170: Discussing Data Roles and Solving Data Problems with Katie Bauer of GlossGenius

Highlights from this week’s conversation include:

• The evolution of the data scientist role (1:03)
• Common problems in different companies (2:05)
• Measuring and curating content on Reddit (4:29)
• The challenges of working with unstructured content at Reddit and Twitter (11:03)
• Lessons learned from Reddit and applying them at Twitter (13:17)
• Data challenges and customer behavior analysis at GlossGenius (20:16)
• How the data scientist's role has changed over time (00:25:10)
• The essence of the data scientist/engineer role (29:00)
• Dynamics and overlaps between different data roles (32:09)
• The perfect data team for Twitter (34:19)
• Building a data team at a startup like GlossGenius (36:36)
• The right time to bring in a dedicated data person in a startup (38:52)
• The analytics engineer role (46:25)
• Challenges in implementing telemetry (50:31)
• Final thoughts and takeaways (52:24)

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.