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Atmosphere Modeling Jobs in Virginia (NOW HIRING)

Familiarity with sensor calibration, atmospheric modeling, physics-based exploitation, and sensor phenomenology. * Experience with machine learning or artificial intelligence methods applied to ...

Data Modeler

Chantilly, VA · On-site

$56 - $72.75/hr

Strong understanding of data modeling concepts * Ability to design logical and physical data models ... With direct access to company leadership, a laid-back and inclusive atmosphere, and exceptional ...

Familiarity with sensor calibration, atmospheric modeling, physics-based exploitation, and sensor phenomenology. * Experience with machine learning or artificial intelligence methods applied to ...

Familiarity with sensor calibration, atmospheric modeling, physics-based exploitation, and sensor phenomenology. * Experience with machine learning or artificial intelligence methods applied to ...

Data Modeler

Tysons, VA · On-site

$55 - $71.25/hr

Strong understanding of data modeling concepts * Ability to design logical and physical data models ... With direct access to company leadership, a laid-back and inclusive atmosphere, and exceptional ...

Data Modeler

Reston, VA · On-site

$57 - $73.75/hr

Strong understanding of data modeling concepts * Ability to design logical and physical data models ... With direct access to company leadership, a laid-back and inclusive atmosphere, and exceptional ...

Data Modeler

Chantilly, VA · On-site

$56.50 - $73.50/hr

Strong understanding of data modeling concepts * Ability to design logical and physical data models ... With direct access to company leadership, a laid-back and inclusive atmosphere, and exceptional ...

Data Modeler

Reston, VA · On-site

$57 - $74/hr

Strong understanding of data modeling concepts * Ability to design logical and physical data models ... With direct access to company leadership, a laid-back and inclusive atmosphere, and exceptional ...

Showing results 21-40

Atmosphere Modeling information

See Virginia salary details

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How much do atmosphere modeling jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for atmosphere modeling in Virginia is $39.99, according to ZipRecruiter salary data. Most workers in this role earn between $30.96 and $43.12 per hour, depending on experience, location, and employer.

What is an atmosphere modeling job?

An Atmosphere Modeling job involves developing and using computer models to simulate and predict atmospheric conditions, such as weather patterns, climate change, and air quality. Professionals in this field analyze atmospheric data, improve forecasting techniques, and contribute to environmental research and policy-making. They often work in meteorology, climate science, aerospace, or environmental consulting, using mathematical and physical principles to understand atmospheric dynamics.

What are the typical daily responsibilities of an atmosphere modeling professional?

Atmosphere Modeling professionals often spend their days developing, running, and validating computer simulations to predict weather patterns, air quality, or climate trends. Daily tasks may include gathering and preprocessing meteorological data, troubleshooting model outputs, writing code to refine model components, and collaborating with colleagues across meteorology, data science, and environmental policy teams. They also frequently summarize results for reports or presentations and contribute to research papers or grant proposals. This role involves a mix of independent analysis and teamwork, providing a dynamic and intellectually stimulating work environment.

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

To excel in Atmosphere Modeling, you typically need a solid background in atmospheric science, meteorology, physics, or a related field, often supported by advanced degrees. Proficiency in numerical modeling software, programming languages (such as Python, Fortran, or MATLAB), and experience with data assimilation systems or high-performance computing are highly valued. Strong analytical thinking, attention to detail, and collaborative abilities help professionals address complex problems and communicate findings effectively. These skills are vital for generating accurate atmospheric simulations, informing research or policy, and contributing to multidisciplinary teams.

How to become an atmosphere model?

To become an atmosphere model, individuals typically need a bachelor's degree in atmospheric science, meteorology, environmental science, or a related field. Gaining experience with climate and weather modeling software, programming skills in languages like Python or Fortran, and understanding of physical and mathematical principles are essential. Advanced roles may require a master's or Ph.D. and familiarity with data analysis and simulation tools.

What are the most commonly searched types of Atmosphere Modeling jobs in Virginia?

The most popular types of Atmosphere Modeling jobs in Virginia are:

What job categories do people searching Atmosphere Modeling jobs in Virginia look for?

The top searched job categories for Atmosphere Modeling jobs in Virginia are:

What cities in Virginia are hiring for Atmosphere Modeling jobs?

Cities in Virginia with the most Atmosphere Modeling job openings:

Infographic showing various Atmosphere Modeling job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 22% Part Time, and 2% Contract. Highlights an 86% Physical, 1% Hybrid, and 13% Remote job distribution, with an average salary of $83,176 per year, or $40 per hour.

Image Scientist

Springfield, VA • On-site

Full-time

Re-posted yesterday


Job description

Job Summary:
Freedom Technology Solutions Group, LLC is seeking an Image Scientist to serve as a technical specialist for research, evaluation, and verification of complex image and video processing systems for geospatial intelligence. The role involves providing expert consultation, problem solving, and mentoring junior scientists while developing and verifying image processing software products and algorithms.
Responsibilities:
• Serve as a technical specialist for research, evaluation and verification of highly complex image and video processing systems for geospatial intelligence sensors, systems, and applications.
• Provide expert-level consultation, problem solving, and verification for all GEOINT quality assessments, studies, and standards.
• Provide detailed recommendations and risk assessments to Government and technical leadership.
• Design, develop, evaluate, and verify the implementation of complex image processing software products, algorithms, and workflows.
• Mentor and guide junior image scientists in the development of criteria for testing algorithm and system’s cognitive performance objectively from an end-user perspective.
• Perform evaluation and testing on simulated and operational data.
Qualifications:
Required:
• Active TS/SCI with the ability to obtain a Poly
• Master's degree/PhD in Imaging Science, Physics, Engineering, Mathematics or quantitative science field and 10 years of experience as a Image Scientist
• Demonstrated knowledge of digital imaging systems principles and practices
• Experience supporting the development, testing, and analysis of image collection systems
• Experience applying engineering standards, principles, theories, concepts and techniques to solve complex problems associated with image product formation from raw sensor and associated metadata
• Experience or working knowledge with advanced photogrammetric techniques and principles
• Experience performing image system simulations to produce realistic test data to support system validation and testing
• Experience or demonstrated ability to develop, assess, and implement Image Quality Equations
• Experience building image processing algorithms
• Experience programming in Matlab and/or Python, C++, or other equivalent programming languages
• Experience analyzing and assessing quality of image data across the full-range of sensor types, sources, and phenomenology’s
Preferred:
• Graduation from and accredited Image Science program at a university or military training program.
• Basic understanding of simulation and modeling techniques or the image creation process.
• Working knowledge of imagery systems to include basic types of PAN, IR, and RADAR.
• Working knowledge of various basic ELTs, Matlab, and mathematics/equations/functions.
• Basic knowledge of sensor types to include airborne, space-borne, and FMV.
• Knowledge of Microsoft Office tools.
• Basic oral and written communication skills.
• Experience with creation of imagery evaluations, image quality studies, new product/sensor initializations, product algorithm assessments, and the development of image quality equations.
• Working knowledge and practical application of modeling components of the image creation path to include sensor, detector, atmospheric, and material properties.
• Experience with imaging systems to include PAN, IR, MSI/HSI, RADAR, and LIDAR, on both space or airborne platforms.
• Simulation and modeling experience and ability to develop algorithm description documentation for software development.
• Familiarity with current GEOINT systems, products and development, as well as exploitation software packages such as all ELTs, AGITK, and other software plug-ins or applications necessary to develop test and verification methodologies.
• Ability to develop and lead any large-scale evaluations to include, but not limited to, image quality studies, new product/sensor initializations, product algorithm assessments, back to operations reviews, and the development of image quality equations (IQEs).
• Full image processing and digital signal processing experience.
• Image chain analysis to include atmospheric modeling, signal quality and noise, optics, detector calibration, and image processing of pixel data to display radiometrically correct values.
• Application of error estimation for thermometric and material identification products.
• Understanding and application of image quality standards such as NIIRS scales and metrics.
• Significant applied knowledge of sensor imaging systems, products, and exploitation processes.
• Strong understanding of the systems engineering lifecycle to include independent testing and data verification.
• Strong written and oral communication skills to include briefing and creation of presentations.
• Self-starter with ability to learn, research, and solve problems with on their own accord.
• Work is highly independent and you may assume a lead role.
Company:
FTSG was founded with the idea of building a company in which IT professionals have the 'Freedom' to be creative and innovative. Founded in 2004, the company is headquartered in Columbia, USA, with a team of 51-200 employees. The company is currently Growth Stage.