FAANG isn't as great as people think. I've interviewed a few. FAANG companies are so huge that everything is compartmentalize. Their workers rarely get experience outside the one or two specific things they are aloud to do. As time goes by, non FAANG workers get diversified experience that are more useful.
Here's a 5th approach: lateral transition. If you already have a tech job (e.g., full-stack dev, cloud engineer, etc.), wait for an AI/ML/DS position to open up. It could be on your team or in another department. Making a lateral move in the same company is 10x easier than shotgunning your CV to people who do not know who you are.
Yes you're spot on, i'll be graduating in a stem degree thats mostly software engineering stuff and i would love to work for a small medium company where ill be doing a bit of everything.
I am alot more concerned about saturation and over saturation. When companies keep pushing their agenda about lack of Data and tech skills, it creates a demand which then leds to over supply of people with those skills.
I love The Data Nash community!
Great approach!! Ive been checking your content and its so good for data science enthusiast. Just subscribed :D
Thumbnail game hittin new highs ngl... Great content bro <3
Great piece of advice and spot on.
Hi brother I am from india and now learning Datascience but i have focus issues i am not able to focus on python coading for a long period of time please give me some advices to improve my focus
This is a video of all time
My friend is an international student desperately looking for data science job because if she doesn’t get a job, she will be deported in a month. She has some experience. If anybody has any advice, please reply to this comment.
this time they are still in school learning data science to fill in employers demand
the point about domain knowledge is very relevant, I did a BSc in Applied Math and Computer Science and now uhm struggling so much cause the program I did was so broad I am just stuck and its painful having wasted all those years. I would say people should study domain specific programs then if you wanna be a data scientist you can pick up a technical skill later. I now have to do a domain specific program just so I know about the domain I want to go into 😔😪
It's not that it's hard to find a data science job but it's hard to pass the interviews.
Just lie on your resume and make them think u already are working as a data scientist
this video so damn motivationg omggggggggggggggggggggggggggggggggggggg
I have about 1.5 years of experiance as working as an developer. But now I have also been without any jobbs for about 10 months. And have upgraded cv, added more stuff to my portfolio. And done courses and so on, but still not getting any results when searching for jobbs. Searching about 5-20 per day. Do you have any idea on what I can do different?
Always look forward to your videos man, and this one hit home! Currently in the states and definitely feeling the pinch of the supply-demand for DS jobs. Leveraging the numbers game is important, but, to your last point, so is playing the networking and value game!
Hey DataNyash I’m from Kenya! 5 months into Datascience , with an undergraduate in Actuarial Science. I’m also currently pursuing a Masters in Financial Engineering because I want to specialize in Business and Finance as a Data scientist . Would you say my Masters is valid in the Data science world ? Considering I’m really perfecting my projects for my Data portfolio as well combined with my background in Actuarial ? Thankyou for your videos really encouraging!
@datanash8200