6 Game Changing Data Science Interview Tips From Data Science Managers (Data Analytics Interview)

6 Game Changing Data Science Interview Tips From Data Science Managers | Data Analytics Interview | Data Analytics Job

Have you ever been forced to deal with the cold brutality of an email beginning with “We regret to inform you...” after seemingly pouring your heart out into an application for a data scientist position?

Don’t worry, you’re not alone; rejection is a cornerstone of the data scientist lifestyle – from runtime errors to job applications. After today, however, you’ll know how to separate yourself from the competition and nail that next interview, but you’ll probably still have to deal with those pesky runtime errors.

We’ve asked a few hiring managers from the industry (including a Senior Data Scientist/Director of Engineering, a Lead Algorithm Machine Learning Engineer, and a Director of Analytics) for their insights about what goes wrong during the interview process and for suggestions on how you can avoid the common pitfalls that result in a disappointing email.

“Without soft-skills a data scientist is maybe only slightly more than an academic statistician. If they cannot integrate with the business, talk with them to discover needs and discuss solutions, and so on, then the solutions they create will be manifestations of their own imagination and have zero business value. This is an issue I have seen happen numerous times – and is a big driver as to why you hear stats like 7 out of 10 data science projects never make it to production.”

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00:00 - Intro
01:52 - Learn the math and keep up with trends
03:33 - Theory and soft skills
04:17 - Validate theoretical knowledge with experience
08:04 - Don't overemphasize education
08:32 - Don't trust courses to give you deep knowledge
09:29 - Showcase the breadth of your abilities
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Music - Blossom by Lakey Inspired
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