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After Grad School in a STEM field, my entire career has been in DS. While at times it feels sexy, the general day in and day out is a slog. Most corporations are data illiterate and most of the projects are politicized by commonly held prejudices. The technical work is repetitive and mostly boiler plate problem solving. I will continue to be a DS for the money and opportunity, but the work itself is tiresome. Right there with you friend
I think I can relate. I learned how to do predictive modeling and all that “fancy” stuff, but realized I actually found it to be really tedious and boring. I find data analysis to be much more interesting. So while it’s not as sexy per se, I enjoy it a lot more.
Data science was over hyped in outs early days and since.
Most companies globally don't do data management, and therefore have relatively poor data quality. They don't know what data they have, and where is located, and whether they can access it.
Then they hire data scientists to work their magic only to discover they get suspect answers not in a timely manner.
If you're really into the data analysis and data management space, I'd encourage you to get involved with DAMA and undertake their CDMP cert.
I started off with a more technical analytics background but I’ve been doing a lot more BA work in consulting that I would’ve chosen, but I found out I really like working with cross-functional teams and doing more functional work in general. Thought this was interesting and wanted to hear your thoughts on why DS isn’t what you thought it would be
hey that is me too. i love functional work, it is just easier for me. it is far enjoyable as well; i like talking to people and seeing their point of views.
I’m glad I’m not alone. I’ve not enjoyed data work for a while. I’m not sure if it’s my projects, my company, the work - or all of the above.
Was just thinking the same thing. Thought most people in DS just loved it and I was an odd one.
Me. I decided I don’t like being responsible for code. I moved to a software post sales role where I advise customers on data science solutions. It also allows me to work with sales, product, and leadership teams while learning dozens of customers’ IT infrastructure, organization, and strategic projects.
Check out customer success. It’s a strategic role at many companies. The more technically advanced the company is, the more engineering skills are required.