1

Science Visualization Jobs in Colorado (NOW HIRING)

Data Processing: (Data management and curation, data description and visualization, workflow and ... science, and application specific knowledge. Through analytic modeling, statistical analysis ...

They are seeking a talented Data Scientist to join their team and play a pivotal role in analyzing ... visualization tools (e.g., Tableau, Power BI) • Familiarity with big data technologies (e.g ...

You are powerful in data science, business reporting, and statistical analysis. * You are ... You are excellent in Data Visualization. * You are good in using Cognos and Business Objects. You ...

Data Analyst

Denver, CO · On-site +1

$80K - $100K/yr

Data visualization * Data integration * ETL Development Qualifications: * Bachelor's Degree in Analytics, Economics, Mathematics, Computer Science or a related Field * 1-3 Years of Relevant job ...

Data Scientist AI/ML

Fort Collins, CO · On-site

$102K - $146K/yr

Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or related field. * 3+ ... Strong data storytelling and visualization skills (Tableau preferred). Compensation We offer a ...

Data Scientist AI/ML

Fort Collins, CO · On-site

$102K - $146K/yr

Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or related field. * 3+ ... Strong data storytelling and visualization skills (Tableau preferred). Compensation We offer a ...

Data Analyst

Denver, CO · Remote

$80K - $100K/yr

Data visualization * Data integration * ETL Development Qualifications: * Bachelor's Degree in Analytics, Economics, Mathematics, Computer Science or a related Field * 1-3 Years of Relevant job ...

Senior Data Analyst

Denver, CO · On-site +1

$90K - $120K/yr

Data visualization * Data integration * ETL Development * Statistical modeling and machine learning Qualifications: * Bachelors Degree in Analytics, Economics, Mathematics, Computer Science or a ...

Senior Data Analyst

Denver, CO · Remote

$90K - $120K/yr

Data visualization * Data integration * ETL Development * Statistical modeling and machine learning Qualifications: * Bachelors Degree in Analytics, Economics, Mathematics, Computer Science or a ...

Data Scientist 3

Colorado Springs, CO · On-site

$155K - $185K/yr

Data Processing: (Data management and curation, data description and visualization, workflow and ... Relevant experience must be in designing/implementing machine learning, data science, advanced ...

next page

Showing results 1-20

Science Visualization information

What jobs are good for visual thinkers?

Science visualization is well-suited for visual thinkers, as it involves creating visual representations of complex scientific data and concepts. Roles often require skills in graphic design, 3D modeling, and data interpretation, with tools like Adobe Creative Suite or visualization software. These jobs typically demand strong spatial reasoning and the ability to communicate information visually to diverse audiences.

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 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 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.

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 does a scientific visualizer do?

A scientific visualizer creates visual representations of complex scientific data and concepts to improve understanding and communication. They often use tools like 3D modeling, animation, and visualization software, and may work closely with researchers to accurately depict phenomena or data sets.

What jobs can I get with a visualization degree?

A visualization degree can lead to roles such as scientific visualization specialist, data visualization designer, or multimedia artist, often requiring skills in software like Adobe Creative Suite, Blender, or Tableau. These jobs typically involve creating visual representations of complex data or scientific concepts for research, education, or communication purposes.
What are popular job titles related to Science Visualization jobs in Colorado? For Science Visualization jobs in Colorado, the most frequently searched job titles are:
What cities in Colorado are hiring for Science Visualization jobs? Cities in Colorado with the most Science Visualization job openings:
Infographic showing various Science Visualization job openings in Colorado as of July 2026, with employment types broken down into 1% Internship, 1% As Needed, 76% Full Time, 20% Part Time, and 2% Contract. Highlights an 77% Physical, 3% Hybrid, and 20% Remote job distribution.

Data Scientist 3

GRVTY

Colorado Springs, CO • On-site

Other

Re-posted 2 days ago


Job description

What You'll be Owning:

  • We are seeking a Data Scientist to support our NLP project focused on accurate and automatic tokenization of language data from spoken or written sources. In this role, you will develop automated solutions for annotating language data with parts of speech information and enhance existing models by evaluating their performance against human-generated annotations for both speech and text. Your contributions will be crucial in advancing our NLP capabilities and ensuring high-quality language processing.

What You Must Have:

  • Possess 2 or more of the following skill areas:
    • Foundations: (Mathematical, Computational, Statistical)
    • Data Processing: (Data management and curation, data description and visualization, workflow and reproducibility)
    • Modeling, Inference, and Prediction: (Data modeling and assessment, domain-specific considerations)
  • Devise strategies for extracting meaning and value from large datasets.
  • Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application specific knowledge. Through analytic modeling, statistical analysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique features and limitations inherent in Government data holdings.
  • Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data. Effectively communicate complex technical information to non-technical audiences. Make informed recommendations regarding competing technical solutions by maintaining awareness of the constantly shifting Government collection, processing, storage and analytic capabilities and limitations.
  • Bachelor's degree with 10 years of relevant experience or Associate's degree with 12 years of relevant experience
    • Bachelor's degree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations Research, or Computer Science or a degree in a related field (Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g. physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e. behavioral, social, or life) may be considered if it included a concentration of coursework (5 or more courses) in advanced Mathematics (typically 300 level or higher, such as linear algebra, probability and statistics, machine learning)  and/or computer science (e.g. algorithms, programming, data structures, data mining, artificial intelligence).  College-level requirement, or upper-level math courses designated as elementary or basic do not count. Note: A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university.
  • Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g. Python)), statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering. Experience in more than one area is strongly preferred.
  • Active TS/SCI w/ poly