The position requires a commitment of 20 hours per week, on average, and involves programming in R, Python, and SQL; applying data science and artificial intelligence (AI) methods (e.g., natural language processing, machine learning, and large language models) to structured and unstructured data; data analytics and visualization. Any offer of employment may be contingent upon receipt of acceptable results from a post-offer background screening, if required for the specific position, which may include, for example, identity verification, employment history, motor vehicle driving record history, and criminal or sexual offender records history.