The Joy and Sorrow of the Data Science World

The untold stories of data practitioners!

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]

Objective Function Engineering as an Interface Design Problem

Individual users control over algorithms?

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]

The Reporting/Dashboarding Dilemma!

Data scientists and dashboards: a complicated relationship

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. 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. In this post, I will discuss the dynamics of this pressure, how it affects the newly hired data scientists as well as the team leader, what are the common arguments in this context and more. [Read More]