How do they match: Statisticians

  • Statisticians

  • Statistical Analyst
  • Statistical Consultant
  • Statistical Data Analyst
  • Statistical Engineer
  • Statistical Programmer
  • Statistical Reporting Analyst
  • Statistician
  • Analytical Statistician
  • Applied Statistician
  • Environmental Statistician
  • Mathematical Statistician
  • Research Statistician
  • Sports Statistician
  • Survey Statistician
  • Time Study Statistician

  • Develop or apply mathematical or statistical theory and methods to collect, organize, interpret, and summarize numerical data to provide usable information. May specialize in fields such as biostatistics, agricultural statistics, business statistics, or economic statistics. Includes mathematical and survey statisticians.

  • Adapt statistical methods to solve specific problems in many fields, such as economics, biology, and engineering.
  • Analyze and interpret statistical data to identify significant differences in relationships among sources of information.
  • Apply sampling techniques, or use complete enumeration bases to determine and define groups to be surveyed.
  • Design research projects that apply valid scientific techniques, and use information obtained from baselines or historical data to structure uncompromised and efficient analyses.
  • Determine whether statistical methods are appropriate, based on user needs or research questions of interest.
  • Develop software applications or programming for statistical modeling and graphic analysis.
  • Evaluate the statistical methods and procedures used to obtain data to ensure validity, applicability, efficiency, and accuracy.
  • Evaluate sources of information to determine any limitations, in terms of reliability or usability.
  • Examine theories, such as those of probability and inference, to discover mathematical bases for new or improved methods of obtaining and evaluating numerical data.
  • Plan data collection methods for specific projects, and determine the types and sizes of sample groups to be used.
  • Prepare data for processing by organizing information, checking for inaccuracies, and adjusting and weighting the raw data.
  • Present statistical and nonstatistical results, using charts, bullets, and graphs, in meetings or conferences to audiences such as clients, peers, and students.
  • Process large amounts of data for statistical modeling and graphic analysis, using computers.
  • Report results of statistical analyses in peer-reviewed papers and technical manuals.
  • Report results of statistical analyses, including information in the form of graphs, charts, and tables.

  • Apply mathematical principles or statistical approaches to solve problems in scientific or applied fields.
  • Design research studies to obtain scientific information.
  • Implement security measures for computer or information systems.
  • Prepare graphics or other visual representations of information.
  • Supervise information technology personnel.
  • Update knowledge about emerging industry or technology trends.
  • Write computer programming code.