Data Scientist, Energy Trading Full-time,Berlin Your role will be to develop state-of-the-art algorithms to predict price movements and execute orders on Europe’s biggest power exchanges. Large amounts of multivariate inputs such as raw weather data, solar/wind production forecasts, and grid balance indices will be your bread and butter. Being part of our Data Science team, you will be based in our headquarters in Berlin Schöneberg.

What you’ll be doing

Analyze and model large amounts of fundamental and technical data and derive insights to maximize returns on energy trading
Continuously apply state-of-the art machine learning techniques and frameworks to large and multivariate data (historic and real-time)
Develop scalable code/queries and end-to-end pipelines to deploy machine learning models on production
Work closely with resonanz Backend and Product Management teams to ensure system efficiency and business logic at all times

What you need to bring

Bachelor's degree in Computer Science, Mathematics, Physics, or a related technical field. Master’s degree or higher is preferred
A detailed understanding of Python, Pandas, Numpy, Scikit-learn, Keras/Tensorflow, and other data science frameworks
Basic knowledge of Python-based visualization libraries (e.g. Dash, Bokeh, or similar)
Applied experience with developing machine learning applications to solve real-world problems
Comfortable with mathematical concepts behind machine learning
Hands-on experience with database queries and handling big amounts of data
Ability and willingness to work independently
Reinforcement learning and risk estimation skills are a bonus