Data Scientists

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.

Occupation-Specific Information

Tasks

  • Analyze, manipulate, or process large sets of data using statistical software.
  • 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.
  • Clean and manipulate raw data using statistical software.
  • Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.

Occupational Requirements

Detailed Work Activities

  • Advise others on analytical techniques.
  • 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.
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