In the Air Force:
Chemist/Nuclear Chemist; Chemist/Nuclear Chemist, Bomber; Chemist/Nuclear Chemist, General; Chemist/Nuclear Chemist, RPA; Chemist/Nuclear Chemist, Trainer; Maintenance Management Analysis Craftsman; Operations Research Analyst; Operations Research Analyst, Bomber; Operations Research Analyst, General; Operations Research Analyst, Special Operations; Operations Research Analyst, Trainer
In the Army:
Operations Research/Systems Analysis; Research and Engineering; Test and Evaluation
In the Navy:
CWO - Intelligence; CWO - Oceanography Warrant Officer; LDO - Intelligence; LDO - Meteorology/Oceanography; RL - Special Duty Officer (Oceanography); RL - Special Duty Officer - Intelligence Officer; Statistical Data Analyst
Whether they’re revolutionizing baseball, winning big on Wall Street, or predicting an election outcome, statisticians know how to turn data into useful information and tools. Statisticians design surveys and experiments to collect data and create models and algorithms that turn numbers into understandable concepts, identifiable trends and patterns, or conclusions. Startups looking to expand quickly, and well-established businesses alike need the help of statisticians to make decisions. Though they work in many fields, there are some common statistician specializations: Government statisticians monitor wages, the unemployment rate and other important socioeconomic indicators. They analyze data and shed light on trends in the economy, the environment, pollution, and many other national and global arenas. Biostatisticians predominantly work in the healthcare industry. They may design drug studies or study how diseases spread. Corporate research and development also employs many statisticians. They may design experiments and analyze experimental data for product testing or help inform marketing strategies for consumer goods. Most statisticians need at least a master’s degree in statistics, math, or a related field, although some entry-level jobs are available for those with a bachelor’s degree. Is a statistician career for you? If you can calculate the odds, you’re already partway there.
What they do:
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 bio-statistics, agricultural statistics, business statistics, or economic statistics. Includes mathematical and survey statisticians.
On the job, you would:
Analyze and interpret statistical data to identify significant differences in relationships among sources of information.
Identify relationships and trends in data, as well as any factors that could affect the results of research.
Determine whether statistical methods are appropriate, based on user needs or research questions of interest.
Math and Science
arithmetic, algebra, geometry, calculus, or statistics
Arts and Humanities
Engineering and Technology
computers and electronics
using math to solve problems
thinking about the pros and cons of different ways to solve a problem
noticing a problem and figuring out the best way to solve it
People and Technology Systems
thinking about the pros and cons of different options and picking the best one
figuring out how a system should work and how changes in the future will affect it
choose the right type of math to solve a problem
add, subtract, multiply, or divide
communicate by speaking
communicate by writing
Ideas and Logic
make general rules or come up with answers from lots of detailed information
use rules to solve problems
see hidden patterns
People interested in this work like activities that include data, detail, and regular routines.
They do well at jobs that need:
Attention to Detail
You might use software like this on the job:
Analytical or scientific software
The MathWorks MATLAB
Object or component oriented development software
Data base user interface and query software
Structured query language SQL
master's degree or doctoral degree usually needed
Get started on your career:
New job opportunities are very likely in the future.