Data Science

Research and develop software solutions for data analysis and implement new solutions as needed for specific analysis.Drive the process of designing and building data ingestion and analysis solutions to help analysts identify patterns and find and answer important questions.Drive the development of ingest processes for new data and the refinement of existing data sources.Improve data integration by designing and evaluating new data interchange formats.Study data sources by interviewing users; defining, analyzing, and validating data objects; identifying the relationship among data objects.Develop solutions to assist analysts in answering questions with available data by providing ways to export data in formats appropriate for their statistical techniques, algorithm design, modeling, and optimization.Plan the data integration process by developing common definitions of sourced data; designing common keys in physical data structure; establishing data integration specifications; examining data models; determining best-fit data interchange methods; assessing tools for data integration, transformation, and routing.Deliver data integration by implementing shared databases; developing system modification specifications; mapping data; establishing interfaces; developing and modifying functions, programs, routines, and stored procedures to export, transform, and load data; meeting performance parameters; resolving and escalating integration issues.Communicate findings in lay terms to product managers, engineers, and other stakeholders.Analyze data from a variety of structured and unstructured data sources.

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