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Meteorology Python Jobs in Pennsylvania (NOW HIRING)

AND POSITION REQUIREMENTS This position in the Department of Meteorology and Atmospheric Science at ... S. degree (or higher) and prior experience with Python, tropical cyclone datasets, statistical ...

$19 - $26/hr

AND POSITION REQUIREMENTS This position in the Department of Meteorology at Penn State supports a ... S. degree (or higher) and prior experience with Python, the Community Atmosphere Model, and working ...

Senior Catastrophe Research Scientist

Philadelphia, PA · On-site

$99K - $126K/yr

D./Masters degree in meteorology, engineering, statistics, and natural or climate science ... Strong computer skills including advanced knowledge of R or Python, Excel, SQL, and GIS tools is ...

... Meteorology, or Geosciences. * Familiarity with database applications is desired. * Experience with coding in R or Python or MATLAB is desired. * Some experience with statistics or data analytics is ...

Meteorology Python information

How does a Meteorology Python specialist typically collaborate with meteorologists and data scientists on forecasting projects?

A Meteorology Python specialist often works closely with meteorologists to translate atmospheric data into actionable insights using Python-based tools. They collaborate with data scientists to develop, optimize, and maintain scripts for data analysis, visualization, and model automation. Regular interactions may include joint code reviews, sharing domain knowledge, and integrating meteorological models with advanced analytics pipelines. This teamwork ensures accurate forecasts and innovative solutions to complex weather-related challenges.

Do meteorologists use Python?

Meteorologists often use Python for data analysis, modeling, and visualization due to its extensive libraries like NumPy, Pandas, and Matplotlib. Proficiency in Python can enhance forecasting accuracy and streamline data processing in meteorology roles.

Is meteorology being replaced by AI?

Meteorology as a field is increasingly integrating AI and machine learning to improve weather prediction accuracy and data analysis. However, human meteorologists remain essential for interpreting complex data, making judgments, and communicating forecasts, so AI complements rather than replaces the profession.

What is the difference between Meteorology Python vs Meteorology Data Analyst?

AspectMeteorology PythonMeteorology Data Analyst
Required CredentialsBachelor's in Meteorology, Computer Science, or related; Python programming skillsBachelor's in Meteorology, Data Science, or related; proficiency in data analysis tools
Work EnvironmentResearch labs, weather agencies, tech companiesWeather services, research institutions, government agencies
Employer & Industry UsageDeveloping weather models, automation, data processingAnalyzing weather data, reporting, forecasting support
Common Search & Comparison IntentFocus on Python skills in meteorologyFocus on data analysis roles in meteorology

While both roles involve meteorology, Meteorology Python emphasizes programming and developing weather models using Python, whereas Meteorology Data Analysts focus on interpreting weather data and generating reports. Both careers often require similar educational backgrounds but differ in daily tasks and skill sets.

What is the highest paying job in meteorology?

The highest paying jobs in meteorology are often senior roles such as atmospheric scientists or meteorological managers, especially in government agencies, private industry, or research institutions. These positions typically require advanced degrees, specialized skills, and experience, and can offer salaries exceeding $100,000 annually.

What Python jobs are in demand?

Python jobs in demand include roles such as data scientist, software developer, machine learning engineer, and automation engineer. These positions often require skills in data analysis, scripting, and familiarity with frameworks like TensorFlow or Django, with many employers seeking candidates with experience in cloud platforms and version control tools.

What are the key skills and qualifications needed to thrive as a Meteorology Python Developer, and why are they important?

To thrive as a Meteorology Python Developer, you need strong programming skills in Python, a solid grasp of meteorological concepts, and a relevant degree in atmospheric science, computer science, or a related field. Experience with data analysis tools (such as NumPy, Pandas, and Matplotlib), weather modeling systems, and libraries like MetPy or PyNGL is typically required. Critical thinking, strong problem-solving abilities, and effective communication help translate complex weather data into actionable insights. These skills are crucial for accurate weather analysis, efficient data handling, and effective collaboration with scientific teams.

What is Meteorology Python?

Meteorology Python refers to the use of the Python programming language for meteorological data analysis, visualization, and modeling. Professionals in this area use Python to process large datasets from weather stations, satellites, and climate models, enabling them to analyze patterns, forecast weather, and visualize atmospheric phenomena. Python's powerful libraries, such as MetPy, xarray, and matplotlib, make it a popular choice for both research and operational meteorology. This skillset is valuable in meteorological agencies, research institutions, and private sectors that require weather-related data processing.
What are popular job titles related to Meteorology Python jobs in Pennsylvania? For Meteorology Python jobs in Pennsylvania, the most frequently searched job titles are:
Infographic showing various Meteorology Python job openings in Pennsylvania as of July 2026, with employment types broken down into 25% Internship, and 75% Full Time. Highlights an 75% In-person, and 25% Remote job distribution.
Part-time Research Assistant in Meteorology - Tropical Cyclone Modeling and Data Analysis

Part-time Research Assistant in Meteorology - Tropical Cyclone Modeling and Data Analysis

Penn State University

University Park, PA • On-site

Part-time

Posted 6 days ago


Penn State University rating

7.8

Company rating: 7.8 out of 10

Based on 103 frontline employees who took The Breakroom Quiz

204th of 560 rated colleges and universities


Job description

APPLICATION INSTRUCTIONS:
  • CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process. Please do not apply here, apply internally through Workday.
  • CURRENT PENN STATE STUDENT (not employed previously at the university) and seeking employment with Penn State, please login to Workday to complete the student application process. Please do not apply here, apply internally through Workday.
  • If you are NOT a current employee or student, please click "Apply" and complete the application process for external applicants.

Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants.
JOB DESCRIPTION AND POSITION REQUIREMENTS
This position in the Department of Meteorology and Atmospheric Science at Penn State supports a scientific researcher to work on projects at the intersection of tropical cyclones, natural hazards, and data science. The successful candidate will:
  • Clean, organize, and manage tropical cyclone data for internal analysis and public release
  • Apply state-of-the-art atmospheric models to better understand the seasonal predictability of tropical cyclones in the Eastern United States given forecasted large-scale environments
  • Develop methods to compare overland precipitation as simulated by open-source tropical cyclone rainfall models with very-high-resolution weather model simulations and radar observations
  • Write and contribute to peer-reviewed scientific publications
  • Develop, document, and maintain clean, well-organized code for data processing and analysis workflows

Ideal candidates will have an M.S. degree (or higher) and prior experience with Python, tropical cyclone datasets, statistical-dynamical TC downscaling models, and working with gridded weather and climate data in NetCDF formats, along with strong scientific communication skills.
Interested candidates should submit a resume and cover lever online. Expected start date is 8/1/2026.
BACKGROUND CHECKS/CLEARANCES
Employment with the University will require successful completion of background check(s) in accordance with University policies.
CAMPUS SECURITY CRIME STATISTICS
Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the Pennsylvania Act of 1988, Penn State publishes a combined Annual Security and Annual Fire Safety Report (ASR). The ASR includes crime statistics and institutional policies concerning campus security, such as those concerning alcohol and drug use, crime prevention, the reporting of crimes, sexual assault, and other matters. The ASR is available for review here.
EEO IS THE LAW
Penn State is an equal opportunity employer and is committed to providing employment opportunities to all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you are unable to use our online application process due to an impairment or disability, please contact 814-865-1473.
Penn State is committed to and accountable for advancing equity, respect, and belonging. We embrace individual uniqueness, as well as a culture of belonging that supports equity initiatives, leverages the educational and institutional benefits of inclusion in society, and provides opportunities for engagement intended to help all members of the community thrive. We value belonging as a core strength and an essential element of the university's teaching, research, and service mission.
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