Machine Learning Scientist

Job Description Research, design and prototype novel models based on machine learning, data mining, and statistical modeling to solve problems in the healthcare industry ranging from exploratory to highly applied Keep abreast of the latest developments in the field by continuous learning and proactively champion promising new methods relevant to the problems at hand Collaborate with university partners and other scientists and engineers in a multidisciplinary work environment Work with business teams to develop and help commercialize robust models Qualifications Required Skills: 2+ years of experience with developing scalable algorithms that apply machine learning, artificial intelligence, and deep learning techniques 7+ years of total experience with predictive analytics, operations research, and software development Experience with using one or more of the following frameworks or tools: Python, R, or SAS Experience with data mining techniques for large-scale datasets, including both structured and unstructured data Experience with data and analytics solution delivery that address strategic business problems Experience as an effective communicator with clients and software teams in translating client needs into solutions Ability to be a self-starter with initiative and present complex information to non-technical audiences Prior experience with medical imaging standards and technologies is a strong plus Benefits Our Benefits package includes an attractive performance based bonus, medical, dental and vision insurance, vacation pay, books and periodicals reimbursement, certification test fee reimbursement, etc among many others. At Saince we celebrate diversity among our workforce. We believe diversity benefits our company, our employees and the society at large. Saince is proud to be an equal opportunity workplace and all hiring decisions are made purely on the basis of merit, qualification, prior experience and business needs. #J-18808-Ljbffr