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Pae

Earth Science Software Engineer (ES4)

Huntsville, AL · On-site +1

Putting Science Code into Production (Research-to-Operations) * Software Implementation: Support ... Degree in Earth Science, Atmospheric Science, Meteorology, Computer Science, Software Engineering ...

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Earth Science Research information

What is earth science research?

Earth Science Research involves the study of the physical constitution of the Earth and its atmosphere, as well as the processes that shape them. Researchers in this field investigate topics such as geology, meteorology, oceanography, and environmental science to better understand natural phenomena like earthquakes, climate change, and resource distribution. The aim is to gather and analyze data to advance scientific knowledge, support sustainable management of natural resources, and inform public policy. Earth science researchers often work in labs, the field, or academic settings, collaborating with government agencies or private organizations.

How do earth science researchers typically collaborate with professionals from other disciplines during projects?

Earth Science Researchers often work closely with experts from fields such as engineering, computer science, and environmental policy to address complex research questions. Collaboration may involve sharing datasets, co-developing models, or contributing to multidisciplinary grant proposals. These interactions are essential for integrating different perspectives and methodologies, ultimately leading to more robust findings. Effective communication and teamwork are key, as researchers frequently participate in cross-functional meetings, workshops, and fieldwork alongside collaborators.

What are the key skills and qualifications needed to thrive as an earth science researcher, and why are they important?

To thrive as an Earth Science Researcher, you need a strong background in geology, environmental science, or related fields, typically supported by an advanced degree such as a Master's or PhD. Proficiency in data analysis tools (like GIS, MATLAB, or Python), laboratory techniques, and field research equipment is essential. Critical thinking, attention to detail, and effective communication help researchers analyze complex data and share findings with scientific and public audiences. These skills and qualities are vital for advancing scientific understanding and addressing environmental challenges.
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What are the most commonly searched types of Earth Science Research jobs?

The most popular types of Earth Science Research jobs are:

What states have the most Earth Science Research jobs?

States with the most job openings for Earth Science Research jobs include:

What job categories do people searching Earth Science Research jobs look for?

The top searched job categories for Earth Science Research jobs are:

Earth Science Research jobs near you
Infographic showing various Earth Science Research job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

Data Scientist - AI/ML

Science Systems & Applications

Lanham, MD • On-site

$87K - $105K/yr

Full-time

Re-posted 14 days ago

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