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Mathematical Technician

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What is a Mathematical Technician?

Job Description: Apply standardized mathematical formulas, principles, and methodology to technological problems in engineering and physical sciences in relation to specific industrial and research objectives, processes, equipment, and products.

Life As a Mathematical Technician

  • Apply standardized mathematical formulas, principles, and methodology to the solution of technological problems involving engineering or physical science.
  • Process data for analysis, using computers.
  • Modify standard formulas so that they conform to project needs and data processing methods.
  • Confer with scientific or engineering personnel to plan projects.
  • Reduce raw data to meaningful terms, using the most practical and accurate combination and sequence of computational methods.
  • Translate data into numbers, equations, flow charts, graphs, or other forms.
  • Mathematical Engineering Technician
  • Weight Analyst
  • Mathematics Technician

Job Demand for Mathematical Technicians

There were about 600 jobs for Mathematical Technician in 2016 (in the United States). There is little to no growth in job opportunities for Mathematical Technician.

Forecasted Number of Jobs for Mathematical Technicians in U.S.

The states with the most job growth for Mathematical Technician are Texas, Idaho, and Washington. Watch out if you plan on working in Washington, Idaho, or Texas. These states have the worst job growth for this type of profession.

What Tools do Mathematical Technicians Use?

Below is a list of the types of tools and technologies that Mathematical Technicians may use on a daily basis:

  • Microsoft Excel
  • Microsoft Word
  • Microsoft Office
  • Microsoft PowerPoint
  • Microsoft Access
  • Data entry software
  • Structured query language SQL
  • The MathWorks MATLAB
  • SAS
  • IBM SPSS Statistics
  • R
  • Minitab
  • C
  • Graphics software
  • Wolfram Research Mathematica
  • Maplesoft Maple
  • Data mining software
  • C++

References:

Image Credit: Steven G. Johnson via Creative Commons Attribution-Share Alike 3.0 Unported

More about our data sources and methodologies.

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