Sundeep Teki
  • About
    • Talks
    • Media
    • News
  • Consulting
  • Coaching
    • Testimonials
    • Course
  • Blog
  • AI
  • Neuroscience
    • Speech
    • Time
    • Memory
  • Papers
  • Contact

How do I crack a data science interview, and should I learn DSA for the same?

9/7/2022

Comments

 
Cracking data science interviews is getting tougher and tougher. Depending on the type of company, be it a startup or a big tech, and the level that you are targeting, you can expect to have 3–6+ interviews in all. The core data science interview rounds focus on statistics, programming (Python), machine learning, product or business sense, behavioral or leadership interviews. Additionally, interviewers in each round round also assess your problem solving, thinking, and, communication skills.

DSA is not as relevant for data science interviews except if you are applying for the role of data engineer or machine learning engineer. These roles involve more software engineering than data science and therefore require strong DSA understanding.

Data science interviews lack structure and vary a lot, and therefore it helps to learn from experienced mentors who have worked at the kind of companies that you are targeting.
Comments
comments powered by Disqus
    👉 Contact for AI coaching
    Testimonials

    Archives

    November 2022
    October 2022
    September 2022
    August 2022
    July 2022

    Categories

    All
    AI
    Amazon
    Careers
    Data Science
    India
    MLSystemDesign
    Mock Interview
    Perspectives
    Research
    Robinhood
    Upskilling

    RSS Feed


    Copyright © 2022, Sundeep Teki
    All rights reserved. No part of these articles may be reproduced, distributed, or transmitted in any form or by any means, including  electronic or mechanical methods, without the prior written permission of the author. ​
    Disclaimer
    This is a personal blog. Any views or opinions represented in this blog are personal and belong solely to the blog owner and do not represent those of people, institutions or organizations that the owner may or may not be associated with in professional or personal capacity, unless explicitly stated.
​© 2023 | SUNDEEP TEKI
  • About
    • Talks
    • Media
    • News
  • Consulting
  • Coaching
    • Testimonials
    • Course
  • Blog
  • AI
  • Neuroscience
    • Speech
    • Time
    • Memory
  • Papers
  • Contact