data science

Story # 1 Jasmin is a data scientist who works at a tech company in a product-oriented team. She likes to work on designing metrics and urges everyone in her team to reason about what they optimize for from a product perspective to link it to the models she builds. Everyone says that she asks good questions and she is tenacious. One day, a manager (non data science oriented) came to her to ask for some charts showing the “improvement” in the model/application performance and relevant metrics to use for a presentation in a company-wide event . [Read More]

How many times have you been on a platform with an objective in mind that is a bit different than what the product optimizes for?. I am saying a bit different because I mean the case when you want to use the original features of the platform but with some tweaks that improves your experience. This idea frequently comes up in a form of wishes by users saying “I wish Youtube allowed me to. [Read More]

A couple of weeks ago I read a discussion on twitter initiated by a tweet from David Neuzerling who highlighted an observation about data science teams being pushed towards reporting/dashboarding inside organizations. Observation: any data science team will always face pressure from within an organisation to become a reporting/dashboarding team. — David Neuzerling (@mdneuzerling) June 19, 2019 I had some reflections from a previous experience and various discussions so I thought about gathering them in a blog post for future reference and further discussions. [Read More]