Data scientists help companies collect, analyze, and interpret large data sets and develop data-driven solutions to difficult business challenges. This role is critical to any company looking to learn from past and present performance, and project future trends. Data scientists are analyzers and innovators who extract meaning from and interpret data using tools and methods from statistics and machine learning.
They must be analytical and excellent problem-solvers, with an extensive background in data mining, statistical analysis, pattern recognition and predictive modeling. They collect and clean data, develop mathematical models, and building machine-learning algorithms, as well as present information to non-scientists and collaborate with engineers and IT teams to understand company needs.
Data scientists are often required to have a master’s degree in computer science, statistics, applied math or a related field. Positions for all mathematicians and statisticians are expected to increase 30% between 2018 and 2028, which is much faster than average. Demand will be driven by the need to analyze an ever-increasing volume of digital and electronic data.