ZipRecruiter

Log In

1

Atmospheric Data Scientist Jobs (NOW HIRING)

Cymertek

Data Scientist

Aurora, CO · On-site

Data Scientist LOCATIONAurora, CO 80014 CLEARANCETS/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

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

Cymertek

Data Scientist

Annapolis Junction, MD · On-site

Data Scientist LOCATIONAnnapolis Junction, MD 20701 CLEARANCETS/SCI Full Poly (Please note this ... With direct access to company leadership, a laid-back and inclusive atmosphere, and exceptional ...

Agile Defense

Data Scientist

Scott Air Force Base, IL · On-site

Data Scientist Location: In Person: Falls Church, VA | Ft. Meade, MD | Stuttgart, Baden-Wurttemberg ... Being helpful is the foundation of teamwork, resulting in a supportive atmosphere where ...

Cymertek

Data Scientist

San Antonio, TX · On-site

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

Apogee Integration, Llc

Data Scientist

Chantilly, VA · On-site

Active TS/SCI with FS Polygraph required Position Seeking a Data Scientist to support an ... Be the EMPLOYER of choice committed to an open & transparent corporate atmosphere and progressive ...

Cymertek

Data Scientist

San Antonio, TX · On-site

Data Scientist LOCATIONSan Antonio, TX 78208 CLEARANCETS/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 LOCATIONTysons, VA 22182 CLEARANCETS/SCI Full Poly (Please note this position ... With direct access to company leadership, a laid-back and inclusive atmosphere, and exceptional ...

Cymertek

Data Scientist

Chantilly, VA · On-site

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

Cymertek

Data Scientist

Annapolis Junction, MD · On-site

Data Scientist LOCATIONAnnapolis Junction, MD 20701 CLEARANCETS/SCI Full Poly (Please note this ... With direct access to company leadership, a laid-back and inclusive atmosphere, and exceptional ...

Cymertek

Data Scientist

Honolulu, HI · On-site

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

next page

Showing results 1-20

People also search for

All JobsAtmospheric Data Scientist Jobs

Atmospheric Data Scientist information

See salary details

$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.
Atmospheric Scientist - AI Trainer

Atmospheric Scientist - AI Trainer

DataAnnotation

Louisiana, MO • On-site, Remote

$40/hr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule. We are looking for experienced quantitative professionals to help advance AI development. AI models are increasingly capable of performing complex analytical and scientific reasoning — but these systems still need practitioners with real-world quantitative experience to validate whether the outputs actually hold up in practice.

That's where you come in. As a member of DataAnnotation's team, you'll work closely with state-of-the-art AI models on tasks like evaluating AI-generated quantitative analysis, solving technical problems, and providing feedback that directly shapes how these systems reason about data, models, and scientific problems. Whether your background is in data science, astrophysics, economics, biostatistics, operations research, or any other quantitative field, if you think rigorously about data and models, your skills are directly applicable here.

Some team members fit this work alongside a full-time role, while others treat it as their primary focus. To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass, you'll receive an email confirmation, and paid work will become available on our platform.

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand. Flexible schedule: choose which projects you take on and when you work. Competitive pay: projects are paid hourly, starting at $40+ USD per hour.

Impact: help shape the future of AI systems built to reason about data and analytics. Responsibilities Evaluate AI-generated quantitative work, including statistical analysis, predictive modeling, scientific reasoning, and data-driven insights, for technical accuracy and real-world validity. Design and solve quantitative problems used to train and benchmark AI systems, spanning areas like forecasting, experimental analysis, optimization, and statistical inference.

Write clear technical explanations and well-documented analytical code. Provide feedback that directly shapes the next generation of AI models built for quantitative reasoning. Qualifications 2+ years of hands‐on experience in a quantitative role or research environment — such as data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or any adjacent field.

Some coding experience required, with comfort writing and reviewing analytical code end-to-end. Practical experience with statistical methods, predictive modeling, and experiment design (e.g., A/B testing, hypothesis testing, regression, classification, time‐series forecasting). Fluency in English (native or bilingual level) with strong writing skills.

A bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); a master's or PhD is a plus. Relevant credentials are a plus (e.g., Kaggle Competition ranking, AWS/GCP ML certifications, or equivalent demonstrated expertise). Note: Payment is made via PayPal.

We will never ask for any money from you. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand. #datascience #J-18808-Ljbffr

Apply