Requirements
• MSc in a quantitative field (Computer Science, Software Engineering, Statistics, Electrical Engineering or Information Systems Engineering, etc.) preferably with focus on Artificial Intelligence.
• At least 2 years of hands on experience with Time Series analysis and forecasting.
• Programming experience with Python or R.
• Experience with Deep Learning for Time Series Classification/Forecasting (e.g. LSTM).
• Experience with common ML or DL frameworks (e.g. scikit-learn, TensorFlow, PyTorch, Theano, Keras, etc.)
• Good knowledge and understanding of regularization and optimization techniques.
• Strong background knowledge in linear algebra, multivariate calculus, information theory and machine learning concepts.
• Demonstrated ability to work independently, as well as collaboratively in a team, with high impact results.
