[dangjc]

You might want to gravitate more in the machine learning engineer direction. So much of ML is building the data, training pipelines, the serving environment, model tracking, evaluation, promotion, and other general infra around modeling. Many data scientists are more analyst-plus, and don’t have strong engineering skills. But large scale ML needs more of the latter. As long as you can AB test, you don’t need strong statistical skills to tease apart effects.