This session focuses on effective scheduling and configuration of jobs on the ALCF's Theta supercomputer to improve user experience. After a brief overview of the Cobalt scheduler, we describe best practices for writing batch scripts, working interactively, such as with Jupyter notebooks, and considerations that affect queue turnaround time. We present example scripts for common simulation, data, and learning workloads, such as utilizing SSDs for local storage, using Singularity to run containerized jobs, and launching ensemble runs. We also show how high-throughput workloads can leverage Balsam to launch many applications per Cobalt job.