Must have advanced level coursework or project background in the followingbr 1. Determining how to import, clean and transform the data given a raw dataset.br 2. Using available tools to create data visualizations and summaries.br 3. Identifying patterns or relationships in a dataset, and building and interpreting models.br 4. Identifying a machine learning model and algorithm.br 5. Implementing a variety of supervised machine learning approaches.br 6. Interpreting the results, and communicating the desirable properties for the approach, the underlying assumptions and possible limitations.br 7. Implementing unsupervised machine learning or data mining approaches.br 8. Mathematical, statistical and computational underpinning of unsupervised learning models and algorithms.br Position permits telecommuting.
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