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Data Science Associate Jobs in Mapleton, UT (NOW HIRING)

Controls Engineer - Data Centers

Provo, UT

$79K - $102.20K/yr

... Life Sciences, Mission Critical, Metals & Mining, Warehousing & Distribution, and CPG/Food ... To be successful, you must be an effective collaborator with customers and other associates to ...

Recent graduate (or soon to be) in Computer Science, Information Systems, Business Analytics ... Basic understanding of APIs, webhooks, or data integrations. * Familiarity with SQL, Python, or ...

Associate AI Operations

Provo, UT · On-site

$50K - $90K/yr

Recent graduate (or soon to be) in Computer Science, Information Systems, Business Analytics ... Basic understanding of APIs, webhooks, or data integrations. * Familiarity with SQL, Python, or ...

Recent graduate (or soon to be) in Computer Science, Information Systems, Business Analytics ... Basic understanding of APIs, webhooks, or data integrations. * Familiarity with SQL, Python, or ...

Senior Controls Engineer - Data Centers

Provo, UT · On-site

$91.80K - $121.10K/yr

... Life Sciences, Mission Critical, Metals & Mining, Warehousing & Distribution, and CPG/Food ... To be successful, you must be an effective collaborator with customers and other associates to ...

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Data Science Associate information

See Mapleton, UT salary details

$54.2K

$64.2K

$121.7K

How much do data science associate jobs pay per year?

As of May 28, 2026, the average yearly pay for data science associate in Mapleton, UT is $64,184.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,700.00 and $56,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Science Associate, and why are they important?

To thrive as a Data Science Associate, you need strong analytical skills, a solid foundation in statistics and mathematics, and proficiency in programming languages like Python or R, often supported by a degree in data science, computer science, or a related field. Familiarity with machine learning frameworks, data visualization tools, and database systems such as SQL is typically required. Excellent problem-solving abilities, effective communication, and collaboration skills help you translate complex data insights into actionable business strategies. These skills are vital for extracting meaningful value from data and supporting data-driven decision-making within organizations.

How does a Data Science Associate typically collaborate with other departments or teams within an organization?

Data Science Associates frequently work cross-functionally, partnering with teams such as engineering, product management, and business analytics to understand project requirements, share findings, and implement data-driven solutions. Collaboration often involves translating complex data results into actionable insights for non-technical stakeholders, ensuring alignment on project goals and deliverables. This role requires strong communication skills, as associates routinely participate in meetings, present analyses, and gather feedback to refine their models or analyses. Effective teamwork helps ensure that data science initiatives support broader business objectives.

What are Data Science Associates?

Data Science Associates are early-career professionals who support data-driven projects by collecting, cleaning, analyzing, and interpreting large datasets. They typically work under the guidance of more experienced data scientists and help build predictive models, generate reports, and provide insights to inform business decisions. This role often requires proficiency in programming languages like Python or R, familiarity with statistical methods, and strong problem-solving skills. Data Science Associates play a crucial part in transforming raw data into actionable information for organizations.

Is data science dead in 10 years?

Data Science Associate roles are expected to remain relevant in the next decade as organizations continue to rely on data-driven decision making. Advances in automation and AI may change some tasks, but skills in statistical analysis, programming, and machine learning will still be valuable for interpreting complex data. Continuous learning and adapting to new tools like Python, R, and cloud platforms will be important for future success in the field.

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

AspectData Science AssociateData Analyst
Required CredentialsBachelor's degree in Data Science, Statistics, or related field; some roles prefer certifications in data analysis or programmingBachelor's degree in Statistics, Mathematics, or related field; often no advanced certifications required
Work EnvironmentCollaborates with data scientists and engineers; involved in building models and algorithmsFocuses on data collection, cleaning, and reporting; supports decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms for data-driven projectsCommon across various industries for business insights and reporting

The Data Science Associate role typically involves more technical work like building models and applying machine learning, whereas Data Analysts focus on interpreting data and creating reports. Both roles require strong analytical skills, but Data Science Associates often have a deeper understanding of programming and statistical modeling.

What are the most commonly searched types of Data Science jobs in Mapleton, UT? The most popular types of Data Science jobs in Mapleton, UT are:
What cities near Mapleton, UT are hiring for Data Science Associate jobs? Cities near Mapleton, UT with the most Data Science Associate job openings:
Data Visualization & Tools Specialist

Data Visualization & Tools Specialist

CenCore LLC

Springville, UT • On-site

Full-time

Posted 14 days ago


Job description

Description
We seek a motivated and talented Data Visualization and Tooling Specialist to join our team in Payson, Utah. This is an exciting opportunity for an individual interested in data automation, modeling, and visualization. This is a 1-2 year contract position (with the possibility for extended work) for a recent graduate. It is an excellent opportunity to work in a collaborative environment with experienced data professionals and gain valuable real-world data skills and experience.
This role focuses on building and sustaining dashboards, reporting automation, and lightweight tools that turn operational and physical security data into trusted, actionable insights. The data visualization and tooling specialist will partner with business stakeholders and data owners to define metrics, model data, and deliver high-quality reporting solutions, primarily across Microsoft platforms.
Key Responsibilities
  • Build and maintain complex data and semantic models to support consistent metrics across reports.
  • Develop, publish, and maintain data visualizations and dashboards in Power BI that clearly communicate trends, risks, and operational performance.
  • Learn and apply data modeling and engineering principles, including KPI definition and reusable measures.
  • Build data pre-processing, intake, and reporting automation using Microsoft Forms, SharePoint Lists, Power Apps, Power Automate, and Power BI.
  • Monitor data refreshes, validate data integrity, and help identify and resolve data quality or reliability issues in coordination with data owners.
  • Participate in data storytelling projects, turning complex data sets into clear, executive-ready visualizations.
  • Write extensive documentation for data models, workflows, definitions, and methodologies, especially for your own projects.

What We Offer
  • 1-2 year contract position (with possible extended work).
  • Hands-on experience with industry-leading data modeling and visualization tools.
  • A collaborative environment to learn and grow your skills.
  • Opportunity to work on real-world projects and make an impact.
  • Mentorship and guidance from experienced data professionals.

Requirements
Job Requirements
Qualifications
  • Must be able to work in the Payson, Utah office.
  • U.S. Citizenship and minimum age of 18 years.
  • High School Diploma or GED (Associate or Bachelor's degree preferred).
  • Ability to analyze data and deliver insights through data manipulation and visualization.
  • Experience with Microsoft Forms, SharePoint Lists, Power Apps, Power Automate, and Power BI.
  • Familiarity with programming concepts and/or languages.
  • Ability to troubleshoot reporting, data refresh, or connector issues and work with data owners to resolve them.
  • Strong written and verbal communication skills.
  • Self-motivated to learn new skills, identify problems, and create solutions.
  • A team player who can work well in a multi-role environment.

Preferred Qualifications
  • Recent graduate from an undergraduate program in Information Systems, Data Science, Computer Science, Information Technology, or a related field.
  • Experience building dashboards or operational reporting solutions, preferably in Power BI.
  • Familiarity with data modeling concepts (e.g., measures vs. dimensions, basic star schema).
  • Experience with PowerShell automation.
  • Exposure to SQL or Python for data analysis or validation.
  • Experience working with sensitive data, physical security concepts, or government security clearance environments.
  • Ability to communicate insights clearly to both technical and non-technical audiences.