methods, descriptive statistics, inferential statistics, designed experiments, regression and correlation analysis, measurement system analysis
  • Familiarity and proficiency in the use of computer based statistical applications (e.g. Minitab, SAS, JMP, R, Python, etc.)
  • Ability to influence diverse technical teams
  • Hands on approach – willing to visit labs, manufacturing floors etc to observe and sometimes participate in experiments, manufacturing processes
  • Enjoy problem solving in a technical environment with a high level of technical curiosity
  • Ability to present data and analysis in both verbal and written/graphical form that broad audiences can understand

 

Desired Skills:

  • Do you have statistical knowledge in areas such as: nonparametric methods, time series analysis, reliability analysis, multivariate analysis, statistical process control, process capability studies, sample size determination, acceptance sampling, analytics, and comparison tests?
  • How good are your Excel skills, including pivot table functions and macros?
  • What is your familiarity with OSI-Pi, SQL server queries and using Access databases?

 

This position does not support immigration sponsorship.

 

We prohibit discrimination on the basis of race, color, gender, age, religion, national origin, sexual orientation, gender identity or expression, disability, or veteran status or any other legally protected status.

 


Nearest Major Market: Corning