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Data Scientist in Cheswick, PA at Vitro

Date Posted: 4/6/2019

Job Snapshot

Job Description

000912

This position of Research Data Scientist is created to fill the technology void in Vitro R&D.  It is also for growing the key technical competency in the Data Analytic area for a sustainable technology development and implementations.  Using the state of the art data technology and introducing the Machine learning, Artificial Intelligence, and Advanced statistics into Vitro for the purpose of optimizing the process performance and discover new knowledge from the vast amount data available in our database systems is a critical technology effort that requires us to develop the core competency both for the short term and long term.

The Research data scientist will lead a cross function team, R&D, Manufacturing, and Information technology:

  • To explore the process optimization opportunities
  • Identify the root causes of the process upsets
  • Provide process management guidance to change the Vitro’s process management from an experience based operation into a data driven process operation
  • Effectively use the state of the art technology such as Machine learning, Artificial Intelligence, and Advanced statistics tools is a must
    for the Data Scientist

In short term, this position will mainly focus on Architectural glass operations improvement such as:

  • MSVD glass coating and Melting/forming processes to develop the future Big data technology platforms
  • Apply the Data analytic technologies onto identification of the root causes of the MSVD process defects, colors, and variations 
  •  Similar technology will be applied to the glass melting and forming
    processes

In long term, the Data scientist and team will expending the Big data technology in to other Architectural glass business segments such as:

  • Product support
  • Supply chain optimization
  • Process maintenance
  • Glass cold end operations

Also, as the knowledge and experience accumulated in this
technical field, cross Vitro businesses projects will be developed to apply the Advanced dada analytic technology into other Vitro businesses, such as Automotive glass, chemical, and other businesses.

Technically, the role of the Research Data scientist is to:

  • Model complex glass-related manufacturing problems
  • Discover information hidden in vast amounts of process data
  • Identify opportunities for manufacturing improvement through the use of advanced data analytics techniques such as data mining and
    machine learning,
  • Help us understand and optimize process, deliver better products and make smarter decisions.

The application domain in short term will be in Glass melting and forming, Glass coating (sputtering, thin film) and Automotive glass fabrication operations.

The primary focus of this position will be:

  • Integrating and preparing large and varied datasets from different data sources (such as image data, text data, etc.)
  • Applying data mining techniques
  • Doing advanced statistical analysis
  • Building high quality prediction systems integrated within our research and manufacturing environment
  • Communicating the analysis results with scientists and engineers

An Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

 

 

Job Requirements

  • Ph.D. degree in data analytic related major with focus on Machine Learning/Artificial Intelligence,
  • mathematics, statistics or computer science, and other related science and engineering degrees
  • Minimum 3 or more years of relevant quantitative and qualitative research and analytics
  • experience; minimum of 1 year of experience in an industrial R&D environment
  • Proficiency  in  Machine  Learning/Artificial  Intelligence,  advanced  statistical  analysis  and
  • experiment design.
  • Proficiency in the use of statistical packages such as  R, Python, C#, and other computer languages
  • Well established knowledge about the Big data technology platforms in current marketplace and
  • industries
  • Familiar and thorough knowledge/understanding about Microsoft Azure service technologies is a
  • plus for a success candidate for this position
  • Familiar with advanced process control knowledge and technology is a high plus for this position
  • Knowledge of the glass manufacturing, such as coating, melting and forming, automotive glass
  • manufacturing processes is a plus
  • Skill of project leadership or supervisory experience
  • Knowledge of Manufacturing process wide process data technology and Microsoft SQL databased
  • technology is a plus
  • Innovative and high energy and motivations for searching new technology is a must
  • Effective, dynamic,  and quick learning  is required for this job