Building a Robust Analytics Team

In this episode of High Signal, Elena Grewal—former Head of Data Science at Airbnb, political consultant, professor at Yale, and ice cream shop owner—shares her journey of building data teams that scale across vastly different contexts. Drawing on her experiences in tech, consulting, and brick-and-mortar, Elena offers practical lessons on leadership, trust, and experimentation.

Key topics from the conversation include:

• From Zero to Scale: How Elena built Airbnb’s data science function from the ground up, scaling it to a 200-person team while driving impact across the organization.
  
• Trust and Team Culture: Why trust is foundational for building effective teams, fostering creativity, and empowering data scientists to drive results.
  
• Applying Data Science Across Contexts: Lessons learned from using data to inform decisions in politics, academia, and even running an ice cream shop.
  
• Experimentation and Iteration: Insights into tailoring experimentation methods to fit different scales, from small businesses to tech giants.
  
• Critical Thinking and Data: How Elena equips the next generation of leaders at Yale to ask better questions, assess data quality, and think critically about evidence.
  

💡 Tune in to explore how data science principles can scale across industries, the leadership skills required to build impactful teams, and why experimentation is as relevant to ice cream as it is to AI systems.

You can find more on our website: https://high-signal.delphina.ai/

SHOW NOTES

• Elena's website
• Elena on LinkedIn
• Real World Environmental Data Science, Elena's course at Yale
• Elena's on Orange!