1

Science Visualization Jobs in Chicago, IL (NOW HIRING)

Product Data Scientist

Schaumburg, IL ยท 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 ...

What You'll Bring โ€ข Education - bachelor's degree in computer science, statistics, mathematics ... โ€ข Visualization & Communication - Familiarity with data visualization tools (e.g., Plotly ...

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

Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical ... NLP, Deep Learning, Data visualization, Scala, Django No third party candidates or c2c candidates ...

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

Launch your data science or technical analyst career by building AI and analytics solutions that ... Python, SQL, Machine Learning, Generative AI, Cloud Platforms, Data Visualization Tools, IoT ...

Data Scientist (No H1B) Sonsoft, Inc. is a USA based corporation duly organized under the laws of ... visualization (e.g., matplotlib, ggplot, vega, d3.js) or data processing (e.g., Spark, Stanford ...

... visualization, advanced modeling and communication of applicable insights to audiences at varying levels of technical sophistication. * Help drive our data science culture and strategy.

... visualization, advanced modeling and communication of applicable insights to audiences at varying levels of technical sophistication. * Help drive our data science culture and strategy.

Principal Data Scientist (Chicago)

Chicago, IL ยท On-site

$122K - $228K/yr

... of data science experience. * In-depth knowledge in machine learning and deep learning models, such as but not limited to, XGboosting, LSTM and LLM etc. * Data visualization and polished ...

next page

Showing results 1-20

Science Visualization information

See Chicago, IL salary details

$25.2K

$49.9K

$81.4K

How much do science visualization jobs pay per year?

As of Jul 7, 2026, the average yearly pay for science visualization in Chicago, IL is $49,850.00, according to ZipRecruiter salary data. Most workers in this role earn between $39,700.00 and $53,600.00 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.
What are popular job titles related to Science Visualization jobs in Chicago, IL? For Science Visualization jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Science Visualization jobs in Chicago, IL look for? The top searched job categories for Science Visualization jobs in Chicago, IL are:
Infographic showing various Science Visualization job openings in Chicago, IL as of July 2026, with employment types broken down into 1% Internship, 1% As Needed, 77% Full Time, 19% Part Time, and 2% Contract. Highlights an 78% Physical, 3% Hybrid, and 19% Remote job distribution, with an average salary of $49,850 per year, or $24 per hour.
Product Data Scientist

Product Data Scientist

ISACA

Schaumburg, IL โ€ข On-site

$74K - $111K/yr

Full-time

Posted 9 days ago


Job description

About ISACA
ISACAยฎ (www.isaca.org) champions the global workforce advancing trust in technology. For more than 55 years, ISACA has empowered its community of 195,000+ members with the knowledge, credentials, training and network they need to thrive in fields like information security, governance, assurance, risk management, data privacy and emerging tech. With a presence in more than 195 countries and with more than 230 chapters worldwide, ISACA offers resources tailored to every stage of members' careers-helping them to thrive in a rapidly changing digital landscape, drive trusted innovation and ensure a more secure digital world. Through the ISACA Foundation, ISACA also expands IT and education career pathways, fostering opportunities to grow the next generation of technology professionals.
Overview
The Product Data Scientist works with the product team to provide an impact by leveraging data and analytical tools, strategic thinking, and hypothesis-based analysis on diverse product and market data sources. The Product Data Scientist is responsible for modeling complex business problems through statistical, algorithmic, mining, and visualization techniques. Further, they will support senior leadership by creating business insights, reports, and analyses to aid in the decision-making processes and shape the way ISACA's products are measured. The outputs of this role will assist in developing strategies, evaluating initiatives, and defining and tracking KPIs - leading the way for high-quality, data-driven decisions to be made by the product team. Their input will be essential to decision making for product and initiatives that the team creates by helping define the way performance is measured and what questions we should be asking. This role will work closely with not only the product team, but also IT, Finance, Operations, and other departments.
Responsibilities
Reporting & Analytics
  • Performs large-scale experimentation and builds data-driven models to answer business questions from structured and unstructured data sets
  • Proactively mines internal and external data sources to identify trends, patterns, and generate insights into business units and senior leadership
  • Performs experimentation to identify hidden relationships between variables in datasets
  • Research and implement cutting-edge techniques and tools in machine learning/deep learning/artificial intelligence to make data analysis more efficient
  • Apply statistical analysis, machine learning, and visualization techniques to various data.
  • Supporting the product team with analytics throughout the development process, from high-level product roadmap prioritization to post-launch review
  • Overall, provide a detail-oriented, impact-oriented, customer-centric approach to data analysis

Discovery & Insights
  • Design and conduct data analysis on ISACA's products and relevant markets, providing deeper insights and enabling the organization to refine budgets, forecasts, and segmentation.
  • Dive deep into data and provide insights and recommendations to drive product innovation, define product goals, and ensure product goals and forecasts can be met or exceeded.
  • Research and report on competitors and market trends to benchmark ISACA's current and potential offerings and inform go-to-market strategies
  • Translate business needs into analytics/reporting requirements to support strategic decisions and team workflows with required information

Stakeholder Management
  • Create a roadmap for data analysis projects, working with stakeholders to determine and establish priorities to balance ongoing projects with ad hoc requests.
  • Facilitate communication across teams and stakeholders throughout all phases of data analysis, from ideation to measurement to reporting.
  • Contribute to an effective work environment by setting a positive tone, establishing performance expectations, and driving accountability.

Other Duties
  • Support product team members' efforts to build their data literacy with guided support and ad hoc training on data analysis results to make sure they are accurately relayed to business stake holders.
  • Work with cross-functional stakeholders to align data access and architectures across organizational initiatives and key data-driven projects.

Qualifications
Required Field of Study:
  • Bachelor's degree in Business, Computer Science, Data Science, Information Science, or equivalent work experience

Minimum Years of Experience Required:
  • 3+ years of data science, analytics, or product analytics experience.

Description of Minimum Experience Required:
  • Demonstrated ability to conduct and interpret quant. Analysis
  • Proficiency in visualization tools like Power BI and Tableau
  • Experience with programming languages and/or statistical analysis tools such as Python, C++, JavaScript, R, SAS, Excel, SQL, MATLAB, SPSS
  • Knowledge of statistical and data mining techniques such as descriptive and inferential statistics, feature engineering, generalized linear modeling, regression, text mining, hierarchical clustering, supervised and unsupervised learning, etc.
  • Ability to express complex information and communicate the 'data story' in simple, digestible ways
  • Excellent written and oral communication skills

Preferred Field of Study:
  • Bachelor's degree in Business, Computer Science, Data Science, Information Science, or equivalent work experience

Preferred Years of Experience:
  • 5+ years of data science, analytics, or product analytics experience.

Description of Preferred Experience:
  • Fluency in multiple programming languages and statistical analysis tools such as Python, C++, JavaScript, R, SAS, Excel, SQL, MATLAB, SPSS
  • Fluency in multiple statistical and data mining techniques such as descriptive and inferential statistics, feature engineering, generalized linear modeling, regression, text mining, hierarchical clustering, supervised and unsupervised learning, etc.
  • Strong understanding of AI, its potential roles in solving business problems, and the future trajectory of AI capabilities

Competencies/Skills Required:
  • Tenacious, curious, and a fast learner - able to overcome obstacles to get answers
  • Enthusiasm for metrics, research, KPIs, and data exploration
  • Willingness and ability to learn new technologies on the job
  • Ability to communicate complex projects, models, and results to a diverse audience with a wide range of understanding
  • Ability to work in diverse, cross-functional teams in a dynamic business environment
  • Superior presentation skills, including storytelling and other techniques to guide and inspire
  • Impeccable follow through
  • Strong written and verbal communication skills to share insights and influence stakeholders
  • Ability to synthesize complex data into actionable insights and goals
  • Critical thinking skills to recommend original and productive ideas
  • Well organized, detail-oriented and self-motivated
  • Comfortable in a fast paced constantly changing environment
  • A self-starter with a strong bias for action

Ability to travel, as needed, to meet with chapters, members, and partners; attend conferences, events, and organizational meetings; and participate in company-sponsored trainings. Periodic travel to the Pittsburgh office and other locations may be required to support team collaboration and business objectives.
Equal Opportunity Employer (EEO)
ISACA is proud to be an equal opportunity employer. ISACA is committed to building an environment of diversity, equity, and inclusion where equal employment opportunities are available to all applicants and employees without regard to race, color, religion, sex (including pregnancy and gender identity), national origin, age, ancestry, disability, genetic information, citizenship, sexual orientation, veteran status, marital status, familial status, military discharge status, or any other characteristic or status protected by federal, state, or local law. We support an inclusive workplace where employees excel based on merit, qualifications, experience, and ability.
Posted Salary Range
USD $74,659.00 - USD $111,988.00 /Yr.
Benefits Information
Benefits Information available below:
ISACA Career Opportunities and Benefits