Data scientists are experts at interpreting large amounts of raw data. Sometimes this information may initially be very unorganized, seem unrelated, or be generally hard to interpret. It is the job of a data scientist to analyze and synthesize it into findings and results that are more easily understood. In order to do this, data scientists must be knowledgeable in machine-learning, converting data into various forms, and using and creating algorithms to solve problems. These professionals often need to be proficient in various computer programming languages and also need to be capable of performing advanced statistical analysis. They may be in charge of using data sets to try and solve real-world problems faced by businesses and organizations, like how to make the production of a product more cost-effective, or how to implement new company healthcare policies.
In addition to the data and technology side of their job, data scientists are often members of teams and may be in charge of relaying their data-based findings to non-technology professionals. In presenting data, these scientists may make use of graphs and charts for visually representations. Having the ability to clearly communicate their findings in non-technical terms is very important, as data scientists may work closely with other company executives and managers.