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Meteorology Python Jobs in New York (NOW HIRING)

ICF

Senior Climate Analytics Specialist

New York, NY · On-site

$95K - $117K/yr

... meteorology, or similar * 5+ years of relevant experience applying advanced analytics to climate, geospatial, or environmental data * 2+ years of experience with Python for processing and analyzing ...

All JobsMeteorology Python JobsMeteorology Python Jobs in New York

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 New York? For Meteorology Python jobs in New York, the most frequently searched job titles are:
What job categories do people searching Meteorology Python jobs in New York look for? The top searched job categories for Meteorology Python jobs in New York are:
What cities in New York are hiring for Meteorology Python jobs? Cities in New York with the most Meteorology Python job openings:
Meteorology Python jobs near you
Staff Software Engineer, Consumer Weather Science & AI

Staff Software Engineer, Consumer Weather Science & AI

The Weather Company

Manhattan, NY • On-site

Full-time

Posted 27 days ago

Job description

Job Summary:
The Weather Company is the world’s leading weather provider, helping people and businesses make more informed decisions and take action in the face of weather. The role involves owning the technical and scientific delivery of consumer vertical experiences, translating model output and AI-derived insights into APIs and data services that serve hundreds of millions of users.
Responsibilities:
• Science-side delivery of consumer vertical experiences from model output through production APIs to user-facing features
• Data pipelines and APIs that serve forecast products derived from GRAF, MPAS, ECMWF, and TWC ML models to labs experiments and flagship apps
• LLM-driven content generation in consumer experiences, including prompt engineering, evaluation harnesses, and guardrails
• Reduction-to-practice work with research scientists
• Labs-to-flagship graduations, partnering with product owners, designers, and front-end engineers
• Day-to-day use of AI coding assistants and agentic workflows as part of how the team builds
Qualifications:
Required:
• 4+ years of software engineering with demonstrated ability to take projects from concept to production at consumer scale
• Strong Python in a Linux/Unix environment. TypeScript or JavaScript for front-end integration is a plus
• Working knowledge of atmospheric science, NWP, or a closely adjacent earth-science domain. You should be a credible scientific partner to our research scientists and able to make sound product calls under scientific uncertainty
• Demonstrated daily use of AI coding assistants (Claude Code, Cursor, Cline, or similar)
• AWS experience (S3, Lambda, ECS, API Gateway, SQS/SNS) and modern DevOps practices (CI/CD, IaC)
• Hands-on production experience with LLM APIs, including prompt engineering, evaluation, guardrails, and observability
• Comfort working across scientists, designers, product, and external partners. Strong translation skills between scientific nuance and product reality
• Strong written and verbal communication; comfortable presenting in cross-functional and leadership settings
Preferred:
• Advanced degree (M.S. or PhD) in Atmospheric Science, Meteorology, Oceanography, or a related field
• Experience with meteorological data formats (GRIB, NetCDF, HDF, Zarr) and geospatial processing
• Experience building consumer or outdoor vertical products (sailing, kiteboarding, golf, ski, hiking, fishing, agriculture)
• Operationalisation of ML or AI-derived forecast products (downscaling, ensemble post-processing, emulators)
• Familiarity with LLM observability and routing infrastructure (LiteLLM, Langfuse)
• Experience working alongside designers and PMs in a labs/experimentation context
Company:
The Weather Company is owned by a consortium made up of NBC Universal and the private equity firms The Blackstone Group and Bain Capital. Founded in 1982, the company is headquartered in Atlanta, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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