Entity: Oracle America, Inc.
Job Duties: Designs, develops and programs methods, processes, and systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions for client services and product enhancement. Interacts with product and service teams to identify questions and issues for data analysis and experiments. Develops and codes software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources. Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers. May telecommute. (385.29279)
Employer will accept a Master’s degree in Computer Science, Analytics, Engineering, or a related technical field. Position requires:
1. Machine learning methods including classification, clustering and deep learning;
2. Machine learning algorithms including Support Vector Machines, Decision Tree and Random Forests;
3. Building predictive models, including regression techniques including univariate or multivariate analyses and Statistics and Probability techniques including Bayesian methods;
4. Modeling and formulating optimization problems and optimization algorithms for solving linear and non-linear optimization problems;
5. Analytic/statistical programming languages including R or Python; and,
6. Commercial mathematical programming solvers, such as Gurobi.
Career Level - IC3
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Disclaimer:
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Yearly based
Austin, TX, United States