Bachelors degree or foreign equivalent in Business Administration, any STEM field, or a related field. Must have 1 year of related work experience in the job offered or in a related occupation. Position requires 1 year of related work experience in each of the followingbr br Developing business solutions leveraging emerging automation, cognitive, and machine learning tools, including Pandas, NumPy, scikitlearn, and TensorFlow;br Helping to provide industry insight and analytical support using data mining, pattern matching, data visualization, and predictive and statistical modeling, using Natural Language Processing NLP, text analytics, Python, and R;br Designing and implementing reporting and visualization for unstructured and structured data sets, utilizing Google charts, Tableau, and Power BI Business Intelligence;br Performing data analysis, including inspecting, cleansing, transforming, and modeling, for enabling data mining and resolving data mapping and data modeling issues, using Python and R;br Providing an understanding of statistical methods, probability theory, econometrics, timeseries, and primary statistical tests for the client, in order to solve business problems;br Performing analytical, programmatic, strategic, and operational analysis, and explaining analytics model behavior and results to business;br Collaborating with data science techniques and libraries to show datas applicability to business problems, and performing exploratory data analysis to define analytical models, utilizing NumPy, Pandas, TensorFlow, and SciPy; andbr Building reports and data models in Excel, Python and R, based on performance measurement metrics, allowing for business and technical users to provide insights into the organizations data.
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