This paper provides a unique application of propensity score matching in the context of an evaluation of a Federal Scholarship for Service (SFS) program. This multi-year program has awarded over 2,000 bachelor's, master's, and PhD scholarships to students who have fulfilled their employment requirement at a Federal laboratories or facilities. This research assesses whether scholarship recipient outcomes, specifically worker retention and promotion, surpass those of other Federal Science and Technology (S&T) employees. We used data from the Federal workforce dataset to compare scholarship recipients with other Federal employees. We will discuss which characteristics were used to design the propensity score matching model. Additionally, results from a Cox Proportional Hazard model, the corresponding survival curves, and their impact in the propensity score matching model will also be discussed in the context of workforce retention.