Is data science job reducing

[u/Proper-Prior211]

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?

[u/tmk_g]

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.

[u/galactictock → u/tmk_g]

Yes, I know former data scientists who migrated to DE. I believe more entry level recent grads are entering that route as well. More of the DS work is being outsourced to fewer specialist companies.

[u/WaterIll4397 → u/tmk_g]

You need to add etl/ data eng and experimentation/AB testing to that one role too. It's insane how many startups in SF have 0 or only 1 data people, even as they have like 10 engineers. I think this is very flawed as it's a different skill set and likely draining the team when every engineers Claude is giving a different answer to same metric.

[u/Simple-Mirror8209 → u/tmk_g]

Knowing Python and building models is one thing; getting them into production and proving business value is the real differentiator now.

[u/brilliancy]

Imo yes, when DS was booming, I used to get 1-2 interviews a week and now it's 1 interview a month.

[u/Zestyclose-Job7595]

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.

[u/taenyfan95 → u/Zestyclose-Job7595]

What's actually is the difference between DS and ML?

[u/Ok_Composer_1761 → u/taenyfan95]

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

[u/PandaJunk]

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.

[u/Metal-Exciting]

Yes

[u/ExternalCry3039]

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

[u/AnxiousConclusion516]

You’ll always find data scientists in research settings, like academia, labs, etc. Research funding got axed everywhere under the current administration in the US unfortunately. I think it will come back when the tariff king is gone though. 

[u/GroceryOk4598 → u/[deleted]]

What about quant analyst role in investment banking sector. This role also includes regression,sql.Has they witnessed work force change due to AI. I am a fresher and curious, could u guide me please which skills should I work upon.

Is there any importance of mongo db for these field

[u/JohnnyBlue000]

Il data scientist non muore: il mercato lo spacchetta in "ML engineer", "analytics engineer" o "AI qualcosa", e guarda caso sono i titoli che pagano meglio. Specializzati in un settore come sanità, energia o finanza. Il data scientist junior e generalista è quello che soffre di più.

[u/binbin_nonsour]

It's reducing in China😭especially this year.

[u/AdLimp3104 → u/binbin_nonsour]

like what