I am a data scientist (Ph.D.) & report to a non-technical manager who has done MBA strategy who is in the company for a long time...
I have a hard time during my 1:1 & while explaining the project status during the meetings.
if I say this model is overfitting that person has no clue.. If I say I am spending time on data preparation the answer is you spend too long on nonproductive tasks. I am like bad data is gonna screw up... 🤦♀️
There is a problem I am working on for like ~500k rows & XGBoost works best but I get a comment like why not implement a neural network? 🙅♀️
My manager sees some youtube video accidentally once in a while & says why not try reinforcement learning for regression use-cases 🙄
How do I deal with this kind of situation? 💁♀️
I am curious to know how technical are managers managing data science teams in your organization...?
I am in this org for ~1.5 yrs
TC:180K #data #dataanalytics #datascience
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comments
The chief data scientist (or whoever is in charge of the data science org) should be more technically skilled than this person is describing, and should be able to shield their data scientists from the noise of stakeholders trying to interject uninformed opinions into actual analysis.
In the short term, explain your logic to manager once. But if they don't like it, do what they say. Interview and get out of there
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