Requires a Masters degree in Data Science, Computer Science, Software Engineering, Economics, Statistics, Applied Math, or a related field. Must have experience with PythonR, MATLAB, AI NotebooksJupyter, or equivalent; SQL or NoSQL databases including writing and debugging complex queries; Statistical algorithms such as linear and logistic regression, decision trees, neural networks, random forests, gradient boosting, SVM; and optimization methods such as Linear Programming, Discrete Event Simulation, Genetic Algorithm, Queuing Theory, Inventory Control models, and practical experience applying to large data sets.
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