AI Products, Principal Data Scientist **Date:** Feb 20, 2025 **Location:** Charlotte, NC, US, 28216Painted Post, NY, US, 14870 **Company:** Corning Requisition Number: 66896 Corning is vital to progress – in the industries we help shape and in the world we share. We invent life-changing technologies using materials science. Our scientific and manufacturing expertise, boundless curiosity, and commitment to purposeful invention place us at the center of the way the world interacts, works, learns, and lives. Our sustained investment in research, development, and invention means we’re always ready to solve the toughest challenges alongside our customers. 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. We are seeking out dedicated machine learning modeling engineers who strive to see their work make a difference. If you have a passionate belief in the power of innovation to change the world; if you rate your own success by how many people are touched by your research; and if you are up to the challenge of doing world-class science to make real, profitable advanced materials, then Corning is the place for you. You will enjoy the collaborative and dynamics team environment, learn and grow with other world class machine learning modeling engineers and scientists. Corning is one of the world's leading innovators in materials science. For more than 160 years, Corning has applied its unparalleled expertise in specialty glass, ceramics, and optical physics to develop products that have created new industries and transformed people's lives. Corning succeeds through sustained investment in R&D, a unique combination of material and process innovation, and close collaboration with customers to solve tough technology challenges. **Position Summary** Corning's Digital & IT division is building an AI team that partners with our business units to create AI products to deliver business value at scale. We anticipate & provide timely, valued, leading edge data and AI expertise. We partner with Corning's businesses and the staffs functions. Together we create and sustain Corning's manufacturing as a differential advantage. **Responsibilities:** + Act as the principal data scientist for the D&IT AI Platform & Products organization, providing subject matter expertise in the space of data science representing D&IT and partnering with the Corning businesses’ data science organizations. + Translate ambiguous business problems into data science problems, analyzing complex datasets to inform or make decisions to address these problems. + Apply scientific principles and concepts to support significant invention, using a range of scientific methodologies and following best practices for those methodologies. + Proactively identify opportunities and solutions to problems, even if these solutions require novel techniques or approaches. + Create metrics and measurements to quantify the business impact of your work. + Write accurate and clear technical documentation, whitepapers and reports, incorporating the appropriate level of mathematical rigor as needed. + Communicate the approach and outcomes of models clearly and effectively with non-technical stakeholders to build trust. + Collaborate with stakeholders across a broad range of functions, such as science, data, engineering, product, and business. + Participate in business center of excellence projects, providing data analytics, machine learning, software development, and modeling support to the Corning technology community to enable effective innovation and competitive advantage of Corning products. + Interface with customers to define project specifications, research and improve applicable technologies, and work with industry experts to expand Corning's expertise in key emerging technology areas. + Work independently or as part of a team on data preparation, machine learning model development and testing, and/or software development & modifications in support of Corning products at different stages. + Interpret data analysis results in business context and articulate the implications of the results to the business function. + Write and maintain relevant support documentation, prepare and deliver relevant user training, and mentor new engineers and scientists. + Influences multiple teams to build consensus and advise Sr leadership. + Evaluate cross-team perspectives and understand how interactions among teams, processes and systems need to be modelled in solutions. + Utilize deep understanding of business challenges and the applicability of relevant data science disciplines and interactions amongst systems to identify the most advantageous solutions that deliver significant benefit to the business + Contributions influence technical and business strategy. Harmonize discordant views and lead the resolution of contentious issues. + Optimize connected systems using their dynamics. Improve consistency and integration between team’s solutions and the work done by related teams. + Improve work done by others either via collaboration or by increasing their scientific knowledge using specialized tools or advanced techniques **Required Skills:** + Min. 8-10 years' experience in data science or related field. + Capable of independently preparing data for machine learning purposes and performing exploratory data analysis. + Deep knowledge of machine learning techniques, such as traditional machine learning and deep learning algorithms, convolutional neural networks, recurrent neural networks, generative models, and reinforcement learning algorithms. + Background in Time Series, Computer Vision, Natural Language Processing and track record of journal or conference publications in relevant fields or demonstrated practical applications of machine learning algorithms in manufacturing or business environment. + Practical experience of using machine learning and deep learning frameworks and libraries for large-scale data mining (e.g., PyTorch, Tensor Flow) + Strong mathematical and programming skills using Python and/or Databricks. + Comfortable working with Windows and Linux parallel processing clusters. + Strong interpersonal and presentation skills and ability to work as a team player or individual contributor. Must be a proactive and solution-oriented problem solver. + Knowledge of emerging technologies and algorithms in computer vision and/or machine learning in general (e.g., attention algorithms, few-shot learning, explainability, generative networks). + Ability to support multiple projects at the same time. **Desired Skills** + Background in one or more scientific disciplines (e.g., physics, chemistry, or engineering). + Demonstrated ability to build data analytics solutions to support the required performance and scale. + A foundation in software design principles and an ability to design and create applications as necessary. + Clear dedication to excellence and advancing beyond the current state. + Strong personal motivation and proven ability to embrace and drive change. + Experience with AWS Sagemaker & Bedrock a plus. **Education Requirements:** Masters/PhD in a quantitative field (CS, CE, ML, OR, Econ, or related). **This position does not support immigration sponsorship.** The range for this position is $146,751.00 - $201,783.00 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. **​Corning Puts YOU First!** We are committed to supporting your health, financial, career development, and life goals as you grow professionally and personally to achieve your highest potential. All benefits begin as soon as you start your career at Corning. + Our monetary peer-to-peer recognition program is tied to ourand celebrates you and your colleagues’ contributions. + Health and well-being benefits include medical, dental, vision, paid parental leave, mental health/substance use, fitness, and disease management programs. + Financial benefits include a 401(k) savings plan with company matching contributions and a 100% company-paid pension benefit that grows steadily throughout your career. + Companywide bonus and attractive short- and long-term compensation programs are available based on your role and responsibilities. + Professional development programs help you grow and achieve your career goals. 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. **Nearest Major Market:** Charlotte