Duties: Apply data science techniques to solve business problems across a broad range of data analysis functions including predictive analysis, data modeling, visualization, and data profiling; Utilize multiple sources of data, including structured and unstructured data, along with broad range of machine learning techniques to improve insights of the models; Support the development of new modeling techniques and procedures; Develop and maintain high-quality, robust predictive models using advanced analytic techniques
Requirements: Proficiency with a one or more statistical programming languages, applications and data environments (e.g., Python, SQL, R, Tableau); BS/MS or PhD in a statistical, mathematical, or technical field (e.g., computer science, actuarial science); 4+ years of experience in developing and implementing data science techniques