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Data Scientist

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Date: Jun 29, 2026

Location: Charlotte, NC, US, 28216

Company: Corning

Requisition Number: 76036

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. 

Our Optical Communications segment has recently evolved from being a manufacturer of optical fiber and cable, hardware and equipment to being a comprehensive provider of industry-leading optical solutions across the broader communications industry.This segment is classified into two main product groupings – carrier network and enterprise network. The carrier network product group consists primarily of products and solutions for optical-based communications infrastructure for services such as video, data and voice communications. The enterprise network product group consists primarily of optical-based communication networks sold to businesses, governments and individuals for their own use.

Role Purpose

As a Data Scientist, you will serve as a hands-on applied data science contributor within the Business Intelligence team. You will work closely with market intelligence teammates, business stakeholders, and leadership to develop practical analytical solutions that improve how we understand markets, customers, competitors, and business performance.

This role is focused on applied, decision-oriented data science rather than theoretical or research-based work. Success in this role requires balancing technical rigor with speed, business relevance, and clear communication in a fast-moving, high-visibility environment. You will be expected to move efficiently from business question to usable solution while ensuring outputs are credible, explainable, and grounded in business realities.

You will contribute to the technical rigor of the Business Intelligence team by applying sound data science methods, reproducible workflows, and practical analytical approaches to business problems. This role reports directly to the Director of Forecasting & Analytics within the Business Intelligence organization.

Key Responsibilities

Develop and deliver applied data science solutions for business intelligence use cases such as forecasting, classification, segmentation, anomaly detection, and other predictive or descriptive analytics.
Own end-to-end analytical execution, including data ingestion, API integration, transformation of structured and semi-structured data, feature engineering, modeling, validation, and stakeholder-ready output creation.
Partner with market intelligence teammates and business stakeholders to frame ambiguous questions, define fit-for-purpose analytical approaches, and translate outputs into practical recommendations.
Select appropriate statistical, machine learning, and AI methods based on business need, data constraints, interpretability, and time-to-insight; avoid unnecessary complexity when simpler approaches are sufficient.
Apply rigorous validation and reasonableness checks to ensure outputs are accurate, explainable, and aligned with market and business context.
Build scalable, reusable workflows in Databricks and related tools that improve reproducibility, speed, and team efficiency.
Prepare clear visualizations, dashboards, and executive-ready materials in Power BI, Excel, and PowerPoint to communicate methods, insights, assumptions, and implications effectively.
Partner closely with business-facing teammates to strengthen quantitative rigor in market intelligence, competitive intelligence, strategic finance, and economics-oriented analyses.
Stay current with the evolving data science and AI landscape and contribute ideas for applying new methods and tools where they may create business value.
Contribute to best practices for experimentation, documentation, model validation, code quality, and reproducible analytical workflows within the BI analytics team.
Participate in agile delivery, code reviews, documentation, and production support for analytical solutions.

Experiences/Education - Required

Bachelor’s degree in data science, statistics, computer science, economics, operations research, engineering, or related quantitative field
Minimum 3 years of experience applying data science, machine learning, or advanced analytics to business problems in a production or business-facing environment
Strong proficiency in Python and SQL, with experience supporting the analytical workflow from data ingestion and preparation through model output and stakeholder-ready delivery
Advanced proficiency in Excel and PowerPoint, including building structured analyses and communicating executive-ready insights

Experiences/Education - Desired

Experience using Databricks and/or Spark for large-scale data processing, modeling, and analytics workflows
Experience building dashboards or analytical products in Power BI
Experience with version control, CI/CD, model lifecycle practices, or reproducible analytics workflows
Familiarity with business intelligence, market intelligence, competitive intelligence, strategic finance, and/or economics-oriented applications of analytics
Experience evaluating and applying emerging AI or machine learning approaches in practical business settings

This position does not support immigration sponsorship.

The range for this position is $97,314.00 - $133,808.00 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.

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.

Nearest Major Market: Charlotte

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