Scientist, Data Analytics

Responsibilities

• Perform data analysis and interpret results in RD&E or business environments to solve technical and project-related problems.
• Work independently or within cross-functional teams to manage data collection, preparation, and the application of analytical methods.
• Develop new theories or expand upon existing ones to solve complex technical challenges.
• Research internal and external information to support hypothesis testing and project objectives.
• Collaborate with subject matter experts to provide data analytics and create novel computational methods or analytical models.

Requirements

• M.S. or Ph.D. in engineering, computer science, mathematics, statistics, or a related discipline, with a specialization in data analytics.
• Strong mathematical and programming skills.
• Deep knowledge of state-of-the-art analytical methods and machine learning techniques, including traditional ML and modern deep learning (CNNs, RNNs, transformers, etc.).
• Practical experience using machine learning and deep learning frameworks for large-scale data mining.
• Ability to independently prepare data for machine learning and perform exploratory data analysis.

Preferred Qualifications

• Knowledge of emerging technologies in computer vision and general machine learning.
• Understanding of analytics platforms and the ability to build scalable data solutions.
• Familiarity with newer AI approaches such as foundation models, LLMs, generative AI, RAG, and MLOps practices.

Benefits

• Company-wide bonuses and long-term incentives.
• 100% company-paid pension benefit with fixed contributions.
• Matching contributions to 401(k) savings plans.
• Comprehensive health and well-being benefits including medical, dental, vision, and paid parental leave.
• Paid time off and an Employee Assistance Program (EAP).

About the Company

Corning is one of the world’s leading innovators in glass, ceramic, and materials science. Our technologies push the boundaries of what’s possible, from the depths of the ocean to the farthest reaches of space.