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Meteorological Data Scientist Jobs (NOW HIRING)

Axiom Consultants

Physical Scientist

Sterling, VA · On-site

The Physical Scientist will assist with testing and evaluation, and contribute to the development ... Performs analysis of meteorological data to determine validity and quality of the data. * Support ...

Forest Service

Meteorological Technician

Mount Shasta, CA · On-site +1

$50K - $55K/yr

Collect, analyze, interpret, adjust and verify atmospheric and other meteorological data to confirm and improve accuracy and efficacy; Measure meteorological phenomena with scientific equipment and ...

Axiom Consultants

Physical Scientist

Sterling, VA · On-site

The Physical Scientist will assist with testing and evaluation, and contribute to the development ... Performs analysis of meteorological data to determine validity and quality of the data. * Support ...

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How much do meteorological data scientist jobs pay per year?

As of Jul 7, 2026, the average yearly pay for meteorological data scientist in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What is the difference between Meteorological Data Scientist vs Climatologist?

AspectMeteorological Data ScientistClimatologist
Required CredentialsDegree in meteorology, atmospheric science, or related field; data analysis skillsDegree in climatology, atmospheric science, or related field; research experience
Work EnvironmentResearch labs, weather agencies, data analysis firmsAcademic institutions, government agencies, research centers
Industry UsageWeather forecasting, climate modeling, environmental consultingClimate change research, policy advising, environmental impact studies

While both roles involve atmospheric sciences, Meteorological Data Scientists focus on analyzing weather data and forecasting, whereas Climatologists study long-term climate patterns and trends. The roles often overlap in skills and work environments, but their primary objectives differ—short-term weather prediction versus long-term climate analysis.

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

To thrive as a Meteorological Data Scientist, you need a strong background in meteorology, statistics, and data science, often supported by a degree in atmospheric science, computer science, or a related field. Proficiency with programming languages like Python or R, experience with machine learning frameworks, and familiarity with meteorological data systems such as WRF or satellite data tools are typically required. Strong analytical thinking, problem-solving abilities, and effective communication are crucial soft skills for interpreting complex data and collaborating with interdisciplinary teams. These skills ensure accurate weather predictions, meaningful insights, and the ability to convey findings to both technical and non-technical stakeholders.

What is a Meteorological Data Scientist?

A Meteorological Data Scientist is a professional who uses advanced data analysis, statistical modeling, and machine learning techniques to study and interpret weather and climate data. They work with large datasets from satellites, weather stations, and climate models to develop forecasts, identify weather patterns, and support decision-making in fields like agriculture, transportation, and disaster management. Their work helps improve the accuracy of weather predictions and enhances our understanding of climate trends.

What are some common challenges faced by Meteorological Data Scientists when working with large and complex weather datasets?

Meteorological Data Scientists often encounter challenges related to the size, variety, and quality of weather data. Datasets can be massive, coming from multiple sources like satellites, ground stations, and radar, which require robust data cleaning and integration techniques. Handling missing or inconsistent data, ensuring data integrity, and efficiently processing real-time streams are frequent hurdles. Additionally, translating raw data into actionable insights for stakeholders requires strong domain knowledge and collaboration with meteorologists and engineers.
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What states have the most Meteorological Data Scientist jobs? States with the most job openings for Meteorological Data Scientist jobs include:
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Meteorological Data Scientist jobs near you
Meteorologist and Data Scientist Developer

Meteorologist and Data Scientist Developer

Lynker Corporation

College Park, MD • On-site, Remote

$68K - $85K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago

Job description

Overview
Lynker is seeking a sharp Meteorologist and Data Scientist Developer. The individual selected will serve as a meteorologist/data scientist developer at the Weather Prediction Center (WPC) and will have direct interaction with scientists within NOAA as well as partners outside of NOAA. This includes: NCEP centers, NWS weather forecast offices, NOAA research facilities, academia, and the NWS Science and Operations Officer community. In this capacity the incumbent will work with these partners to develop and implement verification methods to gauge the effectiveness of new forecaster tools applied to operational and experimental forecasts. The work will also strive to build the capacity to enhance impact decision support services (IDSS), effectively building a Weather Ready Nation. The role will also focus on leveraging machine learning techniques to enhance forecasting capabilities. This includes leading projects that apply advanced AI algorithms to predictive modeling.
In addition, the person selected will work to provide enhancements that build upon current forecaster tools as well as work to develop new services and forecaster tools. Promising work will be transitioned to operations. The incumbent will provide training materials on the enhanced forecaster products and tools. The individual will specifically employ machine learning models to improve existing tools and pioneer new, data-driven services.
Responsibilities
Areas of particular need and interest to be addressed include developing forecaster and verification tools for hazardous weather. Additional areas of focus include the use of ensemble model output to aid forecaster generation of probabilistic products. A key focus will be integrating AI and machine learning workflows to optimize the processing of ensemble model output and other complex meteorological datasets. This also entails applying neural networks to enhance high-resolution numerical weather prediction models.
The ideal candidate will be able to identify pertinent datasets (satellite, land use, and meteorological) and develop forecaster tools which may be implemented on web pages. Assignments are typically received in terms of expected outcomes, and incumbents are expected to act independently to develop methodologies, and to provide sound analyses and recommendations. Assigned projects may include analysis, application development, or other areas specific to the assignment. The ideal candidate will also leverage AI-driven data pipelines to automate the ingestion and preprocessing of vast meteorological datasets.
Duties of the Meteorologist and Data Scientist Developer will include the following:
  • Collaborate with meteorologists at NCEP, NWS field offices, academia, and outside partners to develop forecast tools for short to medium range time frames regarding hazardous weather.
  • Use scientific and technical meteorological expertise to develop tools for determination of hazard information.
  • As appropriate, contribute to formal scientific publications, and/or attending off-site conferences, symposia and hazardous-weather-related outreach events.
  • Collaborate to transition forecaster tools developed at WPC and elsewhere within NOAA into operations at WPC and other NOAA offices.
  • Develop web applications using modern industry languages and tools such as, GIS, Python, and PHP.
  • Develop training materials to transition new tools and techniques into operations.
  • Perform related duties as assigned.
  • Design and train machine learning models to identify precursors to severe weather events.
  • Implement AI-based anomaly detection systems to identify errors or gaps in real-time forecast data.

Qualifications
The Meteorologist and Data Scientist Developer selected should have the following:
  • Degree in meteorology, hydrology or related science fields (BS required, with MS or above preferred)
  • Experience applying artificial intelligence (AI) and machine learning (ML) techniques to analyze and model complex environmental or meteorological datasets.
  • Experience with software development support in a team environment
  • Experience with Python and Unix shell scripting within a UNIX/Linux Environment.
  • Knowledge of deterministic and ensemble prediction system data sets and their application to hazardous weather diagnosis and prediction.
  • Knowledge of weather forecasting - short to medium range
  • Ability to organize, plan, and complete projects
  • Excellent written and oral communication skills for documentation and presentations
  • Ability to support team initiatives, demonstrate respect for team members, and seek team consensus

The Ideal Meteorologist and Data Scientist Developer will have the following:
  • Experience with development Frameworks for web based map applications ( e.g. ArcGIS, JavaScript, API)
  • Proficiency in data science frameworks and libraries such as TensorFlow, PyTorch, or Scikit-learn, and experience with deep learning applications in weather prediction.

About Lynker
Lynker is a growing, employee owned business, specializing in professional, scientific and technical services. Our continually expanding team combines scientific expertise with mature, results-driven processes and tools to achieve technically sound, cost effective solutions in hydrology/water sciences, geospatial analysis, information technology, resource management, conservation, and management and business process improvement.
We focus on putting the right people in the right place to be effective. And having the right people is critical for success. Our streamlined organization enables and empowers our talented professionals to tackle our customers' scientific and technical priorities - creatively and effectively.
Lynker offers a team-oriented work environment, and the opportunity to work in a culture of exceptionally skilled professionals who embrace sound science and creative solutions. Lynker's benefits include the following:
  • Comprehensive healthcare for the employee at no monthly cost
  • Healthcare benefit covers medical, prescription drug, dental, and vision
  • Personal Time Off (PTO) Policy plus paid holidays
  • Highly competitive compensation plan regularly calibrated against industry and location benchmarks
  • 401(k) retirement plan with company-matching
  • Employee Stock Ownership Plan (ESOP) - we're all company owners!
  • Flexible spending accounts
  • Employee assistance program (EAP)
  • Short- and long-term disability insurance
  • Life and accident insurance
  • Tuition assistance/Training/Workforce improvement reimbursement per year
  • Spot bonuses for exceptional performance
  • Annual Employee Recognition Awards with bonuses
  • Employee Referral Program
  • Free centralized, self-directed Learning Management System to learn at your own pace
  • Personalized career growth plans for every employee

Lynker is an E-Verify employer.
Lynker is an equal opportunity employer and makes all employment decisions based on merit, qualifications, and business needs. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other legally protected status under federal, state, or local laws.
âš  Fraud Alert: Recruitment Scam Warning: Lynker has been made aware of fraudulent individuals posing as Lynker recruiters and offering fake job opportunities. All legitimate Lynker job postings are listed on our official careers page. Communication from Lynker recruiters will come from an official @lynker.com email address.

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