[Xcelerate]

I started working as a data scientist 9 months ago, coming primarily from a research background. I had never heard of tools like Docker or Airflow in grad school. After reading about them though, their value to a small but growing team of data scientists was quite apparent, so our team took some time to learn how to use them. We now have a reproducible, versioned workflow that removes a lot of headaches that previously existed.

I don’t think it’s too much to expect data scientists to quickly learn some DevOps skills, as long as you can motivate the value for using them.