How to get a data science job




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This video is for those of you who are learning data science in the hopes of getting a data science internship or job. Just because you learned data science doesn’t mean you will automatically get interviews and land a data science job. There’s more to it that I break down in this video 🙂

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Timestamps

00:00 Intro
01:19 Framework
01:34 Transitioning into data science
04:31 Students
06:22 Summary
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Links mentioned in video

Ken Jee’s 66daysofdata (highly recommend for everybody!):
https://www.youtube.com/watch?v=qV_AlRwhI3I
Data science projects for students:
https://www.youtube.com/watch?v=2goqyY5XBeI
Data science projects for non-students:
https://www.youtube.com/watch?v=eAgv2-XBIac&t=120s
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Other videos you might be interested in

How to learn data science in 2021:
https://www.youtube.com/watch?v=Axu4tJl8gbM
The resume that got me into FAANG as a data scientist:
https://www.youtube.com/watch?v=vx-x-yXXE9I

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Subscribe: https://www.youtube.com/channel/UC2UXDak6o7rBm23k3Vv5dww/?sub_confirmation=1
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Real SQL interview question walkthrough series:
https://www.youtube.com/watch?v=Td-cmLfQ7uU&list=PLVD3APpfd1tuXrXBWAntLx4tNaONro5dA

Check out StrataScratch for SQL interview prep:
https://stratascratch.com/?via=tina
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About me

Hi, my name is Tina and I’m a data scientist at a FAANG company. I was pre-med studying pharmacology at the University of Toronto until I finally accepted that I would make a terrible doctor. I didn’t know what to do with myself so I worked for a year as a research assistant for a bioinformatics lab where I learned how to code and became interested in data science. I then did a masters in computer science (MCIT) at the University of Pennsylvania before ending up at my current job in tech 🙂

I have accepted that I will forever be a lazy person so have since decided to embrace that. My motto is to always minimize effort and maximize outcome!
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Contact

youtube: youtube comments are by far the best way to get a response from me!
linkedin: https://www.linkedin.com/in/tinaw-h/ (second preferred but I might suck at responding)
email: hellotinah@gmail.com

*If you’re reaching out through linkedin or email, please leave a youtube comment just letting me know that you reached out 🙂
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*The StrataScratch affiliate program give me a small portion of the sales price at no cost to you. I’m currently not monetized and really appreciate your support in helping improve this channel! 🙂

#DataScienceProject #DataScienceJob #DataScience #TinaHuang

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Comment List

  • Tina Huang
    January 24, 2021

    Tina is a🔥🤓

  • Tina Huang
    January 24, 2021

    Nobody, not even a single soul:
    Tina Huang: I'm about to start this hopeless subscriber's entire career.

  • Tina Huang
    January 24, 2021

    Great advice, loving your videos!

  • Tina Huang
    January 24, 2021

    Hello Tina, i tried to follow you on LinkedIn but the option isn't available, just letting you know that the option is not there 🙂

  • Tina Huang
    January 24, 2021

    Hi Tina, you make me want to make my first comment on Youtube – your videos are SUPER helpful and please keep making more interesting and insightful videos! I am actually thinking of transitioning to data science from a business background and you gave me a lot of useful tips that solves my confusion 🙂

  • Tina Huang
    January 24, 2021

    Hi Tina, could you please suggest some sources from where I can get some banks liquidity data sets.

  • Tina Huang
    January 24, 2021

    Great video. School recruiting is indeed awesome. Finding jobs after you are in the midst of your career is such a goddamn pain. Ironically, there is a point where the more experience you have, the harder it is for 2 reasons: your pay grade is much higher and companies are not entirely certain whether you know what the hell is going on anymore. This is especially true in data science where significant advancements happen even over the course of a single year (e.g. transformers for sequence-to-sequence in 2017). If you want to jump around from company to company to increase your pay and get diverse experience, do it relatively early in your career. It becomes harder to make those jumps once you push into management.

  • Tina Huang
    January 24, 2021

    How useful do you think having a scientific publication, featuring ML heavily, is to finding your first DS job? Can I put it in my CV if it is still in review or on arXiv?

  • Tina Huang
    January 24, 2021

    Just started watching the video. But please make a video on data science projects.

  • Tina Huang
    January 24, 2021

    Hi Tina," Udemy – Python for Data Science and Machine Learning Bootcamp" is it enough for learning python properly to start working in deep learning sector?

  • Tina Huang
    January 24, 2021

    I have noticed that experimentation skills such as A/B testing show up consistently in multiple data science new grad postings. How do you suggest a student demonstrate these skills on their resume?

  • Tina Huang
    January 24, 2021

    Tina, have you seen a scenario where non US citizens get a data science job for a European or American company? If so, please do a video on how

  • Tina Huang
    January 24, 2021

    I'm a Ocean Sciences BSc and now I'm starting another degree in Information Systems. Your channel is motivating me to follow the Data Science path. Keep up the awesome work!

  • Tina Huang
    January 24, 2021

    Love your videos very helpful:) keep em coming;)

  • Tina Huang
    January 24, 2021

    this is very helpful, Tina, thanks.

  • Tina Huang
    January 24, 2021

    Directly echoes what my military transition mentor told me…. as well as Ken Jee. Sounds like good advice!

    Also Tina, your videos get better every time. Love the editing and sound work here.

  • Tina Huang
    January 24, 2021

    What matters more i mean which should i write in my resume, the dummy projects we made in courses or the real projects like i can make for neighbour's grocery store or on freelancing

  • Tina Huang
    January 24, 2021

    I'm a lil early lol.

  • Tina Huang
    January 24, 2021

    What’s your take on dataquest

  • Tina Huang
    January 24, 2021

    Helpful

  • Tina Huang
    January 24, 2021

    Hi

  • Tina Huang
    January 24, 2021

    Hi

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