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Climate Modeling Jobs in Maryland (NOW HIRING)

Climate United FUND

Investment Officer

Bethesda, MD · On-site

About Climate United Climate United will use funding from the EPA under the Inflation Reduction Act ... Lead financial modeling and risk assessment activities. * Lead portfolio servicing and day-to-day ...

Climate United FUND

Investment Officer

Bethesda, MD

About Climate United Climate United will use funding from the EPA under the Inflation Reduction Act ... Lead financial modeling and risk assessment activities. * Lead portfolio servicing and day-to-day ...

Tate

BIM Modeler

Columbia, MD · On-site

$60K - $80K/yr

Perform BIM modeling and clash detection to identify and resolve coordination issues * Collaborate with architects, engineers, contractors, and internal teams to ensure model accuracy and ...

HASI

Analyst/Associate, Portfolio Management

Annapolis, MD · On-site

$100K - $147K/yr

The role is well suited for candidates with strong financial modeling and analytical skills, an interest in climate investing, and a collaborative approach to working across functions and teams. At ...

HASI

Analyst/Associate, Portfolio Management

Annapolis, MD · On-site

$100K - $147K/yr

The role is well suited for candidates with strong financial modeling and analytical skills, an interest in climate investing, and a collaborative approach to working across functions and teams. At ...

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Climate Modeling information

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$39

$74

How much do climate modeling jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for climate modeling in Maryland is $39.15, according to ZipRecruiter salary data. Most workers in this role earn between $30.34 and $42.21 per hour, depending on experience, location, and employer.

What is a climate modeling job?

A Climate Modeling job involves using computer simulations to study and predict climate patterns and changes over time. Professionals in this field develop models that analyze factors like atmospheric composition, ocean currents, and greenhouse gas emissions to assess future climate scenarios. These models help scientists, policymakers, and organizations make informed decisions about climate change mitigation and adaptation strategies. Climate modelers often work in research institutions, government agencies, or environmental organizations, requiring expertise in atmospheric science, mathematics, and programming.

What are the key skills and qualifications needed to thrive in climate modeling?

To thrive in Climate Modeling, you generally need a strong background in atmospheric or environmental science, mathematics, and computer programming, often supported by an advanced degree in a related field. Familiarity with programming languages such as Python, R, or Fortran, as well as experience using climate modeling software like WRF or CESM, is highly valuable. Strong analytical thinking, problem-solving, and effective collaboration and communication skills set candidates apart. These skills are critical because the role involves translating complex scientific data into actionable insights for research, policy, and industry decision-making.

What are the typical collaboration opportunities or interdisciplinary interactions for a climate modeling professional?

Professionals in Climate Modeling frequently collaborate with other scientists, engineers, and policy analysts to assess environmental impact, develop models, and interpret data. Teamwork is common, often involving regular meetings with meteorologists, data scientists, and stakeholders from government, academia, or private industry. These interdisciplinary interactions enrich the modeling process by integrating various perspectives and expertise, helping ensure accurate and practical climate solutions. Such collaboration is essential for translating technical findings into applications that inform climate strategies and decision-making.

What are the most commonly searched types of Climate Modeling jobs in Maryland?

The most popular types of Climate Modeling jobs in Maryland are:

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

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

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

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

What cities in Maryland are hiring for Climate Modeling jobs?

Cities in Maryland with the most Climate Modeling job openings:

Climate Modeling jobs near you
Infographic showing various Climate Modeling job openings in Maryland as of August 2026, with employment types broken down into 87% Full Time, 11% Part Time, and 2% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $81,424 per year, or $39.1 per hour.

Data Scientist - AI/ML

Science Systems & Applications

Lanham, MD • On-site

$87K - $105K/yr

Full-time

Re-posted 10 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