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Responsibilities Description:
Responsible for the development and implementation of machine learning algorithms and techniques to solve business problems and optimize member experiences. Primary duties may include are but not limited to: Design machine learning projects to address specific business problems determined by consultation with business partners. Work with data-sets of varying degrees of size and complexity including both structured and unstructured data. Piping and processing massive data-streams in distributed computing environments such as Hadoop to facilitate analysis. Implements batch and real-time model scoring to drive actions. Develops machine learning algorithms to build customized solutions that go beyond standard industry tools and lead to innovative solutions. Develop sophisticated visualization of analysis output for business users.
Experience Requirements:
BS/MA/MS/PhD in Statistics, Computer Science, Mathematics, Machine Learning, Econometrics, Physics, Biostatistics or related Quantitative disciplines. 5 years experience in predictive analytics and advanced expertise with software such as Python, or any combination of education and experience which would provide an equivalent background. Experience leading end-to-end data science project implementation. Experience in the healthcare sector. Experience in Deep Learning strongly preferred.
Required Technical Skill Set:
RADCube is a technology consulting company providing technology solutions and implementation services. Our focus is on big data and analytics, intelligent applications development, enterprise integrations, and project implementation solutions. We utilize state of the art tools, technologies and subject matter expertise to create breakthrough business impacts by targeting innovation opportunities and by managing change effectively. We provide industry-specific technology services in Healthcare and Life Sciences, Insurance, Banking, Construction, Manufacturing, Government, Finance, Transportation and Logistics.