• You are a student enrolled in a program of economics, engineering, computer science, or a comparable field.
• With your analytical and structured way of working, you break down complex problems and find simple and efficient solutions, which you know how to document clearly and comprehensively.
• You have solid Python skills and experience working with typical data science and ML libraries, such as pandas, scikit-learn, plotly, or matplotlib.
• You are experienced in Exploratory Data Analysis (EDA), are familiar with regression, classification, and clustering algorithms, and have a good basic understanding of time series analysis.
• You understand that software development is a collaborative and communicative effort, and therefore place high value on code quality and the effective use of git.