We live in a forest of data. Data scientists are trained to see the individual trees in that forest, to recognize the patterns they form and form insights that drive decision making.
In finance, data scientists contribute to creating viable financial products, building financial models, and managing risk. Using machine learning, they can build algorithms to predict the probability of a loan default or extract insights from gigabytes of data.
But data scientists play an increasingly important role in a wide range of enterprises. They help companies solve puzzles in product development, business planning, sales, and customer acquisition. In the tech sector, they use statistical modeling to identify and forecast trends and directions.