The primary responsibilities of this role, Data Scientist, are to: Independently perform statistical analysis using a variety of modeling techniques, develop prototype solutions using scientific programming languages, design experiments for validation and testing efficacy of models, and measure impact; Understands business goals, data and methods and their limitations;Works reproducibly by documenting, organizing, and curating data and code; Contributes skill, coaches others, and teaches other members of data science community to increase data fluency; Identifies opportunities for improvement in solving problems for models or project data; Analyzes and presents complex data in a clear manner; Continuously learns and challenges the results through new techniques and experimental approaches; Builds cross-functional relationships to collaboratively partner with the business and effectively network within the Data Science Community; Readily collaborates with subject matter experts, business stakeholders, and other Data Scientists. Skills Required 2+ years relevant experience delivering analytics solutions to complex business problems for MS applicants Theoretical and practical experience in deterministic optimization and algorithm development related to operations management is a requirement, including experience with commercial optimization software (ex. CPLEX or Gurobi) and simulation software (ex. AnyLogic or Simio)Expertise in programming, statistical packages, and database languages (ex. Java, R, Python, Scala, SQL and OPL). Ph.D. in Operations Research, Engineering, Management Science, Mathematics, or other related quantitative discipline
