As a generalization of Zadeh's fuzzy set theory, soft set theory was introduced by Molodtsov in 1999. It is a new mathematical tool to deal with uncertainty in a parametric manner. Also, it has a rich potential for applications in several directions. In 2011, Alkhazaleh and Salleh introduced the concept of soft expert sets where the user can know the opinion of all experts in one model. A generalization of the concept of a soft expert set to fuzzy soft expert set was proposed by the same authors. In this work, we propose another hybrid model called spherical fuzzy soft expert set, which will be more sensible and more accurate than existing ones. We also discuss some of its basic properties such as complement, union, intersection AND and OR. Finally, we present a decision-making problem as an application of the spherical fuzzy soft expert sets.