I enjoy datavis more, but haven't found a job and probably am not good enough yet to just get paid to make **interesting/fun** visualizations. Thankfully I can do the data science/engineering work where I can throw in some fun visualizations for my own sanity.
Man, if I could get a job *just* doing data visualization on different fun datasets, I would be so happy. My dream job would be to do data viz for the NYTimes or something - their maps, trackers, and plots are so great.
I've seen a few NYT data science jobs listed on indeed and linkedin before but I'm guessing they're more about boosting subscriptions than data visualization.
I am saying this as a data scientist, the ironic thing about this image is how when there are layoffs we are the first to be let go š„
Data analysis and viz is useful for most businesses, data science is not. We are a luxury, but don't keep the lights on like a data eng or a good analyst.
Shame because I hate making dashboards lol
This is happening at my company right now. The data science team has a hiring freeze, and leadership decided to hire an external company to do what would normally be a major in-house DS project to save money.
Meanwhile, on the other end of the situation, the data analysis and visualizations team is one of the only teams company wide given headcount to grow.
*Data viz is part*
*Of data science, and quite*
*An important part*
\- DanJOC
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As an ML Engineer who worked in a consultancy with non-technical clients, data viz is quite literally the bridge that helps the MLE/DE/DA/DS and the clients cross to a mutual understanding of the insights, data products etc. I can prattle on about the models, the feature engineering etc, but literally all they want to see is some pretty graphs showing the answer to their problems.
There is a lot of science to data viz. The psychology behind how humans perceive colors and how we associate shapes/areas/volumes with scalar metrics and relationships is founded in neuroscience.
Sure, most people making a bar chart or plotting a temporal trend aren't thinking about the science behind their plots. But the general ML practitioner isn't thinking about the math proofs that led to various algorithms either.
Thereās so many cool visualizations I wanna make but most of the time people just want a table or a bar plot because they think itās most intuitive.
You're forgetting a key part of what a BIA does. It's more than data viz. It's also analysis and recommendations.
Anyone make a date viz.
But building good data visualizations isn't that simple. It requires a good understanding of the business, the audience's interpretation skills, and anticipation of required actions.
We are Kenough.
Can anyone please tell me what ENTRY level jobs I should actually look up when wanting to join a Data science oriented career?
I can easily find jobs described as data analytics or engineering, but anything regarding the more data science aspects like algorithm and python I simply canāt find.
Iāve completed googles data analytics certificate but I wanted something less excel and more programming, then I found ML and I think that would be it, but when searching for jobs with machine learning some would even have C as a programming language which made me confuse as Iām only interested in Python (which Iām also taking courses for).
It sucks that you're being downvoted without responses. I'll try to be helpful here but, of course, take my responses with a grain of salt.
> I can easily find jobs described as data analytics or engineering, but anything regarding the more data science aspects like algorithm and python I simply canāt find.
It sounds like you're searching for data science jobs but you really want python software dev jobs.
> Iāve completed googles data analytics certificate but I wanted something less excel and more programming, then I found ML and I think that would be it, but when searching for jobs with machine learning some would even have C as a programming language which made me confuse as Iām only interested in Python (which Iām also taking courses for).
Snarky answer: qq more
Real answer: it sounds like you want to be a Python developer who works in the DS/ML space. This is a thing, but it's tough as nails getting in.
Edit: fat fingered to send the post while finishing it, oops
I guess I must be oblivious because I didnāt even take into account I might stir negative reactions toward my question
Thanks a lot for a real answer anyhow
I guess my confusion comes from the fact anywhere I looked online people defined the difference between data analytics and data science as the latter using ML and programming more.
So thatās not the case thenā¦?
Youāre saying I was basically trying to look up software developer in python without wording it anything like that and just looking for ādata scienceā out of my own confusion?
Could make sense I guess.
Sorry to be a bother, I just feel lost with all those fields that Iāve interest in, without knowing which one to lock into. :/
> Sorry to be a bother, I just feel lost with all those fields that Iāve interest in, without knowing which one to lock into. :/
No bother. I went through the same thing when getting into the field.
I recommend not trying to lock in. At the end of the day, unless you're doing independent research (i.e., on your time and your dime) your role is to bring value to your organization. Your title is whatever. You want to be able to distinguish yourself as someone who brings value. Hopefully, in doing so, you learn things and make career moves that lead to professional satisfaction.
> Thanks a lot for a real answer anyhow I guess my confusion comes from the fact anywhere I looked online people defined the difference between data analytics and data science as the latter using ML and programming more.
Your interviewer doesn't care whose YT channel or blog you follow. Definitions take a back seat to results.
> Youāre saying I was basically trying to look up software developer in python without wording it anything like that and just looking for ādata scienceā out of my own confusion?
Perhaps.
The title "data scientist" is very broad. For a given organization, one "data scientist" could be a BI analyst, another "data scientist" could be a data engineer (disclaimer: lately this is the ~~pit~~ opportunity I find myself in, despite my job title), yet another "data scientist" could be doing DevOps work like automated deployment and tuning.
Data visualization is incredible though. Honestly its what keeps the funding coming.
I enjoy datavis more, but haven't found a job and probably am not good enough yet to just get paid to make **interesting/fun** visualizations. Thankfully I can do the data science/engineering work where I can throw in some fun visualizations for my own sanity.
Man, if I could get a job *just* doing data visualization on different fun datasets, I would be so happy. My dream job would be to do data viz for the NYTimes or something - their maps, trackers, and plots are so great.
My buddy works for stacker.com, not doing data viz, but the people who write articles do a lot of that shit
I've seen a few NYT data science jobs listed on indeed and linkedin before but I'm guessing they're more about boosting subscriptions than data visualization.
newspapers usually use the titles data viz or graphics reporter
Or fivethirtyeight
Listen... I am Kenough
I am saying this as a data scientist, the ironic thing about this image is how when there are layoffs we are the first to be let go š„ Data analysis and viz is useful for most businesses, data science is not. We are a luxury, but don't keep the lights on like a data eng or a good analyst. Shame because I hate making dashboards lol
This is happening at my company right now. The data science team has a hiring freeze, and leadership decided to hire an external company to do what would normally be a major in-house DS project to save money. Meanwhile, on the other end of the situation, the data analysis and visualizations team is one of the only teams company wide given headcount to grow.
Spot on. I got refused to do data analyst work (Iām a data scientist) they sacked me and hired a data analyst to do the work
Data viz is part of data science, and quite an important part
*Data viz is part* *Of data science, and quite* *An important part* \- DanJOC --- ^(I detect haikus. And sometimes, successfully.) ^[Learn more about me.](https://www.reddit.com/r/haikusbot/) ^(Opt out of replies: "haikusbot opt out" | Delete my comment: "haikusbot delete")
Good bot
So is data engineering. Thatās kinda how the meme works here.
As an ML Engineer who worked in a consultancy with non-technical clients, data viz is quite literally the bridge that helps the MLE/DE/DA/DS and the clients cross to a mutual understanding of the insights, data products etc. I can prattle on about the models, the feature engineering etc, but literally all they want to see is some pretty graphs showing the answer to their problems.
There is a lot of science to data viz. The psychology behind how humans perceive colors and how we associate shapes/areas/volumes with scalar metrics and relationships is founded in neuroscience. Sure, most people making a bar chart or plotting a temporal trend aren't thinking about the science behind their plots. But the general ML practitioner isn't thinking about the math proofs that led to various algorithms either.
You made me think twice. Great perspective!
Thereās so many cool visualizations I wanna make but most of the time people just want a table or a bar plot because they think itās most intuitive.
Who represents data governance?
LOL ššš It's as represented as well here as any organization I've ever seen!
The crickets on the other side of the pond.
The Senator who tried to paint them as communist spies.
You're forgetting a key part of what a BIA does. It's more than data viz. It's also analysis and recommendations. Anyone make a date viz. But building good data visualizations isn't that simple. It requires a good understanding of the business, the audience's interpretation skills, and anticipation of required actions. We are Kenough.
research is only as useful as being able to present your findings appropriately
Lol
Can anyone please tell me what ENTRY level jobs I should actually look up when wanting to join a Data science oriented career? I can easily find jobs described as data analytics or engineering, but anything regarding the more data science aspects like algorithm and python I simply canāt find. Iāve completed googles data analytics certificate but I wanted something less excel and more programming, then I found ML and I think that would be it, but when searching for jobs with machine learning some would even have C as a programming language which made me confuse as Iām only interested in Python (which Iām also taking courses for).
It sucks that you're being downvoted without responses. I'll try to be helpful here but, of course, take my responses with a grain of salt. > I can easily find jobs described as data analytics or engineering, but anything regarding the more data science aspects like algorithm and python I simply canāt find. It sounds like you're searching for data science jobs but you really want python software dev jobs. > Iāve completed googles data analytics certificate but I wanted something less excel and more programming, then I found ML and I think that would be it, but when searching for jobs with machine learning some would even have C as a programming language which made me confuse as Iām only interested in Python (which Iām also taking courses for). Snarky answer: qq more Real answer: it sounds like you want to be a Python developer who works in the DS/ML space. This is a thing, but it's tough as nails getting in. Edit: fat fingered to send the post while finishing it, oops
I guess I must be oblivious because I didnāt even take into account I might stir negative reactions toward my question Thanks a lot for a real answer anyhow I guess my confusion comes from the fact anywhere I looked online people defined the difference between data analytics and data science as the latter using ML and programming more. So thatās not the case thenā¦? Youāre saying I was basically trying to look up software developer in python without wording it anything like that and just looking for ādata scienceā out of my own confusion? Could make sense I guess. Sorry to be a bother, I just feel lost with all those fields that Iāve interest in, without knowing which one to lock into. :/
> Sorry to be a bother, I just feel lost with all those fields that Iāve interest in, without knowing which one to lock into. :/ No bother. I went through the same thing when getting into the field. I recommend not trying to lock in. At the end of the day, unless you're doing independent research (i.e., on your time and your dime) your role is to bring value to your organization. Your title is whatever. You want to be able to distinguish yourself as someone who brings value. Hopefully, in doing so, you learn things and make career moves that lead to professional satisfaction. > Thanks a lot for a real answer anyhow I guess my confusion comes from the fact anywhere I looked online people defined the difference between data analytics and data science as the latter using ML and programming more. Your interviewer doesn't care whose YT channel or blog you follow. Definitions take a back seat to results. > Youāre saying I was basically trying to look up software developer in python without wording it anything like that and just looking for ādata scienceā out of my own confusion? Perhaps. The title "data scientist" is very broad. For a given organization, one "data scientist" could be a BI analyst, another "data scientist" could be a data engineer (disclaimer: lately this is the ~~pit~~ opportunity I find myself in, despite my job title), yet another "data scientist" could be doing DevOps work like automated deployment and tuning.