\u201cBeing a great data scientist\u201d and \u201cbeing great at a data science interview\u201d are not one and the same. Jon Krohn speaks with Nick Singh about how to strengthen your interviewee skills, and how you can even beat out more senior competition to land a coveted data science role.This episode is brought to you by Datalore (datalore.online/SDS), the collaborative data science platform, and by Zencastr (zen.ai/sds), the easiest way to make high-quality podcasts. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.In this episode you will learn:\u2022 Nick\u2019s inspiration for writing his bestselling book, Ace the Data Science Interview [06:21]\u2022 Why Nick believes in being a work generalist [12:37]\u2022 How DataLemur supports emerging data scientists for free [15:43]\u2022 Why Nick started DataLemur off the back of his book [21:31]\u2022 Portfolio essentials for any data scientist [22:36]\u2022 The three most common things data scientists get wrong at the interview [24:33]\u2022 How data science introverts can shift their mindset about self-promotion [37:58]\u2022 Great responses to end your data science interview on the right foot [42:21]Additional materials: www.superdatascience.com/615