Sr. Process Data Scientist

Requisition Number: 70323

The company built on breakthroughs.
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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

The Senior Process Data Scientist will lead the development and deployment of advanced analytics solutions to drive strategic decision-making and operational excellence across the organization through process improvement. This role will focus on leveraging machine learning, statistical modeling, and big data technologies to uncover insights, optimize processes, and support the digital transformation journey, including Manufacturing 4.0 initiatives.

Key Responsibilities

• Design and implement scalable data science solutions for complex business problems across manufacturing, engineering, and operations.
• Lead cross-functional analytics projects from ideation to deployment, ensuring alignment with business goals.
• Develop predictive and prescriptive models using machine learning, deep learning, and statistical techniques.
• Architect and maintain robust data pipelines and analytical frameworks in collaboration with data engineering and IT teams.
• Mentor junior data scientists and analysts, fostering a culture of continuous learning and innovation.
• Partner with stakeholders to translate business needs into data-driven strategies and actionable insights.
• Create compelling visualizations and dashboards using tools like Power BI or Tableau to communicate findings effectively.
• Serve as a subject matter expert in data science, guiding best practices in data governance, model validation, and ethical AI.
• Contribute to the advancement of Manufacturing 4.0 by integrating AI/ML into process optimization and automation initiatives.

Required Qualifications

• Bachelor's in Data Science, Computer Science, Engineering, Statistics, or a related field.
• 5+ years of experience in data science, analytics, or a related field, preferably in a manufacturing or industrial setting.
• Proficiency in Python, R, SQL, and experience with big data platforms (e.g., Databricks, Spark, Hadoop).
• Strong foundation in statistical modeling, machine learning, and data mining techniques.
• Experience with cloud platforms (e.g., Azure, AWS, Google Cloud Platform) and modern data architectures.
• Advanced data visualization skills using Power BI, Tableau, or similar tools.
• Excellent communication and leadership skills with the ability to influence at all levels of the organization.

Desired Qualifications

• Master's or Ph.D. in Data Science, Computer Science, Engineering, Statistics, or a related field.
• Experience with manufacturing systems (MES, ERP) and industrial data platforms (e.g., OSI PI).
• Familiarity with MLOps practices and tools for model deployment and monitoring.
• Bilingual (English/Spanish) and experience working with international or cross-cultural teams.
• Professional certifications in Data Science, Machine Learning, or related fields.

This position does not support immigration sponsorship.

The range for this position is $97,542.00 - $134,121.00 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. The benefits available for this position are dependent on hours worked and may include medical, dental, vision, 401(k) plan, pension plan, life insurance coverage, disability benefits, and PTO.

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, and career from day one

• As part of our commitment to your financial well-being, we provide a 100% company-paid pension benefit that grows throughout your career. We also offer a 401(k) savings plan with company matching contributions.
• Our health and well-being benefits include medical, dental, vision, paid parental leave, family building support, fitness, company-paid life insurance, disability, and disease management programs.
• 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.
• 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 peer-to-peer recognition program to celebrate success by recognizing colleagues who demonstrate above-and-beyond behaviors.

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