Why you should not be a data scientist

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It's about learning, coding, and generally how to get your sh*t together c:
I've been a FAANG data scientist for over a year now. While that's not a lot of time, I've had the amazing opportunity to work with super star data scientists, be mentored by them, and even start mentoring more junior data scientists! I've learned a lot about what it actually means to be a data scientist. In this video, I talk about why you should not be a data scientist.
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⏰Timestamps
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00:00 Intro
01:14 CS, stats, business
03:48 scrappiness
05:53 constantly learning
07:39 the scientific method
09:32 marketing
11:19 the mistake a lot of people make
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🐈‍⬛🐈‍⬛About me
========================
Hi, my name is Tina and I'm a data scientist at a FAANG company. I was pre-med studying pharmacology at the University of Toronto until I finally accepted that I would make a terrible doctor. I didn't know what to do with myself so I worked for a year as a research assistant for a bioinformatics lab where I learned how to code and became interested in data science. I then did a masters in computer science (MCIT) at the University of Pennsylvania before ending up at my current job in tech :)
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#whynotdatascience #tech #datascience #tinahuang

[@TinaHuang1]

do you still want to be a data scientist? 🐈

[@saudmirza8442]

Well.. Not sure

[@kavyasingh1818]

Yes

[@sebisamuel2605]

After posting such a video when I was going through an existential crisis?? Well.... 🤡🤡🤡

[@shaileshtripathi7773]

Yes:)

[@nathanericschwabenland88888]

What is data if data is not film?

[@jacobrachiele4991]

We need to spend less time asking people what they want to be and more time asking them what problems they want to solve, what they want to build, or what kind of value they would like to create.

[@Sarah-re7cg]

Oh I like this!

[@divyaaaaaaaaaaaaaaa]

I agree 🚩

[@insiddious]

Yes. We need to give them problems to solve or let them pick their own rather than giving them designations that won't matter much in the long run

[@EbonySeraphim]

A person who's has a will to address substantial problems likely knows what problems they want to solve and finds what they should be doing on their own. Many many people really don't give a shit and just want to make money and get by comfortably and reliably as an adult. I would think a lot of people watching this very video are in that boat. Trust me, many people in any field only care about what they do to the extent that it puts food on the table and is a necessary function to get other benefits as an adult in life. I'm not trying to imply these people are miscreants or anything either. Some people, once they get deep enough find some satisfaction in what they do. Also, some people may genuinely have a hard time finding a problem they really care about that is also lucrative. Like they really want to focus on helping people, but not medically and social work is just...brutal and super low paying so they'd really rather pick something else they can tolerate and pays much much better.

[@valeriem3020]

This is exactly what sparked my interest in the field.

[@dertfert745]

Instead of dealing with the discomfort of whether I made the right decision, I decided to do a data science PhD so I have peace of mind knowing I made the wrong decision

[@geeenn2242]

If you fail once, do it 3 mores times so it can be statistically significant

[@kallihale5197]

@@geeenn2242 yes

[@gabriellapaula3896]

@Gee Enn, this made me giggle for a few hot seconds, huffing and all haha thank you for that! Weird tangent, maybe, but it's so funny how random, little things like this can make you leaving you feeling happy 🙈 Thanks for adding a warm touch to my night after an uneventful day 😅

[@jeannepaulinepeponette8043]

Here's a breakdown of the thought process: Doubt and uncertainty: The person is questioning whether their decision to pursue a data science career was the right choice. Seeking peace of mind: They want to alleviate the discomfort caused by this doubt. They desire a sense of certainty or closure regarding their career path. Pursuing a data science PhD: The individual decides to enroll in a data science PhD program. This choice is made to address their doubts and find peace of mind. Peace of mind in both cases: The person believes that by pursuing a data science PhD, they will have peace of mind regardless of whether their initial career choice was right or wrong. If their choice was right, they will have further validation and confidence. If it was wrong, they will have clarity and closure, knowing they explored the field in-depth.

[@liveyounganastasia]

this is the funniest comment

[@henryjiang9990]

Damn, a data scientist is just someone who is really good at a lot of hard things.

[@hieudoantrung6588]

Hence the deserving pay check 👍

[@mk-2]

IMPOSTER SYNDROME

[@Shannxy]

Just starting my masters and damn I did not expect this much math and statistics lmao

[@blakewood2755]

That's really well put into words.

[@yungmatt009]

@@Shannxy How are you adjusting?

[@KenJee_ds]

I only wanted to become a data scientist so I could buy fancy cat pots to put my plants in.

[@siddharthlal4183]

OP reason. 🔥🔥

[@milosdavidovic9833]

same!

[@TinaHuang1]

Can buy pots but how to keep plants alive is real question

[@muhammadfarooq812]

😂😂

[@observer698]

@@TinaHuang1 Yeah where is your ponytail??? don't tell me you ....!!!! :)

[@kauaiboy5o]

Daughter had a Romance Languages (French/Spanish) degree, became a math teacher, went to grad school in data science, and is now a data scientist working for a tech company in the Bay Area. In college she did not take CS nor math courses. She did have perfect SAT and ACT Math scores, she loves her job, and beats being a low paid teacher.

[@ghostlevelzero7446]

I've considered data science, but, for me, it'll come down to who wants to use the data and how. A lot of businesses want to use data science to increase profits, but I'm more interested in using data to discover things, help people, etc.

[@mariaritad6664]

that's exactly my situation as well! I'm at the first year of data analytics, which I guess is somewhat different from data science, but more or less we're in the same field, and the most prominent factor pushing me away when I hade to take my decision was actually the fear of working in an environment like the one you described. At the moment I'm going on because I think that data are so ubiquitous that I'll be able to find a job with some non profit organizations, maybe public organizations or something like that, where I can really feel I'm making my contribute to society (as trivial as it may sound), where I can help others as much as possible. At the same time, though, I'm still afraid this is just an illusion, and sometimes I find myself wondering whether I should reconsider or not my choice

[@mlynn9361]

@@mariaritad6664 I'm looking at analysis as well, and started learning some sql basics. Analysts are needed everywhere, even something like the EPA here in the US.

[@antman7673]

Very respectable mindset.

[@rtrogirll5526]

Try becoming a computational social scientist. Your undergrad degree means less and you can apply these methods to any discipline you want as long as you get a grab on the subject whether it’s psychology, sociology, politicial science, history :) You’ll love it.

[@canaydin9537]

I am very glad that there are people who think not only about profit. Good luck friend.

[@shiuanchangtan1174]

I've been considering taking a Master Degree in Data Science and Business Analytics and I was wondering what's like being a Data Scientist until I found your video!! Thanks KZbin and thanks Tina! I have more idea now!

[@semihkoc1995]

Im a Criminal Justice major my highest math Class taken was Pre Algebra grade was C- but I been a Data Scientist for 2 years. So…keep your hopes up and study

[@MYNAMEISKLAY]

How did you make the transition? I'm beginning the process of learning Python and SQL right now for independent learning and research purposes, but also may want to explore data and programming as an occupation.

[@semihkoc1995]

@@MYNAMEISKLAY ı been ı literally slept with SQL and VB for a year then took a 4 month course on Python and + my sixth interview I landed a job

[@semihkoc1995]

@@MYNAMEISKLAY start with SQL and visual basic only if you study Python with SQL you are gonna confuse yourself

[@MYNAMEISKLAY]

@@semihkoc1995 Thanks for the tips. It has definitely been a stressful week trying to figure out a plan of action. I'll get to concentrating my time on SQL and VB. Is SQL as a concept more straight forward than Python?

[@semihkoc1995]

@@MYNAMEISKLAY well no but try to understand backend first majority of the work is there

[@KS-bo6tq]

I've just applied to compsci for my undergrad and this totally reaffirmed my decision! Thanks for the vid, I'm looking forward to this line of work :)

[@Murtybey]

I just started my data science learning journey about a week ago. I had a very rough idea of what it involved but this video was extremely informative and just confirmed for me that data science definitely plays into a lot of my strengths. You've pretty much reinforced my decision and have motivated me more to continue learning. Thank you!

[@spaceageexp8679]

This is the video that inspired me to start my Data Science journey. I finished my first semester and am about to finish my summer sem. So far it’s been a blast. Thank you so much for helping me find my passion

[@ethos4066]

I've discovered this channel recently and I just love it! If you're open for suggestions then I'd appreciate if you'd make a video on what business knowledge is needed in data science. Thank you for the content and the vibe you're putting out there!

[@dantedt3931]

I totally agree with you. I'm in R&D(not exactly in Data Science but almost similar) and my skills are constantly challenged(Programming,Stats,Business). I realised that without the neck to troubleshoot problems for hours, being thrown in the deep end to come up with solutions and learning new tech skills fast can be frustrating. I'm from a Maths and Physics background, so it was a fairly easy transition. Money is a need, but i do what i do because i enjoy it. Great channel, subscribed.

[@madhusreechakraborty7374]

A data scientist for 7+ yrs... First time someone said the truth... I find a lot of juniors thinking data science is just coding and it is so hard explaining them the truth.. yes... Stats, coding, business.. but most important... Constant learning and marketing ur work...

[@chiefgee]

Is being a data analyst less or more rigorous than being a data scientist. I have a background is business and marketing and I have a lot of employers in my field requesting data analytical skills.

[@madhusreechakraborty7374]

@@chiefgee the line between data analysis and data science is very blur. And the coverage is also boundless. I would suggest u to understand what kind of analytical skills ur employers want and learn them. Eg. In my field we deal with mainly modelling techniques/GLMs/MLs. So I am good at that. But am not good at things like optimization s, text mining, image recognition, etc.

[@madhusreechakraborty7374]

@@chiefgee but the most important factor is to understand the business and the ability to explain ur work in as simple way as possible.

[@chiefgee]

@@madhusreechakraborty7374 well most employers are looking for personnel who are familiar with certain tools like Power BI or Tableau. I feel they don't really consider the fact that data analysis can be done using various tools.

[@chiefgee]

@@madhusreechakraborty7374 I totally agree, my background makes me more than capable with handling business aspect but my problem is the more we integrate data science with business the more it puts a strain in both fields. The role of the data scientist is to find better ways to translate data and for those business is to find efficient ways to generate revenue for a firm.

[@guynamedjoeFTW]

You pretty much explained why I decided to become a Data Scientist. My degrees are related to the 3 fields that you talked about (BSCS/MBA/MSBA).

[@wenbaoyu]

As someone who transferred from data science to data analysis I agree with every point here. Being in the everlasting learning process was particularly exhausting😅 Not that data analysis needs no learning but the intensity ds requires is of another level.

[@catherinei3526]

Can you explain the difference between data science and data analytics and maybe explain what you do now?

[@izzat2717]

@@catherinei3526 yeah I need explanation too

[@wenbaoyu]

@@catherinei3526 I believe it largely depends on how the company wants to differentiate them. In my former company the difference is that DS’s job requires them to build models by coding in Python or R, whereas DA normally doesn’t need to. Occasionally we built models by automated modeling tools, but we get our jobs done mostly using SQL and spreadsheets.

[@tianolamas7832]

@@wenbaoyu Curious about this, I'm currently on the higher coding side of Data Analyst, (use a lot of python) and debating if taking the leap towards data science since it feels like I have the skills for it. what would you say is a good way to bounce into data science from DA

[@wenbaoyu]

@@tianolamas7832 If your company has ds positions then simply push them to get you transferred. If not then emphasize modeling related projects and modeling skills such as a Kaggle profile on your resume.

[@cath117]

As as student, it would really help me to think I would still go in this career or not. Probably I would think on it a million times [lols] Thanks again, tina! Much love! 💛🤗

[@ezequielalmeida6378]

Wow, you're describing my dream job! Thank you, this is a very informative video as someone trying to get into this world

[@GriefHC]

Great video, Tina. Personally, I just entered the Data Analyst field. As a form of continuous learning, I’m studying DS in my free time. My hope is I can integrate my studies into actual application at work, even without an official Data Scientist position.

[@catmouse2882]

I'm looking to enroll in Google Data Analyst certification program. Is advanced math (Calculas, Linear Algebra) required to be Data Analyst? I know Data Science may require alot of math but I'm curious about Data Analyst.

[@jathebest2835]

​@@catmouse2882 I don't think so..!

[@tuaaut8836]

absolutely, correct. I need to learn new tools every year, do modifications if business people needs, doing all of the projects with time limits. And the hardest thing is to convince what I find out or propose is good for businesses where those who are in the meeting has no data science background

[@girishksahu]

Thanks Tina for sharing those awesome insights with real-world example and scenarios, very useful and helpful.

[@kayteeflick]

This got me so excited to be a data scientist - always learning (in different fields) and getting to continue being a scientist!!. It sounds great!

[@AlanSilva-bu1kp]

exactly!

[@modelblue429]

I'm gonna be a Data Scientist!! My bachelor's is in Business Analytics and my master's will be in Advanced Data Analytics!!

[@AsaruKhem]

Thanks so much for this. I was really torn between doing Data Science or software engineer but your description of data science fits more with my personality type.

[@Ibraheem_ElAnsari]

It's a really cool field. Sometimes I find myself reading newspaper articles to figure out the model components. Unfortunately the scrappiness thing is true even before starting the project - at least in Morocco - .. Idk why but everyone has different expectations and ideas about projects. From providing very little data to wanting to build an end to end web app in a few days .. But I did work on projects with people who know what they're doing and it was really awesome and rewarding.

[@LukeBarousse]

You convinced me! I'm gonna stay a data analyst! 🤓 Loved your perspective on this important topic Tina!! 💙

[@Atlas92936]

Man, you're a hella advanced DA!

[@TinaHuang1]

YAY 🐈‍⬛

[@hang2125]

Actually this video only encouraged me to continue education in this field. All the things you've mentioned are quite exciting and enjoyable to me. Seems like a perfect career path for a person like me, thank you for this vid!

[@denniskondratiuk4859]

I am just into this field and found your channel (praise the algorithm!). It is a gem! Keep up the good work.

[@Teodora4537x]

I’m currently a junior data scientist and I’ve been in such a slump over the past few months. I used to be able to do/enjoy these things. I’m slowly getting back in a better mindset, so this is weirdly motivating.

[@mykelayo]

hi how is it going? I'm also starting out

[@ambarkurniawati4047]

The video is really helpful, thank you. Everyone is always talking about the benefits of being a data scientist without telling about the negative side. But I still want to be a data scientist😊

[@DrickaArouche]

Hey, Tina! New subscriber here! Just wanted to say thank you for the content :) Just started my formal training in Data Science and it was quite comforting to see myself doing so many of the things you listed here. Thanks again :)

[@einhrn3618]

I'm starting Data Science at uni because of your videos, you inspire me a lot ✨♡ ♡ ♡

[@koipen]

The experiences in this video are (in my experience) things about working in big tech in general - no matter what role you are in you will always be learning new things, selling your work and connecting with business partners, and iterating on incomplete output. Based on some of the language you're using I think I can guess which company you're working for!

[@rolamonzer8137]

Thank you for reassuring me that I found the right field for me. I've done research in physics and it's very similar to what you explained minus the business part and plus a lot of complicated equations.

[@Witches_are_Real]

Now I'm convinced that this job is just perfect for me! Thank you! 💜

[@chancellorpalpatine3352]

To be the contrarian, my data science job is no where near as crazy as Tina's. 3 days? Is that guy insane? My advice to all you potential data scientists is to just take the lower (but still quite good) pay, get your ds job at a "normal" employer, and not touch the FANGs with a 50 foot pole.

[@MrBunny53]

No one wants to come to Palpatine with a tight deadline

[@mathewslisboa3718]

I don't wanna be a data scientist, but I must be a data scientist. And about the news tools, sometimes I feel as I'm not updated. Just like, I've studied 4 years of statistics and it's not enough to get what you need. All the time there's something new hahaha. But about the scientific method it's the part that I like the most, because I really like to do new significance discoveres with a method.

[@becayebalde3820]

Thank you for this video It helped me understand which courses I should take this year!

[@raulpalomares1092]

Thanks for being so objective and down to earth data scientist!

[@AndreTheBarbadian]

This is some heavy stuff to think about. To be honest the way I view it, I think a lot of people go into specific industries because of the salary and the lifestyle they want to live. Cost of living can be very expensive now days. If you can handle the day to day stress of something you do not enjoy for a living, that decision is on you. The rewards for some may be worth the risk for others guaranteed doom!

[@carolinatorres7575]

That was my situation. I was going to school for something I was very interested in, even if the salary wasnt great and its competitive. Over the years my priorities have changed and I rather do a job that pays really good even if I dont like it and live a good life and not struggle financially. So I'm changing my major. For my previous degree I would have made less than I make now with my current job (if i got a bachelors) which is crazy

[@Hiro-zg7qv]

Landed my first DS internship so hyped! Thanks for the tips Tina.

[@TinaHuang1]

Omg congrats!!! ‘🎉

[@good-tn9sr]

Congrats 🎊

[@arishali5975]

I’m looking for one atm can you share some tips

[@kazior6521]

Thank you for the video. There’s been a big push for HIM (Health Information Management) professionals, and healthcare professionals in general, to start building data science skills.

[@anna-878]

Thanks for that! Your insights are very accurate, you actually names why I love to be a data scientist!

[@shilpakarra9253]

I am not totally sure about whether or not I want to be a Data Scientist. The interest towards learning has been kind of gradual for me. But for now I can say that my inclination is more on the side of Data cleaning, Data modelling and Data visualisation. I might probably end up somewhere close to being a Data Analyst, Can't imagine beyond that for now. Checked for all points that you mentioned. Bang on. Except for the last one - Marketing one's own work. I am someone who believes strongly in my work speaking for myself rather than otherwise. Have been trying hard to change this mindset of mine. Might take a while but will get to it definitely. Thanks for this informative one. Helped me clear my mind about certain things. See you on the next livestream.

[@plavali_znaem]

I am 100% convinced that the last point has huge cultural component to it. Be it a working culture or a country you are working in. In some cultures it is not welcomed to market yourself, even though idea of marketing does exist and all. I just think it varies drastically from country to country, and the best thing is computer science is universal, so one can work remotely practically fro any country and company :)

[@jonesie8377]

Maybe a better word instead of marketing is communicating the business need. I’m not a formal data scientist but I feel like I knew what she meant. Most companies are on autopilot so even if you come up with something amazing you gotta know how to communicate that to people so it can be utilized.

[@Ffatima79]

Same 100%

[@paritejdan]

I love your content ❤️ I’m trying to do a transition from architecture to something else and I found your content very useful. Thank you Tina! 🌺

[@MrBunny53]

Why the transition from architecture?

[@paritejdan]

@@MrBunny53 main reason because Architect’s workload is so heavy, but they are extremely under paid! After I made my transition to Tech my salary went up 2.5 times ! 🤷🏻‍♀️

[@MediumSizedPizza]

OMG! I’m so happy you reached 100k+ subs. That’s awesome!

[@zhewang7214]

I can’t wait till your video is done to give you a thumb up! Very clear and sharp points, thank you so much!

[@Bbb78651]

This is a REALLY good video. Fortunately, I avoid checking all these boxes, which gives me satisfaction that I’m pursuing the right career as a data scientist. I hope you know your video helps from that angle too, Tina!

[@ertemesiner]

"What is this acronym?" is the best question there is. I ask it all the time, even for the most basic things... Why would people use them anyway? What do they do with the half-second they save while talking? Do they use it to fix the unnecessary confusion caused by the acronyms?

[@benjaminsnowdon1403]

Great vid! Actually made me want to study data science more! Thank you 😊

[@mitchellemhaka5689]

Hey Tina💛 I absolutely your channel and I'm on the journey to be a Data Scientist... It is overwhelming and and I'm not very sure where to start. I'm a Computer Science and Applied Mathematics student at the moment and I'm looking to land my first role (internship or even a junior role) but I'm not quite sure how to position myself so I'm considered for such positions. I know projects are important but I'm also struggling to choose the right one to start with. Your help is much appreciated☀️🌻

[@abigailbrown2410]

I was in the clear until the last one, the marketing! I'll take it as another chance to escape the confines of my comfort zone. Informative! Thank you!

[@yanamonos]

You're doing God's work, thank you so much for your inspiring and insightful videos!! Also, it's so so important seeing a fellow woman talk about these topics, it's really intimidating to see how male dominated this field is sometimes... I was considering switching fields for a while now, thank you for giving me the courage to finally start building the skill-set to take on this path :)

[@sydneydenham5778]

This is just getting me more excited to pursue data science!

[@Nedwin]

Nice video. Background, illustration vids, and the voice are really good!!

[@Narabedla4]

thanks for the convincing video to pursue my switch to data science and learn for it. This sounds honestly incredibly fun to me, even if it is a mountain to learn as someone who comes from a more conventional science without much CS or business experience (or even enough statistics for some reason, even though i think we would need that in uni etc. ) yet.

[@mrgenetics4063]

Hey Tina I have been watching your videos for a while now and I decided to quit my job as a research biology assistant (tired of being severely underpaid) to pursue a coding and data analysis career as a 30 yr old I am not sure what will happen but let’s see where it goes Cheers

[@TinaHuang1]

You got this! ❤️ can’t wait to see updates on your progress!

[@razrgu3838]

Good luck!

[@KemiS-M]

Chemistry grad and teacher or 7 years! Currently doing my masters in data sci. Good luuuuck!

[@TV5V]

dont quite job, start learning with job later Quite is you will be successful in learning

[@lr5497]

I’m also 30 and ready to get in a new career. I’m bored of the scope that my bachelor in administration! I want to get deeper into tech.

[@Cherryblossoms110]

When I looked at the chapters of this video, I was confused because every point you listed on why we shouldn't become a data scientist were all the reasons why I SHOULD become a data scientist. Thank you for giving me validation in my new path in life. I wasted away the past 3 years of my life because I despised Software Engineering. There's just too much requirement of loving and caring for the product that I lack. I wrongly believed SDE was the only path, so I couldn't find any motivation to finish my degree. But now I have a pretty good reason to get it over with.

[@PsychoSpiral]

Thank you for doing this vid. I guess I have to do more research and self-pondering if data analyst/data scientist is the right choice for me.

[@crystal14w]

I am a data scientist working more on the business side building a data strategy. I really love what I do, because I started as an industrial engineer and I changed majors to a business analytics degree. I started as a data engineer and moved towards become a data scientist because I wanted more impact in the business. The only downside is creativity, so I spend some time investing in that to keep me happy :)

[@kayamasha4685]

Hi, I am moving from engineering to Quants (which is similar to data scientist), I am interested in the business side too, and have internships in Strategy Consulting Please explain what type of things data strategy involves and what you mean by the downside being creativity?

[@crystal14w]

@@kayamasha4685 yeah, the data strategy including master data management, data governance, data security and looking into the adoption of technologies. I’m a creative person so I have to keep my hobbies because working in corporate doesn’t give you much room for creativity

[@syl7180]

@@crystal14w hey crystal, can I ask if you are currently having a Bachelor's Degree in Business Analytics and is a Data Scientist now? I'm also looking to do BA but not too sure if it will set me up for a job in data science

[@Rahul-xc5qe]

The scrappiness part is not something ive noticed anyone else bring up ! Love these awesome knowledge nuggets you drop aunty Tina

[@TechAtScale]

Incredible the number of things you're up to! I am going to take some of that inspiration back to my KZbin channel and life!

[@acleahcim]

i think this was one of the most helpful videos I've seen.... I think I have extensive business experience, and I do agree that learning the math and technical skills requires more effort. I think it's a field that requires you to remain humble.

[@marlenevrs]

I'm now finishing my bachelors degree in molecular biology and biotech, so I'm quite well trained in both bioinformatics and biostatistics, along with a lot of biology. But I realised that I'm not meant to be a traditional lab rat, because I'm very ADHD and constantly need stimulation, along with having a really wide field interest. So, I'm starting to learn to code to try and go into data science, cause I'm interested in literally everything. Or even bioinformatic science, if I do decide to go further in uni. I've always loved maths and it was my best subject through the years, and I've always wanted to learn coding and had a good knack for business. I've got the biggest need to keep learning, because I love knowledge and growing as a person. So I do think it might be a good field for me :)

[@RyeCA]

Same thing here!!

[@user-nv1yr5rl8q]

Do you plan to get second bachelors?

[@applestrudelle]

I'm currently a high school student hoping to become a data scientist one day, but I've heard from a lot of people it's a tough job :( I really want to pursue a degree related to IT though

[@kertamo6721]

This was very informative. Thank you!

[@JuliaMarieH]

I’m a disillusioned academic lab tech considering data science, and this video made me want to do it even more!! I pursued a research career because I love learning and figuring things out, but I hate academia and its pay grade. DS sounds perfect!!

[@dianadiaz32]

that's why I am studying data science for a major and finance for minor, so I have the code part and math/stats part

[@aleksjabonski6560]

I've just started my undergrad degree in economy and my university offers specialisation called 'Informatics and econometrics' from which you can progress to the masters degree in Data Science. Now I wonder if my never-ending will to learn new things and skills is enough of a reason for me to chose this academic route...

[@_guzheng7585]

Thank you for sharing. It's really informative. ^^

[@pathfinderjan]

Thank you for the inspiration. :) i like how it is connected to business and stat, where IT being my current/main skill in this interdisciplinary topic :) excited to take a grad course in relation to data science. :)

[@maisaferreira1584]

it smells bournout but in the same time sounds exciting

[@Senneeeuh]

as a DS for 3+ years, I can confirm this is a completely accurate summary of the job

[@ajtam05]

Yah...it's a very valuable skillset, but pay isn't exponentially better than i.e. Data Analyst so to me there's no justifiable reason to go for DS (unless you LOVE it). Sure...you could make 140-250K as a DS w/ more degrees, responsibilities, work/stress. But I'd rather be a Data Analyst...personally...making 90-120K w/ less work/stress/responsibilities & little to no education (you can work into the role). Rather live life than have a job title on my grave tombstone. At the end of the day...nobody cares what you did for a "job".

[@AirKillaJordan]

@@ajtam05 Booooooooooooooooooooooooo. You sound so weak!

[@ajtam05]

@@AirKillaJordan Right because people clearly say, “Oh my god…you’re a DS! Not like those weak DAs!”!!

[@ajtam05]

@@AirKillaJordan Unless you’re a dweeb, nobody gives a shit. Mind you most IT people are whether they say or know it. And to be clear…I’m in IT and a business data analyst. I love dweebs for their clear, concise, no nonsense & logical approaches to work. But again…….nobody in the “real world” gives a fraction a cent about any job title let alone “DS”.

[@alwynsmit6626]

Alternative solution "How do you know if someone is a data scientist?" they do 1 of these 3 things: -presses enter + shift when they meant to press enter -find it super cringey when anyone refers to average as anything but mean +- SD -or they know what hybrid polynomial piecewise regression is and only ever use linear regression lol bonus points if they know any power bi memes :D

[@nayl614]

I'm currently a 2nd year math student in college and still in confusion to take my minor degree whether actuaries or data science 😭 Then your video suddenly popped up in my youtube hehe. I just wanna say, thank you, Tina! I'll take this as an advice to think more about it hehe^^ I do think data science is kinda fun even tho the "fun" might follows with "eral" tho 😭

[@ritaojo533]

Thank you so much for this video!

[@melnjada2]

Ok, so some of these characteristics I lack, but they are things that I want to be working on. For example being scrappy with my work (as opposed to being a damn perfectionist) and marketing my job (as opposed to always staying in the shadows). Should I use this as a sign to join Data Science and work on these things, maybe it will force me get out of my comfort zone? Or should I just give up because it will be too hard?

[@NatashaMugwe]

Lol, my friends keep asking when I'll be done learning... My response: It never stops

[@tforaodg]

Learning is a life style

[@jupitersmoon_europa_]

I am on my first steps toward becoming a data scientist, this scared the hell out of me, but also got me all excited and hyped.

[@Rubosas]

I have a bachelors in fashion but now that I have a large history in making sales and profit for other companies, I am now taking and intro to SQL class just to see how I like it. I was considering going into data science but I am now more interested in data analytics. I am very results driven and have more passion with working with customer experience. Though my biggest weakness is math and statistics. Like not good. So we shall see how this goes! Thank you for your video!

[@fittiff7815]

My bachelors is in Industrial Engineering and working as an engineer, I agree with everything you said! I recently heard about data science again from a friend and I’m thinking about exploring this route now. IE is very heavy in math, statistics, forecasting and coding. Just wondering if a specific certificate is still needed or not..

[@abdullahajmal7595]

I am in Industrial Engineer as well. You would have to rediscover Statistics & Forecasting for Data science once you come to it. Also Take Certificate courses and an online portfolio, that will go a long way I guess. I myself am on this route but planning to get skilled in Data Analysis first and foremost.

[@fifima-au1493]

I am an industrial engineer working as a business intelligence analyst, doing my Meng in industrial engineering specializing in data science, really needs commitment and constant learning.

[@ifigetbannedagainyoutubeis2018]

Got my b.e in mechanical engineering and I'm bored of the working as a control room engineer. This seems interesting and remote work would be a blessing right now after being stuck in the same room for 12 hours a day

[@poltergeist7621]

In Spain a lot of companies ask for an engineer degree or DS Master to work in this field. Also being able to enter in a DS Master is difficult too if you don't have a tech/Business background

[@sevicore]

So true man

[@sevicore]

Que carrera tienes?

[@poltergeist7621]

@@sevicore Psicología. Aunque sé que hay gente de mi campo que ha acabado de Data Analyst haciendo el Master de Metodologia en Ciencias Sociales o entrando en un Master/Bootcamp de Data Science/Big Data/Business Analytics. Pero estos ultimos son muy caros y te exigen backgroung, al menos los Masters. El primero, el de Metodologia el cual dura 2 años, es un coñazo para mí porque es SPSS y algo de R, no es algo que vaya a usar un DS o DA en la vida real. Estoy intentando hacer el curso de Coursera de Google de Data Analytics a ver si con ello se me puede tener mas en cuenta para entrar en un Master o algo... Y tu qué?? Eres también español?

[@sevicore]

@@poltergeist7621 si tío, hice ciencias ambientales en Salamanca, la única salida que veía hace 2 años era como técnico de medio ambiente/comercial y después de trabajar en una consultoría me pareció tremendo coñazo porque se basaba en resumir y traducir leyes. Hice un curso de Python en remoto en AEPI que duró un mes, bastante guay de hecho, y ahora empeizo un bootcamp de 17 semanas en nuclio school (Madrid)

[@poltergeist7621]

@@sevicore Bootcamp de qué? Y por qué esa escuela y no otras típicas como Ironhack, The Bridge, Neoland, etc??

[@wtfmonicaa97]

These are all topics that I’m interested in and some I have major experience in. This sounds like a perfect career for me!!!

[@MonsieurSchue]

Great video! Just curious with many of the tools out there these days, do you still see the coding part a must have for a data scientist?

[@shrutijain1628]

Your points are totally valid but of course some places I might still be lacking or not so good. But I am sure I can make it. I get what you tell about coming from business background I am doing business administration and now I am data analyst while still in 3rd year college so it's hard but all of you can do it if you really feel passionate about it. Thank you Tina for this💯🤘

[@chinmayasinghrawat4622]

Thank you. I feel that it is very important for young minds to be pragmatic about your career, as well as about themselves, as compared to simply drooling over the paycheck this field provides.

[@davidminutti4903]

tnks for the video Tina!

[@nnpfffn.6392]

Thanks you. This videos is so freaking worthy to watch!!

[@DooDooDaddyTV]

Hey Tina! Would you recommend Data Science for someone with a degree in Biology and 4+ years of wet lab experience who's hit a wall in terms of passion? I want more freedom in my work and remote options (plus the pay for wet lab scientists is not great tbh). I've been looking at data science or bioinformatics, but is it possible to get a job in this field (preferably remote) with only a degree in Biology and self taught coding/programming?

[@3lmodfz]

I'm glad to not be the only (micro)biologist that's fed up of wet lab work and looking to progress into a different field. From what I've seen and who I've spoken to it's totally possible. I'm currently learning python with code academy to get on this new path. My biggest concern is the maths aspect as it's my worst subject, I'm quite bad at it!

[@DooDooDaddyTV]

@@3lmodfz We are in the same boat then! I'm doing the Data Analyst career boot camp at Codecademy as well and I'm just about finished with Python.

[@n.trs1788]

Try bioinformatics

[@dinothedinosaur1099]

If you come from biology, there are plenty of really cool bioinformatics projects out there: automatic diagnostics, signal processing, computational genomics etc which require competences in statistics, sequence analysis, computer vision. You can definitely try applying for internships in these fields having background in biology!

[@prestonrasmussen1758]

Hey guys! This is actually a surprisingly common scenario. Many people go into STEM for the excitement of learning new things and applying analytical methods in a creative way to solved problems. It also turns out that a lot of the lab jobs in the US are not like that, and often lab based STEM majors feel like they don’t have an outlet for creativity. This is where the desire to swap to tech comes in, as SWE and data science are all about learning and creative problem solving using science and engineering. Tech companies understand this flow and many of them have apprenticeship programs which help transition people who are professionals in other fields that have done some self-taught programming (through online classes or a boot camp) into the tech field. My company, Dropbox, is an example of a company that has this program and I believe most of the major tech companies do as well. We also put effort into recruiting people from boot camps as well. In general, people with a non-coding STEM background tend to be very successful in these type of apprenticeship programs.

[@jokorosic405]

I would respectfully disagree with 3. Not with the whole point, which is spot on as usual, but with the explanation behind it. I am not among the senior data scientists as well. Been one for over an year and a half in fintech company and now for 6 months in another. And I'm planning to switch back to SWE because of point 3. You are going to constantly learn new things, that is true. But them new things will be about the domain, company hierarchy, project management, business, presentations, justification of ideas in front of 'stupid' people etc. You will have to pick up quickly with those if you want to be a data scientist. Not ml engineer, not researcher, mlops or whatever, I mean data scientist. I don't think you will feel any pressure of the new technologies at all. Let's be real, using the Deep Learning frameworks is easier than riding a bike. Same applies for anything that you will use from the scientific stack, the visualization or dashboard libraries. And those libraries and frameworks don't change often. The latest and fanciest neural nets - you are not going to need them. And you are definitely not wasting time creating something that adds 0 value to the company AS data scientist. And about the math and the stats - you learn them once and you are good to go. They haven't changed for centuries. You will need some Python/R and SQL but compared to the real engineers you will be a baby. And you won't learn good practices. Even if you introduce them no one will care or even notice. So this will result in stagnation. I mean for your coding abilities. As Tina mentioned you ain't gonna be proud of the code you write. And you won't be able to pick up and improve because you will be too busy talking to business, learning about the domain and making presentations. Data Science is a great job, paying well, have significantly less stress than SE, probably the greatest for curious individuals with aspirations in math, data and stats. But if you are passionate about coding, building things, staying up to the date with the latest in the tech, and overall about computer science, Data Science is not your thing. As it's not mine.

[@anisnabila1903]

so we can say that coding is not the main character if we are working as a data science??

[@SY27196]

Well explained Data science roles change at each company

[@KadirPeker]

One of the rarely mentioned points (and you bring it up): most of what you build is temporary and one time use stuff (code) to answer a question, do an experiment, clean up some data, generate some graphs, etc. So, if you have a streak to build immaculate things and perfect them over time (which I have the itch for) then you may feel tired of constantly building imperfect "non-elegant" solutions and then scraping most of it later on.

[@CliRousWriterz]

I want to pursue the business side of it but I think the struggle is sometimes you gotta have some certain techinical skill to sort or work with the data you have to kinda figure out what you can take out of the data. whats your opinion?

[@Crazypixiness]

I have a question for your "scrappy" segment - do you discuss the minimum amount of data needed with your client/supervisors? How do you normally set that standard? Thanks in advance if you choose to answer!

[@lanayambao4280]

I have the same question! Hehe Hope she replies

[@prestonrasmussen1758]

The scrappy comment was more about quality of code, statistical analysis, readability, maintainability, and modularization rather than talking about the minimal amount of data needed (generally collecting new types of data takes a long time because engineers have to implement new logging). If you’re curious about the necessary amount of data to get good results you can read the Wikipedia article on statistical significance and t-tests as a starter

[@msms3260]

Very cool and informative video. You are obviously a top achiever at anything you take up.

[@lumigg2556]

Thanks a lot! this video was really helpful!

[@sebisamuel2605]

Tina dropping this video at the perfect doomer time 🤡🐢🐢 Well I think it's quite important for people to just look back and pause for a moment and just think that whether it's a good option for them. Unfortunately people go after trends myself included but this process is crucial before taking the plunge.

[@TinaHuang1]

but bloom in video afterwards? c: but really though do think it through before taking the plunge!!

[@sebisamuel2605]

@@TinaHuang1 Ye will think it through after watching squid game 🐢🐢

[@Shdnfncidjen]

The business part is b.s. imo. You can learn about any domain enough without really putting in the hard work that's required to apply cs and stats skills

[@eagillum]

BS?

[@Shdnfncidjen]

@@eagillum that was too aggressive lol. I just mean that most domains you apply data science skills to are so much easier to learn compared to the cs and stats skills you need. If you where to measure this out in hours, the domain side of things would be a trivial fraction of your total investment.

[@kimbleygriffin8058]

Thank you for this video and information; it is very helpful!

[@sourabhsomdeve1373]

You gave me more reasons to continue my career in data scientist...thanks 😊

[@vandao2560]

I'm considering either data science or software systems engineering to study for my master. Can anyone give some advice on the needs/pay/competitive rates for the 2 job fields in compared to each other?