On being a Senior Data Scientist This post is partly for myself and based on various peoples conversations – it is also inspired by https://www.kitchensoap.com/2012/10/25/on-being-a-senior-engineer/ I’m trying to answer questions like ‘what do we expect from a Senior Data Scientist’. My job title is ‘Senior Data Scientist’ and I often joke I’ve no idea what…… Continue reading What does it mean to be a Senior Data Scientist?
I’ve been recently looking at Survival Analysis at work. It’s an incredibly powerful technique however one challenge I had was getting confidence intervals (or something similar to confidence intervals) to work with Aalen Additive. So largely to allow myself to remember this in future I share the code here 🙂 https://gist.github.com/springcoil/ac468059cf98c8659bf0c44297f79878 https://gist.github.com/springcoil/ac468059cf98c8659bf0c44297f79878.js It should work…… Continue reading Adding the Bootstrap to Lifelines regression
Machine Learning hipster effect Machine Learning is very in vogue at the moment. I feel that a pressure some junior data scientists and engineers feel is the need to do ML just to be a cool hipster, or as a friend of mine calls it ‘the ML hipster trap’. What is the ML hipster trap?…… Continue reading Avoiding the ML hipster trap
This is a fairly opinionated post. It doesn’t represent the views of anyone else other than myself. I recently came across – Pitfalls of a non technical manager and it reminded me of some of the things I was talking about in Trophy Data Scientist I recommend the post above, and I’ll give my take on…… Continue reading Three pitfalls for non-technical managers managing Data Science teams
This is a slightly self-involved post. The only point is to document for myself what I’ve done in 2017, and force myself to blog a bit more. In no particular order: I proposed to my long-term partner, and since then I’ve learned a lot about the various decisions one has to make when planning a…… Continue reading What I learned and accomplished in 2017
I’ve been programming professionally for about 5 years now. So I don’t consider myself a brilliant expert. Never the less one thing I think that I’ve learned is that it isn’t about the ‘technical problems’ it’s about whether or not you solve a real-world or meaningful problem. Some people call these ‘business problems’ but they…… Continue reading Why Zalando’s tech radar sucks as a stack
Source I’ve worked on Data Science projects and delivered Machine Learning models both in production code and more research type work at a few companies now. Some of these companies were around the Seed stage/ Series A stage and some are established companies listed on stock exchanges. The aim of this article is to simply…… Continue reading How do we deliver Data Science in the Enterprise