In this post, Alok Gupta talks through how and why he seeks data scientists with entrepreneurial behaviors as he builds his team. He discusses how those with an entrepreneurial streak might evaluate and prioritize a possible project (or define new opportunities); including by understanding the goal and potential impact, determining the likelihood of success through data exploration and toy modeling, and through communications with business stakeholders on topics like experiment design. He includes a list of data science principles (impact, expertise, platformization, accountability, reliability, efficiency) and describes how he assesses these principles in interviews (for example, through consulting case study interviews). The article concludes with a list of tips and tricks.