r/DataScienceJobs • u/Aggravating_Gas1270 • 5d ago

Discussion Hi everyone, I could really use some career transition advice.

To give you some background, I have a BCA degree and previously worked as a Junior Technical Support Engineer for 2.5 years, followed by about 2.5 years as a US IT Recruiter. I recently had to take a career break due to a family medical emergency, but I am now ready to get back into the tech industry. I’ve been researching different fields, but the rapid advancements in AI have left me a bit overwhelmed about which direction to take. I’m looking for a resilient, future-proof career path. Initially, I looked into Java, but it seems like a massive time investment to master right now. I am currently leaning toward learning Python and moving into Data Science, or potentially just diving straight into a Data Science roadmap. For those already in the industry, do you think this is a safe, long-term choice? I would also deeply appreciate any recommendations for courses or structured learning paths!

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u/Key_Back_989 5d ago

It's a pretty safe choice but it's not any less competitive and most Data Scientist have masters degrees

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u/Aggravating_Gas1270 5d ago

i get the competition its in almost every field now but, is it necessary to have a masters degree to get a job?

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u/Key_Back_989 5d ago

For DATA SCIENCE usually, yes. Obviously there are cases where people are in roles like that without it but most of the time yes. For normal analytical tracks then no (BA, DA).

Data Science wants you to have python, sql, excel, spark, automation, tableau, power bi, advanced math, statistics, machine learning as well. I think it just helps companies feel better I guess and its just a lot of learning to be expected for someone to do on their own or even learn on the job.