Sr. Data Scientist

Requisition Number: 74328

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.  

The global Information Technology (IT) Function is leading efforts to align IT and Business Strategy, leverage IT investments, and optimize end to end business processes and associated information integration technologies.  Through these efforts, IT helps to improve the competitive position of Corning's businesses through IT enabled processes.  IT also delivers Information Technology applications, infrastructure, and project services in a cost efficient manner to Corning worldwide.

Position Overview:

The Senior Data Scientist is a highly skilled, experienced analytical professional responsible for leading complex data science initiatives that drive strategic business decisions and operational improvements. Working within the Optical Communications Data and AI organization, this individual applies advanced statistical modeling, machine learning, experimental design, and data visualization to solve high-value problems across manufacturing, supply chain, commercial, and technology functions. The Senior Data Scientist operates with a high degree of independence, mentors junior team members, and serves as a trusted analytical partner to business stakeholders.

A Senior Data Scientist in this role will be considered successful when they have demonstrated the following:

1. Business Impact & Value Delivery: Within the first year, successfully contributes to at least two end-to-end data science projects that deliver measurable, documented business outcomes - such as cost reduction, forecast accuracy improvement, or operational efficiency gains - working collaboratively with senior team members and business stakeholders to validate and communicate results.
2. Model Quality & Growing Technical Independence: Consistently delivers well-documented, reproducible, and validated analytical models that meet defined performance benchmarks, demonstrating increasing independence in model selection, feature engineering, and validation methodology—while actively incorporating feedback from senior data scientists and machine learning engineers to improve solution quality and production readiness.
3. Stakeholder Engagement & Communication Growth: Demonstrates steady growth in cross-functional collaboration and communication skills, proactively engaging with business partners to understand requirements, presenting analytical findings clearly and confidently to technical and non-technical audiences, and earning recognition as a reliable and developing analytical contributor within assigned business functions.

Key Responsibilities:

• Advanced Analytics & Modeling
• Design and execute sophisticated analytical solutions, including predictive modeling, statistical analysis, machine learning, and hypothesis-driven research, to address complex business challenges.
• Apply domain expertise to frame, scope, and deliver high-impact data science projects with minimal supervision.
• Lead exploratory data analysis, feature engineering, and model selection for a wide range of business use cases including demand forecasting, quality improvement, pricing, and operational efficiency.
• Business Partnership
• Collaborate closely with business leaders and cross-functional stakeholders to identify opportunities, define analytical requirements, and translate data insights into clear, actionable recommendations.
• Present findings and recommendations confidently to executive and non-technical audiences, emphasizing business impact and decision relevance.
• Build strong, trust-based relationships with technology, commercial, supply chain, and manufacturing partners.
• Team Leadership & Mentorship
• Provide technical mentorship and guidance to junior data scientists and analysts, supporting their professional development and analytical skill growth.
• Lead and contribute to knowledge-sharing sessions, best practice development, and internal training initiatives.
• Participate actively in project reviews, peer feedback, and collaborative problem-solving across the data science team.
• Innovation & Continuous Improvement
• Proactively identify and evaluate emerging analytical methods, tools, and technologies relevant to the business.
• Champion best practices in reproducibility, documentation, version control, and model governance.
• Contribute to the development and refinement of data science standards and workflows across the organization.
• Collaboration with Engineering
• Work closely with machine learning engineers to ensure models are properly validated, documented, and transitioned into production environments.
• Support model monitoring, performance evaluation, and iterative improvement in deployed solutions.

Qualifications:

• Bachelor’s or Master's degree in Data Science, Statistics, Applied Mathematics, Computer Science, Engineering, or a related quantitative discipline; PhD a plus.
• 3+ years of progressive experience applying data science techniques to real-world business problems in an industrial, manufacturing, or technology environment.
• Advanced proficiency in Python and/or R, including experience with key libraries (pandas, scikit-learn, NumPy, TensorFlow, PyTorch, etc.).
• Deep expertise in statistical modeling, predictive analytics, supervised and unsupervised machine learning, and experimental design.
• Strong experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau, Power BI) and the ability to communicate complex findings visually.
• Proven track record of independently managing and delivering complex analytical projects with measurable business outcomes.
• Experience working with large, complex datasets from diverse sources (e.g., ERP, MES, IoT, CRM, etc.).
• Familiarity with cloud platforms (AWS, Azure, GCP) and big data technologies is a plus.
• Strong communication, stakeholder management, and presentation skills.

Desired Qualifications:

• Experience with Databricks, including working within the Databricks Lakehouse Platform for collaborative data science, large-scale data processing, model training, and MLflow-integrated model lifecycle management.
• Familiarity with Apache Spark and distributed computing concepts within the Databricks environment.
• Experience using Databricks notebooks for exploratory analysis, feature engineering, and model development in a collaborative team setting.

• Highly analytical, intellectually curious, and motivated by solving complex, ambiguous problems.
• Confident self-starter who takes ownership and delivers results with minimal supervision.
• Collaborative mentor and team contributor who elevates those around them.
• Strong business acumen and ability to connect analytical work to tangible organizational value.
• Adaptable and eager to continuously learn in a fast-paced, innovative environment.

This position does not support immigration sponsorship.  

The range for this position is $115,046.00 - $158,189.00 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.  

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 accommodations@corning.com.