There is no doubt that a successful Data Scientist must be proficient in programming, modeling, and data munging (extracting, cleaning, and feature engineering data).  However, there is another key skill that is often overlooked:  the ability to communicate findings clearly and effectively. If you as a Data Scientist cannot motivate the business buy-in to effect change, your powerful model will collect dust on a shelf.  Stakeholders will only trust your model if they understand the value it adds, what has been done to create it, and why it works.  They should not be left to trust you and your “black box” blindly.  The solution is data storytelling: using the power of narrative to communicate your findings in a way that resonates with your stakeholders.  Doing this combines your data science expertise with intuitive visualizations and—most importantly—a Story to connect the dots.