Associate Modeler: Data-Driven Regional Planning (Hybrid)

A regional planning organization in California is seeking a skilled Associate Modeler to enhance the Scenario Planning Model. This role involves preparing transportation datasets, conducting analyses, and developing model insights to influence policy decisions. Ideal candidates will have expertise in programming languages such as Python and PostgreSQL, in addition to strong analytical skills. The position supports hybrid work and emphasizes collaboration within teams to address regional planning challenges effectively. #J-18808-Ljbffr