Soft skills!
In my experience hiring team members in the past, I received a lot of resumes every single day. About 90% has similar skill sets that data scientist/data analyst usually has: Python, R, Database, SQL, advanced methods etc. In the interviews, almost everyone said, "I used Neural Networks to do xxx analysis, and used yyy method to do zzz analysis."
However, not many people mentioned why he/she used that method to do a certain analysis, plus almost none of them has mentioned what methods would be the best for our specific business model. It's ok if you don't know much about the business, and that would be a great question to ask!
Just an example, I work for a manufacruing company and many of our products have a long lead time with customizations, which requries our customers to place order in advance so that we can prepare for it. Some customers are usually very good at providing us their forecast rather than us using any predictive methods. For us, we adopt a combination methods of using prediction models, and forecast override provided by customers.
Not every company adopts the most advanced, latest, fancy methods or softwares. Companies tend to use the "best-fit" methods/softwares considering company size, scale, business model, cost, etc.
I just read an article called "Soft Skills Beat Technical Skills in Data Analytics" by Matthew Gazzano and I highly recommend you to read.
https://towardsdatascience.com/soft-skills-beat-technical-skills-in-data-analytics-57f56ca91361
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Shannon (Xiaonan) Shang
Manager, Data Analytics
Enovation Controls
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