LinkedIn Data Scientist Mock Interview + Feedback with Ex-DoorDash & Spotify Data Scientist!




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Hi everyone! In this video I am interviewing Jeff with a mock data science interview question asked from LinkedIn about newsfeed rankings. Jeff is an experienced data scientists and machine learning engineer who has previously worked at DataQuest and at DoorDash.

👉 Subscribe to my data science channel: https://bit.ly/2xYkyUM
📧 Sign up for free weekly interview questions: https://www.interviewquery.com
🔑 Get professional guidance from Jeff your next interview: https://www.interviewquery.com/coaching
❓ Try a LinkedIn interview question: https://www.interviewquery.com/questions/encoding-categorical-features

Quick Links:
2:00 – Newsfeed Ranking Question
3:14 – Jeff’s Explanation
14:43 – Interview Feedback

You can check out Jeff’s website here: http://www.jefflichronicles.com/
I highly recommend reading Jeff’s mental models frameworks!: http://www.jefflichronicles.com/mental-models

Follow Jay on:
Twitter: https://twitter.com/datasciencejay
LinkedIn: https://www.linkedin.com/in/jay-feng-ab66b049/

Related Links:
LinkedIn Data Science Interview Guide: https://towardsdatascience.com/the-linkedin-data-scientist-interview-f97cb98b6600?source=friends_link&sk=977e28491e90a107d246bba6afc6a459
Our data science interview book reviews: https://www.interviewquery.com/blog-data-science-interview-books/

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Comment List

  • Data Science Jay
    January 8, 2021

    Can we bring him back for a ML case mock interview please? Obviously that is his area of expertise.

  • Data Science Jay
    January 8, 2021

    Make your bed Jay! (Jk, great interview, thank you so much!)

  • Data Science Jay
    January 8, 2021

    That’s an awesome video.

  • Data Science Jay
    January 8, 2021

    Another great video. Especially love the feedback part! Thanks Jay

  • Data Science Jay
    January 8, 2021

    This is amazing content!

  • Data Science Jay
    January 8, 2021

    Jeff introduced me to the briefcase method. He is an awesome person to have on!

  • Data Science Jay
    January 8, 2021

    you always come up with great content that is really needof an hour. Thanks for putting so much effort for your viewers. keep up your work. You are awesome!!

  • Data Science Jay
    January 8, 2021

    This is awesome

  • Data Science Jay
    January 8, 2021

    Great natural content from Jay as always, would be great to see Jeff's notes!

  • Data Science Jay
    January 8, 2021

    Awesome, thank you as always for the quality practical content! Seeing real interview scenarios and questions is truly helpful!

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