• Author: Sweaty-Rice3131
  • Created: 2025-08-17 16:13:29 UTC
  • Score: -3
  • ID: n974uc4
  • Ups=-3 | Downs=0 | Controversiality=1 | Permalink=/r/iwanttorun/comments/1msuei7/data_science这辈子有了/n974uc4/

data science 理论上来说应该是应用面最广的学科,各行各业都能沾点边 如果data science都不好找工作了 市场上又有什么好找呢

  • Author: FreeXiJinpingAss
  • Created: 2025-08-17 16:21:33 UTC
  • Score: 18
  • ID: n976giu
  • Ups=18 | Downs=0 | Submitter=true | Permalink=/r/iwanttorun/comments/1msuei7/data_science这辈子有了/n976giu/

data science没有disciplinary knowledge基本死路一条

  • Author: poopsun
  • Created: 2025-08-17 18:25:09 UTC
  • Score: 5
  • ID: n97vkd0
  • Ups=5 | Downs=0 | Permalink=/r/iwanttorun/comments/1msuei7/data_science这辈子有了/n97vkd0/

作为一个从cs转到ds的人来插一句,cs其实也一样需要

  • Author: SHChan1986
  • Created: 2025-08-18 14:37:22 UTC
  • Score: 3
  • ID: n9ctesi
  • Ups=3 | Downs=0 | Permalink=/r/iwanttorun/comments/1msuei7/data_science这辈子有了/n9ctesi/

所以現在一堆純CS, 不extend methodology to maths (adv algo/methodology) / EE (hardware)之類, 又不extend to application area, 就只有純CS的就頭都大了,

  • Author: SHChan1986
  • Created: 2025-08-17 21:23:21 UTC
  • Score: 2
  • ID: n98tfiv
  • Ups=2 | Downs=0 | Permalink=/r/iwanttorun/comments/1msuei7/data_science这辈子有了/n98tfiv/

但讀data scienece的怎麼會搞沒有disciplinary knowledge?

除非本科stat CS major一路到master/PhD, 完全沒有別的主修/副修

  • Author: hedwigchyan
  • Created: 2025-08-18 04:24:00 UTC
  • Score: 7
  • ID: n9anqck
  • Ups=7 | Downs=0 | Flair=打酱油 | FlairColor=dark | Permalink=/r/iwanttorun/comments/1msuei7/data_science这辈子有了/n9anqck/

在英国有两年data工作经验,在裁员后找了9个月,每周都有一个以上面试,当然全跪是因为死在工签上,但是vacancy真的还是不少的,我被裁的前同事local都很快找到了

  • Author: [deleted]
  • Created: 2025-08-18 05:12:55 UTC
  • Score: 1
  • ID: n9athy7
  • Ups=1 | Downs=0 | FlairColor=dark | Permalink=/r/iwanttorun/comments/1msuei7/data_science这辈子有了/n9athy7/

[removed]

  • Author: anoncygame
  • Created: 2025-08-19 14:38:59 UTC
  • Score: 1
  • ID: n9jbrqf
  • Ups=1 | Downs=0 | Permalink=/r/iwanttorun/comments/1msuei7/data_science这辈子有了/n9jbrqf/

做ds就能做LLM?你脑子也不太正常吧。。。美国大学ds学的东西和LLM需要的东西出入太大了。

一般ds需要的是sql,python,r,powerbi,excel也是有一部分的。这些和LLM差太多了

  • Author: Ready-Song-106
  • Created: 2025-08-18 08:17:12 UTC
  • Score: 6
  • ID: n9bclqc
  • Ups=6 | Downs=0 | Permalink=/r/iwanttorun/comments/1msuei7/data_science这辈子有了/n9bclqc/

本质是很多数据分析的活儿,一开始后端都能从数据库里直接拿出来搞,不需要另一个岗位。

直到这些“杂活儿”多到后端没时间了,公司再安排预算来一个de ds岗位出来。

  • Author: Worthy-gaylord69
  • Created: 2025-08-19 09:21:55 UTC
  • Score: 1
  • ID: n9hzo9u
  • Ups=1 | Downs=0 | Permalink=/r/iwanttorun/comments/1msuei7/data_science这辈子有了/n9hzo9u/

测试,运维都一样,经济好的时候公司还能养几个闲人,经济一差,除了开发不能开,其他都可以丢