Career advice for new Data scientist
Hey guys, Needed some career advice so thanks in advance! I’m a recent grad with a major in Math and Business from top math/CS/DS undergrad school. I’m working as an internal Data Scientist at IBM at a pretty high visibility project (getting millions of $s as additional revenue for IBM with our analytics) and doing some real Machine learning work from modeling to deployment for our internal clients. But I want to be working on cooler applications of ML that affect everyday consumers like maybe Siri, or Google maps or Tesla or something. Do you think it makes sense for me to stay in this role which is more like an internal business consulting role but with predicting analytics with actual business use-case or should I fuck this, do a masters and join a dream company? Another thing is that IBM pays crap. TC: $100K. Experience: <1 year Location: New York, New York
Try moving to an SWE role with ML applications.
Yes, this. SWE skills are a major way for how you differentiate yourself in a data role. The rest keeps getting made easier and more accessible. I’d also add focus on understanding business problems and your domain.
Gotcha. Thank you! Can I DM either of you?
IBM is a red flag on the resume. Companies don’t want that shit. Good luck. My advice, go back for a masters in CS and reset.
Why is IBM a red flag?
Realistically the cool jobs hire phds.
OP can you refer me for a DS role at IBM?
It depends what kind of ML work excites you - predictive analytics that is closer to business use cases, or applied ML problems that are more focused on new tech/products? If the former, it makes sense to build deep expertise in a particular domain eg BFSI, Ecommerce etc. that will help you understand and build better business-relevant ML applications. If the latter, upskilling via a Master's makes sense as it opens the path to get into FAANG etc. and work on tech that is more state-of-the-art for much better pay.
TC meaningless without location
My bad, edited