Machine Learning Weather Scientist Quant
1 month ago
Alipes Capital is seeking a highly skilled Machine Learning Weather Scientist to join our team in Copenhagen. As a key member of our modeling team, you will be responsible for developing and implementing machine learning models to predict short-term weather patterns and power production from renewables.
Key Responsibilities:
- Develop and train machine learning models using large datasets of weather data
- Collaborate with our team of quantitative analysts to integrate machine learning models into our trading strategies
- Work closely with our software development team to implement and deploy machine learning models
- Stay up-to-date with the latest advancements in machine learning and weather forecasting
About You:
- PhD or MSc degree in engineering, physics, computer science, or a relevant field
- Experience with machine learning, deep learning, and neural networks
- Proficiency in programming languages such as Python and R
- Familiarity with weather forecasting models and datasets
- Strong analytical and problem-solving skills
What We Offer:
- A dynamic and collaborative work environment
- Opportunities for professional growth and development
- A competitive salary and benefits package
- A chance to work on exciting and challenging projects
How to Apply:
Please submit your CV and a cover letter explaining why you are a strong fit for this role. We look forward to hearing from you
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