Design algorithms, build models, and prototype solutions for multiple projects.
Work closely with infrastructure providers to translate prototypes into production solutions.
Design hypothesis tests, oversee execution, and perform rigorous statistical evaluation of the results to produce actionable insights
Strong academic background with a Masters in Computer Science, Mathematics or other quantitative fields
Hands-on experience in the research, design and evaluation of machine learning approaches (regression, clustering, SVM, neural networks and dimensionality reduction techniques) to solve real world problems.
Proficiency in Python; with familiarity in ML packages such as Tensorflow, PyTorch etc.