Making Agile work for data science
Data scientists and engineers don’t always play well together. Data scientists will plan out a solution, carefully build models, test them in notebooks, then throw that solution over the wall to engineering. Implementing that solution in the software product they work on can take months.
On this episode of the Stack Overflow podcast, Michael Carrico, Director of Data Science, and Chris Wones, Engineering Lead for Merch Analytics and Operations, discuss how they’ve been moving 84.51°’s engineering and data science operations onto the cloud as part of an overall Agile transformation, as well as transitioning from being sales-led to being product-led. To read more about how 84.51° utilized Stack Overflow for Teams to grow a distributed team at scale, click here.
Visit our knowledge hub
See what you can learn from our latest posts.