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Science Visualization Jobs in Utah (NOW HIRING)

Guides students through data cleaning with Pandas, exploratory analysis with visualization ... Familiar with data science curricula and bootcamp programs, and common challenges such as data ...

Guides students through data cleaning with Pandas, exploratory analysis with visualization ... Familiar with data science curricula and bootcamp programs, and common challenges such as data ...

Guides students through data cleaning with Pandas, exploratory analysis with visualization ... Familiar with data science curricula and bootcamp programs, and common challenges such as data ...

Guides students through data cleaning with Pandas, exploratory analysis with visualization ... Familiar with data science curricula and bootcamp programs, and common challenges such as data ...

Proficiency in programming and data science tools: * Languages: Python, R, or Java * Libraries/Frameworks: NumPy, Scikit-learn, PyTorch, TensorFlow * Visualization: Matplotlib, Seaborn, GGPlot ...

Proficiency in programming and data science tools: * Languages: Python, R, or Java * Libraries/Frameworks: NumPy, Scikit-learn, PyTorch, TensorFlow * Visualization: Matplotlib, Seaborn, GGPlot ...

Proficiency in programming and data science tools: * Languages: Python, R, or Java * Libraries/Frameworks: NumPy, Scikit-learn, PyTorch, TensorFlow * Visualization: Matplotlib, Seaborn, GGPlot ...

Partner across crossfunctional analytics teams-including DW engineers, ETL engineers, data science ... Strong capability in advanced data visualization and highvolume BI tools such as Tableau or ...

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Science Visualization information

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

To thrive as a Science Visualization Specialist, you need a solid background in scientific concepts, data analysis, and visual storytelling, often supported by a degree in science, graphic design, or a related field. Proficiency with visualization tools such as Python (Matplotlib, Seaborn), R, Adobe Creative Suite, or 3D modeling software is typically required. Strong communication, creativity, and attention to detail help translate complex data into clear, engaging visuals for diverse audiences. These skills are crucial for accurately conveying scientific information and fostering understanding among stakeholders and the public.

How does a Science Visualization professional typically collaborate with researchers and other stakeholders during a project?

Science Visualization professionals often work closely with researchers, subject matter experts, and communication teams to accurately represent complex data and scientific concepts. Early in a project, they attend meetings to understand the research goals and identify key messages. Throughout the process, they maintain open communication to ensure that visualizations are both scientifically accurate and visually engaging. This collaboration may involve iterative feedback sessions, adjustments to visual elements, and discussions about the best formats for target audiences. Such teamwork is essential for producing effective and credible visual content.

What is science visualization?

Science visualization is the process of creating visual representations of scientific data or concepts to make them easier to understand and communicate. This can include charts, graphs, animations, 3D models, and interactive graphics. Science visualization helps researchers, educators, and the public interpret complex information, discover patterns, and share findings effectively. It combines expertise in science, data analysis, and visual design.

What is the difference between Science Visualization vs Scientific Illustrator?

AspectScience VisualizationScientific Illustrator
Required CredentialsDegree in science, visualization, or related fields; skills in 3D modeling and visualization softwareDegree in fine arts, illustration, or related fields; proficiency in traditional and digital illustration tools
Work EnvironmentResearch labs, universities, media companies, scientific institutionsPublishing houses, research institutions, freelance work, scientific publications
Employer & Industry UsageUsed by scientists and educators to create visual data representationsUsed by publishers, researchers, and museums to produce detailed scientific illustrations

Science Visualization focuses on creating digital visual representations of scientific data and concepts, often using 3D modeling and animation. Scientific Illustrators produce detailed, hand-drawn or digital illustrations to communicate scientific ideas visually. While both roles require scientific understanding, visualization emphasizes data-driven visuals, whereas illustration emphasizes artistic accuracy and detail.

What cities in Utah are hiring for Science Visualization jobs? Cities in Utah with the most Science Visualization job openings:
Data Visualization & Tools Specialist

Data Visualization & Tools Specialist

CenCore LLC

Springville, UT • On-site

Full-time

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


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.