R&D Data Scientist

Hexcel • Salt Lake, UT

21h • Onsite

About The Position

With our strong investment in research and development and our culture of continuous improvement, Hexcel is the industry leader in the manufacturing of composite materials and industrial fabrics. We invite you to join the Hexcel team at various manufacturing sites, sales offices, and research and technology centers around the globe. Become a part of the “strength within.” Hexcel is currently seeking a Research and Development Data Scientist for our Salt Lake City, UT, USA

Requirements

• Master’s degree in data science; bachelor’s degree in materials science, chemistry, chemical engineering, or related field.
• Minimum of 2 years of experience in industrial setting, preferably with demonstrated experience applying machine learning and advanced analytics to real-world problems.
• Proven ability to develop and implement digital twin and other models for processes or systems using machine learning and traditional modeling techniques.
• Experience working with mathematical modeling of physical systems a plus.
• Experience working closely with product development teams to translate technical insights into actionable improvements in process and product performance.
• Working knowledge of DOE (Design of Experiments) and other active learning methods.
• Proficiency in data preprocessing and data cleaning techniques, including handling large, complex, and noisy datasets.
• Demonstrated ability to apply state-of-the-art methods in data science and AI to support process optimization, product innovation, and decision-making.
• Strong programming skills in languages such as Python or R, with experience using relevant data science techniques
• Experience with Microsoft's technology stack and the Azure digital toolset
• Eligible candidates must be a: U.S. citizen, U.S. national, person lawfully admitted for permanent residence, temporary resident under sections 210(a) or 245(A) of the Immigration and Nationality Act, person admitted in refugee status, or person granted asylum.

Nice To Haves

• Experience with multiple large and small language models including models designed for optimized chemical compositions preferred.

Responsibilities

• Develop, validate, and maintain digital twin models of key processes using machine learning and physics-informed or statistical approaches.
• Collect, preprocess, and analyze large and complex datasets to extract actionable insights supporting process and product development efforts.
• Design and implement advanced data science and AI solutions to optimize process performance, improve product quality, and accelerate innovation.
• Work in cross-functional teams of scientists, technicians, and engineers in product design and development programs.
• Translate analytical findings into practical recommendations and support the implementation of data-driven improvements across cross-functional teams.
• Supports design and experiments (DOE) and active learning strategies at lab, pilot and production scale.
• Monitor model performance and continuously refine algorithms and data pipelines to ensure accuracy, robustness, and scalability in production environments.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level