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Atmospheric Data Scientist Jobs (NOW HIRING)

CLARA analytics

Data Scientist

Santa Clara, CA · On-site

While there is deep data science behind these solutions, they are packaged in easy-to-use formats ... The desire and ability to work in a fast-paced, start-up atmosphere * Takes a pragmatic approach to ...

CLARA analytics

Data Scientist

Santa Clara, CA · On-site

While there is deep data science behind these solutions, they are packaged in easy-to-use formats ... The desire and ability to work in a fast-paced, start-up atmosphere * Takes a pragmatic approach to ...

Quanta Search

Data Scientist

Chicago, IL · Remote

The data science team consists of highly motivated and experienced data scientists and they are a ... The atmosphere is very collaborative - they work out difficult problems together and the work that ...

Veritiv Corporation

Data Scientist

Sandy Springs, GA

Our Data Scientist will be responsible for supporting data science initiatives that drive business ... Collaborative atmosphere with our customers and suppliers to create healthier, safer and more ...

Veritiv Corporation

Data Scientist

Sandy Springs, GA · On-site

Our Data Scientist will be responsible for supporting data science initiatives that drive business ... Collaborative atmosphere with our customers and suppliers to create healthier, safer and more ...

Quanta Search

Data Scientist

Chicago, IL · On-site

The data science team consists of highly motivated and experienced data scientists and they are a ... The atmosphere is very collaborative - they work out difficult problems together and the work that ...

BWX Technologies, Inc.

Data Scientist

Lynchburg, VA · On-site

$85K - $134K/yr

Integrate manufacturing expertise with data science to support nuclear product research and ... An inclusive atmosphere that celebrates new perspectives and supports collaboration between ...

Cymertek

Data Scientist

Chantilly, VA · On-site

Data Scientist LOCATION Chantilly, VA 20151 CLEARANCE TS/SCI Full Poly (Please note this position ... With direct access to company leadership, a laid-back and inclusive atmosphere, and exceptional ...

Cymertek

Data Scientist

Aurora, CO · On-site

Data Scientist LOCATION Aurora, CO 80014 CLEARANCE TS/SCI Full Poly (Please note this position ... With direct access to company leadership, a laid-back and inclusive atmosphere, and exceptional ...

Cymertek

Data Scientist

San Antonio, TX · On-site

Data Scientist LOCATION San Antonio, TX 78208 CLEARANCE TS/SCI Full Poly (Please note this position ... With direct access to company leadership, a laid-back and inclusive atmosphere, and exceptional ...

Cymertek

Data Scientist

Honolulu, HI · On-site

Data Scientist LOCATION Honolulu, HI 96815 CLEARANCE TS/SCI Full Poly (Please note this position ... With direct access to company leadership, a laid-back and inclusive atmosphere, and exceptional ...

Cymertek

Data Scientist

Tysons, VA · On-site

Data Scientist LOCATION Tysons, VA 22182 CLEARANCE TS/SCI Full Poly (Please note this position ... With direct access to company leadership, a laid-back and inclusive atmosphere, and exceptional ...

Cymertek

Data Scientist

Tysons, VA · On-site

Data Scientist LOCATION Tysons, VA 22182 CLEARANCE TS/SCI Full Poly (Please note this position ... With direct access to company leadership, a laid-back and inclusive atmosphere, and exceptional ...

Cymertek

Data Scientist

Reston, VA · On-site

Data Scientist LOCATION Reston, VA 20190 CLEARANCE TS/SCI Full Poly (Please note this position ... With direct access to company leadership, a laid-back and inclusive atmosphere, and exceptional ...

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Atmospheric Data Scientist information

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$37.5K

$122.7K

$196.5K

How much do atmospheric data scientist jobs pay per year?

As of May 28, 2026, the average yearly pay for atmospheric data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Atmospheric Data Scientist, and why are they important?

To thrive as an Atmospheric Data Scientist, you need a solid background in atmospheric science, statistics, and programming, typically supported by a degree in meteorology, atmospheric science, or a related quantitative field. Experience with technical tools such as Python, R, MATLAB, and familiarity with remote sensing data, GIS software, and machine learning frameworks is often required. Strong analytical thinking, problem-solving abilities, and effective communication skills help you interpret complex data and convey findings to diverse audiences. These skills are crucial for generating accurate insights, supporting research, and informing policy or operational decisions based on atmospheric data.

What types of projects do Atmospheric Data Scientists typically work on, and how do they collaborate with other experts?

Atmospheric Data Scientists often engage in projects such as climate modeling, air quality forecasting, and weather prediction, which require analyzing complex environmental datasets. They routinely collaborate with meteorologists, environmental engineers, and software developers to design computational models and interpret results. Working in cross-functional teams, they help translate scientific findings into actionable insights for policy makers, businesses, or the public. This collaborative environment fosters both technical skill development and a broader understanding of atmospheric science applications.

What is an Atmospheric Data Scientist?

An Atmospheric Data Scientist is a professional who analyzes large datasets related to the Earth's atmosphere, such as weather patterns, climate change, and air quality. They use statistical methods, machine learning, and computational tools to extract insights from satellite data, sensor networks, and climate models. Their work helps improve weather forecasting, inform environmental policies, and advance scientific understanding of atmospheric processes. Atmospheric Data Scientists often collaborate with meteorologists, climate researchers, and governmental agencies.

What is the difference between Atmospheric Data Scientist vs Meteorologist?

AspectAtmospheric Data ScientistMeteorologist
Required CredentialsDegree in atmospheric science, data science, or related field; strong programming skillsDegree in meteorology or atmospheric science; often requires certification
Work EnvironmentResearch labs, data analysis centers, tech companiesWeather stations, TV stations, government agencies
Industry UsageData analysis, modeling, climate researchWeather forecasting, public weather reports

While both roles involve atmospheric sciences, Atmospheric Data Scientists focus on analyzing large datasets and developing models using programming skills, often working in research or tech environments. Meteorologists primarily forecast weather and communicate findings to the public, working in media or government agencies. The roles overlap in understanding atmospheric phenomena but differ in their core focus and work settings.

More about Atmospheric Data Scientist jobs
What cities are hiring for Atmospheric Data Scientist jobs? Cities with the most Atmospheric Data Scientist job openings:
What states have the most Atmospheric Data Scientist jobs? States with the most job openings for Atmospheric Data Scientist jobs include:
What job categories do people searching Atmospheric Data Scientist jobs look for? The top searched job categories for Atmospheric Data Scientist jobs are:
Atmospheric Data Scientist jobs near you
Infographic showing various Atmospheric Data Scientist job openings in the United States as of May 2026, with employment types broken down into 4% As Needed, 2% Full Time, 72% Part Time, 2% Temporary, and 20% Contract. Highlights an 100% Physical job distribution, with an average salary of $122,738 per year, or $59 per hour.
Research Scientist Atmospheric Science

Research Scientist Atmospheric Science

Karen Clark & CO

Boston, MA • On-site, Remote

$90K - $100K/yr

Full-time

Posted 12 days ago

Job description

Karen Clark & Company seeks a highly motivated physical scientist with experience in the field of atmospheric science to join our growing Model Development Team in our Downtown Boston office. In this position, you will work closely with other scientists and engineers to develop our suite of advanced, atmospheric-peril catastrophe models with an emphasis on severe convective storm hazard models.

Expected Salary Range: $90,000-$100,000 **
**

About KCC

Karen Clark & Company (KCC) is the innovation and technology leader in weather, climate, and catastrophe risk modeling. KCC professionals are globally recognized experts in catastrophe modeling and risk management. From our headquarters in Boston, Massachusetts, we provide advanced models, innovative software, and comprehensive consulting services to enhance risk management strategies and climate resiliency. KCC modeling technology currently covers tropical cyclones, extratropical cyclones, severe convective storms, floods, earthquakes, winter storms, and wildfires in over 80 countries. For information please visit www.kcc.us.com

Responsibilities

  • Collaborate with scientists and engineers to develop the technical aspects of atmospheric peril hazard and impacts models by applying state-of-the-art data processing and machine learning techniques
  • Collect and analyze large data sets of atmospheric data (e.g., numerical weather prediction, radar, satellite, etc.)
  • Compile related literature and datasets required for model development
  • Conduct model sensitivity and validation tests
  • Provide documentation for technical publications
  • Conduct post disaster field surveys after major events

Qualifications

  • PhD in geophysical science (atmospheric science preferred), physics, applied mathematics, or related field
  • Knowledge and experience in atmospheric processes related to synoptic scale, mesoscale, and convective scale weather systems
  • Knowledge and experience working with remote sensing data
  • Knowledge and experience in advanced probability and statistical methods as well as machine learning
  • Programming experience in a widely used language like Python
  • Ability to work independently and in a team environment
  • Excellent oral and written communication skills including an eye for professional presentation
  • Ability to travel within the US or internationally with little advance notice
  • Experience with GIS software (e.g., QGIS, ArcGIS, etc.) is a plus
  • Knowledge of C# programming language a plus
  • Experience in catastrophe modeling a plus

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