Subject
3 entries
Team Building
Bookmarks
Bridging the Gap Between Data Science and Engineering
Ryan Orban's slides from a Galvanize talk on bridging the gap between data science and engineering — covering organizational structures, communication patterns, and team design for high-performance data teams. Reflects the friction between DS and SWE roles that defined the mid-2010s.
How to Build a Data Team
A practical guide on building an effective data team — roles, hiring order, organizational structure, and the common mistakes companies make when scaling from one data person to a full team. Shared by Ryan Orban from his Galvanize network.
Keys to Understanding: Data Scientist vs. Data Engineer
Domino Data Lab slides on knowing when to hire a data scientist versus a data engineer — clarifying the distinct skills, responsibilities, and organizational needs each role fills. From the Data Popup Seattle conference, when this distinction was still being established.