“Being a great data scientist” and “being great at a data science interview” 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:• Nick’s inspiration for writing his bestselling book, Ace the Data Science Interview [06:21]• Why Nick believes in being a work generalist [12:37]• How DataLemur supports emerging data scientists for free [15:43]• Why Nick started DataLemur off the back of his book [21:31]• Portfolio essentials for any data scientist [22:36]• The three most common things data scientists get wrong at the interview [24:33]• How data science introverts can shift their mindset about self-promotion [37:58]• Great responses to end your data science interview on the right foot [42:21]Additional materials: www.superdatascience.com/615)
