How different companies think about Data Science

Data science can mean something completely different depending on context. The problems you’ll face at an early-stage startup will be vastly different from the ones you’ll face at a Fortune 500 giant. Not only are there different roles in data science, there are also different companies with vastly different data science teams. In general, these companies can be split into four rough categories. 1- Early-stage startups (200 employees or fewer) looking to build a data product Welcome to the beating heartland of Silicon Valley. The early-stage startup is very high risk, but potentially high-return. If you join an early-stage startup, be prepared to wear a lot of hats and potentially take on all three data science roles at the same time. You will never have the resources you need in…


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