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AI Products, Principal Data Scientist

Corning
United Statesfull_timeVerifiedPosted 20 Feb 2025
💰 $201,783/yr($146,751/yr$201,783/yr)

About the role

Requisition Number: 66896

 

Corning is vital to progress – in the industries we help shape and in the world we share.

 

We invent life-changing technologies using materials science. Our scientific and manufacturing expertise, boundless curiosity, and commitment to purposeful invention place us at the center of the way the world interacts, works, learns, and lives.

 

Our sustained investment in research, development, and invention means we’re always ready to solve the toughest challenges alongside our customers. 

 

The global Information Technology (IT) Function is leading efforts to align IT and Business Strategy, leverage IT investments, and optimize end to end business processes and associated information integration technologies.  Through these efforts, IT helps to improve the competitive position of Corning's businesses through IT enabled processes.  IT also delivers Information Technology applications, infrastructure, and project services in a cost efficient manner to Corning worldwide.

We are seeking out dedicated machine learning modeling engineers who strive to see their work make a difference. If you have a passionate belief in the power of innovation to change the world; if you rate your own success by how many people are touched by your research; and if you are up to the challenge of doing world-class science to make real, profitable advanced materials, then Corning is the place for you. You will enjoy the collaborative and dynamics team environment, learn and grow with other world class machine learning modeling engineers and scientists.

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.

 

Position Summary

Corning's Digital & IT division is building an AI team that partners with our business units to create AI products to deliver business value at scale. We anticipate & provide timely, valued, leading edge data and AI expertise. We partner with Corning's businesses and the staffs functions. Together we create and sustain Corning's manufacturing as a differential advantage.

 

Responsibilities:

  • Act as the principal data scientist for the D&IT AI Platform & Products organization, providing subject matter expertise in the space of data science representing D&IT and partnering with the Corning businesses’ data science organizations.
  • Translate ambiguous business problems into data science problems, analyzing complex datasets to inform or make decisions to address these problems.
  • Apply scientific principles and concepts to support significant invention, using a range of scientific methodologies and following best practices for those methodologies.
  • Proactively identify opportunities and solutions to problems, even if these solutions require novel techniques or approaches.
  • Create metrics and measurements to quantify the business impact of your work.
  • Write accurate and clear technical documentation, whitepapers and reports, incorporating the appropriate level of mathematical rigor as needed.
  • Communicate the approach and outcomes of models clearly and effectively with non-technical stakeholders to build trust.
  • Collaborate with stakeholders across a broad range of functions, such as science, data, engineering, product, and business.
  • Participate in business center of excellence projects, providing data analytics, machine learning, software development, and modeling support to the Corning technology community to enable effective innovation and competitive advantage of Corning products.
  • Interface with customers to define project specifications, research and improve applicable technologies, and work with industry experts to expand Corning's expertise in ke

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Company

Corning

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