Avantages
* Great equity and benefits. * Organization is still building itself so there is a lot of green-shoots work and a very low technical bar. * Incredibly easy interview process and hiring screen. * The company itself is stable and not going to dramatically change.
Inconvénients
* Data Science is focused more on name and degree recognition and appearing elite from the outside. * Most Managers have limited technical experience and cannot do the actual work of their ICs. * Stack-ranking leads to a very toxic work environment where people are looking to bring down others to boost their own team. * Any type of promotion past the Senior to Staff level is extremely difficult. Room for growth is limited due to lack of quality Principal, Senior Staff, or technical Managers. * Generally bad morale and company culture since the first major round of layoffs. RTO keeps creeping towards more and more days making the idea of hybrid work limited. * Work/life balance is atrocious and only getting worse. Everyone lies about how much they work so they sound like they are more efficient than they really are.