Pros
- Lots of great people (smart, skilled, empathetic & kind) both on the DS team and across the company. - Tons of opportunities to learn and grows as a DS through great lunch & learns (with great external speakers as well), internal workshops and mini-conference like data days. Amazing for data nerds. Lots of opportunities for DS mentorship from experienced folks if you seek it out. $1000 Education stipend. - Competitive compensation for DS and other positions. Company is profitable and usually generous to its employees. - All the usual great perks of a Sillicon Valley company like food, great snacks, flexible working hours, lots of benefits etc + $2000 in Airbnb credits/year - Great tooling and always improving on this (Knowledge Repo, data portal, R, Python servers, modeling platform etc) - Decent company growth and diversification - Not everything is perfect, but DS leadership listens, is open to feedback and acts on the feedback - Great company and DS brand - Strong data culture: data has a strong voice and DS are respected. People are eager to learn more about data through Data U. Focus on data self sufficiency etc. - Absolutely stunning office. Visitors are always amazed. - Inclusive, diverse and welcoming culture
Cons
- Waiting for IPO. Company took action to increase cash comp in the meantime (which was highly appreciated!), but still would be great to IPO soon - Still lots of improvement for data tooling (Superset, pipelining etc) and data quality - Often stretched thin, which can be stressful. Need to hire more DS faster - Food is sometimes great, sometimes just ok - Wish the office was closer to public transportation. Lyft credits mostly solve this, though. - Sometimes I feel like there can be too much of a SJW vibe, but I suppose this is a byproduct of having lots of highly empathetic and kind people.
