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Nasa Data Visualization Jobs in Baltimore, MD (NOW HIRING)

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Nasa Data Visualization information

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$53.7K

$108.8K

$160.5K

How much do nasa data visualization jobs pay per year?

As of Aug 20, 2026, the average yearly pay for nasa data visualization in Baltimore, MD is $108,754.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,400.00 and $122,200.00 per year, depending on experience, location, and employer.

What is a NASA Data Visualization specialist?

A NASA Data Visualization specialist is a professional who transforms complex scientific and engineering data from NASA missions into visual formats such as charts, graphs, animations, or interactive tools. Their work helps scientists, engineers, and the public understand large and intricate datasets from space missions, research, and experiments. They use specialized software and design principles to make data more accessible, insightful, and engaging. These specialists often collaborate with researchers to ensure accuracy and clarity in representing scientific findings.

What are the key skills and qualifications needed to thrive as a NASA Data Visualization specialist?

To thrive as a NASA Data Visualization Specialist, you need strong analytical skills, a background in data science or a related field, and experience with visual storytelling. Proficiency with tools like Python, MATLAB, Tableau, and GIS software, as well as familiarity with NASA data formats, is typically required. Creativity, attention to detail, and effective communication are crucial soft skills for translating complex datasets into impactful visual insights. These capabilities are essential to accurately convey scientific findings and support mission-critical decision-making at NASA.

What are the main challenges someone in a NASA Data Visualization role might face when presenting complex data to diverse audiences?

One of the primary challenges in a NASA Data Visualization role is translating complex scientific data into visuals that are understandable for both technical and non-technical audiences. You'll often work with multidisciplinary teams, including scientists, engineers, and public outreach professionals, each with different levels of data literacy. Balancing accuracy with clarity, ensuring accessibility, and adapting visualizations for various formats (such as reports, presentations, or interactive dashboards) are key aspects of the job. Regular collaboration and feedback from stakeholders are essential to refine visual outputs and ensure that critical insights are communicated effectively.

What is the difference between Nasa Data Visualization vs Data Analyst?

AspectNasa Data VisualizationData Analyst
Required CredentialsBackground in science, engineering, or data visualization; often requires advanced degreesBachelor's or higher in statistics, mathematics, or related fields
Work EnvironmentResearch labs, space agencies, government projectsBusiness, finance, healthcare, or tech industries
Employer & Industry UsagePrimarily government agencies like NASA, research institutionsPrivate companies, consulting firms, corporations
Common Search & Comparison IntentUnderstanding specialized visualization roles in space/scienceAnalyzing data for business insights

While both roles involve working with data visualization, Nasa Data Visualization focuses on creating visual representations of scientific and space data within government and research settings. Data Analysts, on the other hand, interpret and analyze data to inform business decisions across various industries. The skills overlap in data visualization tools, but their applications and environments differ significantly.

Does data visualization pay well?

Data visualization specialists, including roles at organizations like NASA, typically earn competitive salaries that vary based on experience, education, and location. Entry-level positions may start lower, but experienced professionals with skills in tools like Tableau, Power BI, or D3.js can command higher wages, especially in industries valuing data-driven decision-making.

What are popular job titles related to Nasa Data Visualization jobs in Baltimore, MD?

For Nasa Data Visualization jobs in Baltimore, MD, the most frequently searched job titles are:

What job categories do people searching Nasa Data Visualization jobs in Baltimore, MD look for?

The top searched job categories for Nasa Data Visualization jobs in Baltimore, MD are:

What cities near Baltimore, MD are hiring for Nasa Data Visualization jobs?

Cities near Baltimore, MD with the most Nasa Data Visualization job openings:

Nasa Data Visualization jobs near you
Infographic showing various Nasa Data Visualization job openings in Baltimore, MD as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $108,754 per year, or $52.3 per hour.

Data Scientist - AI/ML

Science Systems and Applications, Inc

Lanham, MD • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

Science Systems and Applications, Inc. (SSAI) is seeking a highly motivated Data Scientist to support NASA Earth science data systems, geospatial analytics, scientific software development, and AI/ML initiatives. The role includes researching, evaluating, and applying emerging technologies such as artificial intelligence, quantum computing methodologies, and advanced analytics to advance Earth science research, geospatial data processing, and scientific discovery.
Responsibilities
  • Design, develop, and deploy machine learning and artificial intelligence models to support predictive analytics, environmental monitoring, geospatial intelligence, and Earth science research applications.
  • Develop geospatial analytics, visualization tools, and web-based applications for large environmental and remote sensing datasets.
  • Create and support RESTful APIs, web services, and cloud-based data access systems utilizing AWS and Azure cloud platforms for scalable storage, processing, and dissemination of Earth science data.
  • Develop workflows for processing, quality control, analysis, and dissemination of satellite-derived geospatial products.
  • Collaborate with scientists to translate research requirements into operational software solutions.
  • Support Earth science data archives, user services, and community engagement activities.
  • Perform spatial and temporal analysis of environmental datasets using GIS, remote sensing, and statistical methods.
  • Develop and automate data processing pipelines using Python and scientific computing frameworks, leveraging cloud services to support large-scale geospatial and remote sensing workflows.
  • Support, maintain, and integrate legacy scientific applications developed in Fortran with modern Python-based analytics, data processing, and visualization workflows.
  • Integrate diverse datasets from satellite observations, field measurements, and numerical models.
  • Prepare technical documentation, scientific reports, conference presentations, and peer-reviewed publications.
  • Collaborate with scientists, software engineers, and technology partners to identify opportunities for integrating quantum computing concepts into AI/ML workflows, high-performance computing environments, and next-generation Earth science applications.

Required Qualifications
  • Master's Degree (M.S.) and a minimum of 5 years related experience and/or training, or equivalent combination of education and experience.
  • Experience applying AI/ML techniques to Earth science, climate, environmental, geospatial, remote sensing, or other large scientific datasets.
  • Strong programming skills in Python and experience with scientific computing workflows, including Fortran and high-performance computing environments.
  • Experience developing and deploying AI/ML solutions using cloud platforms such as AWS and Azure.
  • Experience with GIS and geospatial data processing tools.
  • Experience working with large environmental, remote sensing, or geospatial datasets.
  • Knowledge of spatial databases, web services, application development frameworks, and emerging technologies such as quantum computing.
  • Experience developing and supporting data visualization and analytics tools.
  • Strong written and verbal communication skills.
  • Ability to work effectively in multidisciplinary scientific teams.

Desired Qualifications
  • Experience supporting NASA, NOAA, USGS, or other federal Earth science programs.
  • Experience with satellite data products such as MODIS, Landsat, VIIRS, or similar Earth observation datasets.
  • Experience developing geospatial web applications and cloud-enabled data services.
  • Knowledge of GDAL, ArcGIS, GRASS GIS, or similar geospatial software packages.
  • Experience with JavaScript, Node.js, SQL, Linux, and scientific computing environments.
  • Experience with hydrologic, environmental, ecological, or climate modeling.
  • Demonstrated record of peer-reviewed scientific publications.
  • Experience interacting directly with scientific user communities and stakeholders.

EEO/AA Veterans and Individuals with Disabilities
Physical Requirements: While performing the duties of this job, the employee is regularly required to stand, walk, and use hands to touch, handle or feel objects, tools or controls. The employee frequently is required to talk and hear and occasionally required to reach with hands and arms and stoop, kneel, crouch, or crawl. Must regularly lift and/or move up to 10 pounds, and occasionally lift and/or move up to 25 pounds. Specific vision abilities required by this job include close vision, peripheral vision, depth perception and the ability to adjust focus

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