How do they match: Data Scientists

  • Applied Scientist
  • Data Engineer
  • Data Science Engineer
  • Machine Learning Engineer

  • Develop and implement a set of techniques or analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software. Apply data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets. Visualize, interpret, and report data findings. May create dynamic data reports.

  • Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
  • Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
  • Analyze, manipulate, or process large sets of data using statistical software.
  • Clean and manipulate raw data using statistical software.
  • Create graphs, charts, or other visualizations to convey the results of data analysis using specialized software.
  • Propose solutions in engineering, the sciences, and other fields using mathematical theories and techniques.
  • Write new functions or applications in programming languages to conduct analyses.

  • Apply mathematical principles or statistical approaches to solve problems in scientific or applied fields.
  • Write computer programming code.