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Machine Learning Scientist Jobs in Utah (NOW HIRING)

... building large-scale machine learning, predictive modeling, and advanced analytics tools ... Qualifications : Required : • Undergraduate degree in Data Science, Statistics, Mathematics ...

Senior Data Scientist

Lehi, UT · On-site

$107K - $183K/yr

As a Senior Data Scientist, you will collaborate with cross-functional stakeholders to identify ... Proficient creating machine learning, predictive modeling, and advanced analytics tools tailored to ...

Senior Machine Learning Engineer

Sandy, UT · On-site

$113K - $150K/yr

As Senior Machine Learning Engineer, you will own the evaluation and optimization of speech ... MS in computer science, electrical engineering, computational linguistics, or a related field with ...

Role - Lead, mentor and grow the data science team and tech stack focused on developing production-grade services and capabilities - Plan and direct data science / machine learning projects within ...

Job Brief Data Science, Machine Learning, Programming Are you VIGILANT about your career? RealmOne definitely is! RealmOne was built on the principle that people matter first and foremost. We believe ...

Lead Data Scientist

Draper, UT · On-site +1

$138K - $272K/yr

Advanced machine learning modeling and/or technical expertise in developing market differentiation data science products. * Experience in bank card/credit card business, consulting, retail, marketing ...

Data Science Tutor

Logan, UT · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Data Science Tutor

Cedar City, UT · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Data Science Tutor

Provo, UT · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

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Machine Learning Scientist information

What is a Machine Learning Scientist job?

A Machine Learning Scientist researches, develops, and applies machine learning models to solve complex problems. They work on designing algorithms, improving model performance, and analyzing large datasets to extract valuable insights. Their role often involves experimenting with new techniques, optimizing existing models, and collaborating with engineers and data scientists to deploy solutions. Machine Learning Scientists typically have expertise in statistics, mathematics, and programming languages like Python. They work in industries such as healthcare, finance, and technology to drive innovation using artificial intelligence.

What are the typical daily tasks and collaboration opportunities for a Machine Learning Scientist?

A typical day for a Machine Learning Scientist involves collecting and analyzing large datasets, designing and training machine learning models, and evaluating model performance to ensure accuracy and reliability. You'll often collaborate with data engineers, software developers, and domain experts to define project goals, prepare data, and integrate solutions into production systems. Regular team meetings, code reviews, and brainstorming sessions are common, fostering an environment of shared learning and problem-solving. This collaborative structure not only enhances project outcomes but also offers valuable opportunities for continuous professional growth and skill development.

What are the key skills and qualifications needed to thrive in the Machine Learning Scientist position, and why are they important?

To thrive as a Machine Learning Scientist, you need strong skills in mathematics, statistics, programming (typically in Python or R), and a graduate degree in computer science, data science, or a related field. Expertise in machine learning frameworks (such as TensorFlow, PyTorch, or scikit-learn), proficiency with data processing tools, and experience with cloud platforms (like AWS or GCP) are commonly required; certifications in these can be advantageous. Critical thinking, problem-solving, and effective communication are important soft skills for collaborating with cross-functional teams and conveying complex concepts. These abilities enable Machine Learning Scientists to build effective models, deliver actionable insights, and drive innovation within organizations.

What are the most commonly searched types of Machine Learning Scientist jobs in Utah? The most popular types of Machine Learning Scientist jobs in Utah are:
Infographic showing various Machine Learning Scientist job openings in Utah as of July 2026, with employment types broken down into 1% As Needed, 74% Full Time, 23% Part Time, 1% Temporary, and 1% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution.
R&D Data Scientist

R&D Data Scientist

Hexcel Corporation

Salt Lake City, UT • On-site

Other

This job post has expired 1 day ago. Applications are no longer accepted.


Hexcel rating

7.5

Company rating: 7.5 out of 10

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 advance composite materials, including carbon fiber, woven reinforcements, resins, prepregs, honeycombs and engineered core and composite structures. We invite you to join the Hexcel team at various manufacturing sites, sales offices and R&D 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. This person will lead the development and deployment of digital twin technologies that accelerate material, process, and product innovation.This role will focus on building virtual representations of manufacturing processes, materials, and products using advanced analytics, machine learning, physics-based modeling, and AI. The successful candidate will bridge physical experimentation and digital simulation to improve process performance, reduce development cycles, and support next-generation composite material technologies.

The selected individual will be responsible for but not limited to the following obligations:

  • Lead the design, development, validation, and deployment of digital twins for manufacturing processes, material systems, and product development programs.
  • Develop hybrid modeling approaches that combine physics-based models, first-principles engineering, machine learning, and statistical methodologies.
  • Integrate sensor, process, quality, and operational data into digital twin frameworks to improve predictive capabilities and decision-making.
  • Design and implement advanced AI, machine learning, and analytics solutions that enhance model accuracy, process control, and product performance.
  • Collaborate with scientists, engineers, technicians, and manufacturing teams to translate physical system behavior into scalable digital twin architectures.
  • Support experimentation strategies, including Design of Experiments (DOE), active learning, and closed-loop optimization to continuously improve digital twin performance.
  • Develop simulation environments for evaluating process changes, material innovations, and manufacturing outcomes before physical implementation.
  • Establish model governance practices including validation, uncertainty quantification, monitoring, and lifecycle management of digital twin applications.
  • Communicate digital twin insights and recommendations to technical and business stakeholders to drive data-driven innovation and operational excellence.

Required Qualifications

  • Master's degree in data science, Materials Science, Chemical Engineering, Mechanical Engineering, Applied Mathematics, Physics, or a related technical discipline.
  • Minimum 2+ years of experience developing predictive models, digital twins, simulation tools, or advanced analytics solutions in an industrial environment.
  • Demonstrated experience creating and validating digital twin or virtual process models using machine learning, statistical modeling, physics-based modeling, or hybrid approaches.
  • Experience modeling complex physical, chemical, or manufacturing systems.
  • Strong analytical and problem-solving skills with the ability to connect physical processes to data-driven modeling techniques.
  • Proficiency in Python, R, or similar programming languages and associated machine learning ecosystems.
  • Experience with cloud-based data and AI platforms, preferably Microsoft Azure.
  • Strong communication skills with the ability to explain complex modeling concepts to multidisciplinary teams.
  • Eligible candidates must be a U.S. citizen.

Preferred Qualifications

  • Experience with Digital Twin platforms, Industrial IoT architectures, or digital thread initiatives.
  • Experience with Azure Digital Twins, Azure Machine Learning, Azure IoT, Microsoft Fabric, Synapse, or related Microsoft technologies.
  • Experience working with manufacturing data, process optimization, materials development, or composite materials.
  • Familiarity with ML Ops, model deployment, model governance, and continuous monitoring frameworks.
  • Experience utilizing large language models (LLMs), generative AI, or AI agents to support engineering and scientific workflows.
  • Experience applying AI and optimization techniques to material formulation or chemical composition development

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.


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