eMASCO

Recent Searches

Major Group

Professionals

Sub-Major Group

Science And Engineering Professionals

Minor Group

212

Mathematicians, Actuaries And Statisticians

Unit Group

2121

Mathematicians, Actuaries And Statisticians

Small Unit Group

MASCO Code

2121-02

Compare

Mathematician

STEM

Mathematician conduct research and improve or develop mathematical, actuarial and statistical concepts, theories, operational methods, and techniques, and advise on or engage in their practical application in fields such as engineering, business, social and other sciences. Mathematicians work in various industries, including finance, scientific research, software development, and insurance.

Alternative Names

Mathematician, Applied Mathematics

Mathematician, Actuarial Science

Mathematician, Pure Mathematics

Tasks

Developing mathematical or statistical models to analyze data

Using mathematical formulas and models to prove or disprove theories

Using data analysis to support and improve business decision.

Applying mathematical theories and techniques to solve practical problems in business, engineering, the sciences, or other fields

Expands knowledge in mathematical areas, such as algebra or geometry, by developing new rules, theories, and concepts

K
Financial And Insurance /Takaful Activities
G
Wholesale And Retail Trade, Repair Of Motor Vehicles And Motorcycles.
M
Professional, Scientific And Technical Activities
C
Manufacturing
D
Electricity, Gas, Steam And Air Conditioning Supply

0311
Economics
0541
Mathematics
0542
Statistics

Skills

Basic

Critical Thinking

Proficiency in using logic and reasoning to identify the strengths and weaknesses of alternative solutions, conclusions or approaches to problems.

Mathematics

Proficiency in using mathematics to solve problems.

Reading Comprehension

Proficiency in understanding written sentences and paragraphs in work related documents.

Active Learning

Proficiency in applying new knowledge.

Complex Problem Solving

proficiency in identifying complex problems and reviewing related information to make assessments and implement solutions.

Specific

Data Analysis

proficiency in inspecting, cleansing, transforming and modelling data to get useful information, suggesting conclusions and supporting decision-making.

Analytics

ability to deconstruct information into smaller categories in order to draw conclusions.

Data Entry

proficiency in entering information into a computer or data-recording system using an electronic or mechanical device.

Data Visualization

proficiency in representing of data or information in a graph, chart, or other visual format.

Data Mining

proficiency in discovering patterns in large data sets involving methods at the intersection of machine learning and statistics.

Related Courses