Responsibilities Determine how data science methods can be best used to solve problems or enhance the business Maintain relationships between business-area clients, business intelligence and IT so all teams are aligned to meet team objectives Develop predictive and prescriptive statistical or behavioral models Develop and collect data for ad hoc and statistical analyses Identify methods that allow continuous and automated statistical testing to enhance the predictability of deployed models Work with Project Managers to develop detailed project timelines Summarize and present conclusions and solutions Communicate complex analyses clearly to all audiences Requirements Master’s degree or above in computer science, statistics, applied mathematics, operations research, engineering, economics, social sciences or a similar field Four years of experience providing predictive and prescriptive analytics within a business setting One year of data-science implementation experience within a business setting Advanced experience with statistical, econometric or data-mining tools and methods Experience with linear models (linear regression, generalized linear regression, logistic regression), and nonlinear modeling techniques Knowledge of advanced nonlinear techniques, including smoothing and ensemble methods Working knowledge of relational databases and standard SQL query methods Proficiency in at least one general programming language such as Python, Java or C/C++ Experience working with big data, preferably within a Hadoop environment, or with R, SAS or other statistical packages Experience with data visualization tools and time series Excellent benefits package that includes a 401(k) match, medical/dental/vision, and much more Opportunities to participate in professional and personal development programs, including personal empowerment coaching, leadership training and ongoing personal growth training Other incentives, contests and rewards, including trips, event tickets, cash prizes, and more