WeatherXM.com is building the fastest growing weather station network in the world.

Supported by visionary investors like Lightspeed Faction, Placeholder, Consensys Mesh, Protocol Labs, Borderless Capital, Arca, Redbeard, DLAB, SOSV, and notable angel investors such as Juan Benet (Filecoin), WeatherXM is leveraging Web3, IoT, and machine learning technologies to bring about a paradigm shift in weather data collection and positively impact the planet and the lives of millions of people on it.

By installing and operating a WeatherXM-compatible station, anyone can join the fastest-growing people-powered weather network and get rewarded for the data they contribute.

Using low cost hardware and delegating capex, installation and maintenance to the community, we create dense weather networks capable of providing hyper-local, real-time weather measurements in areas without prior weather infrastructure, overcoming the obstacles of centralized planning, procurement and maintenance model national weather organizations have to follow.

With over 5,000 stations in more than 80 countries our network provides unparalleled coverage and forecasts. Our web3-native data, digitally signed and stored on Filecoin, serves as the foundation for on-chain weather protection and parametric weather insurance protocols.

Join us at WeatherXM and help build the future of weather monitoring. Together, we'll transform weather data into a valuable asset and make a lasting impact on the world.

About the Role:

We are seeking a skilled, innovative, and proactive experienced Weather Data Scientist to join our weather team. As our Weather Data Scientist, you will play a pivotal role in developing advanced algorithms and software, for a variety of weather-related products, such as weather forecasts, data quality assessments, and sensor distribution optimizations.

As a member of the weather team, you'll have the opportunity to explore new technologies and innovative techniques to meet the evolving needs of our company's weather-related initiatives. The ideal candidate will combine both analytical rigor and creative problem-solving skills, to drive our projects to success.

Responsibilities:

• Developing new algorithms and software for weather products (e.g., Weather data quality validation, assessing weather station deployments)
• Refactoring and optimizing algorithms for weather products.
• Creating visualizations of weather data for internal use or marketing purposes.
• Implementing Machine Learning methods for improving weather forecasting and assessing weather station deployments.
• Combine weather station data from our network with data from other sources (e.g., numerical model, satellite, radar data) to enhance weather forecasts and create visualizations.
• Exploratory data analysis (EDA) on weather data.