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Data Scientist Jobs in Utah (NOW HIRING)

Crew Career Center

Sr. Data Scientist

Lehi, UT

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

University of Utah

Data Scientists

Salt Lake City, UT · On-site

$75K - $105K/yr

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

Entrata

Senior Data Scientist

Lehi, UT · On-site +1

$133K - $213K/yr

We are seeking a Senior Data Scientist to help improve the quality and performance of Entrata's AI models and applications. This role will focus on fine-tuning strategy, training data ...

Entrata

Senior Data Scientist

Lehi, UT · On-site +1

$133K - $213K/yr

We are seeking a Senior Data Scientist to help improve the quality and performance of Entrata's AI models and applications. This role will focus on fine-tuning strategy, training data ...

One Park Financial

Senior Data Scientist

Salt Lake City, UT · On-site

$120 - $180/hr

About the Role We are looking for a seasoned Senior Data Scientist to join our Analytics team to enable core business transformation. This role is about building and pressure-testing the models and ...

Waystar

Sr. Data Scientist

Lehi, UT · On-site

They are seeking an experienced Data Scientist to solve healthcare-related problems using data-driven methods and collaborate with various teams to enhance machine learning and predictive modeling ...

Hexcel

R&D Data Scientist

Salt Lake City, UT · On-site

$80 - $110/hr

Research and Development Data Scientist** for our **Salt Lake City, UT, USA****The selected individual will be responsible for but not limited to the following obligations:*** Develop, validate, and ...

Entrata

Senior Data Scientist

Lehi, UT · On-site

$133K - $213K/yr

We are seeking a Senior Data Scientist to help improve the quality and performance of Entrata's AI models and applications. This role will focus on fine-tuning strategy, training data ...

Mastercard, Inc.

Data Scientist I

Salt Lake City, UT · On-site

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 ...

BambooHR

Staff Data Scientist

Draper, UT · Hybrid

Essential Job Duties As a Staff Data Scientist, you will be a senior technical leader for machine learning and advanced analytics on the Data & Business Intelligence team. You will own our production ...

Hexcel Corporation

R&D Data Scientist

Salt Lake City, UT · On-site +1

Become a part of the "strength within." Hexcel is currently seeking a Research and Development Data Scientist for our Salt Lake City, UT, USA. This person will lead the development and deployment of ...

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Showing results 41-60

All JobsData Scientist JobsData Scientist Jobs in Utah

Data Scientist information

See Utah salary details

$34.1K

$111.7K

$178.9K

How much do data scientist jobs pay per year?

As of Sep 3, 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.
More about Data Scientist jobs

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

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

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

What job categories do people searching Data Scientist jobs in Utah look for?

The top searched job categories for Data Scientist jobs in Utah are:

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

Data Scientist jobs near you
Infographic showing various Data Scientist job openings in Utah as of August 2026, with employment types broken down into 89% Full Time, and 11% Part Time. Highlights an 89% In-person, and 11% Hybrid job distribution, with an average salary of $111,737 per year, or $53.7 per hour.

Sr. Data Scientist

Crew Career Center

Lehi, UT

Full-time

Medical, Retirement, PTO

Re-posted 19 days ago

Job description

ABOUT THIS POSITION

We are looking for an experienced Data Scientist, who has previously supported Healthcare software applications. The data scientist role involves solving technical, data-driven Healthcare problems using computer science, mathematical, predictive modeling and statistical methods, & knowledge. This person will interact with teams from Account Management to Application Engineering and R&D, to conduct detailed analysis and experimentation to maximize the utility of predictive modeling, analytic and machine learning across Waystar's product line. The role will focus on extending machine learning, predictive modeling, and analytic components to provide up-to-date intelligence to Healthcare providers maximizing outcomes. An ideal candidate for this position can approach problem-solving challenges independently, has a strong attention to detail, and enjoys working in a fast-paced, collaborative, and team-based environment.

WHAT YOU'LL DO

  • Worksclosely withApplication Engineering,ProductManagement, and Operationalteams in designing, experimenting-with,and implementing machine learning and analytical systems applied to design information and user behavior

  • Worksclosely withApplication Engineering teams to gather and process data,as well as in surfacing variousanalytically-basedfeatures in core products

  • Workson groundbreaking new applications of machine learning and analytic technology toHealthcare, producing quantitative, justifiable results to guide feature planning

  • Translatesreal-worldHealthcare problems to mathematical frameworks

  • WorkswithProductManagement,Marketing,andSales as needed to promote sales and to incorporate market and customer feedback

  • Data exploration, hypothesis creation (from business and product goals), testing algorithms, scaling to largedata-setsand validating results will be common tasks for this role

  • Understands, organizes, and communicatesroot causes of problems and successessuccinctly

WHAT YOU'LL NEED

  • Complete familiarity with various statistical and machine learning techniquesincluding:classification, regression, dimension reduction, clustering,and various multivariate methods

  • Complete familiarity with empirical approaches to estimate performance of machine learning models including: hold-out sets, cross-validation, leave-one-out testing

  • Understanding of orders of algorithms and how they scale

  • Demonstrated competency in R/Python predictive modeling

  • Demonstrated competency in RDBMS (e.g. SQLServer)

  • Ability to code in 1+ general purpose programming language (C#, Java, etc.)

  • Must be a quick-learner with the ability to multi-task in a fast-paced environment

  • Outstanding presentation abilities and the ability to communicatewithall levels of theBusiness

  • Comfortable working innewly-forming, ambiguous areas where learning and adaptability are key skills

  • Outstanding communication and interpersonal skills

  • Must possess strong analytical, problem-solving,and writing skills

  • Proficient in Microsoft Office applications

  • Detail-oriented

  • Master of Science degree or higher in the fields of Computer Science, Statistics, or Mathematics is preferred

  • An aptitudefor medical informatics is preferred

ABOUT WAYSTAR

Through a smart platform and better experience, Waystar helps providers simplify healthcare payments and yield powerful results throughout the complete revenue cycle.

Waystar's healthcare payments platform combines innovative, cloud-based technology, robust data, and unparalleled client support to streamline workflows and improve financials so providers can focus on what matters most: their patients and communities. Waystar is trusted by 1M+ providers, 1K+ hospitals and health systems, and is connected to over 5K commercial and Medicaid/Medicare payers. We are deeply committed to living out our organizational values: honesty; kindness; passion; curiosity; fanatical focus; best work, always; making it happen; and joyful,optimistic & fun.

Waystar products have won multiple Best in KLAS or Category Leader awards since 2010 and earned multiple #1 rankings from Black Book surveys since 2012. The Waystar platform supports more than 500,000 providers, 1,000 health systems and hospitals, and 5,000 payers and health plans. For more information, visit waystar.comor follow @Waystaron Twitter.

WAYSTAR PERKS

  • Competitive total rewards (base salary + bonus, if applicable)
  • Customizable benefits package (3 medical plans with Health Saving Account company match)
  • We offer generous paid time off for our non-exempt team members, starting with 3 weeks +13 paid holidays, including 2 personal floating holidays. We also offer flexible time off for our exempt team members + 13 paid holidays
  • Paid parental leave (including maternity + paternity leave)
  • Education assistance opportunities and free LinkedIn Learning access
  • Free mental health and family planning programs, including adoption assistance and fertility support
  • 401(K) program with company match
  • Pet insurance
  • Employee resource groups

Waystar is proud to be an equal opportunity workplace. We celebrate, value, and support diversity and inclusion. Qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, marital status, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

This applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

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