Data Scientist

Data Scientist

Develop solutions to loosely defined business problems by leveraging pattern detection over potentially large datasets; Create data architectures and develop dashboards using business intelligence platforms; Identify what data are available and relevant, including internal databases and external data sources; Develop experimental design approaches to validate data or findings; Validate analysis by comparing appropriate samples; Prepare special management reports by compiling, evaluating, interpreting, and reporting on current and projected results of operational/financial/administrative activities; Document and effectively communicate with technical and non-technical staff to gain business process requirements; Contribute to team effort by performing highly detailed work on multiple concurrent projects and tasks under strict deadlines; Define the validity of the information, how long the information is meaningful, and what other information it is related to; Collaborate with the data owners to ensure that the information used follows the compliance, access management, and control policies and that it meets the qualification and assurance requirements; Recommend ongoing improvements to methods and algorithms that lead to findings, including new information; Present and depict the rationale of their findings in easy to understand terms; Provide business metrics for the overall project to show improvements (contribution to the improvement should be monitored initially and over multiple iterations); Demonstrate clarity, accuracy, precision, relevance, logic, significance, and fairness; Provide on-going tracking and monitoring of performance of decision systems and statistical models; and Present and convey statistical and computational findings to the public in a comprehensible manner.