We seek applicants who enjoy an entrepreneurial environment and have a keen interest in big data, statistics, and machine learning. Our analysts work in small, collaborative teams to serve a variety of industries, particularly healthcare. We offer both internal training on all our groundbreaking analytic tools.Responsibilities:- Prepare data for analysis and use machine-learning technology to produce predictive insights. – Collaborate with co-workers and clients to understand problems and develop analytic solutions. – Manage multiple high-priority tasks that have competing deadlines.- Clearly and effectively communicate through multiple mediums, both internally and to clients. – Stay apprised of current and emerging trends in applied mathematics, statistics, and machine learning.Qualifications:- U.S. citizenship required.- Bachelor’s degree or higher in Applied Mathematics, Statistics, Engineering (e.g., Computer, Electrical, Network), or a related discipline. – One or more years of work experience, including internships, developing analytic models. – Proficiency with statistical tools (e.g., R, SAS, MATLAB). – Experience with programming languages (C++, Java, Python); cloud-based systems (e.g., AWS); and relational (e.g., SQL) and non-relational databases (e.g., graphical databases). – Demonstrated ability to work independently, apply creativity, and rapidly learn new skills. – Excellent verbal and written communication skills.