How do they match: Data Scientists

  • Business Intelligence Developer
  • Analytics Consultant
  • Data Analytic Scientist
  • Data Analytics Scientist
  • Data Analytics Specialist
  • Data Science and Analytics Manager

  • 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.

  • Analyze, manipulate, or process large sets of data using statistical software.
  • Create graphs, charts, or other visualizations to convey the results of data analysis using specialized software.
  • Deliver oral or written presentations of the results of mathematical modeling and data analysis to management or other end users.
  • Identify business problems or management objectives that can be addressed through data analysis.
  • Identify solutions to business problems, such as budgeting, staffing, and marketing decisions, using the results of data analysis.
  • 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.

  • Analyze business or financial data.
  • Analyze data to identify or resolve operational problems.
  • Analyze data to identify trends or relationships among variables.
  • Analyze data to inform operational decisions or activities.
  • Advise others on analytical techniques.
  • Determine appropriate methods for data analysis.
  • Prepare analytical reports.
  • Prepare data for analysis.