In a tongue-in-cheek story told from the perspective of a naive junior data scientist, Kenny Ning unveils some of the challenges that data practitioners must be prepared to face as they assume roles in the industry. These range from setting up Python development environments to accessing data to optimizing models for production use cases. His post suggests that the data science role doesn’t hinge on blindly embracing the latest, sexiest research but instead on working with peers to implement solutions that meet user requirements in a timely manner.