Abstract : This study analyzes data science job salaries from 2020 to 2024, focusing on how various factors such as experience levels, employment types, job titles, remote work arrangements, and company size influence compensation. The dataset comprises 14,838 records of data science jobs, providing insights into salary trends over the years. Results indicate a general increase in average salaries, with the highest growth observed in 2023. Experience level significantly affects compensation, with executive-level roles earning nearly double the salary of entry-level positions. Job titles such as AI Architect and AI Engineer command the highest salaries, highlighting the premium placed on specialized skills within the data science field. Fully on-site and remote work arrangements offer higher salaries compared to hybrid models. Medium-sized companies provide the most competitive salaries, followed by large companies. These findings provide valuable insights for both data science professionals and employers in understanding market trends and shaping effective compensation strategies.