Data Scientist – Time-Series Forecasting

• Develop generic AI models
• Take responsibility for operational processes (ETL, MLOps)
• Contribute to building an in-house team
• Design and further develop software
• Work with large volumes of data
• Develop forecasting solutions for the energy sector using AI, machine learning, and meteorological intelligence

• Motivation and enthusiasm for continuous learning
• Experience with Python, scikit-learn, and PyTorch
• Experience using AI-assisted programming tools
• Enjoy designing and further developing software
• Enjoy working with large volumes of data
• Interest in machine learning methods and artificial intelligence
• Experience and knowledge in the energy and meteorology sectors

• Successful seed-stage startup
• Flexible working hours and a remote-first team
• Opportunity to help build the company
• State-of-the-art software and hardware infrastructure