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Yes, I think the DS market in general got hit since it's a nice to have for most companies, or most companies have no idea what their DS groups do anyway and we
by rafiki6 6y ago
Yes, I think the DS market in general got hit since it's a nice to have for most companies, or most companies have no idea what their DS groups do anyway and were just jumping in on the hype. Also there is a glut of talent from bootcamps and cert programs because every newspaper posted an article in the last 5-10 years about how Data Science is the hot new career where you get a six figure salary for showing up. This industry is going through it's growing pains and I'm finding a lot of DS positions are slowly transforming into ML Engineering, Data Engineering, or Analyst roles, especially as ML gets more commoditized with higher level frameworks like HuggingFace coming about. I think I've narrowed my search towards ML engineering.
- fundamental 6y agoOrganizations defining their roles is certainly a challenge. Quite a few roles don't know what their focus is and other roles constrain their search to the point that the job requirements are practically a circular dependency. I'm on the research side of the equation which falls under the data science umbrella which is partially covered by ML engineer, but not fully IMO. Personally, working with data there's a ton of older EE derived DSP+image processing ideas which are great but the recruitment process overlooks with how the roles get built. Having the solid math background is something that seems lacking from anyone exposed only to very high level frameworks or bootcamps.