Data Science Jobs Explained in 5 Minutes

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When looking for a job in this field, remember that working with data is a metaskill; there’s not only one specific skillset required to succeed in this line of work.
Companies recruit for various roles, and each of these positions requires different competencies. So, our aim today is to describe who does what and how data professionals with different job titles contribute to a business.
The video describes 10 roles that are part of the larger data science job family.
00:00-00:18 Data science is a metaskill
00:18-00:30 List of data science job roles
00:30-01:13 Data strategist
01:13-01:39 Data architect
01:39-02:23 Data engineer
02:23-02:42 Let's briefly pause the clock!
02:42-03:05 Data analyst
03:05-03:37 BI analyst
03:37-03:52 Traditional data scientist
03:52-04:00 Research scientist
04:00-04:27 Applied scientist
04:27-04:48 ML Ops Engineer
04:48-05:12 Data product manager
05:12-05:28 Comment, like, and subscribe;)
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[@365DataScience]

🚀Sign up for Our Complete Data Science Training with 57% OFF: bit.ly/3sGBk7a

[@TinaHuang1]

This is so comprehensive and in 5 minutes!! 👏👏

[@paulemmanuel7398]

Hey Tina. Happy to see you. I've been missing your videos. Totally rooting for you.

[@1243576891]

This video is underrated. Pretty informative and concise!

[@gbanaibolouburutolu6476]

Fantastic video! Well-explained. I would like to see a comprehensive Data Strategy course.

[@georgikrustev2179]

Great video

[@estrella29100]

Great video, very interesting, but what about the new role that has come with the modern data stack, the analytics engineer?

[@365DataScience]

Thank you!! We missed covering the analytics engineer role. We'll add this to our 'to-do' list.

[@vick7oria]

Thanks for the amazing video! It's great how much information you deliver under 5 minutes! 🤯 Please, keep this format. I'm obsessed with it. 😍

[@lbognini]

This is tupid.

[@vick7oria]

@@lbognini thank you for your opinion. You might be a professional in this area, but I am not and I find this video very helpful. 😊 I wish you a great day. ❤️

[@lbognini]

@@vick7oria I'm not talking about you or your comment. I'm just saying there's no point fitting a video in a 5 mn timeframe while no one can watch it in 5 mn, just for the shake of self-flaterry. People wast too much time because they have to pause or rewind the video every 5 to 10 secondes. At the end, we spend 10 to 15 mn to watch the entire video. He thinks he makes people save time. In reality, he makes us wast our precious time. The content is great, thought. A normal flow would have been great too. I will never dare to hurt such a cute lady! 😉❤️

[@vick7oria]

@@lbognini I'm sorry but I cannot agree with you. I didn't had to stop and rewind the video to understand what they're talking about. The information is well gathered and simplified for the purposes of this video. And I can see how much effort they've put to create such type of content. Also, the level of professionalism is just wow. This is quality 👌🏻 Maybe it's not your type of content and that's okay, everybody has a different learning and comprehending speed. Thanks for your points, once you've cleared them, it's easier to communicate, but please try not to put such labels as "stupid". ❤️

[@lbognini]

@@vick7oria Ok. You're right. Stupid was not appropriate. FYI, I am a software engineer with also a degree in statistics, moving into the fields of AI and data science since a good while. There was nothing really new for me and I'm used to this type of content and none of the most followed and liked channels try to race against time. They take time to clearly explain things. It's true I'm not a native english speaker. This may have biased my opinion but I never had this feeling with other videos. 😉 And I was mainly talking on behalf of new learners. Well, I'm sorry I was a bit rude. Pleased to have talked to you. ❤️

[@hackerman5764]

Basically, your job as a data role is to implement the technical means used to figure out which schemes, gimmicks, software features, etc increase sales/revenue by some small percentage.

[@monstrousamigo]

Thanks, I got bored in most explanation, but this is an amazing fast and understandable

[@365DataScience]

Thanks so much!! Really appreciate it!

[@vectoralphaAI]

which ones of those are the most entry level for someone straight out of college and no experience.

[@shadow6161]

for someone who want to become an expert should go through data engineer >> then data analyst >> then data scientist with ML concepts ...

[@bernietabuzo8580]

Thanks for the super informative videos ☺️ now I know what should i pursue in data science 🔭

[@365DataScience]

Thanks so much for the positive feedback! Highly appreciated!

[@ibrahiimycl]

I am looking for a colleague to advance in the field of data science, someone I can exchange ideas with and learn together

[@lelacshop1635]

❤❤❤

[@365DataScience]

Much appreciated!!

[@x80085k]

So im assuming you’re a data scientist?

[@lbognini]

I liked the video because I tend to encourage any effort towards sharing knowledge. Yet, I think it's a bit stupid to try to run against the clock and not even given any time to your graphics to appear on the screen. We don't care if you present it in 5 or 10 mns. We just want the content to be right to the point and concise but presented in a normal flow. And please, don't dare to talk about slowing down the video.