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Data Science Jobs in Provo, UT (NOW HIRING)

Patientco

Sr. Data Scientist

Lehi, UT

The data scientist role involves solving technical, data-driven Healthcare problems using computer ... Master of Science degree or higher in the fields of Computer Science, Statistics, or Mathematics is ...

Waystar

Sr. Data Scientist

Lehi, UT · On-site

... Science degree or higher in the fields of Computer Science, Statistics, or Mathematics • An aptitude for medical informatics Company : Waystar is a technology platform that provides healthcare ...

Atonom

Data Engineer

Provo, UT

$109K - $131K/yr

Recent graduate (or soon to be) in Computer Science, Data Science, Data Engineering, Software Engineering, or a related technical field. Self-taught candidates with relevant projects are also welcome.

Atonom

Data Engineer

Provo, UT · On-site

$50K - $90K/yr

Recent graduate (or soon to be) in Computer Science, Data Science, Data Engineering, Software Engineering, or a related technical field. Self-taught candidates with relevant projects are also welcome.

Atonom

Data Engineer

Provo, UT · On-site

Recent graduate (or soon to be) in Computer Science, Data Science, Data Engineering, Software Engineering, or a related technical field. Self-taught candidates with relevant projects are also welcome.

Cisco

Applied AI Scientist

Lehi, UT · On-site

Collaborate with engineering, product, and data science teams to understand requirements, incorporate stakeholder feedback, and deliver AI/ML solutions that address business and technical needs.

Atonom

AI Data Engineer

Provo, UT

$109K - $131K/yr

Recent graduate (or soon to be) in Computer Science, Data Science, Software Engineering, Information Systems, or a related technical field. Self-taught candidates with a strong portfolio are also ...

Atonom

AI Data Engineer

Provo, UT · On-site

$50K - $90K/yr

Recent graduate (or soon to be) in Computer Science, Data Science, Software Engineering, Information Systems, or a related technical field. Self-taught candidates with a strong portfolio are also ...

Atonom

AI Data Engineer

Provo, UT · On-site

Recent graduate (or soon to be) in Computer Science, Data Science, Software Engineering, Information Systems, or a related technical field. Self-taught candidates with a strong portfolio are also ...

KēSTA I.T.

Data Engineer

Draper, UT · On-site

$100K - $114K/yr

This position partners closely with analysts and data scientists to transform raw data into actionable insights and production-ready data products that drive business value. Responsibilities * Design ...

Pattern

Senior Data Engineer

Lehi, UT

$99K - $135K/yr

Bachelor's degree in Computer Science, Data Science, or a related technical field (or equivalent experience). * 7+ years of professional data engineering experience with a heavy focus on ETL/ELT and ...

Pattern

Senior Data Engineer

Lehi, UT · On-site

$99K - $135K/yr

Bachelor's degree in Computer Science, Data Science, or a related technical field (or equivalent experience). * 7+ years of professional data engineering experience with a heavy focus on ETL/ELT and ...

Pattern

Senior Data Engineer

Lehi, UT · On-site

$99K - $135K/yr

Bachelor's degree in Computer Science, Data Science, or a related technical field (or equivalent experience). * 7+ years of professional data engineering experience with a heavy focus on ETL/ELT and ...

BlytzPay

AI Operations Engineer

Draper, UT · On-site

$65K - $87K/yr

Entry to Mid-Level (Perfect for a high-performing recent CS/Data Science grad) At BlytzPay, we are evolving the landscape of intelligent payments and collections through an AI-powered platform that ...

Roseman

Research Associate

South Jordan, UT · On-site

This position supports research initiatives through project coordination, data management, statistical analysis, artificial intelligence (AI) and data science applications, scholarly dissemination ...

Adobe

Sr Data Engineer

Lehi, UT · On-site

$107K - $129K/yr

Collaboration with experts across finance, engineering, data science, programming, and UI/UX will be essential to conduct analyses, develop insights, and deliver actionable recommendations. What you ...

Varsity Tutors

ACT Science Tutor

Spanish Fork, UT · Remote

$18 - $40/hr

Advanced Scientific Reasoning Mastery: Deep knowledge of data representation (graphs, tables ... Strategic Data Analysis & Reasoning: Skilled at teaching quick graph reading, variable ...

Varsity Tutors

ACT Science Tutor

Provo, UT · Remote

$18 - $40/hr

Advanced Scientific Reasoning Mastery: Deep knowledge of data representation (graphs, tables ... Strategic Data Analysis & Reasoning: Skilled at teaching quick graph reading, variable ...

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All JobsData Science JobsData Science Jobs in Provo, UT

Data Science information

See Provo, UT salary details

$35.5K

$116.1K

$185.9K

How much do data science jobs pay per year?

As of Jul 14, 2026, the average yearly pay for data science in Provo, UT is $116,106.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,200.00 and $128,600.00 per year, depending on experience, location, and employer.

Is data science a good career?

Data science is a growing field with high demand for professionals skilled in statistics, programming, and data analysis tools like Python and R. It offers competitive salaries, diverse industry applications, and opportunities for advancement, making it a strong career choice for those with relevant skills and education.

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, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

Is 40 too late for data science?

Data science is a field open to individuals of all ages, and many professionals transition into it later in their careers. Success often depends on acquiring relevant skills such as programming, statistics, and machine learning, which can be learned through online courses, bootcamps, or degrees regardless of age.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What jobs can a Data Scientist do?

A Data Scientist can work in roles such as data analyst, machine learning engineer, data engineer, or business intelligence analyst. These roles involve analyzing large datasets, developing predictive models, and using tools like Python, R, and SQL to support decision-making across various industries.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

What work do you do as a Data Scientist?

A Data Scientist analyzes large datasets to extract insights, build predictive models, and inform business decisions. They use programming languages like Python or R, and tools such as SQL and machine learning frameworks, often working in collaborative environments with data engineers and analysts.

What Does a Data Scientist Do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.
More about Data Science jobs
What are the most commonly searched types of Data Science jobs in Provo, UT? The most popular types of Data Science jobs in Provo, UT are:
What are popular job titles related to Data Science jobs in Provo, UT? For Data Science jobs in Provo, UT, the most frequently searched job titles are:
What job categories do people searching Data Science jobs in Provo, UT look for? The top searched job categories for Data Science jobs in Provo, UT are:
What cities near Provo, UT are hiring for Data Science jobs? Cities near Provo, UT with the most Data Science job openings:
Data Science jobs near you
Infographic showing various Data Science job openings in Provo, UT as of July 2026, with employment types broken down into 1% As Needed, 76% Full Time, 21% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $116,106 per year, or $55.8 per hour.
Sr. Data Scientist

Sr. Data Scientist

Patientco

Lehi, UT

Other

Medical, Retirement, PTO

Re-posted 26 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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