Requires a Masters degree in Computer Science, Statistics, Mathematics, or related quantitative discipline or foreign equivalent.br br Requires Education, training, andor experience withbr 1 Cloud solution or local computer to clean data;br 2 Statistical tests such as ttest, correlation to conduct data analysis;br 3 Classification kmeans clustering and support vector machines;br 4 Bayesian and statistical models such as linear regression and logistic regression;br 5 Advanced machine learning models like decision trees, boosting methods, random forests models to solve critical business problems;br 6 Deep learning and neural networks;br 7 Time Series ARp model and ARCH model;br 8 SQL Database;br 9 Statistical Computing Tools R and Python.br br Telecommuting is permissible.
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