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Science Visualization Jobs in Garland, TX (NOW HIRING)

... and visualization. Your work will enable natural language-driven insights and empower decision ... A strong technical foundation in Computer Science, Engineering, or a related field, and 2+ years of ...

Data Scientist

Dallas, TX · On-site

$85K - $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 ...

Bachelor's degree in Computer Science, or a related technical field * Deep understanding and some ... metrics visualization * Experience in ML/NLP development pipelines of large data sets, both ...

Architect, Data Science

Arlington, TX · On-site

$155 - $190/hr

Data Strategy & Advisory, Data Engineering, Analytics & Visualization, Generative AI & ML, and ... As part of our growing Data Science practice, this role offers an exciting opportunity to lead ...

Decision Science Analyst Senior

Plano, TX · On-site +1

$84K - $111K/yr

As a dedicated Decision Science Analyst Senior, you will Provide decision support for business ... Incorporates visualization techniques to support the relevant points of the analysis and ease the ...

Deep familiarity with data visualization principles, charting systems, dashboard design, and the cognitive science of how people interpret and act on data * Experience delivering within Lean, Agile ...

Showing results 41-60

Science Visualization information

See Garland, TX salary details

$23.7K

$46.8K

$76.3K

How much do science visualization jobs pay per year?

As of Aug 25, 2026, the average yearly pay for science visualization in Garland, TX is $46,754.00, according to ZipRecruiter salary data. Most workers in this role earn between $37,200.00 and $50,200.00 per year, depending on experience, location, and employer.

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 are popular job titles related to Science Visualization jobs in Garland, TX?

For Science Visualization jobs in Garland, TX, the most frequently searched job titles are:

What job categories do people searching Science Visualization jobs in Garland, TX look for?

The top searched job categories for Science Visualization jobs in Garland, TX are:

What cities near Garland, TX are hiring for Science Visualization jobs?

Cities near Garland, TX with the most Science Visualization job openings:

Data Scientist - Information Technology

ServiceLink IP Holding Company, LLC

Plano, TX • On-site

$100 - $165/hr

Other

Posted 20 days ago


ServiceLink rating

7.4

Company rating: 7.4 out of 10

Based on 16 frontline employees who took The Breakroom Quiz


Job description

Overview

At ServiceLink, we believe in pushing the limits of what’s possible through innovation. We’re looking for a highly skilled AI Engineer to design and implement advanced AI solutions that transform the mortgage industry. In this role, you’ll work on fine-tuning Large Language Models (LLMs), applying reinforcement learning techniques, developing multi-agent systems, and leveraging Generative AI for intelligent data retrieval and visualization. Your work will enable natural language-driven insights and empower decision‑making through cutting‑edge AI technologies.

This is a hybrid role, and will be required to work in‑office at our Plano, TX office at least 3 days per week. Candidates must be located within reasonable commuting distance of Plano, TX and be willing to work in‑office on a regular basis.

Applicants must be currently authorized to work in the United States on a full‑time basis and must not require sponsorship for employment visa status now or in the future.

A DAY IN THE LIFE

In this role, you will…

  • Build and deploy AI Agents and Tools.
  • Design and implement reinforcement learning algorithms and multi-agent systems to solve complex business challenges.
  • Develop GenAI‑based solutions for intelligent data retrieval.
  • Collaborate with cross‑functional teams—including Data Engineering, Product, and Infrastructure to ensure secure, scalable, and efficient AI deployments.
  • Stay ahead of emerging trends in AI research and apply best practices to deliver innovative, business‑aligned solutions.
WHO YOU ARE

You possess …

  • A strong technical foundation in Computer Science, Engineering, or a related field, and 2+ years of experience in AI/ML development.
  • Hands‑on expertise in fine‑tuning LLMs, reinforcement learning, multi‑agent systems, and generative AI applications.
  • Proficiency in Python and familiarity with modern AI frameworks and cloud platforms (preferably Microsoft Azure).
  • Experience operationalizing AI models using MLOps best practices.
  • Strong problem‑solving skills and the ability to translate complex technical concepts into actionable insights.
  • A collaborative mindset and excellent communication skills to work effectively in interdisciplinary teams.
Responsibilities
  • Build and deploy AI Agents for workflow automation tasks.
  • Develop and fine‑tune LLMs for domain‑specific applications.
  • Implement reinforcement learning algorithms and multi‑agent architectures for intelligent automation.
  • Create GenAI‑powered solutions for natural language‑driven data retrieval and visualization.
  • Build robust MLOps pipelines for model deployment and monitoring.
  • Collaborate with stakeholders to align AI solutions with business objectives.
  • Continuously research and apply state‑of‑the‑art AI techniques to improve system performance.
  • All other duties as assigned.
Qualifications
  • Bachelor’s degree in computer science, Engineering, or related discipline.
  • Project experience in LLM fine‑tuning, reinforcement learning, multi‑agent systems, and generative AI.
  • Strong programming skills in Python.
  • Excellent communication and collaboration skills.
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