It you want to make an impact as a data scientist, it helps to prototype your ideas as a testable product. Many product managers and engineers ignore their dat

It you want to make an impact as a data scientist, it helps to prototype your ideas as a testable product. Many product managers and engineers ignore their data scientists' work because fighting fires almost always takes precedence. The recent HBR article (posted here) showed how the data scientist at LinkedIn was able to make a huge impact by running his own experiments against live users. At my company, we always provide a non-optimized prototype that can be run directly with our existing product. If the idea is good, we can optimize the code later.