A good programmer with even just a high level overview of ML and Stats concepts would be an incredibly valuable asset to a data science team. Most ML people are academics who tend to not have good software engineering skills, finding people who master both domains is really hard. Also to add to that most of the work in ML is feature engineering, data cleaning, testing and building pipelines which all require a good s…
I do a lot of the grunt work of getting the data sourced, cleaned and ready and am called the 'data wizard' and other such annoying names.
What's frustrating is I can run the last lines of code and read and understand the output of the last step, but as the original question asked, management would prefer someone with a phd or masters in customer analytics to be the expert of the data output.