Data Scientist

Supports the design and development of program methods, processes and systems to consolidate and analyze structured and unstructured, diverse "big data" sources Supports ad-hoc statistical and data mining analysis, using statistical tools like R, SAS and MATlab Interfaces with internal customers for requirements analysis and compiles data for scheduled or special reports and analysis Supports project teams to develop analytical models, algorithms and automated processes, applying SQL understanding and PHP or Python programming, to cleanse, integrate and evaluate large datasets. Supports the timely development of products for manufacturing and process information by applying sophisticated data analytics Requires knowledge and experience in own discipline; still acquiring higher-level knowledge and skills. Builds knowledge of the company, processes and customers. Solves a range of straightforward problems. Analyzes possible solutions using standard procedures. Receives a moderate level of guidance and direction.