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Data Scientist Jobs in Utah (NOW HIRING)

Data Scientist

Riverton, UT · On-site

$140 - $210/hr

Create and support a cloud-based data science solution as part of the data intelligence team * Create scalable, efficient, automated processes for data analysis and machine learning models * Work ...

New

Data Scientist

Lehi, UT · On-site

$90 - $130/hr

Support deployment and ongoing improvement of data science solutions Requirements * 2-4 years' experience in data science, analytics, statistical modeling, or a related field, including relevant ...

MeetCute needs a data scientist MeetCute has a lot of data, and needs to mine that data to #hackdating. As a growing company, we're looking for smart, curious people to answer questions and provide ...

Data Scientist

Ogden, UT · On-site

$90 - $120/hr

Requiresfull Data Science life cycle development experience within various analytical architectures, including piloting models, A/B testing, underlying data design, and model operationalization.

The data scientist role involves solving technical, data-driven Healthcare problems using computer science, mathematical, predictive modeling and statistical methods, & knowledge. This person will ...

The data scientist role involves solving technical, data-driven Healthcare problems using computer science, mathematical, predictive modeling and statistical methods, & knowledge. This person will ...

Data Scientist

Lehi, UT · On-site

$90 - $120/hr

The data scientist role involves solving technical, data-driven Healthcare problems using computer science, mathematical, predictive modeling, and statistical methods, & knowledge. This person will ...

The data scientist role involves solving technical, data-driven Healthcare problems using computer science, mathematical, predictive modeling and statistical methods, & knowledge. This person will ...

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 ...

Title and Summary Data Scientist I Who is Mastercard? As a global technology company our mission at Mastercard is to connect and power an inclusive, digital economy that benefits everyone, everywhere ...

Lead Data Scientist

Draper, UT · On-site +1

$144K - $250K/yr

The Lead Data Scientist is pivotal in generating insights and supporting the enterprise's data science needs, as well as enhancing the team's industry competence through research in Artificial ...

Title and Summary Senior Data Scientist Who is Mastercard? As a global technology company our mission at Mastercard is to connect and power an inclusive, digital economy that benefits everyone ...

We are seeking a dedicated Data Scientist III with a passion for statistics, machine learning, and solving real‑world problems with robust data. The ideal candidate understands how to apply the ...

We are seeking a dedicated Data Scientist III with a passion for statistics, machine learning, and solving real-world problems with robust data. The ideal candidate understands how to apply the ...

We are seeking a dedicated Data Scientist III with a passion for statistics, machine learning, and solving real-world problems with robust data. The ideal candidate understands how to apply the ...

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Showing results 1-20

Data Scientist information

See Utah salary details

$34.1K

$111.7K

$178.9K

How much do data scientist jobs pay per year?

As of Aug 23, 2026, the average yearly pay for data scientist 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 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, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks, data visualization tools, and big data platforms like TensorFlow, Tableau, and Hadoop, as well as certifications in data science, are highly valued. Excellent problem-solving skills, curiosity, and the ability to communicate complex findings clearly set outstanding data scientists apart. These skills and qualities are crucial for extracting actionable insights from data, driving business decisions, and collaborating effectively with stakeholders.

What do data scientists do?

Data scientists collect, confirm, and interpret data to determine useful information for their employer. They help organizations identify patterns and trends in their data to provide information about lucrative opportunities, necessary improvements, and potential innovations. The information data scientists get from the records they gather helps businesses make major decisions in critical areas, such as product development, sales and marketing techniques, and client retention. Data scientists are highly educated; the majority of them have at least a master's degrees, and many have doctorates. Data scientists are valuable members of organizations in many different industries, including pharmaceuticals, manufacturing, and banking.

What are some typical projects data scientists work on, and how do they collaborate with other teams?

Data Scientists often work on projects such as building predictive models, analyzing large datasets to uncover trends, and developing data-driven solutions to business problems. They regularly collaborate with cross-functional teams, including software engineers, data engineers, and business analysts, to ensure that their insights are actionable and aligned with business goals. Effective communication and teamwork are essential, as Data Scientists frequently need to present complex findings to non-technical stakeholders and incorporate feedback from various departments.

What is the difference between Data Scientist vs Data Analyst?

AspectData Scientist
Required CredentialsDegree in Computer Science, Statistics, or related field; often requires advanced degrees
Work EnvironmentResearch and development, predictive modeling, machine learning projects
Employer & Industry UsageTech companies, finance, healthcare, consulting firms
Common Search & ComparisonOften compared due to overlapping skills in data analysis and modeling

Data Scientists focus on building predictive models, advanced analytics, and machine learning, often requiring higher-level technical skills and education. Data Analysts primarily interpret existing data, generate reports, and support decision-making with descriptive analytics. While both roles analyze data, Data Scientists handle complex modeling and predictive tasks, whereas Data Analysts focus on data interpretation and reporting.

Is a data scientist job still in demand?

Yes, data scientist roles remain in high demand across various industries due to the increasing reliance on data-driven decision making. Skills in machine learning, statistical analysis, and programming languages like Python or R are highly valued, and employment opportunities continue to grow as organizations seek to leverage big data for competitive advantage.

What does a data scientist do exactly?

A data scientist analyzes large datasets to extract insights, build predictive models, and support decision-making. They use statistical techniques, programming languages like Python or R, and tools such as SQL and machine learning algorithms to interpret data and solve complex problems.

What are the most commonly searched types of Data Scientist jobs in Utah?

The most popular types of Data Scientist jobs in Utah are:

What cities in Utah are hiring for Data Scientist jobs?

Cities in Utah with the most Data Scientist job openings:

What are popular job titles related to Data Scientist jobs in UT?

For Data Scientist jobs in UT, the most frequently searched job titles are:

Infographic showing various Data Scientist job openings in Utah as of August 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.

Data Scientist

Jobtailor

Riverton, UT • On-site

$140 - $210/hr

Other

Posted yesterday

New


Job description

  • Execute large-scale models using advanced analytical, modeling, and machine learning techniques
  • Create and support a cloud-based data science solution as part of the data intelligence team
  • Create scalable, efficient, automated processes for data analysis and machine learning models
  • Work closely with data engineers and product managers to turn data analysis into actionable algorithms
  • Champion a data-driven culture and develop data science capabilities
  • Create standards and procedures for data science teams
  • Provide direction for strategic plans and product roadmaps
  • Inform requirements related to creating, tracking, collecting, and accessing data
  • Analyze and protect data, including troubleshooting
  • Follow data science best practices
  • Fulfill the technical lead role for data science solutions
  • Respond to escalated incidents and engage vendors as necessary
  • Conduct research and evaluate emerging trends
  • Aid and mentor teammates
Requirements
  • Master's degree required
  • 12 years of relevant professional experience, including eight years supporting product development activities and guiding technology decisions
  • Experience with machine learning algorithms, including Linear Regression, Multiple Regression, Decision Trees, Random Forest, Logistic Regression, Naïve Bayes, SVM, K-means, Hierarchical Clustering, Deep Learning, and NLP
  • Expert knowledge of machine learning libraries such as scikit-learn, TensorFlow, and Keras
  • Significant experience with data mining and statistical analysis
  • Experience leading exploratory analysis with large datasets
  • Ability to lead knowledge discovery and machine learning model development
  • Established track record with data wrangling and data transformation
  • Expert coding ability in an advanced coding language such as Python
  • Senior-level understanding of statistics and mathematics
  • Ability to work with large, complex datasets using SQL or Python
  • Quantitative aptitude and ability to gather and interpret data
  • Comprehensive knowledge of multiple fields of specialization
  • Expertise in automation and deployment
  • Experience in a structured, enterprise-scale operational environment on a global scale with thousands of users
  • Exceptional written and verbal communication, including explaining complex concepts to non-technical audiences
  • Ability to mentor and train peers
  • Strong understanding of supported business processes
  • Troubleshooting ability under pressure and ability to resolve complex problems
  • Must be a member of The Church of Jesus Christ of Latter-day Saints and currently temple worthy
  • PhD degree preferred
  • Ability to meet physical requirements such as sitting for long periods and using computer monitors/equipment
Core Competencies

Demonstrates expertise in machine learning algorithms and advanced analytical techniques, with a strong ability to lead data science initiatives and mentor teams. Proficient in creating scalable data solutions and automating processes while ensuring adherence to best practices in data science.

Highest-signal resume keywords
  • Machine Learning Algorithms
  • Expert Knowledge of Scikit-learn
  • Advanced Coding in Python
  • Data Wrangling and Transformation
  • Statistical Analysis
ATS Optimization Keywords Hard Skills
  • Machine Learning Algorithms
  • Data Mining
  • Statistical Analysis
  • Data Wrangling
  • Data Transformation
  • Automation and Deployment
  • SQL
  • Deep Learning
  • Natural Language Processing
  • Quantitative Aptitude
Soft Skills
  • Exceptional Communication
  • Mentoring Ability
  • Troubleshooting Under Pressure
Certifications & Qualifications
  • Master's Degree
  • PhD Degree Preferred
Industry Keywords
  • Data Science Best Practices
  • Data-driven Culture
  • Product Development Activities
  • Enterprise-scale Operational Environment
Tools & Technologies
  • TensorFlow
  • Keras
  • Cloud-based Data Solutions
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