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Data Science Jobs in Roosevelt, UT (NOW HIRING)

Data Science information

See Roosevelt, UT salary details

$39.1K

$127.9K

$204.8K

How much do data science jobs pay per year?

As of Aug 31, 2026, the average yearly pay for data science in Roosevelt, UT is $127,936.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,700.00 and $141,800.00 per year, depending on experience, location, and employer.

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 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.

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.

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 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.

Is a data scientist in high demand?

Data scientists are in high demand across many industries due to the increasing reliance on data-driven decision making. The role requires skills in programming, statistics, and machine learning, and job growth is expected to continue as organizations expand their data capabilities.

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 cities near Roosevelt, UT are hiring for Data Science jobs?

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

Infographic showing various Data Science job openings in Roosevelt, UT as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $127,936 per year, or $61.5 per hour.

Computer Network Defense Analyst with Security Clearance

Altamont, UT • On-site

Cornerstone Defense
Library and Information Services • 51 - 200 employees

Other

Re-posted 10 days ago


Job description

* *Clearance: *Active TS/SCI w/ Polygraph needed to apply * Company Overview: Cornerstone Defense is the Employer of Choice within the Intelligence, Defense, and Space communities of the U.S. Government. Realizing early on that our most prized assets are our employees, we continually focus our attention on improving the overall work/life experience they have supporting the mission. Our Team is pushed every day to use their industry leading knowledge to provide end-to-end solutions to combat our nation's toughest and most secure problems. If you are looking for a place to not only be professionally challenged, but encouraged and supported by a company that cares, don't look any further than Cornerstone Defense. * Computer Network Defense Analyst * Use information collected from a variety sources (e.g., intrusion detection systems, firewalls, network traffic logs, and host system logs) to identify potential vulnerabilities, respond to cyber events that occur, and defend against events that might occur. * Help develop mitigations to strengthen network defenses and protect against attacks on network infrastructure devices or systems. * Work may span the gamut of data transport possibilities, such as traditional wired networks, wireless transport (including Wi-Fi and cellular), collaborative platforms such as video teleconferencing, and the hardware and software that support it all. * Career advancement as you develop increasing expertise in networking protocols and architectures, cloud security, Internet of Things protocols, and advanced network security. * Be part of a team, working together with government, military, and contractor personnel to develop shared understandings of intelligence needs, mission relevance, and areas of expertise. * Apply your innate curiosity and analytical talent to form hypotheses, critically assess and choose analysis techniques, then query, merge, enrich, evaluate, and pivot within data to attain and share insights. * Distill, document, contextualize and share your findings--including any new tradecraft that you develop--with teammates, stakeholders, and intelligence consumers. Qualifications Education: Degree in Network Engineering, Systems Engineering, Information Technology, or related field (e.g., General Engineering, Computer Engineering, Electrical Engineering, Computer Science, Computer Forensics, Cyber Security, Software Engineering, Information Assurance, or Computer Security). Up to 18 semester hours of military training/coursework in networking, computer science, or cyber topics is equivalent to an Associate degree. Experience: Relevant experience must be in computer or information systems design/development, programming, information/cyber/network security, vulnerability analysis, penetration testing, computer forensics, information assurance, and/or systems engineering. Additionally, must have experience in network or system administration. If not credited toward education requirements, completion of military training in a relevant area such as JCAC (Joint Cyber Analysis Course), Undergraduate Cyber Training (UCT), Network Warfare Bridge Course (NWBC)/Intermediate Network Warfare Training (INWT), Cyber Defense Operations will be considered towards relevant experience requirement (i.e., 20- to 24-week courses will count as 6 months of experience; 10-14 weeks will count as 3 months of experience). In some cases, foreign language proficiency may also be used to satisfy experience requirements; recent Interagency language Roundtable (ILR) scores are required to substantiate your proficiency level. The total of all experience equivalencies is capped at half of the required years of experience.