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Remote Atmospheric Scientist Jobs (NOW HIRING)

Overstory

... remote sensing, atmospheric science, or a related quantitative field * Deep expertise in remote sensing and geospatial analysis, including working with satellite imagery and large-scale environmental ...

Leidos

Hyperspectral Image Scientist

Springfield, VA · On-site +1

$92K - $166K/yr

Radiometric, atmospheric, and geometric correction * Algorithm development and validation * Python ... Bachelor's degree in Remote Sensing, Imaging Science, Physics, Electrical Engineering, Geospatial ...

Overstory

Staff Data Scientist - Wildfire

... remote sensing, atmospheric science, or a related quantitative field * Deep expertise in remote sensing and geospatial analysis, including working with satellite imagery and large-scale environmental ...

US Department of Commerce

Meteorologist

Dodge City, KS · On-site +1

$40K/yr

Degree in Meteorology, Atmospheric Science, or another natural science major that includes: * At ... hours in remote sensing of the atmosphere and/or instrumentation * 6 semester hours of physics ...

US Department of Commerce

Meteorologist

Barrigada, GU · On-site +1

$40K/yr

Degree in Meteorology, Atmospheric Science, or another natural science major that includes: * At ... hours in remote sensing of the atmosphere and/or instrumentation * 6 semester hours of physics ...

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How much do remote atmospheric scientist jobs pay per year?

As of Sep 5, 2026, the average yearly pay for remote atmospheric scientist in the United States is $127,031.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,000.00 and $143,500.00 per year, depending on experience, location, and employer.

What is a remote atmospheric scientist?

A Remote Atmospheric Scientist analyzes weather patterns, climate trends, and atmospheric data while working from a remote location. They use computer models, satellite imagery, and forecasting tools to study atmospheric conditions and their effects on the environment. This role often involves collaborating with research teams, government agencies, or private organizations to improve weather predictions and climate models. Strong analytical skills, programming knowledge, and expertise in meteorology or atmospheric science are essential for success in this field.

What are the typical daily responsibilities of a remote atmospheric scientist?

As a Remote Atmospheric Scientist, your daily tasks often include analyzing meteorological data, running climate or weather models, interpreting satellite imagery, and preparing technical reports or presentations for stakeholders. You may also attend virtual meetings with team members, collaborate on research projects, and provide expert insights to clients or other departments. The role requires a balance of independent analysis and coordinated teamwork, leveraging digital platforms to share findings and contribute to ongoing scientific research. This structure supports both depth in individual expertise and meaningful collaboration, even when working remotely.

What are the key skills and qualifications needed to thrive as a remote atmospheric scientist?

To excel as a Remote Atmospheric Scientist, a solid background in meteorology, atmospheric science, or a related field, along with experience in data analysis and modeling, is essential. Proficiency with technical tools such as Python or MATLAB, remote sensing software, and satellite data platforms is highly valued, and certifications like CCM (Certified Consulting Meteorologist) may be beneficial. Strong written and verbal communication skills, self-motivation, and the ability to collaborate virtually are key soft skills. These abilities enable effective remote research, accurate data interpretation, and productive teamwork despite geographical distance.

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Remote Atmospheric Scientist jobs near you
Infographic showing various Remote Atmospheric Scientist job openings in the United States as of August 2026, with employment types broken down into 91% Full Time, and 9% Part Time. Highlights an 100% Remote job distribution, with an average salary of $127,031 per year, or $61.1 per hour.

Staff Data Scientist - Wildfire

Overstory

On-site, Remote

Full-time

Posted 18 days ago

Key responsibilities

  • Lead research into estimating vegetation structure, fuel conditions, and wildfire risk from satellite, LiDAR, and environmental data across diverse geographies

  • Design validation and evaluation methodologies, including ground-truth strategies, uncertainty quantification, and error analysis

  • Prototype and refine machine learning modeling approaches, then collaborate with ML engineers to implement them into production systems

Job description

Role & Team

We are excited to add a Staff Data Scientist, Wildfire to our team. This individual will lead the scientific foundation of our Fuel Detection Model, the core engine that translates satellite and environmental data into an understanding of vegetation structure, fuel loads, and wildfire risk.
Working alongside ML engineers, and a product team, you'll define accuracy for our models, design the research and validation methods that prove it, and ensure our modeling choices are grounded in fire science and remote sensing fundamentals. This is a great opportunity for someone who is energized by open scientific questions with direct real-world stakes, and who wants their research to shape how utilities prevent catastrophic wildfires.

Time Zone Requirement: North America (NST, AST, EST, CST, MST, PST)

What You'll Do
  • Lead research into how vegetation structure, fuel conditions, and wildfire risk can be estimated from satellite, LiDAR, and environmental data across diverse geographies
  • Design rigorous validation and evaluation methodologies, including ground-truth strategies, uncertainty quantification, and error analysis tied to real-world impact
  • Prototype and refine ML modeling approaches, then partner with ML engineers to translate them into production systems
  • Integrate established fire science, such as fuel models and fire behavior frameworks, with data-driven methods
  • Define scientific standards for experimentation, reproducibility, and model interpretability across the modeling organization
  • Communicate research findings clearly to engineers, product teams, customers, and the broader wildfire science community
  • Mentor ML engineers on scientific methodology and domain reasoning
Skills & Experience
  • 8+ years of applied research or data science experience in wildfire science, fire ecology, forestry, remote sensing, atmospheric science, or a related quantitative field
  • Deep expertise in remote sensing and geospatial analysis, including working with satellite imagery and large-scale environmental datasets
  • Strong statistical modeling and machine learning skills in Python, with tools like GeoPandas, scikit-learn, PyTorch, or XGBoost
  • Track record of designing validation studies and evaluation frameworks for environmental or geospatial models
  • Excellent communication skills, with the ability to make complex scientific work legible across technical and non-technical audience
Nice To Have
  • Familiarity with fire behavior or fuels modeling frameworks (e.g., Rothermel-based models, LANDFIRE fuel classifications)
  • Experience integrating physics-based models with ML, or with active learning and uncertainty quantification
  • Peer-reviewed publications in wildfire science, remote sensing, or environmental modeling
  • Familiarity with GCP, Vertex AI, or similar cloud-based platforms
  • Experience in remote-first or globally distributed team

Note: We believe that all people are capable of great things. We encourage you to apply even if you do not meet all of the requirements that are listed within this job description.

What We Offer
  • Competitive, location-specific compensation and benefits 
  • Flexible, autonomous and collaborative working environment rooted in trust - we build our work days around our lives, not the other way around
  • Home office stipend, co-working and ongoing education budgets 
  • A company culture that genuinely embodies each of our core values
  • To be part of truly mission-driven work that reduces wildfires, protects earth's natural resources and helps solve our climate crisis

Apply