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Data Science Jobs in Orem, UT (NOW HIRING)

Waystar

Sr. Data Scientist

Lehi, UT · On-site

... Science degree or higher in the fields of Computer Science, Statistics, or Mathematics • An aptitude for medical informatics Company : Waystar is a technology platform that provides healthcare ...

Upbound

Data Engineer IV - AI & Data Products

Draper, UT

$107K - $128K/yr

Collaborate with business leaders, Executives, Data Scientists, BI Analytics, Product, Engineering, and other operational departments to ensure successful delivery of data solutions and data assets ...

Five Star Franchising LLC

Data Engineer

Springville, UT · On-site

$105K - $127K/yr

Bachelor's degree in Data Science, Computer Science, or a related field. Relevant work experience may be considered in lieu of a degree. * 5+ years experience in a data analytics or engineering role ...

Atonom

Data Engineer

Provo, UT · On-site

$109K - $131K/yr

Recent graduate (or soon to be) in Computer Science, Data Science, Data Engineering, Software Engineering, or a related technical field. Self-taught candidates with relevant projects are also welcome.

Atonom

Data Engineer

Provo, UT · On-site

$109K - $131K/yr

Recent graduate (or soon to be) in Computer Science, Data Science, Data Engineering, Software Engineering, or a related technical field. Self-taught candidates with relevant projects are also welcome.

Atonom

Data Engineer

Provo, UT · On-site

Recent graduate (or soon to be) in Computer Science, Data Science, Data Engineering, Software Engineering, or a related technical field. Self-taught candidates with relevant projects are also welcome.

Atonom

Data Engineer

Provo, UT · On-site

$50K - $90K/yr

Recent graduate (or soon to be) in Computer Science, Data Science, Data Engineering, Software Engineering, or a related technical field. Self-taught candidates with relevant projects are also welcome.

Atonom

AI Data Engineer

Provo, UT · On-site

$109K - $131K/yr

Recent graduate (or soon to be) in Computer Science, Data Science, Software Engineering, Information Systems, or a related technical field. Self-taught candidates with a strong portfolio are also ...

Atonom

AI Data Engineer

Provo, UT · On-site

$50K - $90K/yr

Recent graduate (or soon to be) in Computer Science, Data Science, Software Engineering, Information Systems, or a related technical field. Self-taught candidates with a strong portfolio are also ...

Atonom

AI Data Engineer

Provo, UT · On-site

$109K - $131K/yr

Recent graduate (or soon to be) in Computer Science, Data Science, Software Engineering, Information Systems, or a related technical field. Self-taught candidates with a strong portfolio are also ...

Atonom

AI Data Engineer

Provo, UT · On-site

Recent graduate (or soon to be) in Computer Science, Data Science, Software Engineering, Information Systems, or a related technical field. Self-taught candidates with a strong portfolio are also ...

Pattern

Data Engineer

Lehi, UT · On-site

$107K - $129K/yr

Bachelor's Degree in Data Science, Data Analytics, Information Management, Computer Science, Information Technology, related field, or equivalent professional experience. * 3-5 years of experience ...

Pattern

Data Engineer

Lehi, UT · On-site

$107K - $129K/yr

Bachelor's Degree in Data Science, Data Analytics, Information Management, Computer Science, Information Technology, related field, or equivalent professional experience. * 3-5 years of experience ...

Pattern

Data Engineer

Lehi, UT · On-site

$107K - $129K/yr

Bachelor's Degree in Data Science, Data Analytics, Information Management, Computer Science, Information Technology, related field, or equivalent professional experience. * 3-5 years of experience ...

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Showing results 41-60

All JobsData Science JobsData Science Jobs in Orem, UT

Data Science information

See Orem, UT salary details

$32.6K

$106.7K

$170.8K

How much do data science jobs pay per year?

As of Aug 9, 2026, the average yearly pay for data science in Orem, UT is $106,705.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,600.00 and $118,200.00 per year, depending on experience, location, and employer.

Is a data scientist in high demand?

Yes, data scientists are in high demand across many industries due to the increasing reliance on data-driven decision making. The role requires skills in programming, statistics, and machine learning, and job growth is expected to continue as organizations expand their data capabilities.

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

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

What does a data scientist do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.
More about Data Science jobs
What are the most commonly searched types of Data Science jobs in Orem, UT? The most popular types of Data Science jobs in Orem, UT are:
What are popular job titles related to Data Science jobs in Orem, UT? For Data Science jobs in Orem, UT, the most frequently searched job titles are:
What job categories do people searching Data Science jobs in Orem, UT look for? The top searched job categories for Data Science jobs in Orem, UT are:
What cities near Orem, UT are hiring for Data Science jobs? Cities near Orem, UT with the most Data Science job openings:
Data Science jobs near you
Infographic showing various Data Science job openings in Orem, UT as of August 2026, with employment types broken down into 3% Internship, 88% Full Time, 6% Part Time, and 3% Nights. Highlights an 91% In-person, 6% Hybrid, and 3% Remote job distribution, with an average salary of $106,705 per year, or $51.3 per hour.

Data Engineer IV - AI & Data Products

Upbound Group, Inc.

Draper, UT • On-site

$107K - $128K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 18 days ago

Job description

Job Description:
Data Engineer IV - AI & Data Products
(Draper UT, In-Office)
Upbound Group, Inc. (NASDAQ: UPBD) is a technology and data-driven leader in accessible and inclusive financial solutions that address the evolving needs and aspirations of underserved customers. The Company's customer-facing operating units include industry-leading brands such as Acima, Brigit, and Rent-A-Center that facilitate consumer transactions across a wide range of store-based and digital channels, including over 2,300 company branded retail units across the United States, Mexico, and Puerto Rico. Upbound Group, Inc. is headquartered in Plano, Texas.
KEY RESPONSIBILITIES
Data Products & Data Integration
  • Define, build, validate and maintain domain-specific data product assets and data pipelines.
  • Collaborate with analytics and business partners to define and build semantic layers/models to support various personas - Report consumers, Self-Service and Advanced SQL Analysts, Data Scientists and AI use cases/agents.
  • Create and maintain data domain assets (pipelines/ETLs, sematic models and other assets) using Python, SQL, and other approved tools.
  • Build high quality solutions and assets aligned to defined architectural guidelines, data integration patterns, frameworks, and tools.
  • Build solutions aligned to security, risk, and compliance guidelines.
  • Support analysts and product teams with data products and assigned data domain expertise.
  • Assemble large complex data sets that meet functional/non-functional business requirements.
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery and re-designing infrastructure for greater scalability.
  • Perform data analysis required to troubleshoot data related issues and assist in the resolution of data issues.

Data Governance & Quality
  • Manage business glossary in collaboration with business teams and build/maintain technical metadata for assigned data domains.
  • Define data quality rules and controls for assigned data domains and data assets (consumption, gold, silver, bronze layer tables).
  • Validate domain datasets for accuracy and completeness. Ensure domain data is of high quality and consumable by reporting, analytics, data science, and AI use cases.

Stakeholder Collaboration
  • Collaborate with business leaders, Executives, Data Scientists, BI Analytics, Product, Engineering, and other operational departments to ensure successful delivery of data solutions and data assets (consumption, gold, silver, bronze layer tables)
  • Translate business requirements into Data Products and data assets (consumption, gold, silver, bronze layer tables & pipelines) build specifications.

SKILLS, EXPERIENCES & QUALIFICATIONS
  • 8+ years of experience in Data Engineering roles
  • 2+ years of warehouse data modeling and pipeline design experience
  • Experience with data warehousing: Snowflake or similar systems
  • Strong Python experience
  • Strong SQL experience
  • Strong REST API experience
  • Experience using Linux.
  • Ability and motivation to learn new technologies quickly with minimal support and guidance.
  • Strong communication skills
  • Experience supporting and working with cross-functional teams in a dynamic environment.

Additional Experience:
  • AI-Driven Data Engineering Mindset - Hands-on experience using AI-assisted development tools (e.g., Copilot, generative AI) to accelerate pipeline design, code generation, and troubleshooting.
  • Intelligent Pipeline Development - Ability to design pipelines that incorporate AI for data transformation, anomaly detection, data classification, and schema evolution.
  • AI-Enabled Data Quality & Observability - Experience using AI/ML techniques for automated data quality checks, root cause analysis, and proactive monitoring.

Metadata & Semantic Layer Enrichment - Ability to use AI to auto-generate metadata, data documentation, semantic mappings, and business glossary entries
COMPENSATION/BENEFITS
  • Full health benefits-Medical/Dental/Vision
  • 401(k) match, 6%/3%
  • DTO (discretionary time off)
  • Health savings account (HSA) with company contribution
  • College tuition reimbursement program (STEAM degrees)
  • Unlimited use of Linkedin Learning
  • Free car charging
  • Onsite gym and showers

SPONSORSHIP
Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time.
Upbound is an equal opportunity employer committed to ensuring that all employment decisions are made on a non-discriminatory basis, and without regard to actual or perceived race.
Upbound Group is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Apply