DataScientist

Data Scientist **Description -** **Job Summary** • This role is responsible for analyzing and interpreting complex data sets using statistical techniques to identify trends, patterns, and insights that can be used to form business decisions and improve organizational performance. The role designs and develops methods, processes, and systems to consolidate and analyze unstructured, diverse big data sources to generate actionable insights and solutions. The role develops programs, algorithms, and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources. **Responsibilities** • Oversees data mining using modern tools and programming languages. • Develops predictive and prescriptive models of moderate complexity to surface insights; drives action, defines success measures and tracks performance of models. • Drives the implementation of models to uncover patterns and predictions creating business value and innovation. • Partners with data engineering teams across multiple business lines to build data pipelines, improve data assets, quality, metrics, and insights. • Creates visualizations and other forms of communication that effectively showcase insights and findings to both technical and non-technical audiences. • Leads a project team of data science professionals and provides guidance, training and mentoring to less experienced staff members. • Collaborates and communicates with project team regarding project progress and issue resolution. • Represents the data science team for all phases of larger and more-complex development projects. • Identifies and recommends improvement upon existing methodologies by developing new data sources, testing model assumptions, and fine-tuning model parameters. • Maintains proficiency within the data science domain by keeping up with technology and trend shifts. ****Education & Experience** Recommended** • Four-year or Graduate Degree in Mathematics, Statistics, Economics, Computer Science, D