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Data Science Analytics Jobs in Utah (NOW HIRING)

Tendo

Senior Data Scientist

Salt Lake City, UT · On-site +1

$110.50K - $149.50K/yr

Hands-on experience writing Python code including, but not limited to, machine learning, data science and engineering, and ETL pipelines. * 5+ years of experience in data analysis software, with data ...

RLDatix

Data Scientist

Lehi, UT · On-site

Data Scientist | AI/Analytics| Lehi, UT| Hybrid RLDatix (RLD) is on a mission to help raise the standard of care...everywhere. Trusted by over 10,000 healthcare organizations around the world, our ...

Epicor

Senior Data Scientist

Lehi, UT · Hybrid

Familiarity with R for data science or analytics research. * Experience writing or interpreting ML/AI whitepapers or applied research. * Exposure to big data pipelines and distributed compute ...

nCino

Senior Data Scientist

Lehi, UT · On-site

$107.90K - $183.40K/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

nCino OpCo

Senior Data Scientist

Lehi, UT

$107.90K - $183.40K/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

Epicor

Senior Data Scientist

Lehi, UT · Hybrid

Familiarity with R for data science or analytics research. * Experience writing or interpreting ML/AI whitepapers or applied research. * Exposure to big data pipelines and distributed compute ...

Waystar

Data Scientist

Lehi, UT · On-site

This person will primarily work as part of the larger Data Science team interacting Product Management and Application teams to conduct analysis and experimentation to maximize the utility of ...

Patientco

Data Scientist

Lehi, UT · On-site

This person will primarily work as part of the larger Data Science team interacting Product Management and Application teams to conduct analysis and experimentation to maximize the utility of ...

Crew Career Center

Data Scientist

Lehi, UT · On-site

This person will primarily work as part of the larger Data Science team interacting Product Management and Application teams to conduct analysis and experimentation to maximize the utility of ...

Epicor

Principal Data Scientist

Lehi, UT · Hybrid

Partner across crossfunctional analytics teams-including DW engineers, ETL engineers, data science engineers, data production teams, SMEs, and customers-to architect endtoend analytics solutions.

Epicor

Principal Data Scientist

Lehi, UT · Hybrid

Partner across crossfunctional analytics teams-including DW engineers, ETL engineers, data science engineers, data production teams, SMEs, and customers-to architect endtoend analytics solutions.

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How much do data science analytics jobs pay per hour?

As of May 29, 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 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 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 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
Senior Data Scientist

Senior Data Scientist

Tendo

Salt Lake City, UT • On-site, Remote

$110.50K - $149.50K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

This job post has expired today. Applications are no longer accepted.

Job description

The Senior Data Scientist will support Tendo analytics projects focused on quality management and risk adjustment. The person in this role will access data from multiple sources (public and private) and translate it into information that is meaningful and actionable for health systems. The Senior Data Scientist develops, maintains, and enhances predictive models that improve products in several areas including, but not limited to quality, risk, and operational efficiency. We're looking for someone who brings an AI-native mindset, has hands-on experience applying AI or machine learning to real-world problems, and is passionate about exploring how emerging AI capabilities can improve healthcare delivery and outcomes. In addition, the Senior Data Scientist will also have the opportunity to ask novel, data-driven questions and drive new analyses.
About Tendo
Make an impact-join our team!
We're a fast-growing, mission-driven company building a culture that enables teams and individuals to thrive. Our team-driven culture and rapid growth have earned us recognition as one of Forbes' Top Startup Employers for both 2024 and 2025. Led by an experienced and proven team, we live by our values and are always on the hunt for motivated people with diverse experiences and backgrounds to help us improve the care journey for patients, clinicians, and caregivers by creating software that provides seamless, intuitive, and user-friendly experiences.
If you like working with innovative technologies and want to be part of a growing team that will help transform the healthcare experience, we encourage you to apply today!
Job Location
Tendo has hubs in San Francisco, CA; San Diego, CA; Salt Lake City, UT; Chicago, IL; Nashville, TN; and Philadelphia, PA. Candidates may be located in any one of our hub locations.
Responsibilities
  • Analyze data from multiple databases to drive optimization and improvement of quality outcomes, resource utilization, and risk adjustment.
  • Develop custom data models and algorithms to apply to data sets.
  • Use predictive modeling to increase and optimize patient outcomes, patient experiences, risk adjustment opportunities, and other business outcomes.
  • Explore and experiment with emerging AI technologies to evaluate their applicability in solving healthcare problems and improving operational workflows.
  • Develop analytic data sets and use statistical software to analyze data sets as requested.
  • Use third party software tools in the development of queries and visualizations.
  • Coordinate with different functional teams to implement models and monitor outcomes.

Requirements
  • Bachelor's degree in data science, statistics, epidemiology, engineering, information science, computer science, OR equivalent technical experience.
  • Hands-on experience writing Python code including, but not limited to, machine learning, data science and engineering, and ETL pipelines.
  • 5+ years of experience in data analysis software, with data science experience preferred.
  • 5+ years of experience with GitHub/Git, Python, SQL, statistics, and ML modeling.
  • Track record of applying AI or ML models to solve practical, real-world problems-ideally in healthcare or similar complex domains.
  • Knowledge of statistical concepts and data mining methods such as: Hypothesis testing (or A/B testing), distribution analysis, Bayesian estimation, Linear and Logistic Regression, GLMs, text mining, time series analysis, etc.
  • Knowledge of a variety of traditional machine learning techniques such as: feature engineering methods for large scale numerical and categorical data, dimensionality reduction, clustering, Decision Trees/Random Forests/Gradient Boosted Decision Trees, Deep Learning.
  • Knowledge of machine learning implementation strategies such as: proper and thorough evaluation of ML models in production, detecting data/covariate/concept drift, leveraging feature stores and model registries, deploying models as REST APIs, integrating models into products, etc.
  • Interest in staying current on AI advancements (e.g., generative AI, LLMs, foundation models), and enthusiasm for integrating new capabilities into analytical workflows.
  • Demonstrated proficiency in writing SQL queries on large, complex datasets for data analysis and analytics engineering.
  • Strong problem-solving skills with an emphasis on data analytics.
  • Excellent written and verbal communication skills for coordinating across teams.

Nice to Have
  • Experience in the healthcare setting preferred.
  • Experience with Epic EMR data preferred, but not required.
  • Experience with healthcare financials/claims preferred, but not required.

Base Salary Range
$110,500-$149,500
This salary range is offered with the understanding that final compensation is based on a number of factors including geography and experience. Tendo also offers an equity package, annual bonuses, and benefits.
Benefits
For full time employees, Tendo also offers full health benefits (medical, dental, and vision), flexible spending and health savings accounts, company paid life insurance, company paid short-term and long-term disability, company equity, voluntary benefits, 401(k), company paid holidays, flexible time off, and an employee wellness program ("Breathe").
Tendo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity or expression, religion, national origin or ancestry, age, disability, marital status, pregnancy, protected veteran status, protected genetic information, political affiliation, or any other characteristics protected by local laws, regulations, or ordinances.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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