Pros
The team is very intelligent and collaborative, with plenty of open discussion and idea sharing. There’s a strong sense of trust and ownership, and people are given a lot of responsibility over meaningful projects. The work is interesting and often involves newer data science approaches, so there’s good exposure to modern tools and techniques. The company tries to be data-driven when making decisions, which places a lot of importance on our work. On a day-to-day level, it’s relatively easy to deploy models and code, which makes it possible to move quickly and instantly see the impact of our changes, which can be a very rewarding experience. Pay is competitive for the level of responsibility, and the CEO / senior leadership is clearly engaged with what teams are working on.
Cons
It’s a fast-paced environment in a rapidly changing industry, which means priorities can shift fairly often.