Hi All I am considering switching careers to data science/ML after 10+ years in supply chain (inventory and now procurement). Not enjoying my current work much thus looking out for some change and want to move into tech somehow. Considering doing some 6months or so courses on coursera or other platforms. EDIT : i am an engineer & an MBA, have done statistics and probability as my education courses. Need a few suggestions from people who have done similar i.e. switched careers after being so long in other fields. 1) how has your experience been? 2) challenges faced? 3) suggestions for courses and other resources? 4) do u think it is a wise decision at this point in my career? YOE 11 TC $125k. #dataanalytics dataanalytics #datascience #careerchange #machinelearning #machinelearningengineer
You are probably working with a DS team for the inventory / SC projects. See if you can move to that team? Moving into DS/ML is much more feasible within companies. Not many DS experts with solid knowledge in inventory / SC. So you could make it big! Good luck!
A friend with your profile did this with a boot camp a few months ago. (Nobody will be able to truly tell you what is wise for your own circumstances)
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People change from full stack dev to machine learning. But this is a different level. I guess you should consider non-tech roles in tech first. Such as product management, program management. Data science requires a lot more skills to be ready in 6 months. Statistics, probability, coding, machine learning, visualization etc. Talk to the people who are already in a role and learn the challenge and how they get there. Talk to people who were in your career and switch to see how they get there.
Depends on whether op is referring to research data scientist or data scientist analytics. I’d argue supply chain analytics is pretty relevant to the latter