1

Data Analyst Data Science Jobs in Provo, UT (NOW HIRING)

Senior Data Scientist

Lehi, UT · On-site

$180 - $250/hr

  • Medical

  • Retirement

  • PTO

... science project requirements, scope, and deliverables. * Conduct in-depth data exploration, analysis, and visualization to identify trends, patterns, and anomalies, presenting findings clearly and ...

Senior Data Scientist

Lehi, UT · On-site

  • Medical

  • Retirement

  • PTO

... science project requirements, scope, and deliverables. * Conduct in-depth data exploration, analysis, and visualization to identify trends, patterns, and anomalies, presenting findings clearly and ...

Senior Data Scientist

Lehi, UT · On-site

  • Medical

  • Retirement

  • PTO

... science project requirements, scope, and deliverables. * Conduct in-depth data exploration, analysis, and visualization to identify trends, patterns, and anomalies, presenting findings clearly and ...

Senior Data Scientist

Lehi, UT · On-site

  • Medical

  • Retirement

  • PTO

... science project requirements, scope, and deliverables. * Conduct in-depth data exploration, analysis, and visualization to identify trends, patterns, and anomalies, presenting findings clearly and ...

Principal Analyst Data Manager

Provo, UT

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Together, we push the boundaries of known science and find new ways to connect and protect our ... We are hiring a Principal Analyst Data Manager to work onsite in Tucson, Arizona. What You Will Do

Director, Data Science

South Jordan, UT · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Director, Data Science - Competitive Intelligence, AI Insights & Strategic Analytics is a highly visible leadership role responsible for transforming internal, external, structured, and ...

We are seeking a Data Analyst - API to maintain the API-based data integrations that connect ... Bachelor's degree in Computer Science, Information Systems, or a related field, or equivalent ...

New

Data Scientist I

Holladay, UT · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Role As an individual contributor working within a growing data science team, you will take responsibility for developing market leading, innovative, analytical open banking solutions. Focused in the ...

Senior Data Scientist

Lehi, UT · On-site

$107K - $183K/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

Senior Data Scientist

Lehi, UT · On-site

$107K - $183K/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

Several years of data science experience are preferred. Requirements You need to be: Independent ... First, and most importantly, is the design and analysis of experiments. We run a substantial number ...

Lead Data Scientist

Draper, UT · On-site +1

$144K - $250K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Bachelor's Degree in Statistics, Mathematics, Engineering, Data Science, Computer Science, or ... Conjoint Analysis * Agentic AI Reports To : Senior Manager and above Direct Reports : 0 Work ...

Senior Data Scientist

Holladay, UT · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Role As an individual contributor working within a growing data science team, you will take responsibility for developing market leading, innovative, analytical open banking solutions. Focused in the ...

SQL (advanced), Python (intermediate), Data Visualization (advanced), Excel (advanced), Statistical Analysis (intermediate) Contract Type: W2 Only Duration: 6+ Months Location: Austin, TX (#LI ...

Staff Data Analyst

Draper, UT · On-site

$123.80 - $174.70/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

A degree in a quantitative field such as Statistics, Data Science, Mathematics, Economics, or Computer Science. Desired Qualifications * Experience applying NLP or LLM-based techniques to analyze ...

New

Data Scientist - Applied AI Scientist

Midvale, UT · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... data analysis, statistical testing, and data transformations on diverse datasets (structured and unstructured) to uncover predictive signals and validate hypotheses. * Production-Grade Science:

The role involves collaborating with stakeholders to analyze datasets, extract insights, and ... Qualifications : Required : • Undergraduate degree in Data Science, Statistics, Mathematics ...

Data Engineer IV - AI & Data Products

Draper, UT · On-site

$107K - $128K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Collaborate with analytics and business partners to define and build semantic layers/models to support various personas - Report consumers, Self-Service and Advanced SQL Analysts, Data Scientists and ...

VP, Data Sciences

Lehi, UT · On-site

  • Medical

  • Retirement

  • PTO

Managing budgets for data management and analytics initiatives, ensuring optimal resource allocation and ROI. WHAT YOU'LL NEED * **Education:** Bachelor's degree in Computer Science, Data Science ...

Showing results 21-40

Data Analyst Data Science information

See Provo, UT salary details

$32.2K

$78.2K

$128.7K

How much do data analyst data science jobs pay per year?

As of Aug 20, 2026, the average yearly pay for data analyst data science in Provo, UT is $78,174.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,100.00 and $91,800.00 per year, depending on experience, location, and employer.

What does a data analyst in data science do?

A Data Analyst in Data Science collects, processes, and analyzes large sets of data to help organizations make informed decisions. They use statistical techniques and data visualization tools to identify trends, patterns, and insights from data. Their responsibilities often include cleaning data, creating reports, and communicating findings to stakeholders. Data Analysts play a key role in helping businesses optimize operations, understand customer behavior, and solve complex problems using data-driven approaches.

What are the key skills and qualifications needed to thrive as a data analyst in data science?

To thrive as a Data Analyst in Data Science, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Familiarity with tools like SQL, Python or R, and data visualization platforms such as Tableau or Power BI, along with industry-recognized certifications, is highly valued. Attention to detail, problem-solving abilities, and effective communication skills help you interpret data insights and convey findings to stakeholders. These skills are crucial for transforming raw data into actionable intelligence that drives strategic business decisions.

How do data analysts in data science typically collaborate with other departments or teams?

Data Analysts in Data Science frequently work cross-functionally, partnering with teams such as engineering, product management, marketing, and business intelligence. They translate complex data findings into actionable insights and tailor their communication to both technical and non-technical stakeholders. Regular collaboration may involve participating in meetings to understand business needs, designing dashboards for different teams, and providing data-driven recommendations to support company objectives. This collaborative environment not only enhances project outcomes but also fosters continuous learning and professional growth.

What is the difference between Data Analyst Data Science vs Data Engineer?

AspectData Analyst Data ScienceData Engineer
Required SkillsStatistics, programming (Python, R), data visualizationDatabase systems, ETL pipelines, programming (Python, Java)
Work EnvironmentAnalyzing data, building models, reportingBuilding and maintaining data infrastructure
CertificationsData Science certifications, SQL, PythonCloud certifications, database management
Industry UsageBusiness analysis, predictive modelingData infrastructure, big data systems

Data Analyst Data Science focuses on analyzing data and creating models to inform decisions, while Data Engineers build the systems that collect, store, and process data. Both roles require programming skills and often overlap in tools like Python and SQL, but their core responsibilities differ significantly.

What are popular job titles related to Data Analyst Data Science jobs in Provo, UT?

For Data Analyst Data Science jobs in Provo, UT, the most frequently searched job titles are:

What job categories do people searching Data Analyst Data Science jobs in Provo, UT look for?

The top searched job categories for Data Analyst Data Science jobs in Provo, UT are:

What cities near Provo, UT are hiring for Data Analyst Data Science jobs?

Cities near Provo, UT with the most Data Analyst Data Science job openings:

Infographic showing various Data Analyst Data Science job openings in Provo, UT as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 77% Full Time, 16% Part Time, 1% Temporary, and 4% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $78,174 per year, or $37.6 per hour.

Senior Data Scientist

Waystar, Inc

Lehi, UT • On-site

$180 - $250/hr

Other

Medical, Retirement, PTO

Posted 5 days ago


Job description

ABOUT THIS POSITION

Designs, develops and programs methods, processes, and systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions for client services and product enhancement. Interacts with product and service teams to identify questions and issues for data analysis and experiments. Develops and codes software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources. Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers. Incumbents whose primary role is technical and focused on data storage, warehousing and systems architecture should be matched to Database Engineering or Storage Engineering. Incumbents whose focus is the quantitative analysis of complex business problems and issues using data from internal and external sources to provide insight to decision-makers should be matched to Business Intelligence. Incumbents whose primary role is technical and focused on designing and building system-generated reports, reporting tools and dashboards for data generation should be matched to Data Informatics. Incumbents whose focus is primarily on experimental design and advanced or complex statistical analysis and modeling of datasets should be matched to Statistician/Mathematician. This is a product engineering role in which employees work with multiple types of business data. Incumbents whose focus is primarily on analysis and modeling of financial, marketing or pricing data should be matched to Finance, Market Research or Pricing as appropriate. May be internal operations-focused or external client-focused, working in conjunction with Professional Services and outsourcing functions.

WHAT YOU'LL DO
  • Lead the design, development, and implementation of sophisticated machine learning models and predictive analytics solutions to solve critical business problems.
  • Mentor and guide junior data scientists, fostering a culture of excellence and continuous learning within the team.
  • Collaborate with cross-functional teams (engineering, product, business stakeholders) to define data science project requirements, scope, and deliverables.
  • Conduct in-depth data exploration, analysis, and visualization to identify trends, patterns, and anomalies, presenting findings clearly and concisely to diverse audiences.
  • Develop and maintain robust data pipelines and infrastructure in collaboration with data engineers to ensure data quality, accessibility, and integrity.
  • Stay abreast of the latest advancements in data science, machine learning, and artificial intelligence, evaluating and recommending new technologies and methodologies.
  • Contribute to the strategic direction of Waystar's data science initiatives, identifying opportunities for innovation and impact.
  • Champion data-driven decision‑making throughout the company, educating and influencing stakeholders on the power of data science.
  • Evaluate and select appropriate statistical methods and machine learning algorithms for various business challenges, ensuring rigor and validity.
WHAT YOU'LL NEED
  • Master's or Ph.D. in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field.
  • 8+ years of progressive experience in data science, with a proven track record of delivering impactful data‑driven solutions in a fast‑paced environment.
  • Expert‑level proficiency in Python and/or R for data manipulation, statistical analysis, and machine learning model development.
  • Extensive experience with various machine learning techniques (e.g., supervised, unsupervised, reinforcement learning, deep learning) and their practical applications.
  • Strong understanding of statistical modeling, experimental design, hypothesis testing, and causal inference.
  • Proficiency in SQL for data querying and manipulation, with experience working with large‑scale datasets.
  • Experience with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Spark, Hadoop) is highly desirable.
  • Excellent communication, presentation, and interpersonal skills, with the ability to explain complex technical concepts to non‑technical stakeholders.
  • Demonstrated ability to lead projects, mentor team members, and drive successful outcomes.
  • Prior experience in the healthcare technology or financial services industry is a plus.
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.

Waystar provides cloud‑based technology that simplifies and unifies healthcare payments.

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 and fun.

#J-18808-Ljbffr