NOTE to Analyst The Employer will accept a Masters degree or higher orbr foreign educational equivalent in Data Science, Data Analytics, Businessbr Analytics, Information Systems Management, or relevant technical discipline.br The Employer will also accept any job title or position where employee gainedbr industry, academic, andor research experience in the skills listed below.br br One year of industry, academic, andor research experience, gained at anybr time, which must have involved providing programming support to data sciencebr projects and tasks that may include data visualization, predictive analysis,br machine learning, and natural language processing; applying a wide array ofbr advanced data mining techniques including supervised and unsupervisedbr methods, dimension reduction methods, and social network analysis methods inbr support of research and operational analytic projects; working with Webbr Developers to build intelligence into customerfacing and internal smartbr applications; constructing datasets and preparing data files from variousbr sources; interpreting data outputs and article findings; and assessing thebr effectiveness and accuracy of new data sources and data gathering techniques.br Must have solid oral, written, and presentation communication skills tobr efficiently communicate across a global organization where success is highlybr dependent on collaboration and effective communication. May work from home 2br days per week.
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