How do they match: Data Scientists

  • Data Scientists

  • Applied Scientist
  • Data Science Director
  • Data Science Engineer
  • Data Science Manager
  • Data Science and Analytics Manager
  • Data Scientist
  • Data Analytic Scientist
  • Data Analytics Scientist
  • Data Management Scientist
  • Machine Learning Scientist
  • Machine Learning Data Scientist
  • Marketing Data Scientist
  • Research Scientist

  • 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.
  • Propose solutions in engineering, the sciences, and other fields using mathematical theories and techniques.
  • Read scientific articles, conference papers, or other sources of research to identify emerging analytic trends and technologies.
  • 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.
  • Develop scientific or mathematical models.