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Data Analytics Developer

  • Develop strategies for effective data analysis and reporting. Selects, configures, and implements analytical solutions.
  • Develop and implement data analytics, data collection systems, and other strategies that optimize statistical efficiency and quality.
  • Identifies, analyzes and interprets trends or patterns in complex data sets.
  • Monitor performance and quality control plans to identify performance. Works on problems of moderate and varied complexity where analysis of date may require adaption of standardized practices.
  • Analyze spend data sets, transform data, and implement algorithms using toolkits TensorFlow and Python to create machine learning models that help solve taxonomy classification.
  • Analyze and improve stability, efficiency, reliability of the spend classification data sets.
Education Requirement:Bachelor’s Degree in Computer Science, Information technology, a closely related field, or a combination of education and experience equating to the U.S. equivalent of a Bachelor’s degree in one of the aforementioned subjects.

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