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Scientific Visualization Jobs in California (NOW HIRING)

Data Visualization Engineer

Monterey, CA · On-site

$126K - $152K/yr

Booz Allen Hamilton is a leading consulting firm that leverages data science to address global challenges. As a Data Visualization Engineer, you will utilize your expertise in data analysis and ...

They are seeking a Mid Data Scientist to analyze complex data sets, develop algorithms, and provide ... visualization, or data mining • 2+ years of experience with statistical and general-purpose ...

... visualization techniques. Responsibilities: * Develop and implement techniques or analytics ... Associate's degree in math, science, engineering, or a related field. * Minimum of 1 year of ...

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Scientific Visualization information

See California salary details

$25.7K

$61.2K

$99.2K

How much do scientific visualization jobs pay per year?

As of Aug 9, 2026, the average yearly pay for scientific visualization in California is $61,244.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,900.00 and $71,600.00 per year, depending on experience, location, and employer.

What is a scientific visualization specialist?

A scientific visualization specialist is a professional who creates visual representations of complex scientific data to help researchers analyze and communicate findings. They often use tools like 3D modeling software, programming languages, and visualization techniques to produce accurate and informative graphics for research, education, or presentations.

What does a scientific visualization professional do?

Scientific Visualization professionals often work on projects that involve transforming large or complex datasets—such as those from simulations, experiments, or sensors—into interactive graphics, animations, or 3D models that reveal underlying patterns and trends. Day-to-day tasks may include collaborating closely with scientists and engineers to understand their data needs, developing custom visualization scripts, preparing publication-quality images, or building user-friendly visual interfaces for data exploration. Team structures can vary, but it's common to work in multidisciplinary groups where clear communication and iterative development are key. This hands-on, collaborative approach helps ensure that the resulting visuals are both scientifically accurate and accessible to the intended audience.

What skills and qualifications are needed for scientific visualization?

Excelling in Scientific Visualization requires a solid background in data analysis, computer graphics, and a relevant scientific discipline, often backed by a degree in fields like computer science, physics, or engineering. Familiarity with visualization software (e.g., ParaView, VTK, MATLAB), programming languages (such as Python or C++), and experience with 3D modeling tools are commonly expected. Strong problem-solving skills, attention to detail, and the ability to communicate complex information clearly are invaluable. These combined abilities are crucial for transforming intricate scientific data into visual formats that are both accurate and easily interpretable for various audiences.

Is data visualization a good career?

Data visualization is a viable career within fields like scientific visualization, requiring skills in data analysis, graphic design, and tools such as Tableau or D3.js. It offers opportunities in industries like research, healthcare, and technology, often involving collaboration with data scientists and engineers. The profession typically requires a strong understanding of data and visualization principles, with job prospects growing as data-driven decision-making increases.

What is a scientific visualization?

A Scientific Visualization job involves creating graphical representations of complex scientific data to help researchers, scientists, and the public understand patterns, relationships, and trends. Professionals in this field use tools like computer graphics, data analysis software, and programming languages to translate numerical or experimental data into visual formats such as 3D models, animations, or interactive simulations. These visualizations are widely used in fields such as medicine, engineering, climatology, and astrophysics to communicate findings effectively. The role requires a combination of technical skills, domain knowledge, and creativity to present data in an accessible and meaningful way.

Infographic showing various Scientific Visualization job openings in California as of August 2026, with employment types broken down into 1% Internship, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution, with an average salary of $61,244 per year, or $29.4 per hour.

Data Visualization Developer - Fulltime/Permanent

Radiant Info Systems Ltd

San Ramon, CA

Full-time

Re-posted yesterday


Job description

Job Description

Our client is looking for an outstanding Data Visualization Developer for their first-of-its-kind Sales Analytics platform, which combines a proprietary, self-learning network with applications that are ready to use, data backed, and built on predictive analyses. 

In this role, you will design and build innovative, world-class data visualizations for extremely complex data sets, enabling business leaders to make intelligent decisions quickly and accurately. 

Our ideal candidate will have a strong command of D3.js, AngularJS, Nodes.js, HTML5, and CSS3. You must be a team player who will thrive in a fast-paced, collaborative startup, and you must take great pride in your work.

Qualifications

Requirements:

Bachelors/Masters in Computer Science with relevant industry experience

5+ years of hands-on application development experience-MUST HAVE!

Experience working with SPA (single page applications)

Experience building data-driven web applications and familiar with development frameworks (AngularJS)

Strong understanding of UX/UI concepts and interface usability, and a demonstrated record of good design flow in interactive applications

Experience with visualization design on mobile platforms is an advantage

Strong command of web front-end development (Javascript(OOP), HTML5, and CSS3)

Strong experience with data visualization libraries (D3.js), WebGL, and developing interactive graphics from conception to deployment

Knowledge of data processing, data analysis, data modeling, and data mining is a plus

Understanding of NoSQL databases and Hadoop

A combination of creativity and analytical ability

Experience handling complex data visualization for Big Data sets is highly desired

Programming ability in Java is an advantage

Additional Information

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