5 things great data science product managers do
Summary
When deploying software, product managers have the critical role of delivering business value and improved user experience, and they have extended responsibilities when working on data science initiatives. We truly have to understand the nature of the decisions to be made on our data product and not be obsessed first over the technical how.” A recent study shows that only 32% of respondents successfully deploy more than 60% of their machine learning models. “Strong foundational datasets are crucial to launch a successful data science initiative,” says Muli Farkas, VP of product management at Glassbox. “This requires significant collaboration between product managers and data scientists to define and refine the dataset to ensure it represents the real-world conditions the model will address. Mike Flaxman, VP of product management at Heavy.ai, says, “Key tasks include ensuring the right data is used to train models, meaning appropriate volume and proper quality.