The Sad Reality: Not Enough Actual Data Science
Last letter to my boss after I quit
Although this article is about quitting my Data Science job, it is not so much about how I quit as opposed to why.
Is about trying to highlight an issue that through my 6+ years of experience in this career, I consider to be a prevalent one.
Something I’ve openly discussed among peers at different companies, but that deserves more light shined upon it.
This was my last letter to my boss after I quit:
Dear Manager,
To keep our Data Scientists feeling adequately challenged, engaged, and happy, we need to take a more strategic approach when deciding the types of projects they get assigned.
Most, if not all, of our Data Scientists, have a clear idea of which type of projects they enjoy the most and which will have the biggest impact on their career development. As a good starting point, at this company, these are usually the projects that involve very little data modeling and require the use of advanced analytics techniques (e.g. Doing “Causal Impact” analysis to attribute a certain uplift to our metrics or “Survival Analysis” for customer churn prediction).
