Job Description

Data Analyst **Date:** Oct 31, 2025 **Location:** North Carolina, NC, USCorning, NY, US, 14831 **Company:** Corning Requisition Number: 71686 **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.  **Scope of Position** Act as Subject Matter Expert to provide data analytics and machine learning modeling development support, and to create novel computational methods and analytical models to enhance the competitive advantage of Corning products. **Day to Day Responsibilities:** + Develop advanced machine learning models to support efforts in product and materials design and discovery. + Identify opportunities to apply advanced analytics and machine learning by understanding the business needs and developing project proposals to solve critical problems. + Participate in research & engineering projects providing data analytics, machine learning, software development, and modeling support to Corning technology community and to enable effective innovation and competitive advantage of Corning products. + Work independently or as part of the team on data preparation, machine learning model development and testing in support of Corning products at different stages. + Interpret data analysis results in RD&E or business context and articulate the implications of the results to the business function. + Write and maintain relevant support documentation, prepare and deliver relevant user training, and mentor new engineers and scientists. **Minimum Requirements** + Bachelor or MS in engineering, computer science, mathematics and statistics, or a related discipline, with specialization in data analytics and machine learning. + 1+ year of experience in development and deployment of different machine learning models, such as time series modeling, computer vision, and natural language processing, to solve either academic or business problems. Experience can be demonstrated through academic research projects, intern or industrial work, publications, compelling open-source project contributions, or an impressive Kaggle scoreboard. + Capable of independently preparing data for machine learning purposes and performing exploratory data analysis. + Strong mathematical and programming skills using Python and/or R. + Comfortable working with Windows and Linux parallel processing clusters. **Desired Skills** + Practical experience of using deep learning frameworks and libraries for large-scale data mining (e.g., PyTorch, Tensor Flow). + Background in Time Series, Computer Vision, Natural Language Processing, Materials Informatics, or Physics-Informed Neural Networks and track record of journal or conference publications in relevant fields. + Knowledge of emerging technologies and algorithms in computer vision and/or machine learning in general (e.g., attention algorithms, few-shot learning, explainability, generative networks, large language model, etc.). + Experience with physics-based modeling and ability to analyze, optimize, and debug scientific code. + A foundation in software design principles and an ability to design and create applications as necessary. **This position does not support immigration sponsorship.** The range for this position is $70,586.00 - $97,056.00 assuming full time status. Starting pay for the successful applicant is dependent on a variety of job-related factors, including but not limited to geographic location, market demands, experience, training, and education. **A job that shapes a life. ** **Corning offers you the total package. ** Your well-being is our priority. Our compensation and benefits package supports your health and wellness, financial aspirations, and career from day one. + Company-wide bonuses and long-term incentives align with key business results and ensure you are rewarded when the company performs well. When Corning wins, we all win. + As part of our commitment to your financial well-being, we provide a 100% company-paid pension benefit with fixed contributions that grow throughout your career. Combined with matching contributions to your 401(k) savings plan, Corning's total contributions to your retirement accounts can reach between 7% and 12% of your pay, depending on your age and years of service. + Our health and well-being benefits include medical, dental, vision, paid parental leave, family building support, fitness, company-paid life insurance, disability, disease management programs, paid time off, and an Employee Assistance Program (EAP) to support you and your family. + Getting paid for our work is important, but feeling appreciated and recognized for those contributions motivates us much more. That's why Corning offers a recognition program to celebrate successes and reward colleagues who make exceptional contributions. 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. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. To request an accommodation, please contact us at.

Job Tags

Full time,

Similar Jobs