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Scientific Data Visualization Specialist Jobs (NOW HIRING)

Data Analytics and Visualization Specialist Apply now Job no: 492311 Work type: Regular Full-Time ... science, information management, or related discipline and will have a minimum of seven (7) years ...

We are looking for an extremely bright, Data Visualization Specialist that loves the idea of building something new! We are on the cutting edge, utilizing the Amazon Web Services platform along with ...

We are looking for an extremely bright, Data Visualization Specialist that loves the idea of building something new! We are on the cutting edge, utilizing the Amazon Web Services platform along with ...

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Scientific Data Visualization Specialist information

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$28K

$72.9K

$88K

How much do scientific data visualization specialist jobs pay per year?

As of Sep 15, 2026, the average yearly pay for scientific data visualization specialist in the United States is $72,947.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,000.00 and $87,000.00 per year, depending on experience, location, and employer.

What does a scientific data visualization specialist do?

A Scientific Data Visualization Specialist is responsible for translating complex scientific data into clear, engaging, and informative visual representations. They work closely with researchers and scientists to design charts, graphs, interactive dashboards, and other visuals that help communicate findings and insights. Their expertise bridges the gap between raw data and effective storytelling, making scientific results more accessible and understandable for both experts and general audiences.

What are the key skills and qualifications needed to thrive as a scientific data visualization specialist?

To thrive as a Scientific Data Visualization Specialist, you need strong analytical skills, a background in science or data analysis, and experience with visual design principles, often supported by a relevant degree. Proficiency in visualization tools like Tableau, Python libraries (e.g., Matplotlib, Seaborn), R, and familiarity with data management systems are typically required. Creative problem-solving, attention to detail, and effective communication are crucial soft skills for translating complex data into accessible visual narratives. These skills are essential for transforming raw data into clear, actionable insights that drive research and decision-making.

What are some common challenges faced by scientific data visualization specialists when translating complex datasets into clear visual representations?

Scientific Data Visualization Specialists often encounter challenges such as handling large, multidimensional datasets and ensuring that visualizations accurately convey the underlying scientific information without oversimplifying. Balancing scientific rigor with visual clarity requires close collaboration with researchers and subject matter experts. Additionally, adapting visualizations for different audiences—such as scientists, stakeholders, or the general public—often necessitates customizing the level of detail and interactivity in the visuals.

What is the difference between Scientific Data Visualization Specialist vs Data Analyst?

AspectScientific Data Visualization SpecialistData Analyst
Required CredentialsBachelor's or master's in data science, visualization, or related fieldsBachelor's or higher in statistics, data science, or related fields
Work EnvironmentResearch labs, scientific organizations, academiaBusiness, finance, healthcare, or corporate settings
Industry UsageScientific research, academia, government agenciesBusiness intelligence, marketing, operations
Common Search IntentVisualization techniques for scientific dataData analysis and reporting

The Scientific Data Visualization Specialist focuses on creating visual representations of scientific data to aid research and understanding, often working in academic or research environments. In contrast, Data Analysts interpret data to inform business decisions across various industries. While both roles require strong analytical skills and familiarity with data visualization tools, their primary focus and work settings differ significantly.

What are popular job titles related to Scientific Data Visualization Specialist jobs?

For Scientific Data Visualization Specialist jobs, the most frequently searched job titles are:

Infographic showing various Scientific Data Visualization Specialist job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 12% Part Time, and 2% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $72,947 per year, or $35.1 per hour.

Expert Data Visualization & Analytics Specialist / Expert Data Visualization Specialist

Saint Louis, MO • On-site

Full-time

Posted 17 days ago


Job description


Expert Data Visualization & Analytics Specialist / Expert Data Visualization Specialist

St. Louis, MO / TS/SCI | Full-Time

ABOUT THE ROLE

TRIAEM is seeking an accomplished data visualization and analytics professional for a future opportunity supporting a complex federal environment. You will transform complex raw datasets into intuitive, actionable, and visually compelling analytical products.

This role serves as a critical bridge between technical data and strategic decision-making, combining data preparation, analytics, dashboard development, visual storytelling, and stakeholder collaboration.

WHAT YOU’LL DO

  • Collect, clean, structure, and integrate disparate datasets.
  • Ensure the accuracy, quality, and integrity of data used in analytical products.
  • Strategize, design, and develop interactive dashboards and analytical reports.
  • Develop sophisticated visualization products using Tableau, Power BI, and related technologies.
  • Create compelling visual narratives using charts, graphs, infographics, and other visualization techniques.
  • Translate complex data into clear findings accessible to technical and non-technical audiences.
  • Work directly with leadership, stakeholders, and technical teams to identify business needs.
  • Gather requirements and define meaningful KPIs.
  • Analyze statistical information to identify significant trends, patterns, and correlations.
  • Translate analytical findings into actionable business insights and recommendations.

WHAT YOU’LL BRING

  • Bachelor’s degree in Data Science, Computer Science, Information Systems, Statistics, or a related quantitative field.
  • Demonstrated experience creating insightful and visually compelling dashboards and analytical reports that effectively communicate complex data to various audiences.
  • Demonstrated expert proficiency with one or more leading business intelligence and visualization tools, such as Tableau or Power BI.
  • Demonstrated proficiency in SQL for querying, joining, and structuring complex datasets.
  • Experience with data preparation, including cleaning and transforming raw data for analysis.
  • Demonstrated ability to analyze datasets to identify significant trends, patterns, and correlations and translate findings into actionable business insights.
  • Demonstrated communication skills with experience working directly with stakeholders and leadership to gather requirements, define KPIs, and present data-driven recommendations.
  • Active TS/SCI clearance.

DESIRED QUALIFICATIONS

  • Master’s degree from an accredited university.
  • Demonstrated specialized experience with NGA and/or other Intelligence Community agency missions and communications policies.
  • Demonstrated knowledge of Artificial Intelligence principles and utilization for Data Visualization and Analytics.
  • Demonstrated knowledge of PEO-GG systems.

This is a future opportunity and is contingent upon contract award and final customer requirements.