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Data Science Analytics Jobs in Utah (NOW HIRING)

swirecc

Data Scientist

Draper, UT · On-site

... data science and advanced analytics for large manufacturing and retail company. Employ Artificial Intelligence and Machine Learning techniques across all business channels, customer and consumer ...

swirecc

Data Scientist

Draper, UT · On-site

... data science and advanced analytics for large manufacturing and retail company. Employ Artificial Intelligence and Machine Learning techniques across all business channels, customer and consumer ...

swirecc

Data Scientist

Draper, UT · On-site

... data science and advanced analytics for large manufacturing and retail company. Employ Artificial Intelligence and Machine Learning techniques across all business channels, customer and consumer ...

Snap Finance

Data Scientist III

West Valley City, UT · On-site

Demonstrated ability to take data science projects from development to production. * Skilled analyst who produces regular reporting content for key stakeholder meetings, responds to ad hoc analysis ...

Meetcute

Data Scientist

Provo, UT · On-site

Several years of data science experience are preferred. Requirements You need to be: Independent ... First, and most importantly, is the design and analysis of experiments. We run a substantial number ...

HEXCEL Corp

R&D Data Scientist

Salt Lake City, UT

Collect, preprocess, and analyze large and complex datasets to extract actionable insights supporting process and product development efforts. * Design and implement advanced data science and AI ...

Brevium

Data Analyst Assistant

American Fork, UT · On-site

$20 - $22/hr

Our team is dedicated to delivering advanced data analytics and insights to empower healthcare professionals. Responsibilities: * Collaborate with the data science team to understand, enhance, and ...

Brevium

Data Analyst Assistant

American Fork, UT · On-site

$20 - $22/hr

Our team is dedicated to delivering advanced data analytics and insights to empower healthcare professionals. Responsibilities: * Collaborate with the data science team to understand, enhance, and ...

Crumbl

Data Engineer

Provo, UT · On-site

$108K - $130K/yr

Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and ensure data quality * Develop and maintain documentation, including data dictionaries, workflow ...

MasterCard

Lead Data Scientist

Holladay, UT · On-site +1

... analytical, and possesses an entrepreneurial mindset. Role - Lead, mentor and grow the data science team and tech stack focused on developing production-grade services and capabilities - Plan and ...

Crumbl

Data Engineer

Provo, UT

$108K - $130K/yr

Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and ensure data quality * Develop and maintain documentation, including data dictionaries, workflow ...

nCino

Senior Data Scientist

Lehi, UT · On-site

The role involves collaborating with stakeholders to analyze datasets, extract insights, and ... Qualifications : Required : • Undergraduate degree in Data Science, Statistics, Mathematics ...

Crumbl

Data Engineer

Provo, UT

$108K - $130K/yr

Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and ensure data quality * Develop and maintain documentation, including data dictionaries, workflow ...

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All JobsData Science Analytics JobsData Science Analytics Jobs in Utah

Data Science Analytics information

See Utah salary details

$22

$49

$86

How much do data science analytics jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for data science analytics in Utah is $49.84, according to ZipRecruiter salary data. Most workers in this role earn between $40.05 and $56.44 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Science Analytics professional, and why are they important?

To thrive in Data Science Analytics, a strong background in statistics, data modeling, and programming (often with a degree in computer science, mathematics, or a related field) is essential. Familiarity with tools such as Python, R, SQL, and data visualization platforms like Tableau or Power BI, as well as knowledge of machine learning libraries, is typically required. Critical thinking, problem-solving, and effective communication skills help professionals translate complex data insights into actionable business strategies. These competencies are crucial for extracting meaningful information from data and driving informed decision-making within organizations.

How do data science analytics professionals typically collaborate with other departments within an organization?

Data science analytics professionals often work closely with teams across the organization, such as marketing, finance, product development, and IT. Their role involves understanding business needs, gathering requirements, and translating complex data findings into actionable insights for non-technical stakeholders. Effective communication and teamwork are essential, as data scientists may participate in cross-functional meetings, present their analyses, and tailor their recommendations to support strategic decision-making. This collaborative approach not only enhances the impact of analytics projects but also fosters continuous learning and innovation within the organization.

What is the difference between Data Science Analytics vs Data Analyst?

AspectData Science AnalyticsData Analyst
Required CredentialsDegree in Data Science, Statistics, or related fields; programming skillsDegree in Statistics, Mathematics, or related fields; proficiency in Excel and SQL
Work EnvironmentOften involves complex modeling, machine learning, and predictive analyticsFocuses on data cleaning, reporting, and visualization
Employer & Industry UsageTech companies, finance, healthcare, and research institutionsBusiness, marketing, finance, and operations across various industries

Data Science Analytics and Data Analysts both work with data, but Data Science Analytics typically involves advanced modeling and predictive techniques, while Data Analysts focus on data reporting and visualization. The roles often overlap, but Data Science Analytics requires more technical skills and a deeper understanding of algorithms.

What is data science analytics?

Data science analytics is the process of extracting insights and knowledge from data using statistical, mathematical, and computational techniques. It involves collecting, cleaning, analyzing, and visualizing data to help organizations make informed decisions. Professionals in this field use tools like Python, R, and SQL to interpret complex data sets, build predictive models, and identify trends or patterns. Data science analytics plays a key role in industries such as finance, healthcare, retail, and technology, enabling businesses to optimize operations and improve outcomes.
What are the most commonly searched types of Data Science Analytics jobs in Utah? The most popular types of Data Science Analytics jobs in Utah are:
What are popular job titles related to Data Science Analytics jobs in Utah? For Data Science Analytics jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Data Science Analytics jobs in Utah look for? The top searched job categories for Data Science Analytics jobs in Utah are:
Data Science Analytics jobs near you
Infographic showing various Data Science Analytics job openings in Utah as of July 2026, with employment types broken down into 1% Internship, 90% Full Time, 7% Part Time, and 2% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $103,667 per year, or $49.8 per hour.

Data Scientist

swirecc

Draper, UT • On-site

Other

Posted 23 days ago

Job description

Swire Pacific Holdings, Inc. DBA Swire Coca-Cola, USA seeks a Data Scientist to conduct data science and advanced analytics for large manufacturing and retail company. Employ Artificial Intelligence and Machine Learning techniques across all business channels, customer and consumer segments, markets and products. Pursue use cases to analyze and drive revenue, lower costs, increase speed, and reduce risk. Use Databricks to transform raw data into cognizable information. Use statistical analysis and advanced machine learning techniques to build descriptive, diagnostic and predictive models. Use ML Ops to deploy models. Use PowerBI for business reporting and dashboards to enable decision making. Evaluate implications of findings on business outcomes, and communicate and document work. Use Python and SQL to model real-world outcomes. Employ PySpark for distributed data processing on the Cloud. Use Agile methodology for continuous improvement and development. #LI-DNI

Position requires a Master’s degree in Business Analytics or an equivalent field, and 2 years of experience as a  Data Scientist. Proficiencies must include a minimum of: experience with Power BI; experience with Databricks; experience with Supervised and Unsupervised Machine Learning; experience with SQL; experience with Python; experience with PySpark; experience with  Statistical Analysis; experience with Predictive Analysis; and experience with Agile Methodology. #LI-DNI 

Job location: Draper, UT.

Alternatively, please send your resume, cover letter, and a copy of the ad to: Amber Ivie, 12634 South 265 West, Draper, UT 84020.

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