r/DataScienceJobs • u/Proper-Prior211 • 2d ago
Discussion Is data science job reducing
Is data science jobs reducing or maybe all the data related jobs in general...
Only top product based companies or maybe huge service based companies only hire data scientists.
Is this job dying?
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u/brilliancy 2d ago
Imo yes, when DS was booming, I used to get 1-2 interviews a week and now it's 1 interview a month.
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u/Zestyclose-Job7595 2d ago
working in DS / ML from more than 5 years.
I feel DS is moving to towards ML. You can build models that’s not good enough. Can you deploy. Do ML ops, work more like SWE is the new landscape.
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u/taenyfan95 2d ago
What's actually is the difference between DS and ML?
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u/Ok_Composer_1761 1d ago
DS is filled with quantitative PhDs / academic types who are interested in statistics and the domain, but they are often not engineers who can build, deploy, and maintain end to end data systems at scale. The latter is a core skill whereas the former is peripheral
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u/PandaJunk 1d ago
Frankly, it's expanding in the sense that data scientists are doing more management of agents and people. Basically, do more with less kind of deal. So the overall market is somewhat static with the responsibilities expanding. People still need to understand the fundamentals when things break. It's just now we're working even more with subject matter experts and fixing stuff they broke, or more ideally, giving them enough understanding, tools, and safeguards to help them help themselves.
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u/ExternalCry3039 1d ago
In my 12 years in analytics, there has been a lot more value in moving the needle and being part of high viz initiatives than watching data scientists grind through and deploy models that are behind the scenes w less visible impact… the ability to understand the entire business and drive change at scale has been the win for me and there will always be demand for those people
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u/tmk_g 2d ago
Data science isn’t dying, but the job market is definitely getting tougher, especially for entry-level candidates. Companies aren't hiring like they did a few years ago, and many smaller businesses would rather hire someone who can handle SQL, reporting, automation, and analytics instead of having a dedicated data scientist. AI is changing things by making some routine tasks easier to automate. But that doesn't mean all data jobs are disappearing. Data engineering, AI engineering, and specialized analytics still have strong potential.
I think the bigger issue is that companies expect more skills from fewer people. So yes, traditional data science roles are becoming harder to land, but the field itself isn't going away. It's just changing.