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Data Engineer Data Scientist Jobs in Utah (NOW HIRING)

Data Scientist

Lehi, UT ยท On-site

You will work with data scientists, engineers, product teams, and subject-matter experts to explore data, develop analytical solutions, and communicate findings to stakeholders. You will have ...

Data Scientist

Lehi, UT ยท On-site

You will work with data scientists, engineers, product teams, and subject-matter experts to explore data, develop analytical solutions, and communicate findings to stakeholders. You will have ...

New

You will work with data scientists, engineers, product teams, and subject-matter experts to explore data, develop analytical solutions, and communicate findings to stakeholders. You will have ...

New

As a Data Scientist working with Awardco's Go-to-Market (GTM) teams, you'll have the opportunity to ... Partner with our BI and Data Engineering teams on metric definitions and data infrastructure * Work ...

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 ...

As a Data Scientist working with Awardco's Go-to-Market (GTM) teams, you'll have the opportunity to ... Partner with our BI and Data Engineering teams on metric definitions and data infrastructure * Work ...

Data Scientists

Salt Lake City, UT ยท On-site

$75K - $105K/yr

P16 Data Scientist, II Produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets. Apply knowledge of statistics, machine learning, programming, data ...

These teams typically include statisticians, computer scientists, software developers, engineers ... Work with data engineers on data quality assessment, data cleansing and data analytics Generate ...

These teams typically include statisticians, computer scientists, software developers, engineers ... data cleansing and data analytics โ€ข Generate reports, annotated code, and other projects ...

Title and Summary Data Scientist I Who is Mastercard? As a global technology company our mission at ... Work closely with data engineers and developers to build and deploy interactive dashboards ...

Essential Job Duties As a Staff Data Scientist, you will be a senior technical leader for machine ... You'll partner closely with BI Engineers, Data Engineers, Analysts, and divisional operational ...

Independent Smart Good at communicating Capable Python programmer Able to think critically and ... Data scientists are also often called upon to answer questions about how the site currently ...

Lead Data Scientist

Draper, UT ยท On-site +1

$144K - $250K/yr

Bachelor's Degree in Statistics, Mathematics, Engineering, Data Science, Computer Science, or Economics * 8 - 10 years experience in building sophisticated models using machine learning, segmentation ...

This is a product engineering role in which employees work with multiple types of business data ... Mentor and guide junior data scientists, fostering a culture of excellence and continuous learning ...

This is a product engineering role in which employees work with multiple types of business data ... Mentor and guide junior data scientists, fostering a culture of excellence and continuous learning ...

This is a product engineering role in which employees work with multiple types of business data ... Mentor and guide junior data scientists, fostering a culture of excellence and continuous learning ...

This is a product engineering role in which employees work with multiple types of business data ... Mentor and guide junior data scientists, fostering a culture of excellence and continuous learning ...

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Data Engineer Data Scientist information

How do data engineer data scientists typically collaborate with other teams within an organization?

Data Engineer Data Scientists often work closely with data analysts, software engineers, and business stakeholders to ensure that data pipelines are both reliable and tailored to business needs. They are responsible for transforming raw data into actionable insights, which means they regularly participate in cross-functional meetings to understand project requirements and feedback. Collaboration often includes designing data models, optimizing queries, and deploying machine learning models, all while ensuring data integrity and security. This collaborative environment not only enhances the quality of data-driven solutions but also provides opportunities for continuous learning and professional growth.

What are the key skills and qualifications needed to thrive as a data engineer or data scientist, and why are they important?

To thrive as a Data Engineer or Data Scientist, you need a strong background in mathematics, statistics, programming (commonly Python or SQL), and data modeling, often supported by a degree in computer science or a related field. Familiarity with big data frameworks (such as Hadoop or Spark), data visualization tools, and cloud platforms (like AWS or Azure), as well as relevant certifications, is highly beneficial. Analytical thinking, problem-solving, and effective communication are crucial soft skills for translating data insights into actionable business recommendations. These skills and qualities enable professionals to efficiently process complex data, drive data-informed decisions, and add value to organizations.

What is the difference between Data Engineer Data Scientist vs Data Analyst?

AspectData EngineerData Analyst
Required CredentialsBachelor's/Master's in CS, Engineering, or related; often certifications in cloud or big data toolsBachelor's in Statistics, Math, or related; sometimes certifications in analytics tools
Work EnvironmentBuilds data pipelines, manages databases, works with big data toolsAnalyzes data, creates reports, visualizations for business insights
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing, finance, retail, consulting

While Data Engineers focus on building and maintaining data infrastructure, Data Analysts interpret data to provide actionable insights. Both roles require strong technical skills, but Data Engineers are more involved in data architecture, whereas Data Analysts focus on data analysis and reporting.

Can a data engineer work as a data scientist?

A data engineer can transition to a data scientist role since both require strong skills in data manipulation, programming, and understanding of data systems. However, data scientists typically focus more on statistical analysis, machine learning, and modeling, which may require additional training or experience. Familiarity with tools like Python, R, and SQL is common to both roles.
Infographic showing various Data Engineer Data Scientist job openings in Utah as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Data Scientist

Lehi, UT โ€ข On-site

Full-time

Re-posted yesterday


Job description

As a Data Scientist at Epicor, you will help turn data into meaningful insights that support product and business decisions. You will work with data scientists, engineers, product teams, and subject-matter experts to explore data, develop analytical solutions, and communicate findings to stakeholders. You will have opportunities to strengthen your technical skills while contributing to customer-facing analytics and data-driven initiatives. We are seeking applicants with a strong analytical foundation, working knowledge of Python and SQL, and an interest in solving practical business problems with data.
What you will be doing:
  • Analyze structured and unstructured datasets to identify trends, answer business questions, and support data-informed decision-making.
  • Develop, test, and refine statistical and analytical models with support from more experienced team members.
  • Contribute to analytics capabilities aligned with product roadmaps, customer needs, and defined business use cases.
  • Partner with data warehouse engineers, data engineers, product teams, subject-matter experts, and other stakeholders to develop end-to-end analytical solutions.
  • Prepare, clean, transform, and validate data for analysis, modeling, reporting, and experimentation.
  • Evaluate new data sources and analytical methods that may support product or business needs.
  • Document analytical approaches, communicate findings, and support the deployment and ongoing improvement of data science solutions.

What you will likely bring:
  • 2-4 years' experience in data science, analytics, statistical modeling, or a related field, including relevant internships, academic projects, or applied professional experience.
  • Working knowledge of Python and SQL for data analysis, data preparation, modeling, and visualization.
  • Understanding of statistical methods, model evaluation, and analytical problem-solving.
  • Experience working with datasets to identify patterns, test hypotheses, and communicate actionable findings.
  • Familiarity with database concepts, data warehousing, or data-processing workflows.
  • Strong written and verbal communication skills, with the ability to explain findings to technical and nontechnical stakeholders.
  • Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Economics, or a related field, or equivalent practical experience.

What could set you apart:
  • Coursework, academic projects, certifications, or early professional experience involving artificial intelligence, machine learning, or generative AI.
  • Experience using Python libraries such as pandas, NumPy, scikit-learn, or similar analytical tools.
  • Exposure to AI or machine-learning tools, frameworks, application programming interfaces, or cloud-based AI services.
  • Experience applying AI or machine learning to practical business, product, or customer use cases.
  • Exposure to R or other data science and statistical tools.
  • Experience with data-visualization or business-intelligence tools such as Power BI, Tableau, or MicroStrategy.
  • Familiarity with cloud data platforms, distributed data-processing environments, or production analytics workflows.

#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.

  • 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.
Range:
Minimum: $94,000 USD Maximum: $151,000 USD
The salary range provided reflects the national average for this job title and does not represent compensation specific to Epicor Software Corporation. Actual compensation will vary based on experience, qualifications, and market factors relevant to the position.
Recruiter:
Matthew Brady