Your company has one definition for revenue across the organization, one definition of the customer, and one definition of sign-up. For people whose jobs are so defined by ensuring we're aligned, we can't seem to standardize on one definition for the Data Scientist.

In this talk, Emilie Schario (Data Strategist-in-Residence at Amplify Partners and longtime dbt community member) proposes we lobby against the title Data Scientist, instead choosing some variation of the Core Four Data Roles: Data Analyst, Analytics Engineer, Data Engineer, and Machine Learning Engineer.

Register to catch the rest of Coalesce, the Analytics Engineering Conference, at https://coalesce.getdbt.com.

The Analytics Engineering Podcast is brought to you by dbt Labs.

THUR Dec 21 Hour 3: Our Smart Speakers panel breaks down the latest chapter in the war between Israel and Hamas