What You’ll Bring

• Degree in a quantitative discipline
• Deep understanding of and proven ability to apply data science and machine learning concepts such as deep learning, CNN (in particular computer vision), instance segmentation, boosting, hypothesis testing, statistical analysis, NLP, transformers, predictive modelling, time series
• Demonstrated proficiency in Python and the Python data science ecosystem (SciPy, NumPy, pandas, seaborn, Matplotlib, Dask, …). Additional proficiency in second language would be a plus
• Experience with image augmentation and preprocessing techniques using PIL, OpenCV and albumentations
• Proficiency in either PyTorch or TensorFlow
• Familiarity with any of the following would be a plus:
  • Google Cloud Platform
  • Kubernetes
  • concepts such as homography transformations, attention mechanisms, photogrammetry