In searching for dark matter, liquid xenon detectors have unparalleled sensitivity. This project estimates detection rates for light dark matter particles scattering off electrons in xenon. It implements models in Python to calculate event rates both as a function of the recoiling electron’s energy and of the number of electrons detected. The generated signal model can then be compared to real detector data to verify a detection or set an exclusion limit.