Requisition Number: 77476
The company built on breakthroughs.
Join us. Corning is one of the world's leading innovators in glass, ceramic, and materials science. From the depths of the ocean to the farthest reaches of space, our technologies push the boundaries of what's possible.
How do we do this? With our people. They break through limitations and expectations - not once in a career, but every day. They help move our company, and the world, forward.
At Corning, there are endless possibilities for making an impact. You can help connect the unconnected, drive the future of automobiles, transform at-home entertainment, and ensure the delivery of lifesaving medicines. And so much more.
Come break through with us.
Corning's Environmental Technologies segment manufactures ceramic substrates and filter products for emissions control in mobile and stationary applications around the world.
Role PurposeThis candidate should have experience with management/manipulation of large data sets and familiarity with machine learning techniques for supervised and unsupervised learning.
The analytical work will support a range of projects from technical problems in manufacturing. The work will have some focus on process data anomaly detection and dashboarding to assist engineers. It is expected that this person will, on occasion, create predictive tools that will enable both business and technical decisions. The work will involve devising graphical presentation methods to explain results to others. The candidate should have proficiency explaining model methods and predictions in terms of feature importance
Program Perks- Competitive salaries
- Assistance with housing and travel
- Meaningful project and final project presentation
Intern Activities- Social and networking opportunities
- Weekly tech talks
- Community involvement
Requirements- Pursuing a degree in a data science or statistical field. Preference will be given to graduate students in a related data science field.
- Data analysis experience using any mix of software including, but not limited to: Python, R, PowerBI
- Must be available for 10 weeks during Summer Summer 2027 with a graduation date of December 2027 or later
- Be interested in working for Corning, Inc after graduation, if presented with a full-time job opportunity.
- Be willing to work at the posted job location
Experiences/Education - Desired- Familiar with open-source tools for data analytics such as Python, TensorFlow, PyTorch
- Familiarity with neural networks, such as CNN, and decision trees
- Familiarity with outlier identification methods such as Isolation Forests
- Familiarity with SQL and PowerBI
This position does not support immigration sponsorship. The range for this position is $1,635.00 - $3,185.00 biweekly. Starting pay for the successful applicant is prescribed based on geographic location, nature of position, and year in school.
A job that shapes a life. We prohibit discrimination on the basis of race, color, gender, age, religion, national origin, sexual orientation, gender identity or expression, disability, veteran status or any other legally protected status.
Corning is committed to providing equal employment opportunities and considers requests for reasonable accommodations in accordance with applicable laws. Individuals with disabilities or sincerely held religious beliefs may request reasonable accommodations to participate in the application or interview process, perform essential job functions, or access other benefits and privileges of employment. To submit a request for reasonable accommodation related to disability or religion, please contact us at
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