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Home Based Python Machine Learning Jobs in Park City, UT

... based features in core products * Works on groundbreaking new applications of machine learning and ... Demonstrated competency in R/Python predictive modeling * Demonstrated competency in RDBMS (e.g.

... based features in core products * Works on groundbreaking new applications of machine learning and ... Demonstrated competency in R/Python predictive modeling * Demonstrated competency in RDBMS (e.g.

The role will focus on extending machine learning, predictive modeling, and analytic components to ... Demonstrated competency in R/Python predictive modeling * Demonstrated competency in RDBMS (e.g.

The role will focus on extending machine learning, predictive modeling, and analytic components to ... Demonstrated competency in R/Python predictive modeling * Demonstrated competency in RDBMS (e.g.

Data Scientist

Lehi, UT · On-site

$90 - $120/hr

Demonstrated competency in R/Python predictive modeling. * Demonstrated competency in RDBMS (e.g ... based features in core products. * Works on groundbreaking new applications of machine learning and ...

Demonstrated competency in R/Python predictive modeling * Demonstrated competency in RDBMS (e.g ... based features in core products * Works on groundbreaking new applications of machine learning and ...

Demonstrated competency in R/Python predictive modeling * Demonstrated competency in RDBMS (e.g ... based features in core products * Works on groundbreaking new applications of machine learning and ...

... based environment. * Additional ... Complete familiarity with various statistical and machine learning techniquesincluding ...

... in Python and/or R for data manipulation, statistical analysis, and machine learning model ... Waystar's healthcare payments platform combines innovative, cloud-based technology, robust data ...

... Python Nice to Have Experience * Contributions to research communities and efforts, such as publications at conferences like CVPR, NeurIPS, ICCV, ECCV, ICML, and ICLR * Large scale machine learning ...

... in Python and/or R for data manipulation, statistical analysis, and machine learning model ... Waystar's healthcare payments platform combines innovative, cloud-based technology, robust data ...

... in Python and/or R for data manipulation, statistical analysis, and machine learning model ... Waystar's healthcare payments platform combines innovative, cloud-based technology, robust data ...

Showing results 41-60

Home Based Python Machine Learning information

See Park City, UT salary details

$13

$61

$90

How much do home based python machine learning jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for home based python machine learning in Park City, UT is $61.33, according to ZipRecruiter salary data. Most workers in this role earn between $50.53 and $69.66 per hour, depending on experience, location, and employer.

What is the difference between Home Based Python Machine Learning vs Data Analyst?

AspectHome Based Python Machine LearningData Analyst
Required CredentialsPython programming, machine learning certifications, data analysis skillsData analysis certifications, SQL, Excel, Python or R knowledge
Work EnvironmentRemote, home-based, often project-focusedRemote or on-site, business or client-focused
Industry UsageTech, finance, healthcare, e-commerceBusiness, marketing, finance, healthcare
Common Search/ComparisonYesYes

Home Based Python Machine Learning and Data Analyst roles share overlapping skills like data handling and analysis tools. However, Python Machine Learning focuses more on developing algorithms and models using Python, while Data Analysts primarily interpret data to generate reports and insights. Both roles are in demand for remote work and require analytical skills, but Python Machine Learning positions often demand more advanced programming and machine learning expertise.

What cities near Park City, UT are hiring for Home Based Python Machine Learning jobs?

Cities near Park City, UT with the most Home Based Python Machine Learning job openings:

Infographic showing various Home Based Python Machine Learning job openings in Park City, UT as of August 2026, with employment types broken down into 1% As Needed, 62% Full Time, 31% Part Time, and 6% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $127,558 per year, or $61.3 per hour.

R&D Data Scientist

Hexcel Corporation

Salt Lake City, UT • On-site

Full-time

Re-posted 21 days ago


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 a Research and Development Data Scientist for our Salt 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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