Raising the Data Science Bar with Cross-Team Collaboration


In modern data stacks the Data Science team has a range of responsibilities to help increase operational efficiency and product effectiveness. We’ll walk through some of the approaches that successful teams employ at Amazon, AWS, and Netflix use to succeed on these fronts. In particular the talk will explore how Notebooks can and should be used as a medium of communication between teams with varying expertises, what this pattern enables, and when to use collaborative technologies. We’ll also describe why you should start thinking about collaboration as a core responsibility of Data Science before you discover this is a bottleneck to your team’s effectiveness.


Pierre is a co-founder and Chief Product Officer (CPO) of Noteable. Pierre Brunelle led Amazon’s notebook initiatives both for internal use as well as for SageMaker. He also worked on many open source initiatives including a standard for Data Quality work and an open source collaboration between Amazon and UC Berkeley to advance AI and machine learning. Pierre helped launch the first Amazon online car leasing store in Europe. At Amazon Pierre also launched a Price Elasticity Service and pushed investments in Probabilistic Programming Frameworks. And Pierre represented Amazon on many occasions to teach Machine Learning or at conferences such as NeurIPS. Pierre also writes about Time in Organization Studies. Pierre holds an MS in Building Engineering from ESTP Paris and an MRes in Decision Sciences and Risk Management from Arts et Métiers ParisTech.

Open Data Science




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