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Data Scientist Jobs in Utah (NOW HIRING)

Data Scientist

Eden, UT · On-site +1

$170K/yr

  • Medical

  • Dental

  • Vision

  • PTO

Role Overview The Data Scientist will own the measurement science behind Audiohook\'s performance audio advertising platform. You\'ll design and run incrementality tests, build and maintain marketing ...

Requires full Data Science life cycle development experience within various analytical architectures, including piloting models, A/B testing, underlying data design, and model operationalization.

New

Requires full Data Science life cycle development experience within various analytical architectures, including piloting models, A/B testing, underlying data design, and model operationalization.

Data Scientist FT / PT Status - Full-Time Salary - $33.63 - $56.31 Hourly Wage Remote Work / In-Office - Hybrid Recruiter - Angie Rhodes | arhodes@utah.gov Application Deadline - 7/9/2026 Key ...

Data Scientist

Lehi, UT · On-site

  • Medical

  • Retirement

  • PTO

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

Data Scientist

Lehi, UT · On-site

$90 - $120/hr

  • Medical

  • Retirement

  • PTO

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

Data Scientist

Lehi, UT · On-site

  • Medical

  • Retirement

  • PTO

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

Data Scientist

Lehi, UT · On-site

  • Medical

  • Retirement

  • PTO

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

Data Scientist I

Holladay, UT · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

Data Scientist 2

Ogden, UT · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Job Brief Data Science, Machine Learning, Programming Are you VIGILANT about your career? RealmOne definitely is! RealmOne was built on the principle that people matter first and foremost. We believe ...

Lead Data Scientist

Draper, UT · On-site +1

$144K - $250K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Lead Data Scientist is pivotal in generating insights and supporting the enterprise's data science needs, as well as enhancing the team's industry competence through research in Artificial ...

Data Scientist III

West Valley City, UT · On-site

$90 - $120/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We are seeking a dedicated Data Scientist III with a passion for statistics, machine learning, and solving real‑world problems with robust data. The ideal candidate understands how to apply the ...

Data Scientist III

West Valley City, UT · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We are seeking a dedicated Data Scientist III with a passion for statistics, machine learning, and solving real-world problems with robust data. The ideal candidate understands how to apply the ...

Data Scientist III

West Valley City, UT · On-site

$90 - $120/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We are seeking a dedicated Data Scientist III with a passion for statistics, machine learning, and solving real-world problems with robust data. The ideal candidate understands how to apply the ...

Summary The Sr Data Scientist will work in teams addressing statistical, machine learning and data understanding problems in a commercial technology and consultancy development environment. In this ...

Summary The Sr Data Scientist will work in teams addressing statistical, machine learning and data understanding problems in a commercial technology and consultancy development environment. In this ...

Summary The Sr Data Scientist will work in teams addressing statistical, machine learning and data understanding problems in a commercial technology and consultancy development environment. In this ...

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Showing results 1-20

Data Scientist information

See Utah salary details

$34.1K

$111.7K

$178.9K

How much do data scientist jobs pay per year?

As of Aug 15, 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.

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.

Is data science a math heavy field?

Data scientists rely heavily on mathematics, including statistics, linear algebra, and calculus, to analyze data and develop models. Strong math skills are essential for tasks like machine learning, data analysis, and algorithm development, often complemented by programming in languages such as Python or R. However, practical skills in data manipulation and domain knowledge are also important for success in the field.

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.

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

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

What cities in Utah are hiring for Data Scientist jobs?

Cities in Utah with the most Data Scientist job openings:

What are popular job titles related to Data Scientist jobs in UT?

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

Infographic showing various Data Scientist job openings in Utah as of August 2026, with employment types broken down into 87% Full Time, and 13% Part Time. Highlights an 87% In-person, and 13% Remote job distribution, with an average salary of $111,737 per year, or $53.7 per hour.

Data Scientist

Audiohook

Eden, UT • On-site, Remote

$170K/yr

Full-time

Medical, Dental, Vision, PTO

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


Job description

Role Overview

The Data Scientist will own the measurement science behind Audiohook\'s performance audio advertising platform. You\'ll design and run incrementality tests, build and maintain marketing mix models, and apply causal analysis to quantify how Audiohook drives outcomes for advertisers. This role combines hands-on modeling with the opportunity to shape how we prove value to customers, sharpen our bidding and optimization systems, and influence product direction. You\'ll collaborate closely with Engineering, Product, Sales, and Customer Success to ensure measurement isn\'t just statistically sound but operationally useful.

Key ResponsibilitiesMarketing Measurement & Causal Inference
  • Design and run incrementality experiments (geo, ghost bidding, holdout, PSA) that quantify Audiohook\'s lift for advertisers

  • Build, maintain, and evolve marketing mix models (MMM) and multi-touch attribution analyses across customer campaigns

  • Apply causal inference methods — difference-in-differences, synthetic controls, instrumental variables, propensity scoring — to questions that can\'t be answered with RCTs

  • Translate measurement results into clear narratives for advertisers, internal stakeholders, and the product team

Modeling & Analysis
  • Partner with Engineering on the data and modeling layer that powers bidding, pacing, and optimization decisions

  • Develop and validate predictive models that improve campaign performance and platform efficiency

  • Instrument experiments and analyses for reproducibility, monitoring, and ongoing measurement quality

Cross-Functional Collaboration
  • Partner with Sales and Customer Success on measurement studies for priority accounts and renewals

  • Partner with Product on roadmap inputs grounded in causal evidence, not just descriptive data

  • Present findings to advertisers, internal teams, and leadership in clear, decision-ready formats

  • Communicate clearly and proactively in a remote-first environment

QualificationsRequired
  • Bachelor\'s or Master\'s degree in Statistics, Economics, Data Science, Computer Science, or related quantitative field

  • 3–5 years of applied data science experience with a focus on marketing measurement — incrementality, MMM, attribution, or causal analysis

  • Hands-on experience designing and analyzing experiments (A/B, geo, holdout) in a marketing or advertising context

  • Strong fluency in Python (pandas, statsmodels, scikit-learn, PyMC, or similar) and SQL

  • Solid grounding in statistical inference, regression, and causal methods

  • Ability to communicate technical results to non-technical audiences — advertisers, sales, leadership

  • Excellent attention to detail and intellectual honesty about model limitations

Preferred
  • Experience in adtech, digital advertising, or media measurement

  • Experience with Bayesian methods or Bayesian MMM frameworks (e.g., PyMC-Marketing, LightweightMMM, Robyn)

  • Experience working with large-scale ad event data (impressions, clicks, conversions) and modern data stacks (e.g., Iceberg, Snowflake, BigQuery)

  • Experience in a startup or high-growth company

  • Comfort using AI tools to accelerate exploratory analysis, code, and write-ups while maintaining methodological rigor

What We Offer
  • Fully remote work environment

  • Competitive salary and equity opportunities

  • Performance bonuses

  • Health, dental, and vision benefits

  • Other benefits such as daily lunch stipend, monthly wifi, cell phone and subscription reimbursement, and annual hardware stipend

  • Flexible PTO and remote-friendly culture

  • Bi-annual Corporate Offsites

  • Opportunity to help shape a function at a rapidly scaling tech company