How To Be a Better Business Data Scientist

While it feels amazing to get that 90% accuracy on your classification model test set, you will need to justify using the model in your business regardless. So much of data science education is focused on many things like popular algorithms, feature engineering, and hyperparameter tuning, to name a few. Although those are incredibly important parts of data science, there should also be a focus on how to incorporate data into your business. Rather than discussing those more traditional parts, we will strive for gaining a better understanding of opportunity, problem statements, stakeholders, KPIs, and testing. Depending on where you work, you might be assigned a specific opportunity, or you will have to find one yourself.