1

Data Scientist Machine Learning Jobs in Utah (NOW HIRING)

As a Principal Data Scientist at Epicor, you will be the technical leader driving advanced analytics, machine learning, and AI strategy across our product ecosystem. You will guide data scientists ...

As a Principal Data Scientist at Epicor, you will be the technical leader driving advanced analytics, machine learning, and AI strategy across our product ecosystem. You will guide data scientists ...

... preparing students for data science roles and advanced AI coursework. * Conceptual Teaching ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

... preparing students for data science roles and advanced AI coursework. * Conceptual Teaching ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

... preparing students for data science roles and advanced AI coursework. * Conceptual Teaching ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

... preparing students for data science roles and advanced AI coursework. * Conceptual Teaching ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Senior Machine Learning Engineer

Draper, UT · On-site

$114.50K - $151K/yr

As a Senior Machine Learning Engineer, you will design, build, and deploy machine learning ... and data scientists to translate business requirements into scalable ML solutions • Analyze ...

Senior Machine Learning Engineer

Draper, UT · On-site

$97.70K - $134.20K/yr

As a Senior Machine Learning Engineer , you'll play a pivotal role in designing, building, and ... Collaborate cross-functionally with product managers, engineers, and data scientists to translate ...

The Lead Data Scientist will build and lead the Data Science function, addressing strategic and ... machine learning techniques (clustering, decision tree learning, artificial neural networks, etc ...

As an Applied AI Scientist , you will collaborate with the Enterprise Data Analytics team to ... Discover, clean, and transform data for analysis * Design and build analytical and machine learning ...

As an Applied AI Scientist , you will collaborate with the Enterprise Data Analytics team to ... Discover, clean, and transform data for analysis * Design and build analytical and machine learning ...

As an Applied AI Scientist , you will collaborate with the Enterprise Data Analytics team to ... Discover, clean, and transform data for analysis * Design and build analytical and machine learning ...

As a Machine Learning Engineer, you will prepare datasets, train and optimize models, and maintain ... You collaborate with engineers, data scientists, and product teams to define problems, test ...

Within this group, the Lead Data Scientist will address strategic and operational questions facing ... Advanced knowledge of, and experience with, a variety of machine learning techniques (clustering ...

next page

Showing results 1-20

Data Scientist Machine Learning information

See Utah salary details

$34.1K

$111.7K

$178.9K

How much do data scientist machine learning jobs pay per year?

As of May 28, 2026, the average yearly pay for data scientist machine learning in Utah is $111,737.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,700.00 and $123,800.00 per year, depending on experience, location, and employer.

What is a Data Scientist Machine Learning job?

A Data Scientist specializing in Machine Learning (ML) uses statistical methods, algorithms, and computational power to analyze data and create predictive models. They work with large datasets to identify patterns, train machine learning models, and improve decision-making processes. Responsibilities often include data cleaning, feature engineering, model selection, and performance evaluation. They may collaborate with engineers and business teams to deploy models in real-world applications. Strong skills in programming (Python, R), ML frameworks (TensorFlow, Scikit-learn), and data visualization are essential.

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

To excel as a Data Scientist Machine Learning, you need a strong proficiency in statistics, programming (typically Python or R), and a solid understanding of machine learning algorithms, usually backed by a degree in computer science, mathematics, or a related field. Familiarity with tools such as TensorFlow, scikit-learn, SQL databases, and cloud platforms, as well as certifications in data science or machine learning, is commonly expected. Analytical thinking, problem-solving skills, and effective communication are vital soft skills in this profession. These qualifications combine to drive impactful insights and enable the successful development and deployment of machine learning models in business environments.

What are the typical day-to-day responsibilities of a Data Scientist Machine Learning?

On a typical day, a Data Scientist specializing in Machine Learning might gather and preprocess data, design and implement machine learning models, and evaluate their performance to solve real-world problems. They often collaborate with data engineers, software developers, and business stakeholders to translate business objectives into technical solutions and integrate models into existing systems. Other responsibilities can include visualizing data insights, conducting experiments to tune algorithms, and staying current with new developments in the field. The work is highly collaborative and iterative, requiring clear communication with various teams to ensure project goals are met efficiently.
What are the most commonly searched types of Data Scientist Machine Learning jobs in Utah? The most popular types of Data Scientist Machine Learning jobs in Utah are:
What are popular job titles related to Data Scientist Machine Learning jobs in Utah? For Data Scientist Machine Learning jobs in Utah, the most frequently searched job titles are:
Infographic showing various Data Scientist Machine Learning job openings in Utah as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $111,737 per year, or $53.7 per hour.
Principal Data Scientist

Principal Data Scientist

Epicor

Lehi, UT • Hybrid

Other

Posted 4 days ago


Job description

As a Principal Data Scientist at Epicor, you will be the technical leader driving advanced analytics, machine learning, and AI strategy across our product ecosystem. You will guide data scientists and analytics engineers, shape the technical architecture of ML solutions, and ensure our analytics experiences are impactful, intuitive, and aligned with real customer use cases. You will be responsible for influencing product direction, introducing emerging technologies, and delivering highvalue models that scale across complex datasets and customer environments. We are seeking applicants with deep technical expertise, strong leadership instincts, and the ability to partner across teams to deliver meaningful business outcomes.
What you will be doing:
  • Provide technical leadership, mentorship, and industry expertise to data scientists and analytics engineers, guiding highcomplexity modeling and solution design.
  • Lead the development of analytics product packages aligned with product roadmaps or customer contracts, ensuring the enduser experience maps to clear business use cases.
  • Conduct research, perform advanced statistical and ML modeling, and drive the frontend analytics user experience for customerfacing solutions.
  • Partner across crossfunctional analytics teams-including DW engineers, ETL engineers, data science engineers, data production teams, SMEs, and customers-to architect endtoend analytics solutions.
  • Evaluate and integrate emerging analytics technologies, new data sources, and modern ML/AI approaches to keep Epicor's analytics offerings innovative and competitive.
  • Develop and apply advanced models and algorithms to improve operations, enhance customer outcomes, and answer complex business questions.
  • Mine and analyze large, complex, and unstructured datasets using sophisticated statistical methods to drive datainformed decisionmaking and product excellence.
  • Collaborate with product operations leadership to ensure high availability, performance, and reliability of analytics solutions that meet or exceed contracted service levels.
What you will likely bring:
  • 9+ years' experience building, deploying, and supporting largescale analytics, ML, or AI solutions.
  • Advanced proficiency in Python, including expertise in building ML/AI models at scale.
  • Experience with PyTorch, ML SDKs, and productiongrade machine learning frameworks.
  • Strong background working with large datasets and architecting scalable data science solutions.
  • Advanced analytical thinking, statistical and mathematical expertise, and skill in solving highly complex technical problems.
  • Experience with SQL and/or Python for analytics, and exposure to database modeling and datawarehousing concepts.
  • Experience with frontend analytics platforms such as MicroStrategy, Power BI, or Tableau.
  • Experience implementing ML or data science routines in Python and/or R.
What could set you apart:
  • Experience with GPUaccelerated ML or deep learning workflows.
  • Experience writing, interpreting, or applying ML/AI whitepapers or research findings.
  • Ability to influence and lead crossfunctional technical decisions across finance, professional services, engineering, and product teams.
  • Experience with big data pipelines and distributed compute environments.
  • Strong capability in advanced data visualization and highvolume BI tools such as Tableau or MicroStrategy.

#LI-HYBRID #LI-MB2

About Epicor

At Epicor, we're truly a team. Join 5,000 talented professionals in creating a world of better business through data, AI, and cognitive ERP. We help businesses stay future-ready by connecting people, processes, and technology. From software engineers who command the latest AI technology to business development reps who help us seize new opportunities, the work we do matters. Together, Epicor employees are creating a more resilient global supply chain.

We're Proactive, Proud, Partners.


Whatever your career journey, we'll help you find the right path. Through our training courses, mentorship, and continuous support, you'll get everything you need to thrive. At Epicor, your success is our success. And that success really matters, because we're the essential partners for the world's most essential businesses-the hardworking companies who make, move, and sell the things the world needs.

Competitive Pay & Benefits

  • Health and Wellness: Comprehensive health and wellness benefits designed to support your overall well-being.

  • Internal Mobility: Opportunities for mentorship, continuing education, and focused career goal setting, with 25% of positions filled internally.

  • Career Development: Free LinkedIn Learning licenses for everyone, along with our Mentoring Program to boost your personal development.

  • Education Support: Geographically specific programs to balance the cost of education with the benefits of continued learning and personal development.

  • Inclusive Workplace: Collaborate with a diverse team in an inclusive, global workplace that fosters innovation and celebrates partnership.

  • Work-Life Balance: Policies built on mutual trust and support, encouraging time off to rest, recharge, and reconnect.

  • Global Mobility: Comprehensive support for international relocations and permanent residency processes.

Equal Opportunities and Accommodations Statement

Epicor is committed to creating a workplace and global community where inclusion is valued; where you bring the whole and real you-that's who we're interested in. If you have interest in this or any role- but your experience doesn't match every qualification of the job description, that's okay- consider applying regardless.

We are an equal-opportunity employer.

Recruiter:

Matthew Brady