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Science Visualization Jobs in Spokane, WA (NOW HIRING)

Reli Group Inc

Power BI Intern

Spokane, WA

$15/hr

... data visualization, business analysis, and real-world data problem solving. Responsibilities ... Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics ...

Kaiser Aluminum

Metallurgical Engineer

Spokane, WA · On-site

$85K - $150K/yr

We are looking for a Metallurgical Data Scientist to join the Kaiser Aluminum onsite team in ... Experience in large dataset collection, integration, and visualization by using Excel, SQL, Mintab ...

ROI Agency

Senior Energy Portfolio Analyst

Spokane, WA · Remote

Experience using data visualization platforms such as Power BI, Tableau, or equivalent. Additional ... Science (or equivalent practical experience). * At least two years of experience in analytical ...

Jeld-Wen Inc.

Sr R&D Engineer

Spokane, WA · On-site

$89K - $148K/yr

Knowledge and application of basic problem-solving skills and engineering skills (math, science ... Must be innovative and creative with high 3D mechanical spatial visualization skills. * Ability to ...

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Science Visualization information

See Spokane, WA salary details

$24.8K

$48.9K

$79.9K

How much do science visualization jobs pay per year?

As of Jun 7, 2026, the average yearly pay for science visualization in Spokane, WA is $48,929.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,900.00 and $52,600.00 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 Spokane, WA? For Science Visualization jobs in Spokane, WA, the most frequently searched job titles are:
What job categories do people searching Science Visualization jobs in Spokane, WA look for? The top searched job categories for Science Visualization jobs in Spokane, WA are:
What cities near Spokane, WA are hiring for Science Visualization jobs? Cities near Spokane, WA with the most Science Visualization job openings:
Science Visualization jobs near you

Automation Research & Development Engineer

Kaiser Aluminium

Spokane, WA • On-site

$85K - $125K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago

Job description

Kaiser Aluminum is known around the world for its superior quality. Our secret is what we put into it-innovative thinking, industry-leading reliability, and a world-class commitment to customer service. In short, the same qualities we look for in our people. We are looking for anAutomation & Development Engineer to join Kaiser Aluminum onsite in Spokane Washington!

We are seeking an engineer or scientist who solves real-world manufacturing problems by writing code, with a deep interest and knowledge about manufacturing process optimization and data analytics. The ideal candidate will have expertise in using modern technologies and data-driven methodologies to enhance manufacturing processes.

MustbeaU.S.person(identifiedasU.S.Citizen,U.S.PermanentResident(GreenCard),anyindividualwhoisgrantedstatusasa"protectedperson"under8U.S.C.1324b(a)(3).

Benefits

  • Salary range $85,000 to $125,000 commensurate with experience.
  • High deductible medical, dental, vision, and basic life insurance, including spouse and children (modest payroll deductions).
  • 10 paid holidays per year.
  • Vacation (3 weeks starting out).
  • Supplemental leave (used in conjunction with Washington Paid Family & Medical Leave).
  • 401K with matching company funds.
  • Quarterly bonus structure.
  • Tuition reimbursement.
  • A collaborative, team-oriented culture that values initiative and continuous improvement.
  • Opportunities to work on a wide range of projects, from low-level equipment/process control to high-level, plant-wide digital integration systems.
  • Hands-on work with Industry 4.0 tools such as IoT sensors, data analytics, machine learning, digital twins, and smart factory systems.
  • Dedicated time and resources to explore, test, and implement new solutions and technologies.
  • Training in Lean Manufacturing, Six Sigma, advanced manufacturing software/hardware, metrology, and more.
  • Mentorship, cross-functional team experiences, and exposure to leadership - technical or Management - for those looking to advance.

Ideal Candidate:

  • Proficient in process control, data analytics, and optimization using modern tools.
  • Experienced in design of equipment and processes to solve manufacturing challenges.
  • Has strong knowledge of advanced technologies, such as machine learning and simulation tools

What you will work on:

  • Leverage data analytics, process control, and cutting-edge technologies to improve and optimize manufacturing processes.
  • Develop and deploy software and systems supporting Industry 4.0 initiatives, including:
    • Data warehousing for advanced analytics.
    • Vertical & horizontal integration of manufacturing information and control systems.
    • Simulation and Digital Twins to model and optimize processes.
    • Advanced measurement systems for capturing and analyzing critical process variables.
    • Implement advanced technologies, such as:
      • Computer Vision
      • Machine Learning
      • Internet of Things (IoT)
  • Support new process and product R&D by developing control systems, data collection, visualization, and analysis tools.
  • Build and deploy software solutions to improve process visualization and control, with metrics such as Overall Equipment Effectiveness (OEE), Statistical Process Control (SPC), and Quality Compliance.
  • Drive continuous process and production improvements through control system enhancements.
  • Develop a strong technical understanding of aluminum casting, rolling, heat treatment, and related operations.
  • Provide expert technical support to teams in Metallurgy, Quality Control, Engineering, Maintenance, and Production.
  • Create and maintain web applications for internal use, improving process transparency and access to critical data.

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