Customizing scatter plots in matplotlib enhances data visualization. Key features include changing marker shapes with the 'marker' parameter, adjusting colors using the 'c' parameter and colormaps, and modifying point sizes with the 's' parameter. Transparency can be managed with 'alpha' for overlapping points. Proper labels and gridlines improve clarity.