Knowledgent Group Inc.
Knowledgent is a data intelligence company that innovates IN and THROUGH data. We eat, sleep, and breathe data to enable advanced and agile analytics, digital enterprise, and robotics. We combine our data and analytics expertise with business specific domain knowledge. We are Informationists that are passionate about data. With offices in New York City, Boston, Toronto, and Warren, NJ, Knowledgent works with organizations in the Life Sciences, Healthcare, Financial Services, Products, and Services industries. Knowledgent was recently recognized in Gartner\u2019s \u201cMarket Guide for MDM External Service Providers\u201d for 2017, named a \u201cTop 50 Innovative Company to Watch\u201d by Silicon Review Magazine, and awarded the \u201c2017 Excellence in Social & Community Investment Award\u201d by Consulting Magazine. For more information, visit www.knowledgent.com. Role Description Creation and refinement of models to ensure the team is consistently meeting the projects goals\/end-point Develop Insights to be presented to management on the strength of the predictions being developed Required Functional\/Technical Skills and Experience Data scientist with a solid foundation in statistical and machine learning, methodologies and experience including predictive modeling in customer and marketing analytics Education Requirement: Bachelor Degree or equivalent work experience
Knowledgent Group Inc.
Website : http://knowledgent.com
Knowledgent is a purpose-built Industry Information Consultancy that provides advanced Information Management and Analytical (IM&A) solutions with industry-specific specialization in Financial Services, Life Sciences, Healthcare and Commercial markets. Knowledgent was founded with the mission to help an enterprise become more information centric. We chose this mission because while information has been recognized as a strategic corporate asset, its importance has now reached an inflection point: corporations that don’t learn to innovate through information and compete on analytics will be left behind by those that do. Extreme volumes of data are now being generated by systems, machines and the Internet, representing an unexplored ocean of data with unlimited potential. Mining this data can produce highly instructive predictions about products, markets, customers and human behaviors.