Data Scientist for Renewable Energy Forecasting
4 weeks ago
About the Role: Alipes ApS is a leading company in the energy sector, utilizing machine learning technology to read and interpret fundamental and market data. We are seeking a highly skilled Data Scientist for Renewable Energy Forecasting to join our team.
Job Description: As a Data Scientist, you will play a crucial role in developing and deploying machine learning models that accurately predict short-term weather patterns and power production from renewables. Your work will involve analyzing massive datasets of weather information and creating predictive models that support price discovery, risk management, and balancing the power grid.
Key Responsibilities: The ideal candidate will have experience with ML/AI/Neural-based weather forecasting, deep learning, and neural networks. A strong background in engineering, physics, computer science, or a related field is essential. Proficiency in programming languages such as Python, particularly in data-wrangling and numerical programming, is also required. Additionally, the successful candidate will be familiar with terms like ECMWF IFS, HRRR, GFS, GOES, and possess a scientific and inquisitive mind.
What we Offer: At Alipes ApS, we offer a flat hierarchy, high levels of trust and autonomy, exciting problems to solve, and a collaborative team made up of really smart and curious people. Our office is located in central Copenhagen, and we provide a hybrid work model. Pension, Health Insurance, and 30 days of vacation are also included in our benefits package.
Promising Compensation: We offer a competitive salary ranging between €80,000 - €110,000 per year, depending on experience, which reflects the demand for experts in this field.
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