Energy Meteorologist

Posted 5 Days Ago
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Zürich
Senior level
Artificial Intelligence • Software
The Role
The Energy Meteorologist will evaluate forecast accuracy of weather models, work with data scientists to integrate meteorological insights, conduct detailed case studies on extreme weather events and their implications for energy markets, and communicate findings to stakeholders.
Summary Generated by Built In
Overview

Jua's mission is to create artificial general intelligence (AGI). Our product uses a foundational Earth systems model to predict atmospheric events. It’s more accurate, faster, and updates more frequently than current weather models, making it valuable for traders in weather-dependent power markets. These benefits are crucial during extreme weather events like hurricanes and cyclones. As we scale the model, more applications will become possible, including wildfire, flood, and vegetation prediction.
By joining our talented multidisciplinary team, you'll help shape our culture of ambition, transparent communication, and rapid iteration. We offer exciting challenges, creative freedom, fair pay, and generous stock options.

What we are looking for

We are seeking a highly skilled and experienced Meteorologist to join our team. The ideal candidate will have a strong background in meteorology and energy trading, be proficient in Python, and possess excellent statistical and communication skills. The ability to work independently and evaluate the performance of our models with a focus on the energy markets is essential.

Responsibilities and Tasks

  • Evaluate the forecast accuracy of our weather models using weather stations and gridded data

  • Work closely with data scientists to incorporate meteorological insights into comprehensive foundation modelling

  • Identify relevant weather extreme cases and conduct detailed meteorological case studies, particularly focusing on extreme weather events and their implications on energy markets

  • Communicate complex meteorological concepts and findings to internal stakeholders, customers and non-technical audiences clearly and concisely

Need-to-have

  • Previous experience working with energy market data and understanding its dynamic

  • Proven experience in conducting meteorological case studies and analysis

  • Proficiency in Python, experience working with xarray and large zarr files (> TBs)

  • Strong understanding of deterministic and probabilistic forecast error metrics and their application in meteorology

  • Ability to work independently and manage projects without requiring support from developers or data engineer

  • Excellent verbal and written communication skills

  • An advanced degree in Meteorology, Atmospheric Science, or a related field

Nice-to-have

  • Experience with machine learning techniques and their application in weather forecasting

  • Understanding of weather forecasting markets e.g. numerical weather prediction and rise of AI weather forecasting

At Jua, we foster a performance culture and value people who embody our beliefs of service and adventure. We prioritize agility, operating at the highest clock speed to adapt quickly to change. We innovate on behalf of our users and leverage data supremacy to maintain our competitive edge. Through clear communication and fact-based decision-making, we ensure alignment in our pursuit of excellence. With these principles, we aim to create a customer-focused, value-centric organization that sets new standards in the industry. We value the unique perspectives that each individual brings to the table and believe that embracing diverse backgrounds and experiences enriches our collective journey towards growth and success.

Top Skills

Python
The Company
HQ: Schwyz
42 Employees
On-site Workplace
Year Founded: 2022

What We Do

Jua.ai - Accuracy beyond expectation. Use beyond belief. The world's first end to end deep learning model for weather forecasting, delivered on an intuitive platform for anyone to customise it. Startups, governments and large companies alike can now develop global, high frequency and high accuracy weather models within days.

Jua’s mission is focused on achieving artificial general intelligence (AGI) through a deep exploration of physics, the universe, and their interaction with the human civilisation. We are initially building the world's largest AI weather forecasting model so far and - to our knowledge - the first truly end to end one. This will help energy companies deal with weather volatility by way of significantly better and faster prediction as well as much more flexible extrapolation of insights.

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