Thrive For Precision Not Accuracy
Jake Porway who was a data scientist at the New York Times R&D labs has a great perspective on why multi-disciplinary teams are important to avoid bias and bring in different perspective in data analysis. He discusses a story where data gathered by Über in Oakland suggested that prostitution arrests increased in Oakland on Wednesdays but increased arrests necessarily didn't imply increased crime. He also outlines the data analysis done by Grameen Foundation where the analysis of Ugandan farm workers could result into the farmers being "good" or "bad" depending on which perspective you would consider. This story validates one more attribute of my point of view regarding data scientists - data scientists should be design thinkers . Working in a multi-disciplinary team to let people champion their perspective is one of the core tenants of design thinking. One of the viewpoints of Jake that I don't agree with: "Any data scientist worth their salary wil...