I Quit My Data Science Job. Here’s Why

[@annaczgli2983]

As insightful as always, Richard. Your words at the end, have been something I've been contemplating since a while now. It resulted in a switch to management, rather than stay in a Data Science technical role - a switch I'm really glad I made.

[@timme6933]

Ramble on...variety is the spice of life, large raises important, a good boss is priceless.

[@reducibly_complex]

Enjoy your concise but nuanced take. Keep up the good work!

[@TheStealthPawn]

Regulatory stuff is actually a big reason I went to DS from Biostat lol. Turned out actually DS in biotech did more actual statistics/ML modeling than biostat in biotech

[@RichardOnData]

Yep, that's not too surprising. You're probably still going to run into a lot of SAS into the biostat world too, and that's not something I would recommend anybody spend too much of their time in.

[@lexiebullock9871]

wow the quality of your videos has greatly improved from the camera quality/positioning to even the way you speak, you seem a lot more comfortable!

[@carloscarmona-ng4xv]

I really really loved the insight of having a higher top down view as a people manager, using a "capped" data science skillset to be a phenomenal manager really hit home with me. could you possibly make a video just on this subject? my father was a chemist and he convinced his boss its easier to train a chemist to sell than visa-versa. this is also true of data scientist to manager or even CEO as you are data mining people for their particular insights by just words but by picking the right questions to ask in DS. consider making a video on this and the DS field just grew by 500%!

[@dmitry503]

Thanks for the great video Richard! It was really interesting to learn about those nuances in the medical/pharmacy field. And I would really appreciate it if you make a video and share some common data problems/tasks in the field DS faces on a regular basis.

[@alejandroabraham4888]

Long Live R, still kudos in the new experience Richard.

[@mistakenhat-CHNO]

This is a great, honest, and informative video. Really appreciate you talking so openly about these topics and also for all your insights into the field. Thanks again Richard!

[@ouroboros7388]

Thank you a lot for your help, with routes to take/routes to take on this journey that data science is!

[@gkwebmasters]

9:41 "Am I going to be a data scientist forever?", I say, train a model to predict that response 🤣 Love your videos man 🙌

[@prigithjoseph7018]

Hello Man, best industry turn into in the future, is agricultural sector. Believe me, it will be not longer, people have to produce basic food requirements by themselves.

[@sapitron]

currently transitioning from school bus driver to data scientist. any advice on how to publish portfolios? personal websites or github ?

[@quantumality0084]

So i will be starting my bachelors in data science in fall of this year and i am worried that at the time of graduation in 2027 data science in particular will be easily automated, are my concerns valid?

[@Rex_793]

Hi Richard, I was in the healthcare industry previously and now I'm a Data Science intern working in the healthcare industry, and I'm starting to feel the same way you do. I wanted to use my previous experience to help, but I'm finding all these regulations and limitations restricting as well as the learning/tech issues you faced too... I think watching this helped me realize that I should explore other industries as well...hopefully I find something that interests me before I graduate 😅

[@ЛексусФольксваген]

Hi, I'm just learning R!😌

[@SC-bi6my]

Do you think that R is less competitive in finding jobs than Python ? I just start learning R and find that R is easier for me ...

[@Bmartacus800]

We need a update

[@samsonkiflom5954]

I smashed that like button 😄

[@senantiasa]

How about looking for work in the healthcare industry in another country where the regulations aren't so tight and where the people don't even care about privacy? I remember reading local news about why many students from 1st world country study in my country (third world). They brought up the fact that it's more difficult for them to practice on real patients because of the regulations in their home country, but in my country the poor don't care if they're being treated by students or by doctors, so these students eventually can go back to their first world country and already have the experiences like any real doctor compared to their fellow countrymen who mostly only learned theories of how to become a doctor. I do believe that privacy and certifications for legal practice are important, but sometimes regulations in the developed world can be so limiting even for people who want to do good and know what they're doing. So, who knows maybe one day you can implement the knowledge you've gained from working in a developing country back in your home country..

[@MrAbhimufc]

My background is BSc statistics and MSc in Applied Statistics and data mining. I've wanted to switch from being a data analyst in finance to Data Analysis/science in healthcare. Would like to discuss some of the queries I have, with you. Do let me know if there's a mail ID I can reach out to you on. Thanks.

[@tertia0011]

Data Science is such a wrangle. I'd quit my job too.

[@tourettesdisorder2]

It’s time to say goodbye, but I think goodbyes are sad, and I’d much rather say hello

[@climbscience4813]

Very insightful! I have a question related to the way that data scientists work typically: How many of the data scientist jobs can be done remotely? I am specifically asking because I am very much bound to where I live (familiy ties) and my background is stronger in engineering, so having the option to work remotely would be an inclination for me to go further into data science professionally. Does anyone have some deeper insight into this?

[@Cameron_David_]

Click bait

[@jtcothran]

appreciate the generalist commentary, now please express as functions in R and/or python with damping factors for age, family, children factors preferably using statistical techniques which are novel or underutilized for the analysis ;)

[@fernandourrutia2566]