Masters Degree in Applied Mathematics and Statistics, or closely related quantitative field, plus 3 years of experience in position offered or in a financial analyst or data analyst position.br br All required experience must have included performing statistical modeling and using machine learning techniques feature engineering, regression, classification, segmentation, cross validation, bootstrapping, and Bayesian techniques; transforming research and analysis into product code, working in Git, and performing peer code review; programming with at least one of the following R, Python, SAS, Scala, or Matlab; and working with engineering interfaces D3, containerized applications, MongoDB, Scikitlearn, and NLTK.
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