Skills Needed for the Modern Statistical Scientist

Kevin Poctner (JMP)


Today’s statistical scientist needs more than just competency in applying a specific set of tools to analyze data. Skills in communication including listening/understanding the needs of a client, storytelling, creating compelling presentations, and translating technical details to be accessible to non-technical audiences, among others are often more valuable to a problem than knowing how to apply a complex statistical modeling technique. As no one works in a silo, competency in project management skills is expected in today’s jobs. Defining project objectives, identifying needed resources, managing workflow and the needs of the consumer of the work are often in the hands of the same person analyzing the data. The presenter will share how they’ve incorporated these into their curriculum, so the students are prepared to not only analyze data but to be successful in their careers. This will be followed by a discussion and Q&A among the presenter and audience.