Data Science VS Software Engineering - Pros & Cons, Salary & Job Security info to help you choose

#datascience #softwareengineering #techjobs

If you need help deciding between data science and software engineering this in-depth career comparison is for you! We will go over what working in each job is like, including pros and cons, total compensation info ($$$) and the long-term job landscape for each one, including how they will both be affected by AI and other technological advancements!

Timestamps
Intro and overview - 0:00
Job comparison, similarities and differences, pros & cons - 1:42
Salary and total compensation comparison - 8:53
Job landscape and long-term job security - 10:30
Final tips to help you choose - 13:46

** note: the links below are affiliate links, meaning I receive a small referral commission

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And finally, for data people who didn’t major in computer science and are tired of getting made fun of by software engineers:

Most responsive on YouTube comments, but you can also find me here:
TikTok: damselindata
IG: damselindata

[damselindata]

Let me know which one I made sound more appealing 😏

[nature_nd]

I’m an advisor over two software engineering groups and a group with data scientists and data engineers. One thing I’ve found is that if you have even a year as a software engineer, you have a solid understanding of the lifecycle, and that will make your life as a data scientist or data engineer much better!

[borna]

Data Science is like Batman, donning a cape of statistical prowess and harnessing the power of algorithms to fight the forces of uncertainty. Meanwhile, Software Engineering is Robin, the trusty sidekick, armed with lines of code and ready to bring structure and efficiency to Batman's data-driven adventures. Together, they form a dynamic duo.
Data scientists, (Batman), enjoy impressive salaries as their analytical prowess unlocks valuable insights, while software engineers(Robin), provide essential support with good job security, constructing the digital infrastructure that keeps the crime-fighting team running smoothly.

[sailedship]

Great analysis. Just adding that software engineers also optimize. In fact, they optimize and fix more than they build. And that's where the stress comes from because things tend to break or is compatible with some devices, platforms and clients/browsers but not others . Or those that were previously compatible have updated and are no longer abiding.programming is always evolving and functions get deprecated and frameworks outdated. So if you don't upgrade your knowledge to the new technologies, you become unemployable .Statistics and math are consistent, you just need to learn them once.

[catalinagalan]

Excellent video! I have been looking for a good comparative description of the actual roles for a while. You explained it perfectly 👌🏼✨

[ms.p]

Always so informative and delivered in a easy, light and humorous way. Looking forward to the next video!

[Hehehehev]

I found a video which has all the answer to my question. Thank you sis.

[FernandaMonroe-hx]

Girl you ate it!!! That was one of the best videos about this topic that I have watched, if not the best. Really good infos and well presented. Thanks for sharing it!

[guiasingeek]

new video! I am glad you are back to post! A lot more video production now hahaha it was already good, but now better! Congrats and thanks!

[jatinraheja]

Your video solved my all the doubts I have for Software Engineering and Data Science roles. Thanks for giving pros and cons of both the fields. Love from India 🇮🇳

[ferwarrior]

I took the postgraduate in Data Science and Analytics business, because I wanted learn machine learning and AI and yes I got it. Obviously with +12 working in IT, was easy to learn; but what surprised when I sent my resume to many companies that offered job like DS or SW Engineering I was rejected because I don't have experience in this subject. jajajajaa. Well, expert in SQL, ETL, databases, dashboarding, code and working with technologies more complicated like SAP and I was rejected.Maybe I had to say that I didn't know anything about technology to enter as a junior.... that's incredible.

[msmariarachel]

This is the first video I've watched in your channel and i love you already! You're awesome! :)

[chibuikemefugha]

Wow, I have seen one of the best presenters on YouTube.
Obviously from your communication and presentation skill, I will strongly say you are a good fit for the data science role. Nice one and keep up the good work. Hopefully someday we work as a team of data scientists, Lol😂

[theroninpianist]

"Concrete, predictable and defined as a role" that's what I want all day every day, sign me up for sw engineering.

[caiomatos]

Awesome video, I loved it!!! You explained so well, my expectations were low, but you nailed it! Thank you so much =D

[binry_dstructr]

Although my job title is Data Scientist, I do write code which will eventually (hopefully) get pushed to production. Since I own the code, my manager will totally call me at 2am to fix it if something breaks. This hasn't happened yet and hopefully never will, but I don't see it as a rarity. If you're working on an app that's crucial to the company and the app incorporates data science/machine learning functionality, be prepared to get your beauty sleep ruined if stuff goes wrong and it's your fault.

[JakubGaniaSoftware]

Helpful information! BTW I just found your channel now and I see other interesting content on it.

[sahiljoharle]

I was confused between better software and data and i am sold on data now it seems like me i can imagine having fun in DS thank you so much for this video

[i_youtube_]

If you don't like math and data analysis and you still want to switch to a data role then choose data engineer role.

[LeeroyPia-kyfu]

I love the video I'm a one of student in Datec learning center port Moresby Papua New Guinea I'm struggling to become one of data scientist in the future the video really inspired me 💗💗💗🙏