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Science Visualization Jobs (NOW HIRING)

D&G Solutions

Data Scientist

Bellevue, NE · On-site

... science, visualization, and database work. • Expertise in: AI/ML modeling and statistical analysis • Expertise in: LLM usage and text analytics • Expertise in: Python for automation and data ...

D&G Support Services, LLC

Data Scientist

NE · On-site

Minimum 7+ years of combined experience in data science, visualization, and database work. * Expertise in: * AI/ML modeling and statistical analysis * LLM usage and text analytics * Python for ...

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Science Visualization information

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$24.5K

$48.4K

$79K

How much do science visualization jobs pay per year?

As of Jul 8, 2026, the average yearly pay for science visualization in the United States is $48,391.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,500.00 and $52,000.00 per year, depending on experience, location, and employer.

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.
More about Science Visualization jobs
What cities are hiring for Science Visualization jobs? Cities with the most Science Visualization job openings:
What states have the most Science Visualization jobs? States with the most job openings for Science Visualization jobs include:
What job categories do people searching Science Visualization jobs look for? The top searched job categories for Science Visualization jobs are:
Science Visualization jobs near you
Infographic showing various Science Visualization job openings in the United States 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 79% Physical, 2% Hybrid, and 19% Remote job distribution, with an average salary of $48,391 per year, or $23.3 per hour.
Data Scientist

Data Scientist

D&G Solutions

Bellevue, NE • On-site

Full-time

Posted 14 days ago

Job description

Job Summary:
D&G Solutions is a rapidly growing company that prioritizes its people and mission success. They are seeking a Data Scientist to support USSTRATCOM/J7 assessments by integrating data sources and applying predictive modeling to inform decision-making for senior leaders.
Responsibilities:
• Integrate, analyze, and evaluate diplomatic, informational, military, and economic data to assess progress toward strategic deterrence and operational objectives.
• Develop and refine measurement criteria (MOEs/MOPs), scoring standards, and defensible assessment logic for formal reporting.
• Build structured, secure, scalable data systems and develop automated monitoring pipelines for intelligence, OSINT, diplomatic, and after‑action data.
• Apply advanced statistical methods and machine‑learning models to identify patterns, forecast outcomes, and uncover new trends.
• Develop dashboards, visualization tools, GUIs, and connectors that enhance decision‑making and improve assessment workflows.
• Produce graduate‑level written analyses, executive briefings, and clear, actionable reports for senior leaders.
• Support operations, campaign, risk, and Joint Force assessments by synthesizing trends, evaluating OAI (operations, activities, investments), and identifying cost‑benefit impacts.
• Utilize AI/ML tools—including LLM text analytics—to augment analytic depth and accelerate assessment processes.
• Participate in boards, bureaus, centers, cells, and working groups as an analytic subject‑matter expert.
• Contribute to continuous improvement of assessment tools, models, and methodologies.
• Other duties assigned by Program Manager.
Qualifications:
Required:
• Bachelor’s degree or higher in data science, computer science, statistics, applied mathematics, applied physics, or related discipline.
• Minimum 7+ years of combined experience in data science, visualization, and database work.
• Expertise in: AI/ML modeling and statistical analysis
• Expertise in: LLM usage and text analytics
• Expertise in: Python for automation and data processing
• Expertise in: SQL and relational schema design
• Expertise in: Visualization using Tableau/Power BI
• Expertise in: Integration with commercial AI/ML platforms (Maven Smart Systems, Databricks, AWS SageMaker)
• Familiarity with API/RSS data ingestion and Agile team collaboration.
• Active TS/SCI clearance required.
• This role is restricted to U.S. person(s) (U.S. citizens, permanent residents, and other protected individuals under 8 U.S.C. 1324b(a)(3)).
Company:
People-powered logistics & supply chain ingenuity for our Nation’s most critical missions. Bring us your Goliaths. Founded in 2007, the company is headquartered in Woodbridge, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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