Challenges and Opportunities in Operationalizing Data Science

Data science operationalization is a simple enough concept.

But in practice it can be a complicated and often overwhelming challenge.

In this episode, Dave Cole is joined by Nishan Subedi, VP, Algorithms at Overstock.com, to discuss the best way to operationalize data science.

Nishan talked about:

• The data science experts that make up the team at Overstock
• Strategies to improve search and measure search success
• The difference between ML engineers and ML scientists
• How to design teams around product orientation