Data Science: Reality vs Expectations ($100k+ Starting Salary 2018)


I get paid a hundred thousand base salary like I’m hired as a new grad Hey guys welcome to this episode of Reality vs Expectations where I get people from different careers and I have them write about five cards of what they thought their career was gonna be like versus what it’s actually like today I got Joma currently his a Data Scientist at Facebook previously he has worked at LinkedIn Buzzfeed and Microsoft he graduated from the University of Waterloo with the degree in Computer Science lets get this video started Hey guys today I got Joma he works as a Data Scientist at Facebook but Joma can you tell me the story about how you became a Data Scientist? Yeah sure so I did a lot of internships when I was in college I did some Software Engineering internships and I also did a Data Scientist internship
at Facebook and then after that I worked fulltime at Buzzfeed as a Data Scientist and then finally I came to Facebook as a Data Scientist can you walk me through a day in your life as a Data Scientist? Yeah sure so mostly what we do is we come into work and then usually we have a lot of meetings because we have to talk about what are like the next goals and what metrics to track for our team so for example I work for videos at Facebook and basically what I do is I query a lot of querries getting some data to try to make decisions for the PMs give me an example of a specific type of data that you’re looking for yeah sure like for example you wanna see alright what countries are doing like most well for our shows cuz now we have a watch tab on Facebook and we wanna know which countries are doing the best and which countries should we invest in and that’s one way to look at it and how did you become qualified to get a Data Science job? yeah so It’s actually a lot of different background you could come from a lot of different backgrounds my background is in Computer Science so with the Computer Science degree I was a little bit more technical and then when I did the internship because the internship they allow anyone to get it you don’t need to be technical and that’s where I learn how to do Data stuff like for example basic stats did you come from like extremely qualified school? is that why your looking for internship? I went to University of Waterloo which is a Canadian school and they do a lot of internships I wouldn’t say its like the best school in the world like its not ideally at all but we do a lot of internships and maybe that’s why we get more preference over other schools okay so lets go to the Reality vs Expectations questions what’s your first card? so my first card is most people think you need a Ph.D to be a Data Scientist and that’s actually a myth because I don’t have a Ph.D I should just have a bachelor and then at Facebook I’ve met many people that have the Neuro Schience degree or even someone that had a Family and Sexuality degree and most people come from consulting backgrounds so yeah so you deffinitely do not need a Ph.D I think the reason why peope are confuse by it it’s because when you think of Data Science you think of the machine learning of Data Scientist since they came from different backgrounds how did they teach themselves or how did they learn the skill well enough to get a job? so theres two ways either you do an internship or you just study basic stats because to be honest its less about learning the fundamentals or like being really good at the stats to be good at this Data Scientist you usually have to have more empathy to be good at Data Scientist because you have to ask the right questions and then answer them thoroughly because technically its not that hard you only need to know some sequel queries maybe a little bit of Python which everyone can learn what’s Reality vs Expectation card number two? yeah so this is a little bit related to the previous one most people think Data Scientist works so solely on machine learning and like artificial intelligence but that’s not true I just wanna talk about the three arc types of Data Scientist theres one is Data Science analytics? that’s what I am and then I’ll talk about that later and then there’s Data Engineers and then there’s also Data Science Core that’s what people at facebook calls so Data Science Analytics this is like us we just like a Data we do some sequel queries we process it we make graphs and we communicate with to the Product Managers and then Data Engineers those are the one that retrieves the data build the infrastructures so we can actually look at the data and then Data Science Core those people are like the hardcore Ph.D with like recommendation models in forecasting awesome, what’s card number three? yeah so card number three is Data Scientist is just about putting a bunch of data in a Blackbox model and then I would just output an answer so that’s very not true because what’s most important in Data Science is about you know like I said empathy and also understand what the real questions are I’ll give you an example why you can’t just put in a Blackbox now Blackbox what happens is you give it input and then you say what to optimize for now imagine you have a video product and you wanna focus on a specific country in the emerging market and then to help boost your video product and then what you wanna optimize is time spent it makes sense right because you wanna make people watch more videos and then you put in a Blackbox and it says oh Vietnam or Thailand is the best country but then that doesn’t tell you the whole story because what if the reason why they spent so much time it’s because their just spending time buffering or loading the video so that’s why you can’t just put things in the Blackbox cuz you have to understand exactly what’s happening to the users on the other side can you define Blackbox? yeah so Blackbox meaning like models that people pre create for example a simple linear regression or like a random forest or even like a deep learning model sometimes you can’t solve problems just by encoding data in these models so that’s why I mean by Blackbox It kinda relates to like everyone thinks correlation equals causasion like a two things correlate they think it’s causing obviously this Data Scientist you know better that just cause two things are correlating doesn’t mean that you know the causation exactly so one of the biggest mistakes is you know correlation vs causation and you will always find a correlation and then you would optimize on that certain thing thinking that it would benefit the other thing for example time spent correlates with likes for example and then what you see later on is that maybe if you increase time spent it doesn’t necessary mean the more likes you’ll get cuz maybe you’ll just get wasting time spent and stuff like that time spent there are lower quality exactly, what’s number 4? you need to know Hadoop Mapreduce and Spark if you wanna be a Data Scientist cuz these are like the buzzwords that you hear the most and that’s not true at all cuz I’ve never written a Mapreduce job in my life I have but not at my job and the reason for that is that usually the reason why you think you need these is because your applying to startups and startups they don’t have enough resources to hire the three arc types of Data Scientist so Mapreduce, Hadoop and all of these things those are usually the Data Engineers that work on this or Software Engineers cuz technically you don’t need to know much about data or statistics to create these pipelines so the Reality vs Expectations is that you don’t need to know these things when you thought you did yup so for example working at facebook especially because it’s so big they have three separate jobs for that you know they have the Data Science Analytics the Data Engineers and the Data Science Core so Data Engineers would do all that and you wouldn’t even need to think about it you can just focus on you know impact and thinking about how to you know how to make a product better with the Product Managers if someone wanna to get to Data Science today what website should they go to to learn more I personally don’t use any websites and I wouldn’t recommend websites I think you should definitely just try to get an internship and to be honest this a little bit harder but if you do have a technical background like computer science it would be better and if you still can’t do it maybe try to get a consulting job and then move into Data Science okay, what’s the last card? the better you are at statistics the better Data Scientist you’ll be yeah so what I mean by better at statistics we usually think about complicated models advance forecasting techniques and stuff like that I just wanna to tell you a little bit about what happen to my internship we had five interns one of them did some hardcore forecasting thing that’s like really complicated but the only thing it forcasted was for example the number of active users for that specific product and maybe it was very accurate but what is that give us for product what kind of like product recommendations does it give us it doesn’t really give us anything so in the end it’s not about how good your stats is or how technical you are value can you add to the company and that’s what matters the most because if you do many complicated things and like a lot of machine learning stuff but in the end your not giving any value to the company even if it’s so cool even if it’s like like really advance stuff it doesn’t matter cuz I can do the same thing with a simple logistic regression or like a linear regression as long as it has impact to the company then that’s what your valued at it’s interesting you are saying that it’s almost like working as a as a developer too it’s related that you can develop this complicated code but if it hasn’t have any functionality then there’s no point like it’s kinda like the difference between like doing something theoretical versus doing something practical theoretical can get so complicated but we can’t use it then what’s the point right exactly so I mean a lot more then often I see people over Engineer softwares and then yeah it’s really good and it’s marginalized but nobody can touch it because they just don’t understand how to use it and that’s useless alright Joma last question if you could go back to the beginning of your career your freshmen you just graduated from highschool would you do Data Science all over again? that’s a little bit of a hard question because I do enjoy Data Science now but I think there are somethings that I would like to do more I always wanted to be a Product Manager rather than a Data Scientist unfortunately like through this schooling that I had done I didn’t develop the skills as a Product Manager I develop the skill as a Data Science or as a Software Engineer so if I had to redo it I probobly would have focus more on like the business side of things what did you see in your professional career were now you would prefer to be a Product Manager than a Data Scientist yeah so I saw that Product Managers they focus more on execution and they also get more of the credit when things go well in terms of different products like in some sense a Data Scientist is like the right hand man of a Product Manager a Product Manager is like a mini CEO so I always love thinking about products and thinking about you know new and innovative way to think about you know how to reach users and how to make their lives better but usually it’s the PMs that have the final say I get paid a hundred thousand base salary like I’m hired as a new grad I get paid the minimum I get a hundred twenty thousand equity for four years that means like thirty thousand equity per year and then for the first year you get thirty thousand dollar bonus for the first year and then you’ll also get some random relocation bonus that’s worth like fifteen thousand or something like that I hope you enjoy that interview with Joma if Data Science sounds like a profession you might wanna start learning about consider taking this course I link in the description on Skillshare I’m your instructor Frank Kane and I spent over nine years at Amazon.com and IMDB.com developing and managing some of their most famous features like recommended for you and I think it’s a great introductory course and with Skillshare you get access to over eighteen thousand courses for fifteen dollars a month what a great deal and with that being said I’ll see you guys next week bye

100 Comments

  1. ENGINEERED TRUTH

    February 9, 2018 at 10:57 pm

    The first step is the hardest (expand for more info)

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    If you use my link, you'll get 2 months free meaning you can complete the whole data science course and cancel before your trial is over.

    Skillshare might not like that, but I'm just being honest with you. Here's my link:
    http://engineeredtruth.com/skillshare-data-science

  2. Roy Staggers

    December 12, 2018 at 6:44 am

    DATA SCIENCE = IS NOT SCIENCE

  3. Gao XiangShuai

    December 22, 2018 at 5:09 am

    Screw you. I get pay 7.25 an hour flipping burgers. I am living the good life.

  4. Faizan Mohiuddin

    December 23, 2018 at 1:57 am

    Hello Engineered Truth, I recently finished learning HTML5 and am learning CSS now. As some foresight, what math level is required for JavaScript? Thank you in advance.

  5. AFAQUE JAYA

    December 26, 2018 at 12:33 pm

    Thanx alot for doing this effort really very much appreciable.
    One thing I like to know about data science if I want to do data science course which online tutorial is valuable so that I can easily get job and I use my money on the right track.?
    Please help me in this.

  6. Arvie San

    December 27, 2018 at 8:38 am

    I hope I to have an opportunity like that.

  7. Buttery_Samosa

    December 27, 2018 at 10:59 pm

    So basically a data scientist is about predicting where and why and how the user uses the product and the best way to get them to come back to use that product. For instance videos on Facebook.

    That’s super interesting.

  8. Makos

    December 30, 2018 at 7:14 am

    100k per month or per year?(salary in my country means payment per month)

  9. fallenflame90

    December 30, 2018 at 8:41 pm

    Data science analytics :BI analyst Data Engineer : BI developer Data Science Core : Data Scientist

  10. John G

    January 5, 2019 at 12:53 am

    Great stuff.

  11. HGB 1

    January 6, 2019 at 2:02 am

    Damn bro you're bald

  12. Sand Summerstorm

    January 6, 2019 at 5:14 pm

    Joma is the best

  13. Mark Pine

    January 6, 2019 at 9:51 pm

    Interesting information.

  14. Vlad Miron

    January 11, 2019 at 10:26 am

    interesting. this is the reason i am thinking about getting my degree in econometrics. very technical but since it is derived from economics which is related to business it would have more in common with business than a computer science degree. is my rationality fine? i dont want to get a business degree because they are a lot worse paid and the job market is full of them

  15. Jai Eie

    January 15, 2019 at 6:07 am

    if iam a instrumetation grad….what are the best things to do become an data scientist???….coz in our place,my teachers doesnt even have one clue about "what is data science??"…someone help me!!! plz

  16. Marceli Szuba

    January 21, 2019 at 1:48 pm

    I'm starting an internship at a big insurance company this week. I'm going to be working with a PhD student who's cooperating with the company on research into churn modelling. My job will be to facilitate communication between him an the Marketing Intelligence department at the company, so that his very theoretical research can be turned into real, tangible recommendations for the company.

    I wanted to ask if you have any tips on presenting research findings to marketing executives. Do I need to go into detail about the methodology? Do I need to provide justifications for our choices? Or should I focus just on providing recommendations and results, without explaining the technical side?

  17. Dr No

    January 25, 2019 at 10:04 am

    my dude is listening to j fla , mad ting

  18. Janet Hockey

    January 29, 2019 at 5:29 am

    Consumer Behaviour!Irritional psychology

  19. Janet Hockey

    January 29, 2019 at 5:30 am

    Statistics degree

  20. A Channel

    February 3, 2019 at 5:04 pm

    6 figure salaries for graduates are unheard of in the UK. Even after currency conversion it doesn't come close. Can someone please explain this?

  21. Samieh M

    February 10, 2019 at 1:25 am

    Can I do an internship without much knowing? 😐

  22. Cris CDO

    February 13, 2019 at 11:57 pm

    What are the skills more requested to be a Product Manager??

  23. Ujjval AKA THE *B.A.A.P* • 3 years ago

    February 19, 2019 at 8:36 am

    What is a consulting job? Can someone please explain me?

  24. Andy N

    February 25, 2019 at 3:47 am

    How much does a machine learning engineer earn?

  25. Nick Jones

    February 25, 2019 at 5:03 am

    I got 1000 not 15 or 37…. can you make it happen with me?

  26. little big big

    February 26, 2019 at 5:34 am

    when i hear that data scientist needs to learn python, i'm like "this is not for me"

  27. Michel Bruns

    February 27, 2019 at 1:42 pm

    he sais i dont recommend website and what do you do??

  28. Harsha

    March 5, 2019 at 6:46 am

    Learn Data Science Training For Free of Cost
    @

  29. ChibyMoh

    March 10, 2019 at 1:02 am

    I truly enjoyed the interview. Good questions, good answers, it's really helpful and it's helping me a lot planning my career.
    Thanks!

  30. M b

    March 15, 2019 at 10:52 pm

    So you're a data analyst, the way I researched it and correct me If I'm wrong, is you have a data analyst, a data scientist and a machine learning engineer. Where a data analyst will just look at the data and create reports and suggestions (not much coding experience required) and a machine learning engineer who creates the software that collates the data (requiring extensive knowledge of coding and machine learning) and a data scientist is somewhere inbetween both

  31. Jaime Guajardo

    March 19, 2019 at 10:30 pm

    Joma can transition into being a PM… PMs come from all sorts of backgrounds… and having a data analytics backgrounds is a HUGE skill necessary for being a good PM.

  32. srdjanix

    April 2, 2019 at 11:38 am

    100k lol those salaries are just possible in U.S, in eastern europe for the same Company , same position you would get paid $10,000 a year lol 10 times less.
    Would you do it then?
    People in US are lucky to land a job there

  33. Jack Barbey

    April 13, 2019 at 3:06 am

    I get what he is trying to say, but a linear regression is not a blackbox model.

  34. Halcyon Days R9

    April 14, 2019 at 3:42 am

    He keeps saying product what kind of product facebook sells it what am I missing call me dumb but what product fb makes

  35. SpectreBeast

    April 17, 2019 at 1:51 am

    miskin

  36. ashish sahal

    April 23, 2019 at 7:58 pm

    I am an mechanical engineer… can I pursue my career as data scientist …

  37. Carla.Output

    April 24, 2019 at 8:42 pm

    Good job

  38. Chunwei Chang

    April 27, 2019 at 7:33 am

    7:45 J.Fla from Korea!

  39. Data Wave

    April 27, 2019 at 8:08 am

    If possibile to be a data scientist freelance?

  40. RONALD MUSULA

    April 27, 2019 at 11:47 pm

    nice video joma

  41. M T

    April 30, 2019 at 1:36 pm

    If I have a technical degree, years of experience in my field, and learned the tools (like SQL, Python..) to do data science; why do I have to go for internship and lower my pay for that period of time. Is there a way to go straight to data science?

  42. Bughetti Daddy

    May 11, 2019 at 8:15 pm

    Any videos related to people who studied physics

  43. eka nanda

    May 16, 2019 at 10:02 am

    For data analyst, black boxes are not black boxes at all

  44. john kubik

    May 27, 2019 at 4:15 am

    This dude says expectations so weird. every time he says it I cringe.

  45. Nick Thomson

    May 28, 2019 at 6:06 am

    Lunch and dinner behind the desk,damn..Guys are you so greedy to earn money or what

  46. Hugo Valette

    May 30, 2019 at 11:18 pm

    JOMA TECH is not a DATA SCIENTIST, he’s a 1st STEP DATA ANALYST. DATA SCIENTIST IS THE BEST JOB !

  47. John Jacob Jingleheimer Schmidt

    June 2, 2019 at 4:23 am

    Data Science sounds boring

  48. Christina Arocena

    June 4, 2019 at 3:59 pm

    this was so helpful, thank you

  49. Padawan Atodon

    June 5, 2019 at 11:18 pm

    I wish I got more involved in this stuff when I was younger!
    Good video, thanks 🙏

  50. K

    June 6, 2019 at 10:43 am

    Is this guy typical of a data scientist or an outlier?

  51. AnRovik

    June 7, 2019 at 9:18 pm

    The answer is 42 but what is the question?

  52. Christopher Long

    June 12, 2019 at 1:53 am

    Mind you, 100k in silicon valley is probably equivalent to 50k in most cities. (Coming from a data scientist currently living in pittsburgh )

  53. Pranjal Pathak

    June 16, 2019 at 3:40 am

    I am a product manager but want to be a data scientist. And here get to hear this…

  54. Ryan Page

    June 16, 2019 at 4:30 am

    So you still don't need a PhD, but most data scientist positions require a quantitative masters degree… I think a lot of people are confused in the comments.

  55. ZFlyingVLover

    June 17, 2019 at 9:01 pm

    machine learning is a fancy name for forecasting.

  56. ZFlyingVLover

    June 20, 2019 at 4:20 pm

    Note: $100k doesn't have the same buying power across the country. i.e. $100k in San francisco is $60k in Dallas tx. Make sure you take into account the cost of living where the job is located

  57. Won Woo Choi

    June 20, 2019 at 5:06 pm

    His work sounds more than data analyst. Also he is making that money because he is at Facebook and lives in san fran

  58. RITIK NAIR

    June 25, 2019 at 3:44 am

    Where to learn for data science

  59. Pulling the Strings

    June 26, 2019 at 7:12 pm

    I'd be happy if I made 50k a year. I come from poverty and never even know what money feel is my hands.

  60. alex steve

    July 1, 2019 at 4:20 pm

    age 16 getting intrest in this field shall i move forward? can i able to get a job in good position in future..

  61. Noel

    July 1, 2019 at 6:43 pm

    Please do an interview of Business Analyst

  62. Sudhir Kudikala

    July 2, 2019 at 5:45 am

    what are the hours like, 40 hr week, 60 hr week, 80 hr week ?

  63. ViiV Creations

    July 6, 2019 at 5:16 pm

    Just startup a good business and you can earn much more. We started a healthcare business in our local town and first year got over 250k from client payments alone. Healthcare is def #1 for sure.

  64. ccpwrlft

    July 8, 2019 at 10:07 am

    Great video, super helpful

  65. Roushrsh

    July 11, 2019 at 8:47 pm

    Waterloo is Canada's MIT, so I kinda had to stop there. If you get in and complete a tech degree there you generally won't have to try too hard to get a job in the field. Internships help a lot more than university name, but I don't think he's a good example of this given his background. Waterloo gets a lot of internships for their students because their name is powerful and employers want to hire their students. It's a cycle of sorts.

  66. Andrew L

    July 14, 2019 at 7:19 am

    Just to add to this video that the graduate in this video went to University of Waterloo, which is like the MIT of Canada.

  67. Arte Case

    July 16, 2019 at 7:12 pm

    Beautiful!

  68. David A

    July 16, 2019 at 7:13 pm

    He said everything I already knew and expected… but it was nice hearing it from the horses mouth because there’s so many people who have tried to discourage me just because I don’t know python yet…. or because I don’t have a computer science degree… I have a business degree with a certificate in data analytics/modelling/administration.

  69. Yoko Koko

    July 17, 2019 at 7:25 pm

    Can someone with a BA in Economics get into Data Science? R and Statistics are core courses of that program.

  70. bundit

    July 19, 2019 at 1:26 am

    What's up with the random snippets of web dev googling? What does it have to do with what Joma is talking about?

  71. Chase Blakeley

    July 30, 2019 at 4:32 pm

    6:46 is what i envision a data scientist actually "doing" 70% or greater of their work life. do data scientists have back problems?

  72. R L

    July 31, 2019 at 3:03 pm

    Is it fair to say that a data analyst is like a junior version of a data scientist?

  73. Karl Juhl

    August 2, 2019 at 1:34 am

    Please redo this interview with a real data scientist, not a data analyst with an inflated ego

    This guy really said that the forecasting example was useless. If you think accurate forecasts of KPIs aren't extremely beneficial for corporations to have access to, just stop.

  74. Private

    August 2, 2019 at 10:28 am

    Recruiter: So, what makes you qualified for the role of Data Scientist?

    Me: I have a degree in Family and Sexuality Studies.

  75. WokeUp InAJet

    August 4, 2019 at 1:59 pm

    He said 30k and I little bit more a year? Ah nah nah

  76. Gary Fisherman

    August 5, 2019 at 4:24 am

    man, I thought he is 1rod1reelfishing from youtube lol

  77. Maxmud Xamidov

    August 6, 2019 at 6:51 pm

    Can I do master degree on IT if I graduated management degree.

  78. mary smith

    August 11, 2019 at 10:59 pm

    data science is just market research with a diffrent name: 3 jobs for the pay of one!!!!
    1)statistician 2)programmer 3) market researcher or financial researcher.
    NOT COMPUTER SCIENCE, NOT MATH. YOU HAVE TO BE EXPERT STATISTICAN,
    EXPERT PROGRAMMER, MARKET OR FINANCIAL RESEARCH EXPERT.
    MOST COMPANIES DO NOT HAVE BIG DATA!!! THEY HAVE SMALL DATA, MAYBE
    2 OR 3 TERABYTES OF IMPORTANT CUSTOMER FILES ETC!
    MAIN STAT SOFTWARE USED IN REAL JOB: EXCEL, SAS, R, BI SOFTWARE, C++ OR C#
    NOT PYTHON, MATH 9TH GRADE ALGEBRA ONLY!!!!
    THE SOFTWARE DOES ALL THE ARITHMATIC!!! NOT YOU!!!
    DO NOTWASTE YOUR TIME ON COLLEGE COURSES OR BOOT CAMPS
    DO ALL THE PROBLEMS IN SHUMS STATISTICS BUSINESS, DOWNLOAD
    THE BUSINESSS INTELEGENCE SOFTWARE FROM MICROSOFT AND IBM
    SPSS AND SAS. READ BOOKS ON MARKET RESEARCH. AND YOUTUBE.
    AFTER ALL THAT GO ON INTERVIEWS, IF YOU REALLY WANT TO DO
    3 JOBS FOR THE PAY OF ONE!

  79. mary smith

    August 11, 2019 at 10:59 pm

    data science is just market research with a diffrent name: 3 jobs for the pay of one!!!!
    1)statistician 2)programmer 3) market researcher or financial researcher.
    NOT COMPUTER SCIENCE, NOT MATH. YOU HAVE TO BE EXPERT STATISTICAN,
    EXPERT PROGRAMMER, MARKET OR FINANCIAL RESEARCH EXPERT.
    MOST COMPANIES DO NOT HAVE BIG DATA!!! THEY HAVE SMALL DATA, MAYBE
    2 OR 3 TERABYTES OF IMPORTANT CUSTOMER FILES ETC!
    MAIN STAT SOFTWARE USED IN REAL JOB: EXCEL, SAS, R, BI SOFTWARE, C++ OR C#
    NOT PYTHON, MATH 9TH GRADE ALGEBRA ONLY!!!!
    THE SOFTWARE DOES ALL THE ARITHMATIC!!! NOT YOU!!!
    DO NOTWASTE YOUR TIME ON COLLEGE COURSES OR BOOT CAMPS
    DO ALL THE PROBLEMS IN SHUMS STATISTICS BUSINESS, DOWNLOAD
    THE BUSINESSS INTELEGENCE SOFTWARE FROM MICROSOFT AND IBM
    SPSS AND SAS. READ BOOKS ON MARKET RESEARCH. AND YOUTUBE.
    AFTER ALL THAT GO ON INTERVIEWS, IF YOU REALLY WANT TO DO
    3 JOBS FOR THE PAY OF ONE!

  80. Changcheng Xue

    August 16, 2019 at 2:08 pm

    Some Job posting require 10 year experience as a DS…at this point, I think PHD time counts?

  81. Henry

    August 16, 2019 at 3:38 pm

    100k in the Bay Area is not that much unfortunately

  82. Sylvester Puddy-Tat

    August 18, 2019 at 2:14 am

    I got my Data Science Certificate from a paper mill!

  83. Sujan Chhetri

    August 22, 2019 at 1:12 pm

    I am from non-technical background, can i be a successful in these fields?

  84. Sandor Fekete

    August 24, 2019 at 1:32 am

    Sounds like a lot of money for graduates but we are talking about living in San Francisco. It's all relative.

  85. Dana White's double chin

    August 31, 2019 at 2:05 pm

    University of Waterloo is one of the best universities in Canada my man

  86. Mohammed Atabo

    August 31, 2019 at 10:56 pm

    Nice.

  87. Janet Jose

    September 13, 2019 at 9:51 am

    sir, is programmimg skills needed for doing data scinece

  88. Doug Sam

    September 17, 2019 at 1:11 am

    Wait, so i can work anywhere with c+, Java and Python coding skills?

  89. NANA QUASI

    September 20, 2019 at 3:28 am

    Nice! I love the video

  90. Pixelsplasher

    September 23, 2019 at 12:45 am

    5:55 So what does Joma finding out in Stack Overflow how to center a div inside a div got to do with data science?

  91. nata Pachon

    September 24, 2019 at 9:17 am

    This is certainly good to clarify common myths about Data Scients work. Thank you for so clear explanations!!!

  92. Jacob Pesquera

    September 25, 2019 at 6:50 am

    Wait, so this guy made $145,000 his first year at Facebook including his bonuses? Geez, that's more than pretty much all engineers initial salary and probably most professions for that matter, except maybe the medical field, stock brokers/financial analysts/quantitative analysts, and maybe lawyers.

  93. Aye Aye Mon

    September 28, 2019 at 10:13 am

    Can I work part-time, remotely in data science?

  94. boringgrass

    October 1, 2019 at 8:03 am

    i've got a phd and still broke with no gf 🙁

  95. Jamal Crawford

    October 1, 2019 at 11:47 pm

    Waterloo is a especially amazing in CS lol, "average".
    Bruh, at that school if you have an A or A+ from high school you barely even get a scholarship.

  96. antonio quinonez

    October 3, 2019 at 4:53 am

    Screw it. Be the product manager. The dude gets it. Smart guy.

  97. james sc

    October 5, 2019 at 2:56 pm

    isn't he just an analyst like would be working at any sort of investment bank or management consultancy firm? I don't get why everything has to be called data-something nowadays.

  98. Aaron Rawago

    October 5, 2019 at 4:58 pm

    Expectations: I'm a Data Scientist (Whoa COOOOLLLL)
    Reality: I'm just a measly Analyst trying to sound cool

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