There are many jobs that use a great deal of mathematics. Many of these are in the field of engineering, where mathematical skills are used to solve complex problems. Other jobs that use mathematics extensively include finance and accounting, as well as positions in research and development.
Computer Programmer: $84,280
Computer programmers use math every day to solve various problems. They often work with algorithms, which are sets of instructions for computers to follow. To write an effective algorithm, a programmer needs to be able to understand and analyze complex mathematical concepts.
Programmers also need to be able to effectively communicate with others on their team, as well as customers or clients. Good communication skills are essential in order to explain technical information in a way that non-technical people can understand.
In addition to the above, computer programmers also need strong problem-solving skills. They need to be able identify issues and come up with creative solutions. Often times, there is more than one way to solve a problem; it is up to the programmer to determine the best course of action.
Medical Scientist: $84,810
Medical scientists conduct research aimed at improving overall human health. They use their scientific expertise to design and carry out studies, develop new experimental techniques, and analyze data. Many medical scientists work in private companies, but others work in universities, hospitals, or government agencies.
Most medical scientists have a Ph.D., although some have a master’s degree in public health or another related field. In addition to completing advanced coursework in their field of study, medical scientists must also complete an internship and several years of postdoctoral research before they can be considered for jobs in this field.
While most medical scientists conduct basic research that contributes to our understanding of human health and disease, some also apply their knowledge to the development of new treatments and therapies. Medical scientists who are involved in clinical trials may work with patients to test new drugs or devices. Those who work in pharmaceutical companies may help develop new medications or oversee the manufacturing process. And those who work in hospitals may be involved in developing new ways to diagnose and treat illness.
Financial Analyst: $85,660
Financial analysts use math to evaluate investments and calculate financial risks. They must be able to understand complex financial reports and use their skills in math, statistics, and accounting to make recommendations to clients.
Most financial analysts have a bachelor’s degree in business, economics, or finance. However, some employers may prefer candidates who have a master’s degree in business administration (MBA) or a Chartered Financial Analyst (CFA) designation. Financial analysts typically need at least two years of experience working in the financial industry before they can become certified.
The job outlook for financial analysts is positive, with an expected 11% growth in employment from 2019 to 2029.* This growth is due to the increasing complexity of the securities market and the need for more detailed analysis of companies’ prospects and risks.
Statisticians apply mathematical and statistical techniques to collect, analyze, and interpret data. They use their findings to help solve real-world problems in business, engineering, healthcare, or other fields.
Most statisticians have at least a bachelor’s degree in mathematics or statistics. Some jobs may require a master’s degree or higher. Many statisticians also have experience working with computer software programs that are used for data analysis.
Statisticians typically work full time in offices. Some may travel to meet with clients or to collect data.
As the need for better data and analytics grows in all industries, the demand for qualified statisticians is expected to increase much faster than average for all occupations through 2026.* Employment of statisticians is projected to grow 33 percent from 2016 to 2026, which is much faster than the average for all occupations.** The increasing use of big data-large sets of data that can be analyzed using sophisticated software-in all types of businesses will continue to drive demand for these workers
An actuary is a business professional who deals with the measurement and management of risk and uncertainty. The role of an actuary is to assess the financial impact of risk and uncertainty and help clients make informed decisions about how to manage these risks.
Actuaries use their skills in mathematics, statistics, economics, and finance to calculate the probability of future events and quantify the financial impact of those events. They then use this information to help clients make decisions about how to manage risk.
Actuaries are employed by insurance companies, banks, consulting firms, government agencies, and other organizations that need to manage risk. They typically work in office settings, but may travel occasionally to meet with clients or attend conferences.
The job outlook for actuaries is excellent. The U.S. Bureau of Labor Statistics projects that employment in this field will grow 20 percent from 2016 to 2026-much faster than the average for all occupations. This growth will be driven by the increasing need for Risk Management in all types of businesses as well as the expansion of existing actuarial programs
Most people would probably say that mathematicians use the most math out of any profession. However, there are many other jobs that require a great deal of mathematical skills and training. One such profession is that of an economist.
Economists are responsible for analyzing and interpreting economic data. This can involve anything from GDP growth rates to inflation rates to employment figures. In order to do this effectively, economists must be highly proficient in mathematics. They need to be able to understand and work with complex equations and statistical models.
While some economists may not use as much mathematics as a pure mathematician would, the fact remains that they still need a very strong mathematical background in order to be successful in their field. So if you’re good at math and are looking for a challenging and rewarding career, you might want to consider becoming an economist!
Software Developer: $105,590
A software developer is a professional who designs, creates, tests and maintains software applications. They may work in a variety of industries, including the financial sector, healthcare, retail and government.
Most software developers have a bachelor’s degree in computer science or a related field. However, some employers may prefer candidates with a master’s degree or higher. In addition to formal education, most software developers have several years of experience in the field before they are able to land a job as a developer.
The job outlook for software developers is positive, with an expected growth rate of 17% from 2018 to 2028.* This is much faster than the average for all occupations. The demand for new and innovative applications will continue to drive growth in this occupation.
Data Scientist: $121,500
Data scientists are in high demand these days, and it’s no wonder why. They hold a unique combination of skills that are essential for today’s businesses: they’re experts in both statistics and computer science, and they’re able to effectively communicate their findings to non-technical audiences.
As data becomes increasingly important to businesses of all types, data scientists are becoming even more valuable. Their deep understanding of both data and technology allows them to find hidden insights that can be used to improve business decisions and strategies.
If you’re interested in a career as a data scientist, you’ll need to have strong math skills. In addition to taking courses in calculus and linear algebra, you’ll also need to be proficient in statistics. Fortunately, there are many online resources that can help you brush up on your math skills.
Once you’ve got a solid foundation in math, you’ll need to learn how to code. Data scientists use programming languages like R and Python for statistical analysis and machine learning. If you’re not familiar with these languages, don’t worry – there are plenty of online tutorials that can teach you the basics.
Once you have the requisite skillset, it’s time to start looking for jobs! Check out job postings on sites like Indeed or LinkedIn, or search for “data scientist” on Google Jobs. You can also check with your local Chamber of Commerce or Economic Development Board – they may have leads on specific companies that are hiring data scientists in your area.