The position requires a Masters Degree, or foreign equivalent, in Statistics, Mathematics, Economics, Actuarial Science or a related field plus four 4 years of experience in the job offered or a related field. The employer will also accept a Ph. D, or foreign equivalent, in Statistics, Mathematics, Economics, Actuarial Science or a related field plus two 2 years of experience in the job offered or a related field Position also requires demonstrable experience with each of the followingbr Data preparation, including data extraction and manipulation skills, EDA Exploratory Data Analysis, transformations;br Experience of model evaluation, validation and testing; Understanding of theory of model validation methods, including gain chart, liftdual lift chart, auction, confusion matrix, precision, recall, f1score, cross validation;br Machine learning methodologies including Generalized Linear Model, Support Vector Machine, Random Forest, or Gradient Boosting Machine;br Programming languages including R, Python andor SQL;br Descriptive and Predictive analytic techniques and statistical diagnoses of models including multicollinearity detection, outlier detection, overfitting assessment, and residual analysis; andbr Processing, manipulating, and modeling data including extracting large amounts of data from relational database and merging.br br Telecommuting permitted up to 40br Any suitable combination of education, training, or experience is acceptable.
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