An exponential random variable is used to model the time between events in a Poisson process, characterized by its memoryless property, which means that the probability of an event occurring in the future is independent of any past events. It is defined by a single parameter, the rate (λ), and has a probability density function that decreases exponentially, making it ideal for modeling lifetimes and waiting times in stochastic processes.