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Geospatial Analyst Climate Jobs in Maryland (NOW HIRING)

Umd

Post-Doctoral Associate

College Park, MD

$50K - $60K/yr

They should have experience with coastal dynamics and climate change. The candidate should be ... geospatial data analysis Contribute to web tool development Organize and analyze data in order to ...

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Geospatial Analyst Climate information

What does a geospatial analyst climate do?

A Geospatial Analyst Climate uses geographic information systems (GIS) and remote sensing tools to collect, analyze, and visualize data related to climate and environmental change. They interpret satellite imagery, climate models, and spatial datasets to identify trends, patterns, and impacts of climate phenomena such as temperature shifts, precipitation changes, and natural disasters. Their work supports climate research, policy making, and environmental management by providing actionable insights about the earth’s climate system.

What are the key skills and qualifications needed to thrive as a geospatial analyst climate?

To thrive as a Geospatial Analyst Climate, you need expertise in GIS, remote sensing, spatial data analysis, and a background in environmental science or geography. Proficiency with tools like ArcGIS, QGIS, Python, and climate data modeling platforms, along with certifications in GIS or related fields, is highly valued. Strong analytical thinking, attention to detail, and effective communication skills help you interpret complex data and convey findings to diverse stakeholders. These competencies are vital for accurately assessing climate impacts, informing decision-making, and supporting effective environmental solutions.

How does a geospatial analyst climate typically collaborate with interdisciplinary teams?

Geospatial Analysts focused on climate often work closely with environmental scientists, data engineers, and policy experts to interpret and visualize spatial climate data. Collaboration usually involves regular meetings to align on project goals, sharing datasets, and integrating geospatial findings into broader climate models or policy recommendations. Strong communication skills are essential, as you'll need to explain technical geospatial concepts to non-specialists and contribute to multidisciplinary projects. This collaborative environment not only broadens your skill set but also offers opportunities for professional growth within environmental and research-driven organizations.

What is the difference between Geospatial Analyst Climate vs Geospatial Analyst?

AspectGeospatial Analyst ClimateGeospatial Analyst
Required CredentialsBachelor's in Geography, GIS, Environmental Science; GIS certificationsBachelor's in Geography, GIS, Environmental Science; GIS certifications
Work EnvironmentEnvironmental agencies, climate research organizations, governmentVarious industries including urban planning, transportation, government
Employer & Industry UsageFocused on climate data analysis and environmental impactBroader GIS applications across multiple sectors
Search & Comparison IntentUnderstanding climate-specific GIS rolesGeneral GIS roles and career options

While both roles require similar educational backgrounds and certifications, Geospatial Analyst Climate specializes in climate data and environmental impact analysis, often within environmental agencies or research organizations. In contrast, Geospatial Analyst has a broader scope, applying GIS skills across various industries such as urban planning, transportation, and utilities.

What are popular job titles related to Geospatial Analyst Climate jobs in Maryland?

For Geospatial Analyst Climate jobs in Maryland, the most frequently searched job titles are:

What job categories do people searching Geospatial Analyst Climate jobs in Maryland look for?

The top searched job categories for Geospatial Analyst Climate jobs in Maryland are:

Geospatial Analyst Climate jobs near you

Data Scientist - AI/ML

Science Systems and Applications, Inc

Lanham, MD • On-site

Other

Posted 2 days ago

New

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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