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Science Visualization Jobs in Illinois (NOW HIRING)

Data Scientist

Chicago, IL · On-site

$90K - $130K/yr

Methods include basic descriptive approaches including trending and visualization to advanced ... science field; 1-3 years in consulting preferred; 1-3 years in casualty or absence management ...

IL · On-site

... analytics and visualization initiatives used in the USTRANSCOM change and knowledge management processes. As an Intellect Solutions Data Scientist, you will have the opportunity to research ...

Experience with machine learning frameworks (TensorFlow, PyTorch) and data visualization tools; Prior commercial experience applying data science specifically to cybersecurity, vulnerability ...

Product Data Scientist

Schaumburg, IL · On-site

$74K - $111K/yr

... science, analytics, or product analytics experience. Description of Minimum Experience Required: * Demonstrated ability to conduct and interpret quant. Analysis * Proficiency in visualization tools ...

... visualization technologies. • Conducting research on data model optimization and algorithms to improve effectiveness and accuracy on data analyses. Qualifications : Required : • Business ...

Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical ... visualization, Scala, Django No third party candidates or c2c candidates. To apply for this ...

AI Data Scientist Sr.

Naperville, IL · On-site

$120K - $160K/yr

... science, and analysis experience with solid background in the using data visualization tools and libraries and data exploration, data wrangling, and feature engineering. Experience with natural ...

... visualization tools; - Prior commercial experience applying data science specifically to cybersecurity , vulnerability management , or financial risk models ; - Upper-intermediate English level. NICE ...

... visualization tools; - Prior commercial experience applying data science specifically to cybersecurity , vulnerability management , or financial risk models ; - Upper-intermediate English level. NICE ...

... visualization tools; - Prior commercial experience applying data science specifically to cybersecurity , vulnerability management , or financial risk models ; - Upper-intermediate English level. NICE ...

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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 job categories do people searching Science Visualization jobs in Illinois look for? The top searched job categories for Science Visualization jobs in Illinois are:
What cities in Illinois are hiring for Science Visualization jobs? Cities in Illinois with the most Science Visualization job openings:
Infographic showing various Science Visualization job openings in Illinois as of June 2026, with employment types broken down into 43% Full Time, 55% Part Time, and 2% Nights. Highlights an 77% Physical, 2% Hybrid, and 21% Remote job distribution.
Data Scientist

Full-time

Posted 6 days ago


Job description

Job Description

Intellect Solutions LLC, an Economically Disadvantaged Woman Owned Small Business (EDWOSB) and Hub Zone Certified Firm is seeking a Data Scientist to drive mission analytics and visualization initiatives used in the USTRANSCOM change and knowledge management processes. As an Intellect Solutions Data Scientist, you will have the opportunity to research, experiment and conduct data modeling, data management and data analytics while utilizing machine-learning models, workflows and tools. You will also lead or assist is developing and implementing systems engineering, process and technology solutions that allow rapid association of broadly sourced data sets in a graphically interactive user-space to facilitate information sharing and decision-making. The ideal candidate must be passionate about solving problems, discovering insights, and support decisions using data.

Required Skills 

  • U.S. Citizenship, required Active Secret Clearance. 
  • Must be a lifelong learner, willing to share and grow the knowledge of those around them.
  • Strong qualitative and quantitative analysis skills.
  • Provide technology, activity, and scale agnostic solutions to establish and operationalize insights-driven decision-making at the command level and align outputs to command operational requirements through web-based systems.
  • Conduct data modeling and management to assemble data structures and lineage
  • Develop analytic models and tools using a variety of commercial-off-the-shelf and open source capabilities like Jupyter or Zeppelin notebooks and exposed application programing interfaces, as well as business intelligence, and visualization tools such as Tableau, Qlik, and COGNOS
  • Research, develop, and apply statistical and machine learning model workflows and tools such as Argo and Kubeflow Pipelines to build, train, and test new machine learning models, such as ModelDB to carry out model tuning, data and model provenance, and storing trained models
  • Deploy, monitor, and update models in production, and languages and frameworks such as Python, R, Julia, Scala, and several legacy deep-learning libraries such as Theao, Caffe2, and Torch
  • Assist the command with cloud implementations, including assessment, application rationalization, data migration and management, and machine learning and artificial intelligence analytics in a cloud environment
  • Recommend improvements to associated workflows as defined by the customer
  • Create user space that is primarily enabled by automatically accumulated, compiled, processed, and correlated information of value
  • Design and create user experience for an intuitive output consisting of 'fewest clicks to an answer' while iteratively creating capacity for 'minimum viable capability' with extensibility as a core tenant
  • Connect data sources across an organization, align datasets to a unified schema, consolidate a unified dataset through entity de-duplication and mastering when necessary, and classify records into a taxonomy for downstream analysis

  Required Experience

  • BS/BA in related degree such as Data Analytics, Operations Research, Economics, Engineering, Mathematics, etc. (Other education, commensurate experience and demonstrated ability of individual may be substituted)
  • Minimum of 2-3 years professional work experience providing data analytics services.
Additional Information

All your information will be kept confidential according to EEO guidelines.