This sensationalist clickbait title and thumbnail is really upsetting to see. It’s not justified at all in the tone of the video; see 6:20 “I think this is a good thing”. I understand there is pressure to create buzz around an inflammatory topic, but I also would consider it misinformation. There’s a teenager in the comments who was clearly affected in a negative way by this. Doesn’t seem worth it to me
@@SundasKhalid I see that you found the comment. Thanks for the reply. I appreciate your channel and have been a subscriber for some time and I will continue to support you. But I stand by my original comment.
The thing about data scientist role is that it sounds good, but it's actually almost always data analysis + data engineering. And most of the time it's data engineering stuff they are doing. Therefore, companies are starting to realize that they need data engineers not data scientists.
The tech field is always changing, and the scope of roles is continuously adjusted and realigned, but as long as you continue learning and growing, there will be a place to find a use for your skills. If you are learning python (or R), SQL, and statistics right now as part of your training, those are still valuable and important fundamental skills for anyone in the data pipeline.
The role is undergoing a shakeup, it's not really dying, the skills you pick up in a data science course are still going to be useful. As any relatively new profession has to change, adjust to the trend of high specialization. In that sense, we are going to be forced to choose a branch of this profession, and as someone said in another comment, this is going to favor the companies, surely the salaries are going to be lower. I think the title of the video is a bit exaggerated.
This is just a way for companies to still ask for advance skills while paying you less. Look at the difference in salary between data scientist and product analyst or any role with research in it
Well in my opinion it’s a good thing because a single job role has split up into two categories making it feasible for a data scientist to work in their favourite domain
People who are scared of the title of the video should understand that the title is like that to attract views (which isn't a bad thing). Essentially the change is a good thing as the roles are much clearer, allowing efficient job search and preparation. It will also push the researchers (who are usually highly qualified ) to research, leaving product analyst roles to people who are starting out analytics.
I feel like this is a response to Data Scientists doing pie-in-the-sky research that provides little value. Segmenting that role out to the phd types, and having the majority of DS focus on improving products that make the business $$$.
Finally they have started to realized. (Product/Business/Business Intelligence) Analyst is an upgrade to a Data Analyst role, which falls under the Data Analyst job stream. Please understand that this is not a segregation of DS role into DS and Product Analyst but a correction due to misconception and misunderstanding of job roles by the companies. This will help people to understand and align with their expectations and save a lot of time.
Yes it’s still a great career choice. I would suggest to stay up to date on how the role is evolving so you can keep up your education with the evolving data science job family.
Hi Sundas.... will you advice me to make transition in data science job family..... Is this job family still in demand in next 10 to 15 years down the line...???..Please answer...❤
Oh come on, you are just putting on click bait where as the actual topic you are talking about is completely different! It could be anomalous to “Is use of dairy products dying” when winter is coming and ice cream sale is going down but simultaneously milk is being used in almost everything it is just spread across various products
Hi Sundas, thank you for your videos technology changes every day, and the job rolls along with it, I have a question, what do you recommend me studying to become a data analyst? would it be Python, statistics in Excel plus SQL?
@Sundas Khalid, is it possible for you to expand more about the soft and technical skills that a person need to acquire for these two rolls? I am currently taking a Data Science/Business and I need to know where I should gear my studies. Thank you im advanced.
Why are you concerned? As I mentioned in the video, it’s a good change. Watch the video till the end to see what you can do to be prepared. No need to be scared.
Means what you are trying to say is because of this change.....data scientist can work in a specific field...like if i m expert in Macine learning only ...then also i can get job because of this change ....no need to have depth knowledge about every aspect like 1) Advance analytics 2) research work......if i m interested in machine learning , then companies can hire me as a data scientist expert in machine learning......so that data scientists who are expert in one of the area i mentioned above can get a job as a data scientist......am i right mam???? Plzz clear this doubt of mine..... thanku ❤
What’s the the pay difference at these companies between these roles? Does Product Analyst make less total comp at the equivalent level compared to Product Managers and DS Research ?
data scientists can no longer provide the models that businesses need. businesses are moving towards LLMs, commodity APIs and large scale systems. training custom models and maintaining them under the umbrella of data science is no longer makes business sense. the useful and valuable models are being created by engineers who can work with scale, most DS are not great engineers let alone scale engineers
Is ML Engineering, Data Enegineering or MLOps related to DS research? I'm actually a DS who is overwhelmed about the amount of knowledge and technologies that one have to learn to achive real impact. But I'm mostly interested in the Engineering side of DS. Would it be better to migrate to software Engineering? What's your advice for someone like me?
Hey Data Nash, I’m going to give a generic answer which is prob not what you are looking for. Id suggest to pick one that is aligned with your goals + job market. The biggest skill in data science space you can have is the ability to learn and evolve with it.
Clickbaity title - the data scientist role is evolving, not dying. It will be similar to business analyst or data analyst role in ten years' time - huge variation in work in the same role.
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This sensationalist clickbait title and thumbnail is really upsetting to see. It’s not justified at all in the tone of the video; see 6:20 “I think this is a good thing”. I understand there is pressure to create buzz around an inflammatory topic, but I also would consider it misinformation. There’s a teenager in the comments who was clearly affected in a negative way by this. Doesn’t seem worth it to me
I have just started my Data Analytics career this is scary 🙂
@@uzeyirktk6732 What is scary about it
@@uzeyirktk6732 same started the degree in business data analytics
Hey Will, which teenager in comments?
@@SundasKhalid I see that you found the comment. Thanks for the reply. I appreciate your channel and have been a subscriber for some time and I will continue to support you. But I stand by my original comment.
The thing about data scientist role is that it sounds good, but it's actually almost always data analysis + data engineering. And most of the time it's data engineering stuff they are doing. Therefore, companies are starting to realize that they need data engineers not data scientists.
It's been just a week of me starting to do some courses on becoming a data analyst and now seeing this video scares me.😢
same here tho! now I am confused about it, should I continue it or let it go! 😒😒
The tech field is always changing, and the scope of roles is continuously adjusted and realigned, but as long as you continue learning and growing, there will be a place to find a use for your skills. If you are learning python (or R), SQL, and statistics right now as part of your training, those are still valuable and important fundamental skills for anyone in the data pipeline.
Data Scientist jobs are dying but everybody agrees that Analysts (Data Analyst and Business Analyst) are still necessary (may be growing)
@@adamgomez2505😮
The role is undergoing a shakeup, it's not really dying, the skills you pick up in a data science course are still going to be useful. As any relatively new profession has to change, adjust to the trend of high specialization. In that sense, we are going to be forced to choose a branch of this profession, and as someone said in another comment, this is going to favor the companies, surely the salaries are going to be lower.
I think the title of the video is a bit exaggerated.
This is just a way for companies to still ask for advance skills while paying you less. Look at the difference in salary between data scientist and product analyst or any role with research in it
Well in my opinion it’s a good thing because a single job role has split up into two categories making it feasible for a data scientist to work in their favourite domain
I agree.
@@SundasKhalid do you edit your videos on your own or you hire editors?? If it is you then you have aced it and reaching slowly to master it. kudos!
People who are scared of the title of the video should understand that the title is like that to attract views (which isn't a bad thing). Essentially the change is a good thing as the roles are much clearer, allowing efficient job search and preparation. It will also push the researchers (who are usually highly qualified ) to research, leaving product analyst roles to people who are starting out analytics.
I feel like this is a response to Data Scientists doing pie-in-the-sky research that provides little value. Segmenting that role out to the phd types, and having the majority of DS focus on improving products that make the business $$$.
Your absolutely right
Finally they have started to realized. (Product/Business/Business Intelligence) Analyst is an upgrade to a Data Analyst role, which falls under the Data Analyst job stream.
Please understand that this is not a segregation of DS role into DS and Product Analyst but a correction due to misconception and misunderstanding of job roles by the companies. This will help people to understand and align with their expectations and save a lot of time.
what should we do ?
Do you think it’s still a good idea to major in data science and then specialize from there?
Yes it’s still a great career choice. I would suggest to stay up to date on how the role is evolving so you can keep up your education with the evolving data science job family.
Hi Sundas.... will you advice me to make transition in data science job family..... Is this job family still in demand in next 10 to 15 years down the line...???..Please answer...❤
Oh come on, you are just putting on click bait where as the actual topic you are talking about is completely different!
It could be anomalous to “Is use of dairy products dying” when winter is coming and ice cream sale is going down but simultaneously milk is being used in almost everything it is just spread across various products
I'm going to start a 2 year masters in data science this fall. Fucking hell. Now, people are saying that DS roles are dying.
Hi Sundas, thank you for your videos technology changes every day, and the job rolls along with it, I have a question, what do you recommend me studying to become a data analyst?
would it be Python, statistics in Excel plus SQL?
I'm 16 and I'm into data science field im completed learning python what are jobs that will stay in future or has nest scope?
How are the salary differences between the two?
I need a software can you help me I need to hack a game online or its times five seconds before the code show
@Sundas Khalid, is it possible for you to expand more about the soft and technical skills that a person need to acquire for these two rolls? I am currently taking a Data Science/Business and I need to know where I should gear my studies. Thank you im advanced.
As an aspiring data scientist teenager, this is concerning😢
Why?
Why are you concerned? As I mentioned in the video, it’s a good change. Watch the video till the end to see what you can do to be prepared. No need to be scared.
@Anogav teenager , don't try to acquire sympathy here , consider yourself lucky whatever you have ,
This is exactly why I demanded "Machine Learning Engineer" as my role title.
Thanks a lot for the update. For someone like me who is transitioning from another career path how do you advice I navigate this changing landscape?
Means what you are trying to say is because of this change.....data scientist can work in a specific field...like if i m expert in Macine learning only ...then also i can get job because of this change ....no need to have depth knowledge about every aspect like 1) Advance analytics 2) research work......if i m interested in machine learning , then companies can hire me as a data scientist expert in machine learning......so that data scientists who are expert in one of the area i mentioned above can get a job as a data scientist......am i right mam???? Plzz clear this doubt of mine..... thanku ❤
The scope of data scientist is large that I wondered how I can know all the rudiment. Its a good thing since the functions has being segregated.
What’s the the pay difference at these companies between these roles?
Does Product Analyst make less total comp at the equivalent level compared to Product Managers and DS Research ?
Data scientist would get paid more than product analyst.
data scientists can no longer provide the models that businesses need. businesses are moving towards LLMs, commodity APIs and large scale systems. training custom models and maintaining them under the umbrella of data science is no longer makes business sense. the useful and valuable models are being created by engineers who can work with scale, most DS are not great engineers let alone scale engineers
Any thoughts on the role of Growth Analyst vs. Product Analyst?
Hello mem...
Which one is best for freshers.. data scientist or analyst..
Now I am studying btech 2 year in COMPUTER SCIENCE Department
This is the best steps ever, the clickbait got me concerned.
Do Data Scientists focus on SQL? You mentioned machine learning?
Is ML Engineering, Data Enegineering or MLOps related to DS research?
I'm actually a DS who is overwhelmed about the amount of knowledge and technologies that one have to learn to achive real impact. But I'm mostly interested in the Engineering side of DS. Would it be better to migrate to software Engineering? What's your advice for someone like me?
migrate to Data engineering aways full of work
Please share and explain map for Data analytics and data scientist ...❤
I covered data scientist and data analyst roadmap in dedicated video in Jan. You can watch it on my channel.
@@SundasKhalid thanks mem
Interesting, hadn't known about this 😮. Its there one job family you recommend over the other
Big fan on your channel.
Hey Data Nash, I’m going to give a generic answer which is prob not what you are looking for. Id suggest to pick one that is aligned with your goals + job market. The biggest skill in data science space you can have is the ability to learn and evolve with it.
@@SundasKhalid that makes sense! I'm definitely a big fan of more the "research" side than the Analytics
@@ariyoabiona1606 thank you man 👊
Clickbaity title - the data scientist role is evolving, not dying. It will be similar to business analyst or data analyst role in ten years' time - huge variation in work in the same role.
Great information Khalid
Hello Sundas
How about the Data Analyst jobs? Please update . Thank you
I recently made my way in Bard. It also does not look like it is going to be a long term thing... :D
Really?
Yikes!!! I almost enroll for this course at a university!
this is so scary , the data scientist role would may not exist anymore ? :( what then ! :(
Good change and good video. But the title gave me an uneasy feeling. Don't do that please
Misleading title and thumbnail , didn't expect it from you
Til I am a product analyst
Then we will have to learn SQL. No, wait
I am from India 🫵 your big fan..... Your all videos very usefull
you believe or not.......but Data scientist domain is dying
How do you say so?
The domain is here to stay imo. Evolving would be the right word to describe the changes.
@@SundasKhalid
So you should change the title of the video. "Evolving" instead of "Dying" would make more sense in this context :-)
Why are you so cute ❤
Should I pursue in it or not ?Answer in yes or no 🥲🔪
no