As with many roles, the duties of a data scientist can vary each day. One day may be spent on problem discovery. Another might be spent framing solutions and gathering requirements. And another day beyond that may include prototyping and working with developers, or measuring and reacting to the adoption of the features they have helped create. It is also within the data scientist's scope to educate their organization on the benefits of data science, establishing the appropriate data environment to be able to do it. Regardless of the duties of a given day, engaging stakeholders and setting and aligning to goals remains important each day. Being as specific as possible with those goals is paramount. Otherwise, it's impossible to make the decisions about modeling, methods, technology, and people resources that your organization needs to make.