Data Scientist; Remote

Data Scientist (Remote)

** Date:
** Jun 9, 2026

*
* Location:

** Corning, NY, US, 14831

** Company:
** Corning

Requisition Number: 74528

** 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 businesses are ever-evolving to best serve our customers, industries, and consumers. Today, we accelerate and transform life sciences, mobile consumer electronics, optical communications, display, automotive, and solar markets. We are changing the world with:

+ Trusted products that accelerate drug discovery, development, and delivery to save lives

+ Damage-resistant cover glass to enhance the devices that keep us connected

+ Optical fiber, wireless technologies, and connectivity solutions to carry information and ideas at the speed of light

+ Precision glass for advanced displays to deliver richer experiences

+ Auto glass and ceramics to drive cleaner, safer, and smarter transportation

+ Solar polysilicon, wafers, and innovative photovoltaic modules, enabling low-cost solar energy solutions

*
* Location:

** Remote

** Role Summary*
* The Data Scientist II / III role is an exciting opportunity to join Corning's Data Science & Insight (DSI) team, where the individual will develop AI and machine learning solutions that enhance efficiency, generate actionable insights, and improve decision-making across a large and complex Fortune 500 organization.

This position sits within the Finance function and supports digital transformation initiatives across both corporate finance and the broader enterprise. A central focus of the role is the design and delivery of enterprise-grade, reusable AI/ML models and frameworks that can be applied across finance to address a broad range of business challenges.

The team brings together expertise in statistics, data science, machine learning, artificial intelligence, MLOps, and corporate finance. Projects are executed in a highly collaborative environment, while also requiring strong individual ownership and initiative.

Using advanced analytical and modeling techniques, the Data Scientist will enable objective, insight-driven analysis for stakeholders at all levels, including senior leadership. This role requires deep technical capability in applying sophisticated data science and machine learning methods to complex finance-related challenges, including time series analysis, Bayesian modeling, supervised and unsupervised learning, reinforcement learning, deep learning, natural language processing, and Generative AI.

The role is responsible for developing scalable, reusable solutions and helping to elevate modeling standards across the finance organization. This position follows a hybrid-remote model, with the expectation of being onsite at Corning headquarters for in-person meetings as needed.

** Role Context*
* The Data Scientist is a core member of the centralized Digital Center AI team supporting Finance. This role is responsible for building and maintaining shared AI capabilities-including forecasting, predictive modeling, NLP/GenAI, prescriptive analytics, and pattern recognition-for use across FP&A, Treasury, Controllership, Tax, and Risk.

Success in this role requires a strong focus on scalability, robustness, and responsible deployment, as well as the consistent application of industry best practices in model development, validation, documentation, governance, and MLOps. The individual in this role is also expected to remain current with advancements in AI and machine learning and translate relevant innovations into practical,…