Prioritizing Data Science Work
Data scientists and data leaders need to be thoughtful when trying to balance working on many projects at once.
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Featured: Leo Pekelis, Head of Data at CloudTrucks
Recently, we got to chat with Leo Pekelis, the head of data at CloudTrucks and technical adviser to Eppo, powering A/B experimentation at scale. Leo shares about about leading his data science team, challenges, and his thoughts on how data science will continue to evolve. CloudTrucks is a startup focused on optimizing the freight industry for trucking fleets. Previously, he helped develop Optimizely's Stats Engine, and the theory behind it, and worked on pricing at Opendoor. He completed a PhD in statistics from Stanford University.
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So Your Data Science Project Isn't Working
How to think through the difficult challenge of a data science project that isn't producing results.
You're Relying on Data Too Much
Data can often make decisions worse, not better. This blog post gives an example of one such situation as a metaphor.
Most Data Science Platforms are a Bad Idea
There are some core problems with many data science platforms that make them hard for data scientists to use and admins to maintain.