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Science Visualization Jobs in Wisconsin (NOW HIRING)

Are you passionate about dairy science and interested in using data to improve herd performance ... Experience with Power BI, Tableau, or other visualization tools. * Peer-reviewed publications ...

Are you passionate about dairy science and interested in using data to improve herd performance ... Experience with Power BI, Tableau, or other visualization tools. * Peer-reviewed publications ...

... data science, statistics, economics, or similar). A graduate degree will be helpful, but not ... Strong data-visualization skills and a 'storytelling with data' sensibility. * Experience ...

Municipal Engineer →

La Crosse, WI · On-site

$75K - $150K/yr

Your team will include surveyors, architects, landscape architects, environmental scientists, visualization, applied technology, and construction specialists. Together we will live our ISG mission to ...

Data Scientist

Madison, WI · On-site +1

$90K - $120K/yr

... data science, statistics, economics, or similar). A graduate degree will be helpful, but not ... Strong data-visualization skills and a 'storytelling with data' sensibility. * Experience ...

... data science, statistics, economics, or similar). A graduate degree will be helpful, but not ... Strong data-visualization skills and a 'storytelling with data' sensibility. * Experience ...

As a key member of the Data Science team, the data scientist will deploy data-driven exploratory ... Proficiency with data visualization and business intelligence tools (e.g., Tableau or equivalent)

As a key member of the Data Science team, the data scientist will deploy data-driven exploratory ... Proficiency with data visualization and business intelligence tools (e.g., Tableau or equivalent)

$35/hr

The data science intern will help drive proactive and predictive insights that inform strategic ... By leveraging tools like Python, SQL, and data visualization platforms, the intern will contribute ...

$35/hr

The data science intern will help drive proactive and predictive insights that inform strategic ... By leveraging tools like Python, SQL, and data visualization platforms, the intern will contribute ...

Showing results 21-40

Science Visualization information

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 are the key skills and qualifications needed to thrive as a science visualization specialist?

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 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 jobs use scientific illustration?

Scientific illustration is used in roles such as scientific illustrators, medical illustrators, and biological artists who create detailed visuals for textbooks, research publications, and educational materials. These professionals often work in laboratories, research institutions, or freelance settings, utilizing tools like Adobe Illustrator and Photoshop, and may require a background in biology or art.

What job categories do people searching Science Visualization jobs in Wisconsin look for?

The top searched job categories for Science Visualization jobs in Wisconsin are:

Infographic showing various Science Visualization job openings in Wisconsin as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 19% Part Time, and 3% Contract. Highlights an 73% Physical, 4% Hybrid, and 23% Remote job distribution.

Dairy Data Scientist

Madison, WI

AgSource
Crop Farming • 51 - 200 employees

Full-time

Posted 17 days ago


Job description

Are you passionate about dairy science and interested in using data to improve herd performance, animal health, and farm decision-making?

VAS, a URUS Group company, is looking for a Dairy Data Scientist who brings strong knowledge of dairy production and the ability to apply statistics, analytics, and programming to real-world dairy challenges.

This role sits at the intersection of dairy science, research, analytics, and technology. You'll work with veterinarians, nutritionists, dairy scientists, farm operators, data engineers, and software teams to analyze biological, production, sensor, and operational data and turn it into meaningful insights for the dairy industry.

What You'll Do

  • Analyze dairy production, herd health, nutrition, reproduction, sensor, genomic, and operational data.

  • Apply statistical analysis and predictive modeling to identify trends, risks, and opportunities related to herd performance.

  • Support dairy research initiatives, field trials, experimental design, data analysis, and technical reporting.

  • Use tools such as Python, R, SQL, Databricks, or similar analytics platforms to explore and analyze complex datasets.

  • Help develop dashboards, reports, decision-support tools, and automated analytics.

  • Evaluate precision dairy technologies, herd-management systems, automated milking systems, IoT devices, and other emerging technologies.

  • Partner with veterinarians, nutritionists, farm managers, researchers, data scientists, and engineers.

  • Translate scientific findings and analytical results into practical recommendations for dairy operations and business teams.

What We're Looking For

  • Bachelor's degree in Dairy Science, Animal Science, Agricultural Science, Statistics, Data Science, Veterinary Science, Biology, or a related field.

  • Meaningful academic, research, or professional experience related to dairy cattle, dairy production, herd health, nutrition, reproduction, milk production, or animal science.

  • Experience using data and statistics to answer scientific or operational questions.

  • Some hands-on programming or analytics experience with tools such as Python, R, SQL, SAS, or similar technologies.

  • Knowledge of statistical analysis, experimental design, or predictive modeling.

  • Ability to communicate scientific and analytical findings to both technical and non-technical audiences.

  • Curiosity and willingness to learn new data platforms and technologies.

Even Better If You Bring

  • Master's or PhD with research focused on dairy production, animal science, nutrition, reproduction, genetics, or animal health.

  • Experience working with dairy herd-management, DHIA, sensor, genomic, or precision dairy data.

  • Experience with Databricks, PySpark, Delta Lake, or cloud-based analytics platforms.

  • Experience with machine learning or predictive modeling.

  • Experience with Power BI, Tableau, or other visualization tools.

  • Peer-reviewed publications, conference presentations, or technical research reports.

  • Direct exposure to dairy farm operations and an understanding of how scientific recommendations translate into day-to-day farm decisions.

Why This Role

This is an opportunity to combine dairy science with modern analytics and help solve meaningful problems affecting herd health, production efficiency, sustainability, and farm profitability.

You don't need to arrive as an expert in every technology we use. If you bring strong dairy knowledge, scientific curiosity, quantitative skills, and some coding experience, we want to hear from you.

For the past 40 years we've woken up each day to support those that never stop feeding the world - and we have no plans to quit. We set the standard for farm management solutions and fix our eyes on raising the bar to meet the next generation of expectations.

Our software and information solutions help collect and connect a farm's data - from herd management to feed performance, tracking and more. These insights are a source of truth, empowering producers and their trusted advisors to make profit-driven and sustainable management decisions.

Whether near or far, large or small, VAS is at the heart of your dairy.

VAS has deep roots in the industry through its origin within the URUS family of companies. As a holding company with cooperative and private ownership, URUS is a family of businesses at the heart of the dairy and beef industry - Alta Genetics, GENEX, Genetics Australia, Leachman Cattle, Jetstream, PEAK, SCCL, Trans Ova Genetics and VAS.  Each organization has its unique identity, products, and services. These companies work globally to provide cutting-edge dairy and beef genetics, customized reproductive services to maximize conceptions, dairy management information to take producers to the frontline of progressive dairy farming, and an array of products and services to help bovines reach their full genetic potential. URUS has 9 brands in 17 retail countries and employs nearly 2,800 people globally.