This full-length interview will show you what a data science interview is like. This is a great video for anyone currently in the job-market for a data-focused role. It is also a solid video for anyone who wants a better understanding of the machine learning process. They cover topics that include building a dataset for training/testing purposes, feature vectorization, and model implementation details. Consider pausing after the question and thinking about how you would answer them.
Interviewer: @KeithGalli
Interviewee: @KylieYYing
⭐️ Contents ⭐️
⌨️ (0:00:00) Video overview & format
⌨️ (0:02:13) Introductory Behavioral questions
⌨️ (0:07:46) Social media platform bot issue task overview
⌨️ (0:15:26) What are some features we should investigate regarding the bot issue?
⌨️ (0:25:02) Classification model implementation details (using feature vectors)
⌨️ (0:41:38) What would a dataset to train models to detect bots look like? How would you approach collecting this data?
⌨️ (0:51:38) Technical implementation details (python libraries, cloud services, etc)
⌨️ (0:56:01) Any questions for me?
⌨️ (1:03:42) Post-interview breakdown & analysis
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Thanks for sharing this interview freeCodeCamp!!
I hope this video is helpful for you all. If you have any specific questions, feel free to reply to this comment and I'll do my best to respond 🤠
The job interview process can definitely be stressful. Try your best to not get too caught up with rejections, but instead focus on what you can control. Consistency in interview prep goes a long way. Get a little better each day. You got this!!
Elong tusk ceo of glitter 😂
This actually got me hyped for a job interview!
MIT…yeah because that's how we all start 😂
that was pretty intense at the beginning when he started asking about how would a email filter model look like or how would data set look like to feed the model… She went into implementation immediately which is a normal resort because how else can you defin the data set if your not gonna think of the function that might be doing the filtering. Overall was handled nicely from both sides. Thanks for sharing.
Incredible video! Nice job.
front end web developer mock interview please
Anyone noticed about mr elong tusk🤔
Can we have DevOps/ Cloud Engineer mock interviews too?
Can we have Game programmer mock interview please!
I don’t think this approach is quite right. You’re diving into models before any data analysis. Can we clearly define a bot? We need to look at sample bot accounts. How many different types of bots can we identify? What are the similarities between bot groups? Can all the different bot group feature values ranges fit inside a single data envelope or should we concentrate on identifying a single bot group at a time?
The amount of time the account has been active is prob a strong feature.
Where are bots coming from historically?
Are account names and profile pic very similar to an existing account?
There could also be an anti-dataset, where accounts that were classified as spam complained and got reinstated? This could help mitigate misclassification.
Ethically, could some demographics’ accounts be more susceptible to being wrongly classified as spam?
If you ever read the Twitter Privacy Policy, you’d know a lot more features Twitter can use to infer a user’s identity and authenticity, and therefore classify as spam.
I realize this might be something smart about catching spam bot that twitter is currently doing.
There is actually delayed pushed notifications to new posts. Whenever I receive a push notification of Elon's new posts I immediately clicked in and I can see from the time posted it is actually some time back, maybe minutes or tens of minutes back and whoever replying immediately to this post is a very good chance of being a spambot and this may be how the platform is catching spam bots nowadays by delaying push notifications to users. Brilliant!
Wow, thank you so much
Personally, I didn't like the interview. Probably it's something about the answers and personality of the interviewee. The answers seemed shallow and they were not discussed properly in detail, there were almost none real interesting and on-point follow-up questions from the interviewer
ChatGPT will replace us then why?
@freeCodeCamp Can we get a review of the data scientists courses with R?
How to enter mit ❔
cried meself to sleep when she said she has a masters
edit: the way she speaks about things omg, wow, I wanna be like her one day
Do these Interviews really take 1 hr and more? I’m just curious.
So mr tusk is hiring again, so soon? Seriously though, A software developer interview would be great.
Cool interview,
Wanted to add, the account's age would make a very good feature I guess
"You had me at 'Bachelors and Masters from MIT' 😁"
Very Nice , Post more content on Data Science!
this is the most reasonable interview I've ever seen, which ironically makes it somewhat unrealistic and useless.
This interview hurts me and no interviewer would accept this. ever.
This is a great interview, thanks for doing this! If only all data science interviews would be like this in reality (w/ some exceptions), the world would be a better place.
Great video, but next time can you please post a how would successful job interview look like?
1
don't look at screen, look at camera… focus on other person. be better prepared so U can ask and answer the Q's without looking to the sides. Also tech Q's should be as general as possible, for obvious reasons, getting into a technical discussion is taking my or the co. expertise, & PO and spreading it around.
I kinda surprisingly enjoyed this. I didn't even know when the interview started. Feels like two people having a convo about data science
Elon Tusk 😂😂😂.. Hilarious
Our CEO Mr Elon Tusk
♥️
"our CEO has been complaining…". I would fire this guy