1

Science Visualization Jobs in Houston, TX (NOW HIRING)

... visualization Will the candidate be client facing and/or working with business users? Yes What is the team size, make up, culture, soft skills, and dress code, Hours? The data scientist role will ...

Gen AI/ML Solution Architect

Houston, TX · On-site

$60.25 - $79.25/hr

Proven track record in the full data science project lifecycle, including data wrangling, statistical analysis, and data visualization. * Proficiency in Python and R, with expertise in AI/ML ...

Bachelor's Degree in science, engineering, computer science, mathematics, statistics, or related ... data mining/visualization and pattern analysis tools. * Develops and tests hypotheses and ...

... science. Python ecosystem preferred, R will be acceptable, machine learning libraries & frameworks (e.g. TensorFlow, PyTorch, scikit-learn) and familiar with data processing and visualization tools ...

Basic: * Bachelor's or Master's degree in Computer Science, Engineering, Statistics, Operations ... Experience with data visualization and dashboard tools (e.g., Tableau, Power BI, SSRS, D3)

next page

Showing results 1-20

People also search for

Science Visualization information

See Houston, TX salary details

$23.4K

$46.2K

$75.4K

How much do science visualization jobs pay per year?

As of Jun 10, 2026, the average yearly pay for science visualization in Houston, TX is $46,212.00, according to ZipRecruiter salary data. Most workers in this role earn between $36,800.00 and $49,700.00 per year, depending on experience, location, and employer.

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 are popular job titles related to Science Visualization jobs in Houston, TX? For Science Visualization jobs in Houston, TX, the most frequently searched job titles are:
What job categories do people searching Science Visualization jobs in Houston, TX look for? The top searched job categories for Science Visualization jobs in Houston, TX are:
What cities near Houston, TX are hiring for Science Visualization jobs? Cities near Houston, TX with the most Science Visualization job openings:
Big Data Analytics Process

Big Data Analytics Process

TestingXperts

Houston, TX

Full-time

Posted yesterday


Job description

Company Description

Greetings for the day!
My name is Suneetha from Testing Xperts, we are a global staffing, consulting and technology solutions company, offering industry-specific solutions to our fortune 500 clients and worldwide corporations.

Thanks & Regards,

Suneetha. G

+1 631-759-8044 EXT 303 (O)

+1 347-826-3427 (F)

Job Description

Role: Big Data Analytics Process

Location: Houston, TX

Job Description:

Must Have Skills (Top 2 technical skills only)
Minimum 8 years of relevant experience in applying data mining, artificial intelligence, signal processing, machine learning, optimization etc. in business analytics or scientific/engineering settings

Experience with statistical software, scripting languages, tools, and platforms (e.g., R, Python, Hadoop etc.)

Nice to have skills (Top 2 only)
A demonstrated ability to solve challenging business problems using a data science approach by developing novel and/or adapting existing computational methods

Strong skills in communicating and presenting data-derived insights to non-technical audiences appropriately.

Desired years of experience : 8+ Years

Education/ Certifications (Required) : Masters or Ph.D. in Mathematics, Statistics, Computer Science, Operations Research, Engineering Science.

Top 3 responsibilities you would expect the subcon to shoulder and execute:
1. Collaborate with business users to identify, elaborate and prioritize Analytics Uses cases.
2. Processing, cleansing, and verifying the integrity of data used for analysis
3. Apply analytical rigor and statistical methods to analyze large amounts of data, using advanced analytics techniques. And, presenting data insights using high impact visualization

Will the candidate be client facing and/or working with business users? Yes

What is the team size, make up, culture, soft skills, and dress code, Hours?
The data scientist role will support Information Technology (IT) team to engage with business stakeholders on their advanced analytics requirements.

Qualifications

Graduates

Additional Information

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