Pros
1) Data Scientists are valued partners and have a seat at the table when key decisions are made. PMs seek out my input to opportunity size projects, and when I have an idea that I want to drive, they listen. My eng leader is keen to invest in data in order to support my and my team's work. 2) The team has a wealth of expertise in many fields of data science, ML, forecasting, Analytics, etc. Whenever I have a question, there is always someone on the team who is an expert that I can learn from. 3) I really like our internal tools - both Airflow and Superset are two of my favorite new tools since joining Airbnb. Also our internal experimentation platform. 4) I'm excited to work for a company that I think is genuinely making the world a better place by helping people connect and belong. I came to the US as a refugee, and Airbnb's stand for refugees made me proud to work here. 5) Internal mobility on the data science team is strongly encouraged and supported. Once you've been in your role for a year or two, you can start looking at other roles if you're interested. So there are always more problems to solve!
Cons
1) Airbnb moves really fast - roadmaps change frequently and it's sometimes hard to keep up. 2) While we're getting better at it, we still don't always think very long term.