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Science Visualization Jobs in Seattle, WA (NOW HIRING)

... visualization applications, custom tools, and platforms, and integrating them with existing data ... The tools you build will be in the daily workflow of our engineers and data scientists who are ...

Principal Hydrogeologist

Seattle, WA · On-site

$78K - $99K/yr

... science, Visualization of CSM components and flow/transport modeling results, Preparation of technical reports and presentations, Design, oversight, and analysis of subsurface characterization and ...

Principal Hydrogeologist

Seattle, WA

$78K - $99K/yr

... science, Visualization of CSM components and flow/transport modeling results, Preparation of technical reports and presentations, Design, oversight, and analysis of subsurface characterization and ...

AI and Data Science Engineer III

Seattle, WA · On-site

$130K - $156K/yr

AI Data Science Engineer III Our Deloitte Human Capital team transforms technology platforms ... visualization platforms). * Translate ambiguous business problems into structured analytical ...

... Data Science * Strong Python (Pandas, NumPy, Scikit-learn) * Good SQL skills * Experience in Machine Learning & Statistical Modeling * Experience with Cloud (Azure/AWS/GCP) * Data visualization ...

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Science Visualization information

See Seattle, WA salary details

$27.9K

$55.1K

$89.9K

How much do science visualization jobs pay per year?

As of Jun 18, 2026, the average yearly pay for science visualization in Seattle, WA is $55,070.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,800.00 and $59,200.00 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 job categories do people searching Science Visualization jobs in Seattle, WA look for? The top searched job categories for Science Visualization jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Science Visualization jobs? Cities near Seattle, WA with the most Science Visualization job openings:
Sr. Data Visualization Engineer

Sr. Data Visualization Engineer

Apple

Seattle, WA

$139K - $258K/yr

Full-time

Medical, Dental, Retirement

Posted 10 days ago


Apple rating

8.1

Company rating: 8.1 out of 10

Based on 661 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers


Job description

Help the experimentation platform team in Apple Services Engineering implement intuitive dashboards that make complex evaluation flows and metrics easily consumable by ML Engineers, Product, and Leadership. This is a great opportunity for someone passionate about adding value to large data sets and empowering stakeholders to make decisions. This role will focus on the software engineering aspects, such as building robust, scalable data visualization applications, custom tools, and platforms, and integrating them with existing data pipelines and cloud platforms. The tools you build will be in the daily workflow of our engineers and data scientists who are improving features and experiences for Apple customers. You will be on the team responsible for building tools that coordinate hill climbing on ML models and features and creating intuitive interfaces that display metrics and analysis of how those models and features perform as well as highlight key ways those features can improve.
Description
This role focuses specifically on designing and developing the visual representations of data, such as interactive dashboards, charts, graphs, and infographics. They bridge the gap between raw data and informed decision-making, using both design principles and technical skills (e.g., JavaScript charting libraries, D3.js).","responsibilities":"Creating visual representations: Designing charts, graphs, maps, and interactive dashboards to make complex data understandable.
Programming and tool usage: Utilizing programming languages (Python, R, JavaScript, SQL) and software (Tableau, Power BI, D3.js) to extract, clean, and transform data for visualization.
Interface Design: Ensuring user-friendly interfaces with good user experience (UX) and accessibility.
Collaboration: Working closely with data analysts, data scientists, and business stakeholders to understand requirements and ensure the visualizations accurately represent the insights derived from the data.
Storytelling: Using visuals to create a compelling narrative around the data to engage audiences and drive business decisions.
Preferred Qualifications
The ability to work closely with ML Engineers building both features and evaluation services.
Foundational knowledge in statistics and uncertainty quantification to accurately represent data variability, confidence intervals, and probabilistic outcomes in visual formats.
Proven ability to write readable and maintainable code. Excellent debugging, analytical, problem solving, and interpersonal skills.
Proficiency with languages such as Python, R, Ruby, and SQL to query data sets.
ML Engineering exposure is a plus.
Minimum Qualifications
A proven track record of communicating effectively via compelling visuals that create a clear narrative for the intended audience and ensure user friendly interfaces.
Proficiency in designing and developing visual representations of key metrics that may require charts, graphs, and interactive dashboards.
Ability to collaborate closely with research scientists and data science teams to translate complex analytical findings into clear, actionable visualizations that drive decision-making.
At least 5 years of experience developing intuitive data visualizations.
Bachelors in relevant field or equivalent experience.
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $139,500 and $258,100, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976