HACKER Q&A
📣 boredemployee

As a data scientist/engineer/analyst, what pisses you off in your job?


my list:

1 - stakeholders often think you can make a whole business dashboard in 1 day

2 - people think that machine learning will solve all business problems, when in reality just some simple sql and sorting rules can solve many many problems

3 - people often think you can solve wrong business decisions and models in your data warehouse

4 - a senior phd trying to convince for hours a co-founder, that has no clue about data science, that he is wrong

5 - business and ux guys thinking that engagement, purchases, clicks are all deterministic

  👤 unlikelymordant Accepted Answer ✓
collecting "data" doesnt mean you can answer the questions you want to know. Hourly GPS data is mostly useless for answering pretty much anything except "where was the car an hour ago", but 0.2second GPS you can do quite a lot. It just always seems like the hourly option gets chosen because it cheaper and easier, and you are now collecting "big data". That option is chosen at the tender stage long before any data people get involved. And it turns out that the location of the car an hour ago is never the problem I get asked to solve with the data.

s/GPS/any other data points/

👤 methusala8
OP wrote: > people think that machine learning will solve all business problems, when in reality just some simple sql and sorting rules can solve many many problems

Which sorting rules have you found useful? Thanks.

👤 bbstats
Nothing. I enjoy it very much :)