real talk about my Data Scientist jobs + salary for entry level data science

so I left astrophysics to become a data scientist straight out of college SO here are 5 massive realizations about the data science industry and exactly how much to expect from your entry level data scientist job salary!!

spoiler: I absolutely LOVE the field and feel SO grateful to be a data scientist and have such wonderful entry-level roles! I'm a data scientist without a computer science degree and have learned that you don't really need one to be successful as long as you have the curiosity and computational skills for success! and the salary is generally ~high~ so that doesn't hurt!

As always, if you have any questions for me, comment them down below and I will do my best to help you out! 💛

Other videos you'll like!

Timestamps:
00:00 hello ALL ✨ + where I work/background
1:10 what I realized being an entry level data scientist
09:32 entry-level pay scale + my salary ranges

-------------------------------------------------------------------------------------------------------------------------------------------

Welcome to my channel - College Tips From the Almost Astrophysicist! I'm Priya and I'm here to help you get into college. I'm a University of Chicago grad with an Astrophysics degree that currently works as a Data Scientist and I want to break down the college application process and tackle all of the misconceptions about college for you! Let me know in the comments section down below if you have any video requests, or just want to say hi! :)

[jlugo]

As someone who graduated from college this May with little experience in the field, I highly recommend to make a portfolio to fill in missing experience. I have a bachelors in accounting and a masters in data analytics and to be honest I struggled to get data scientist interviews. As soon as I started playing with a variety of machine learning algorithms in python using real datasets to make a portfolio, it helped in two ways : exponentially increased my rate of interviews and it significantly helped me in preparing for them ( A lot of my interviewers asked me how do you build a logistic regression ? random forest ? what do you do to reduce overfitting ? etc..) . Anyways just landed a 95k job as a junior data scientist for a small company across my state, and the job is completely done remotely . Believe in yourself and don't stop learning 😀.

[giajia]

This video was soooo informative and encouraging. I’m a neuroscience major looking to enter data science after college and have been trying to focus my skills in learning R, data visualization, and statistical analysis. Class of ‘23!

[medtechtrends]

You hit the nail on the head -- a lot of people can do data analysis and data science, but not many people understand how to connect everything back to the core business and how to interpret results from the perspective of what actions to take. Communicating the latter two points, once you have results from analysis, is where the real value is. Great vid !

[smartlymade]

not you being a literal life saver! im graduating early and i had no clue what i could do with my applied mathematics degree without going to grad school, and the way you describe this (the constant learning, the work environment) honestly makes this sound like the job for me :) thank you!

[fasteddylove-muffin]

"Understanding how you can drive business decisions & understanding how you can drive business values'' KEY insights of this video. Thank you.

[pixelpappa]

Great information for anyone interested in the field. I love the fact that no two projects are the same, yet you tackle them with the same skillsets.
I'm finishing up my Ph.D. in Data Science and it's been a crazy ride. I started with an interest in visualization (storytelling has always been my love), then a bit of machine learning (interesting but my heart wasn't into it), and now I build NLP tools and applications for use in sociolinguistics. Never in a million years would I have thought I'd end up studying language usage.
Best of luck in your new position.

[Andresbutdigital]

I have a very similar background to you. I am a former physics undergraduate that did research in high energy physics simulations, and that computational background really helped me transition into my current data science position. For any physics/math undergrads, you have the skill set to get into this field! The only obstacle is being able to express your math knowledge through code. If you can learn enough code to do that, you're golden.

[Suelen]

How lucky I am to have found your chanel today! The name of the chanel itself made me feel already related to you. I'm from Brazil, and I've recently left a bachelor degree in Physics to follow a Data Scientist career. My love for programming emerged during a Scientific initiation, and I couldn't help to dedicate hours and hours of my days learning Python and other programming languages... I felt so powerfull learning it. Now I am in the first year of a Information System degree, and I coudn't be more happy. Althought physics will always be in my heart as an old dream of mine, the tech field made me flourish like no other. Thank you for sharing your experience with us, it really encourage me to continue following my goals (to be a Data Scientist!) and face the difficulties that will come with it.

[KemiRokosu]

I studied physics too, graduated last year and I want to venture into data science. Seeing this video makes me so happy

[oa_swift]

I'm so glad I found your channel! I didn't know what I wanted to do for a career, so I don't an online quiz and it gave me a bunch of options. Data scientist was one of them and I really like what I've learned so far.

[Reddex]

Thank you for this video! Currently applying for a Master's in Data Science and this is great anecdotal support.

[mmullarkey]

I so needed this video today! I just finished my Masters in Data Analytics and as someone who has always despised job hunting I was getting disenfranchised. But you have put the fire back in my belly! All of the great things you said about the career are all the reasons I started the Masters. So thank you for reminding me!

[maleldil]

Very informative video! I agree with many of your points, and I'd like to add some of my own (I'm a Lead Data Scientist at an American unicorn):

1. We don't really care about your background as long as you can code (SQL and Python), understand the fundamentals of statistics and can apply standard ML models. Your education might limit your progress later on, but the basics are plenty enough for you to do well as an entry-level data scientist.
2. Communication is _really_ important. We expect all new hires to be good on the technical side, so what ends up being the most significant discriminator between high- and low-level is how well you can understand what's being requested and what's important and communicate your results in a way that helps the business. This is the number 1 thing I mention to my reports during 1:1s.
3. Many Data Science courses (BAs or Masters) don't teach SQL, or if they do, it's just basic stuff. Regardless of what your actual role as a data scientist will be, SQL will always be essential.

[michaelhaskew]

Your enthusiasm is appreciated and contagious!!

[rikenad]

You’re an inspiration! I now feel like making a video of me talking about what it’s like to work as an entry-level career advisor.

[Lily_Daneva]

hey, awesome vid! I was a data analyst before I had a maternity leave and I wanted so much to become a data scientist because I think it's a logical progression of my work challenge path. Unfortunately, currently I have different plans for my life but I wanted to say that you made me come back to my prev plans and inspired me again on the topic.

[chude_o]

Amazing video. I became interested in data science last year and the journey has been really tough. Depressing to a large extent even because I can't seem to land an entry level job. But I'm trying to push through because I know I will be very worth it.

[anuragdaggumati]

I never heard “data science” this much under 10minutes

[GeeLight]

Thanks so much for sharing your insight with us. I'm a middle-aged professional who's learning more about A.I. I don't have an undergraduate or graduate degree in computer science, math, science or engineering, & Instead I did my undergrad and graduate work in a different area more focused in the arts and disability management. Currently, I work more in the career services field as a job coach in a vocational rehab capacity & have previous experience as a adjudicator/case manager for a healthcare provider. I'm ready to level up and transition into a new area focused on the healthcare field, but at my stage of life I'm unclear if I have enough time to develop the skills to become a data scientist, because after researching the different areas this is the most interesting to me, but I'm unclear if I've the aptitude to learn the math/statistics necessary to be successful in this field. I decided this weekend to register to take the CS50 class offered online with Harvard X, & hope for the best. My questions for you are should I try to start working more as a software engineer, since that's the easiest way to get into the tech field, even though it sounds boring, or do I've other options I'm not considering?

[chdfnh]

Thanks you for the info, I am currently a data engineer for bank and I am trying to transition into becoming a data scientist, this helps a lot to ensure that it is really what I want to do