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Mathematical Technician

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What You Need to Know About Mathematical Technician

Career 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.

What Do Mathematical Technicians Do On a Daily Basis?

  • Apply standardized mathematical formulas, principles, and methodology to the solution of technological problems involving engineering or physical science.
  • Process data for analysis, using computers.
  • Translate data into numbers, equations, flow charts, graphs, or other forms.
  • 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.
  • Modify standard formulas so that they conform to project needs and data processing methods.
  • Mathematical Engineering Technician
  • Mathematics Technician
  • Weight Analyst

Are There Job Opportunities for Mathematical Technicians?

In 2016, there was an estimated number of 600 jobs in the United States for Mathematical Technician. There is little to no growth in job opportunities for Mathematical Technician.


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.

Tools & Technologies Used by Mathematical Technicians

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++


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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