Challenges with Hiring Manager round- Data Scientists

Very good point.. in my experience too I feel they try to focus on accuracy more and less value on business impact. They think that getting every model to give a more precise result is just to feed it more data and then any model can give 95+ accuracy but actually it depends on the problem statement and data we are having.

1. When I was explaining that non DS folks get it wrong while evaluating Data Science work, and when I said they need to simply focus on practicality of the built use case and see if it adds value on top of existing BaU, and not go hell bent on metrics like accuracy etc... He felt I was speaking low of my previous organisation..

My point was maturity of senior leadership in building AI solutions is quite critical, if it's not there that would be one big challenge for an org to tackle. But the interviewer took it as I was speaking ill of my counter parts