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 ...
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 ...
R&D Data Scientist
Salt Lake City, UT · On-site
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 ...
R&D Data Scientist
Salt Lake City, UT · On-site
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 ...
R&D Data Scientist
Salt Lake City, UT · On-site
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 ...
R&D Data Scientist
Salt Lake City, UT · On-site
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 ...
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Senior Data Scientist
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$140K - $175K/yr
Experience with interpretable or physically informed modeling techniques and an appreciation for explainable machine learning * Familiarity with MLOps concepts such as model versioning ...
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Be Seen First
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As our data scientist, you'll lead advanced analytic efforts and drive data-informed decision ... Design and develop machine learning models, including recommendation engines and automated scoring ...
As our data scientist, you'll lead advanced analytic efforts and drive data-informed decision ... Design and develop machine learning models, including recommendation engines and automated scoring ...
As our data scientist, you'll lead advanced analytic efforts and drive data-informed decision ... Design and develop machine learning models, including recommendation engines and automated scoring ...
As our data scientist, you'll lead advanced analytic efforts and drive data-informed decision ... Design and develop machine learning models, including recommendation engines and automated scoring ...
Quick apply
As our data scientist, you'll lead advanced analytic efforts and drive data-informed decision ... Design and develop machine learning models, including recommendation engines and automated scoring ...
As our data scientist, you'll lead advanced analytic efforts and drive data-informed decision ... Design and develop machine learning models, including recommendation engines and automated scoring ...
As our data scientist, you'll lead advanced analytic efforts and drive data-informed decision ... Design and develop machine learning models, including recommendation engines and automated scoring ...
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Physics Informed Machine Learning information
What are the key skills and qualifications needed to thrive in the Physics Informed Machine Learning position, and why are they important?
To thrive in Physics Informed Machine Learning, you need a solid background in physics, strong mathematical and statistical skills, and experience with machine learning algorithms, typically supported by an advanced degree in a relevant field. Proficiency with programming languages like Python, frameworks such as TensorFlow or PyTorch, and familiarity with numerical simulation tools are commonly required. Effective problem-solving, clear communication, and the ability to collaborate with interdisciplinary teams make a significant impact in this role. These capabilities are essential for developing robust, interpretable machine learning models that leverage physical laws to solve complex, real-world problems.
What are the typical challenges faced by professionals working in Physics Informed Machine Learning roles?
Professionals in Physics Informed Machine Learning often encounter challenges integrating complex physical theories with advanced machine learning models, requiring deep domain knowledge and strong technical skills. Balancing model accuracy with computational efficiency and ensuring that models are both interpretable and generalizable can be demanding. Collaboration with domain experts, data scientists, and engineers is common, as projects often span multiple disciplines. Successfully navigating these challenges provides valuable experience and is highly regarded, often leading to further career advancement in research, engineering, or leadership positions.
What is a Physics Informed Machine Learning job?
A Physics Informed Machine Learning (PIML) job involves developing AI models that integrate physics-based principles to improve accuracy, interpretability, and generalization. Professionals in this role use machine learning techniques alongside domain knowledge in physics, engineering, or applied sciences to solve complex problems in areas like fluid dynamics, materials science, and climate modeling. Responsibilities often include designing algorithms, implementing simulations, and validating results against experimental or real-world data. Employers typically seek expertise in deep learning, numerical methods, and programming languages like Python.
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Hexcel rating
7.5
Based on 19 frontline employees who took The Breakroom Quiz
Job description
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 aResearch and Development Data Scientistfor ourSalt Lake City, UT, USA
The selected individual will be responsible for but not limited to the following obligations:
- 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.
Qualifications:
- 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
- Experience with multiple large and small language models including models designed for optimized chemical compositions preferred.
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. Hexcel (NYSE: HXL) is a global leader in advanced composites technology, a leading producer of carbon fiber, and the world leader in honeycomb manufacturing for the commercial aerospace industry.
Hexcel is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, physical or mental disability, status as a protected veteran, or any other protected class.
About Hexcel
Sourced by ZipRecruiter
Industry
Aerospace product and parts manufacturing
Company size
5,001 - 10,000 Employees
Headquarters location
Stamford, CT, US
Year founded
1946