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Best Paying Computer Science Jobs in Utah (NOW HIRING)

Master of Science degree or higher in the fields of Computer Science, Statistics, or Mathematics is ... Waystar products have won multiple Best in KLAS ® or Category Leader awards since 2010 and earned ...

Master of Science degree or higher in the fields of Computer Science, Statistics, or Mathematics is ... Waystar products have won multiple Best in KLAS or Category Leader awards since 2010 and earned ...

Bachelor's degree in mathematics, Statistics, Data Science, Computer Science or other relevant area ... Waystar products have won multiple Best in KLAS or Category Leader awards since 2010 and earned ...

Facilitates computer science instruction (including coding) to help students learn basic computer ... best utilize the available time for instruction. * Designs learning activities to demonstrate the ...

Strong foundationin computer science principles, including algorithms, data structures, and system ... Solid understanding of software engineering best practices, such as version control, testing, and ...

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Best Paying Computer Science information

What are the best paying jobs in computer science?

The best paying jobs in computer science typically include roles such as software architect, machine learning engineer, data scientist, cloud solutions architect, and cybersecurity engineer. These positions often require advanced skills in programming, systems design, and data analysis, as well as experience with the latest technologies. Salaries can vary depending on location, level of experience, and the specific industry, but these roles consistently rank among the highest paying in the tech sector. Many of these positions also offer additional benefits and opportunities for career advancement.

What is the difference between Best Paying Computer Science vs Software Engineer?

AspectBest Paying Computer ScienceSoftware Engineer
Required CredentialsBachelor's or Master's in Computer Science, certifications like AWS, CiscoBachelor's in Computer Science or related field, coding certifications
Work EnvironmentResearch labs, tech companies, academiaTech firms, startups, corporate IT departments
Employer & Industry UsageUniversities, research institutions, high-tech companiesSoftware development firms, tech giants, consulting
Common Search & Comparison IntentHigh-paying roles in CSSoftware development salaries & roles

Best Paying Computer Science roles often include specialized positions like data scientist or AI researcher, which may require advanced degrees and certifications. Software Engineers focus on designing, coding, and maintaining software applications. While both roles require a computer science background, Best Paying Computer Science positions tend to offer higher salaries due to specialization and industry demand, especially in research or executive roles.

What are some common challenges faced by professionals in high-paying computer science roles, and how can candidates prepare for them?

Professionals in high-paying computer science roles often face challenges such as keeping up with rapidly evolving technologies, managing complex projects, and collaborating across multidisciplinary teams. Candidates can prepare by regularly updating their technical skills, gaining experience with project management tools, and developing strong communication abilities. Additionally, being adaptable and proactive in learning new programming languages and frameworks can help professionals stay competitive and successful in these demanding positions.

What are the key skills and qualifications needed to thrive in one of the best paying computer science roles, such as a Software Engineer or Data Scientist, and why are they important?

To excel in top-paying computer science roles, you typically need strong programming skills, expertise in algorithms and data structures, and a relevant computer science degree. Familiarity with technical tools like Python, Java, cloud platforms, and frameworks, along with certifications in areas like AWS or machine learning, is often required. Outstanding problem-solving abilities, teamwork, and effective communication are soft skills that help professionals stand out. These skills and qualifications are crucial for developing innovative solutions, collaborating on complex projects, and driving business success in a technology-driven environment.
What cities in Utah are hiring for Best Paying Computer Science jobs? Cities in Utah with the most Best Paying Computer Science job openings:
Infographic showing various Best Paying Computer Science job openings in Utah as of June 2026, with employment types broken down into 78% Full Time, 20% Part Time, and 2% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution.
Sr. Data Scientist

Sr. Data Scientist

Waystar

Lehi, UT • On-site

Full-time

Medical, Retirement, PTO

Posted 23 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
  • Works closely with Application Engineering, Product Management, and Operational teams in designing, experimenting-with, and implementing machine learning and analytical systems applied to design information and user behavior
  • Works closely with Application Engineering teams to gather and process data, as well as in surfacing various analytically-based features in core products
  • Works on groundbreaking new applications of machine learning and analytic technology to Healthcare, producing quantitative, justifiable results to guide feature planning
  • Translates real-world Healthcare problems to mathematical frameworks

  • Works with Product Management, Marketing, and Sales 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 large data-sets and validating results will be common tasks for this role

  • Understands, organizes, and communicates root causes of problems and successes succinctly

WHAT YOU'LL NEED
  • Complete familiarity with various statistical and machine learning techniques including: 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. SQL Server)
  • 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 communicate with all levels of the Business
  • Comfortable working in newly-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 aptitude for 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.com or follow @Waystar on 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.