3 ms·
Yeah that’s especially unfortunately true for data science and data engineering teams in companies where ml or data are not the core business but nice-to-have.
by higeorge13 4y ago
Yeah that’s especially unfortunately true for data science and data engineering teams in companies where ml or data are not the core business but nice-to-have. They are usually the first ones from engineering being axed in times of lay offs.
- WorldMaker 4y agoEven for companies that have ML and/or Data in the core business. I think few would argue Meta in this specific layoff example doesn't have data as a core business. (And those few are probably the ones drinking the "metaverse Kool-Aid" and thinking the pivot away from data siloes is already complete to some sort of VR scape where data somehow doesn't matter or doesn't exist, that Meta still hasn't actually convinced consumers to buy or figured out how to build. They finally figured out "legs", pivot complete I guess?).