Slack Data Science reviews

* Hiring like crazy. This is kind of a pro but lots of new people figuring things out and a lot of system scaling stuff * They got rid of some of the prepackaged snacks in the microkitchen for bulk goods. * Overall this is a great company to work for, not much to complain about.

* At least within Analytics, ICs are rarely promoted. Mid-managers come up with rubrics for judging advancement, but use vague definitions to make assessment fit their view. In two years, among fifteen colleagues, I've observed perhaps three IC promotions (manager class seems to promote itself) * In same vein, mid-management is reluctant to promote ICs to management, tend to hire from outside so nearly impossible to move up from IC to mgr * Fast growth issues: getting things out the door is focused on, so quick wins are praised and rewarded, while building scalable solutions is often overlooked. Result is a lot of tech debt and even basic data questions still take a long time to get answered. On an org level, code base is a behemoth and we've now finally been forced into clean-up mode because it's struggling to scale.