DDS iterations may have unknown and/or varying length duration (as compared to traditional Scrum sprints, which are all of a fixed duration). So, teams do to not have to estimate task duration, which is often difficult within a data science context.

Unlike traditional Scrum (which requires accurate task estimations to know what can fit into a sprint), DDS naturally accommodates "T-shirt" high-level task estimations

The entire team focuses on creating, observing and then analyzing an hypothesis, analysis or feature (often in traditional scrum, this analysis is done by the product owner outside of the codified process)

Retrospectives and item reviews and not done at the end of every iteration (as is done in traditional Scrum), but rather, on a calendar-based frequency the team deems appropriate