<ul> 
<li> Master’s degree in computer science, data science, physics, math or a related field.
<li> A strong foundation in numerical methods, statistics and other related math fields is essential.
<li> 2+ years of experience in Data Science (Industry or Academic experience).
<li> Proficiency in Python and experience with data manipulation, analysis and visualisation libraries (e.g. Pandas, NumPy, Matplotlib, Seaborn, etc.) as well as one or more ML-libraries (e.g. Scikit-learn, PyTorch, Keras, TensorFlow)
<li> Foundational understanding of SQL and ORM.
<li> Strong understanding and adherence to the Clean Code principles." </ul>

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