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Data Science Analytics Jobs in Utah (NOW HIRING)

Architect, build, and productionize ML models and advanced analytical systems that set the standard for data science and MLOps at BambooHR. * Take ownership of part of our existing portfolio of ...

Lead Data Scientist

Draper, UT · On-site +1

$144K - $250K/yr

Bachelor's Degree in Statistics, Mathematics, Engineering, Data Science, Computer Science, or ... Conjoint Analysis * Agentic AI Reports To : Senior Manager and above Direct Reports : 0 Work ...

Role As an individual contributor working within a growing data science team, you will take responsibility for developing market leading, innovative, analytical open banking solutions. Focused in the ...

Strong Python proficiency and experience with common data science libraries (e.g. pandas, scikit-learn, statsmodels) * Familiarity with designing and analyzing A/B tests, with working knowledge of ...

... science project requirements, scope, and deliverables. * Conduct in-depth data exploration, analysis, and visualization to identify trends, patterns, and anomalies, presenting findings clearly and ...

... science project requirements, scope, and deliverables. * Conduct in-depth data exploration, analysis, and visualization to identify trends, patterns, and anomalies, presenting findings clearly and ...

Senior Data Scientist

Lehi, UT · On-site

$200 - $250/hr

... science project requirements, scope, and deliverables. * Conduct in-depth data exploration, analysis, and visualization to identify trends, patterns, and anomalies, presenting findings clearly and ...

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 ...

Senior Data Scientist

Lehi, UT · On-site

$107K - $183K/yr

Your passion and advanced knowledge in data analysis, statistics, AI, and machine learning will be ... Understanding of data science priorities and how each contributes to the success of nCino

Role As an individual contributor working within a growing data science team, you will take responsibility for developing market leading, innovative, analytical open banking solutions. Focused in the ...

... data science or cross-disciplinary team on commercially-facing development projects, typically ... Develop analytics to address customer needs and opportunities. Work alongside software developers ...

... data science or cross-disciplinary team on commercially-facing development projects, typically ... In this role, you will: • Develop analytics to address customer needs and opportunities. • Work ...

Senior Data Scientist

Lehi, UT · On-site

$125 - $150/hr

... analyze complex datasets, and develop, deploy, and monitor data‑driven solutions. Essential ... Undergraduate degree in Data Science, Statistics, Mathematics, Computer Science, or related field ...

Showing results 41-60

Data Science Analytics information

See Utah salary details

$22

$49

$86

How much do data science analytics jobs pay per hour?

As of Sep 8, 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 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 key skills and qualifications needed to thrive as a data science analytics professional?

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 can I do with data science analytics?

Data science analytics involves analyzing large datasets to extract insights, support decision-making, and solve complex problems. Professionals in this field use tools like Python, R, and SQL, and often work in industries such as finance, healthcare, or marketing to develop predictive models and visualize data. Skills in statistics, machine learning, and data visualization are essential for success in this role.

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:

Infographic showing various Data Science Analytics job openings in Utah as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $103,667 per year, or $49.8 per hour.

Data Scientist 2 with Security Clearance

RealmOne

Hill Air Force Base, UT • On-site

Contractor

Re-posted 9 days ago


Job description

Are you VIGILANT about your career? RealmOne definitely is! RealmOne was built on the principle that people matter first and foremost. We believe in providing a strong work/life balance by investing in our employees and encouraging professional and personal growth. We do this by offering exceptional benefits, flexible schedules, and the tools necessary to achieve success through paid training, mentoring, and the opportunity to work alongside top-notch industry professionals. Join us on this journey as we execute this mission-critical contract providing high-end analytics and data science services within the REALM of cybersecurity. Your effort and expertise are crucial to the success and execution of this impactful mission. This opportunity supports a team of Data Scientists, Cryptologic Computer Scientists, Cryptanalytic Computer Scientists, Cryptologic Cyber Planners, Intrusion Analysts, Protocol Analysts, Signals Analysts and Reverse Engineers, responsible for improving, protecting, and defending our Nation's Security.
Job Description: * Seeking Data Scientist that performs tasks associated with Big Data Platform management, utilizes skills in programming languages, develops prototype algorithms, as well as algorithm refinements, and supports data visualization and analytics. The Data Scientist Level 2 shall possess the following capabilities: * Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming, data mining, advanced statistical analysis, advanced mathematical foundations, artificial intelligence, workflow and reproducibility, data management and curation, data modeling and assessment, experience as a data scientist working to support a single or multiple domain areas, and/or software engineering. Experience in more than five areas is strongly preferred. Qualifications: * Bachelor's degree and 3 years' relevant experience OR Associate's degree plus 5 years' experience may be considered for individuals with in-depth experience that is clearly related to the position.
* Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science. A degree in a related field, a degree in the physical/hard sciences, or other science disciplines with a substantial computational component may be considered if it includes a concentration of coursework in advanced mathematics and/or computer science. Position requires active Security Clearance with appropriate Polygraph