The successful candidate will collect and analyze quantitative and qualitative data using statistical knowledge, business intuition, advanced analytical ability, machine learning, and data transformation techniques to transform raw data into useful information and solve complex business problems. This individual will develop predictive maintenance algorithms for current and future models, play a pivotal role in the research and development of our data products, drive better and faster decision making for our sales and service centers, and identify actionable insights for our customers while working concurrently with management to make strategic recommendations and business decisions.
A master’s degree with quantitative focus in Econometrics, Statistics, Data Science, Bioinformatics, Operations Research, Quantitative Analysis or a related decision science fields (e.g. Mathematics) plus at least 5 years of related experience is required. Relevant experience using statistical / quantitative modeling and/or machine learning tools (SAS, SQL, R, Python, SAP Predictive Analytics 2.0) with near real time data is preferred. Experience in thought leadership in applying data-driven models that have a tangible impact on business. Experience with newer techniques like tree ensembles, neural nets, natural language processing, clustering, and econometric modeling preferred. Must be well-versed with Microsoft Office suite and possess excellent verbal and written communication skills, with the ability to communicate with all levels of the organization including senior and executive level staff.