In the Air Force:
Operations Research Analyst; Operations Research Analyst, ABM; Operations Research Analyst, Bomber; Operations Research Analyst, Fighter; Operations Research Analyst, General; Operations Research Analyst, RPA; Operations Research Analyst, Tanker; Operations Research Analyst, Trainer; Software Development Officer, Data Scientist; Software Development Officer, Product Manager; Software Development Officer, Software Engineer
In the Army:
Cyber Capabilities Developer Technician; Operations Research/Systems Analysis; Trained Operations Research/System Analysis (ORSA)
Whether they’re revolutionizing baseball, winning big on Wall Street, or predicting healthcare trends, 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. Clinical data managers collect data from medical research projects, analyze it for trends, and ensure that it’s kept secure and reported accurately. Corporate research and development also employs many statisticians. They may design experiments and analyze experimental data for product testing or to 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.
What they do:
Develop and implement a set of techniques or analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software. Apply data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets. Visualize, interpret, and report data findings. May create dynamic data reports.
On the job, you would:
Analyze, manipulate, or process large sets of data using statistical software.
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
Knowledge information for this career will be available soon.
Skills information for this career will be available soon.
Abilities information for this career will be available soon.
Information for this career will be available soon.
You might use software like this on the job:
Data base user interface and query software
Amazon Web Services AWS software
Structured query language SQL
Object or component oriented development software
Data base management system software
Get started on your career:
New job opportunities are very likely in the future.