The type of math used depends on the job and level. Probability theory and statistics are high on the list of skills a good data scientist needs to have. Other crucial areas include discrete mathematics, calculus, and linear algebra. Most machine learning segments are heavily based on linear algebra and use matrices to process data with many variables. When it comes to calculus, most data scientists deal with gradients and derivatives.