In this role, you may assist business units with casual inferences and observations with finding patterns, relationships in data, develop software, algorithms and applications to apply mathematics to data, perform large scale experimentation and build data driven apps to translate data into intelligence, solve a variety of business problems and enable business strategy, inform, influence, support, and execute business decisions and product design, analyze and explore data to help discover hidden business insights in the data. It may also involve development of complex queries using stored procedures and similar methods, as well as design, develop, and implement high performance and easy-to-use data visualization functionality, and automation scripts.
Ours is a culture of innovation and diversity, where everyone is given a place in the conversation based on the merits of their technical argument. If you are looking for a place to make a real impact and begin a fruitful career, this is the place for you.
An ideal candidate would exhibit behavioral traits that indicate:
strong analytical mind with problem solving skills
ability to work independently and manage stakeholders
ability to deal with ambiguity in defining activities and direction
passion for the job
high motivation with a strong work ethic
good planning skills
excellent written and verbal communication skills
You must meet the qualifications to be considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates. Experience listed below would be obtained through a combination of your school work, class course work, research, relevant previous job and/or internship experiences. Upon applying for this opportunity, you will also be considered for other similar opportunities available.
Degree in Computer Science, Electrical Engineering or any related fields (i.e. Statistics, applied Mathematics, Computational Neuroscience
machine learning and statistical approaches, and experience applying them
deep learning, machine learning and/or big data
program languages such as Python, Perl, Java, and/or C++
designing professional software using Python/C++
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