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About the Role

The Data Scientist role is an exciting opportunity to join Corning’s Data Science & Insight (DSI) team, building AI/ML solutions for finance to drive efficiency, insight, and better decision-making across a large and diverse Fortune 500 organization. This position sits within the Finance Function and supports digital transformation across corporate finance and the enterprise. A key focus is designing and delivering enterprise-grade, reusable AI/ML models and frameworks that can be leveraged across finance to address a wide range of business challenges. The team applies expertise in statistics, data science, machine learning, AI, MLOps, and corporate finance, and projects are executed collaboratively with strong individual ownership. Using advanced modeling techniques, the Data Scientist enables objective, insightful analysis of stakeholders at all levels, including senior leadership. The role requires strong capability in applying robust data science and machine learning methods to complex finance problems, including time series, Bayesian modeling, supervised and unsupervised learning, reinforcement learning, deep learning, NLP, and GenAI. The candidate will develop scalable, reusable solutions and help advance modeling standards across finance.

Responsibilities

• Design, develop, and validate foundational, reusable AI/ML models and frameworks that can be leveraged across multiple finance functions.
• Apply advanced statistical and machine learning techniques (e.g., time series, Bayesian methods, tree-based models, clustering, deep learning, NLP, GenAI) to solve complex, cross-finance business problems.
• Implement industry best practices across the model lifecycle (problem framing, data quality, feature engineering, validation, interpretability, monitoring, documentation, and reproducibility) to ensure solutions are robust, explainable, and governable.
• Critically evaluate existing models, metrics, and workflows; recommend and implement improvements to increase robustness, scalability, and operational efficiency.
• Collaborate with ML Engineers and Data Engineers to convert research and prototypes into production-ready, governed AI solutions.
• Translate analytical results into clear insights and recommendations for senior finance leaders and executives.
• Coach and mentor embedded and junior data scientists on modeling standards, reusable patterns, and best practices.
• Stay current on state-of-the-art AI/ML research and tooling; experiment with emerging methods and drive adoption where they provide clear business value and can be operationalized responsibly.
• Share learnings, model performance, and standards through presentations, documentation, and knowledge-sharing forums.
• Compile, integrate, and prepare internal and external datasets for advanced modeling.
• Contribute high-quality, well-documented code to shared repositories following enterprise standards.

Requirements

• Minimum of 5 years of experience applying data science and machine learning methods to solve complex business problems.
• Strong ability to work independently while contributing effectively to highly collaborative, cross-functional teams.
• Proven ability to convert research and analytical work into production-ready solutions.
• Demonstrated curiosity and willingness to challenge traditional processes and assumptions.
• Self-driven with a commitment to continuous learning, including staying current with modern AI/ML practices and tooling.
• Ability to present complex technical analysis to senior-level business stakeholders.

Skills

• Python
• Python AI/data science ecosystem
• Git-based source control (GitHub, GitLab)
• Databricks
• Cloud ML platforms (AWS, Azure)
• Distributed computing frameworks (Spark)

Location

• Hybrid-Remote

Work Type

• Full-time

Experience Level

• Minimum of 5 years of experience

Education Level

• MS or PhD in a quantitative discipline (Data Science, Statistics, Mathematics, Computer Science, Economics, Finance)
• Coursework in applied statistics, machine learning, or data science

Salary/Compensations

• $109,335.00 - $150,336.00

Benefits

• Company-wide bonuses
• Long-term incentives
• 100% company-paid pension benefit
• Matching contributions to 401(k) savings plan
• Medical
• Dental
• Vision
• Paid parental leave
• Family building support
• Fitness
• Company-paid life insurance
• Disability
• Disease management programs
• Paid time off
• Employee Assistance Program (EAP)
• Recognition program

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.
• 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.

Equal Opportunity

• 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 accommodations@corning.com.