An Urban Data Science job involves analyzing data related to cities, infrastructure, and human behavior to improve urban planning, transportation, sustainability, and public services. Professionals in this field use machine learning, geographic information systems (GIS), and statistical modeling to interpret urban data from sources like sensors, social media, and administrative records. Their insights help city planners, policymakers, and businesses make data-driven decisions that enhance efficiency, equity, and livability in urban environments.