Meteorological Data Scientist for Advanced Weather Forecasting
Vor 4 Tagen
UBIMET, a pioneering force in the global weather services sector, is based in Vienna, Austria. The company has established industry benchmarks through its innovative solutions, unparalleled accuracy, and steadfast commitment to excellence.
International experts in meteorology, physics, biology, and geography issue customized, individual, and precise weather forecasts for several million private and industrial customers worldwide. Additionally, UBIMET contributes to finding solutions to the most challenging problem of our generation: Climate Change.
Our mission: Making 8 billion people and organizations safer and wealthier by emphasizing the importance of weather.
Because weather matters: We have revolutionized weather forecasting by employing cutting-edge proprietary AI technology to deliver tailored weather information within customized tools for businesses, enhancing safety and efficiency.
Your Future Responsibilities- You will co-lead the development of advanced machine learning models within a meteorological context.
- Conduct comprehensive analysis of large datasets and identify complex weather patterns.
- Closely collaborate with an interdisciplinary team of meteorologists, data scientists, and software developers.
- E nsure seamless integration of machine learning and AI technologies into existing meteorological systems.
- Diligently validate and continuously monitor forecast models, as well as perform comprehensive modeling of meteorological processes.
- Proven expertise in data cleaning and accurate prediction of meteorologically driven variables (e.g., wind and solar energy) using leading AI/ML technologies.
- A degree in Meteorology, Atmospheric Physics, or a related field.
- Solid programming experience in Python, with extensive knowledge of applying open-source ML libraries (such as scikit-learn, TensorFlow, Keras, PyTorch).
- Excellent analytical skills and strong problem-solving abilities.
- Strong team orientation and outstanding communication skills to effectively collaborate in a dynamic environment.
- Flexible working hours and home office.
- Annual pass for the Vienna public transportation system.
- Team events such as Christmas and summer parties, participation in sports events (e.g., Wings for Life Run and Business Run).
- Healthcare offerings (such as free vaccination campaigns).
- Excellent career opportunities in an innovative and growing company with flat hierarchies.
- Steep learning curve through engagement with various modern topics (e.g., AI) at or above the current state of the art.
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