Hear, hear! I've got a PhD in statistics and consider myself a pretty good data scientist, but I am not a computer scientist. The last job I applied for asked me to perform a coding challenge prior to a possible in-person interview. The challenge was heavily focused on algorithms and data structures, almost nothing about statistical inference, causal inference, experiment design, model fitting, etc. I didn't bother s…
were you applying for a data scientist or software engineer position?
I've got a feeling that these large corporations have started to realise that the 'data scientists' (commerce and engineering grads that know some python) they are hiring are all pretty useless because they don't have the engineering skills to actually get anything done.
A lot of the job advertisments for 'data scientists' I see these days focus WAY more on things like 'AWS, Spark, building pipelines, etc' than statistics and modelling skills.
Slightly related note, I'm seeing a silly number of advertisments asking for PhD's in quantitative fields and experience with PowerBI. That'd get me running for the hills.