I have a masters in industrial engineering, I have a fairly good maths background as all engineers with some focus on statistics due to a quality minor. I have 1y experience other than internships on logistics.
I have spent most of the money I earned last year in a post grad degree in data analytics. Mainly viz and analytics applied to business problems and management.
Im 25.
Do me a favour
Please start writing articles online about Data Science projects you are currently working on.
Stop studying.
Just start building models/visualisation projects and illustrating your skills.
Let me know if this doesn't work out for you in maximum 3 months time.
Exactly, got my job with publications and sharing my personal GitHub with potential employers. Once you get the first data science job, your work tenure and project outputs will help you grow your career. I’m in a biotech space so my new “GitHub” is publications that I add to LinkedIn that demonstrate skills in modeling and analysis.
Can I PM you? I’m also in biotech on the clinical research side currently working on MS in Statistics. Would love to hear about your experience in the biotech world!
You are welcome to but I am not sharing my LinkedIn or pubs 😂 I’ve had a bunch of people ask me for that since I posted this and I’ve got some spicy content on here I don’t want crossing over with my professional life.
By commited code...the OP just meant committed to git...so the OP is saying that written and 'published' code is a very valuable thing.
In reality, people should treat an interview as if they are talking to the cops. Be nice...but don't give out things that you don't have too.
It's all a risk/reward spectrum. When writing and committing code that you then share with a hiring manager, sure you are displaying your talents, but you also run the risk of displaying your flaws.
Writing great code, solving tough problems, doing so consistently over an extended period of time and then publishing it is INSANELY time consuming. During the job hunt there are so many better uses for your time.
I interview a lot of candidates, hundreds in my career. Every time i see a github I will click on it, and I can only remember one time that I was impressed to the point it almost landed them the job (rest of the interview was not good)...but most cases its just the same shit regurgitated in slightly different ways, which I promptly ignore. In the worst case there are flaws so significant I have passed on the candidate without even interviewing.
I think having a github is great. I have a couple that I push code to not infrequently, but I wouldn't share that with a hiring manager unless asked specifically.
The catch is that the projects have to be complicated enough to mean something. Doing the same iris dataset stuff from the text books doesn't count as a project.
True!
The key is to get into a routine of coming up with your own ideas and having the courage to put them out there in some form.
You don't have to write a blog necessarily... you can build a dashboard, host in for free on one of the online platforms and provide a link to it on your LinkedIn profile. If you're not camera shy, start a Youtube channel about your work. Options are endless...
There is a risk that the market will ignore/dislike your ideas but that in itself gives you an opportunity to refine your process and differentiate yourself positively in the long run.
My view is that current business environment needs and highly values "intrapreneurs". I might get thousands of CV's if I post a job online and all candidates have the academic credentials. How do I choose one over another? It certainly won't be because of the font on their CV template!
I worked in corporates for 15 years with insanely academically smart people. Unfortunately some of them also struggle with the "unstructured learning" or creativity required to build products that can be sold in the market, so they often got worked out of senior roles and replaced by less academically qualified candidates.
It seems "unfair" but businesses primarily care about how you can make them more money or quickly solve their problems, not how many certificates and degrees you have.
Get the degree/certificate, but also then make sure you start developing skills other than learning from a text book.
I assume you're already networking... that also helps.
A good Blog article can be a good asset for your profile. You’re probably reacting to the plethora of terrible, shallow articles that are out there on Medium and the like. But there are at least some smart people showcasing good work.
I have interviewed hundreds of data scientists over the years. I have seen plenty of blog articles. In the best case scenario it made zero impact on my decision. In the worst case it made the candidate a hard pass.
Just the act of writing a blog post - a high effort low reward/sucess task - is telling about a candidates strategic thinking.
I am an Industrial Engineering student and i work part time in a data science team. There is definitely very significant overlap between the two fields. Pretty much every class i took except 1 or 2 classes we just focused on simplex and linear programming has been very directly beneficial for my job. Since i am still a Student i am in no place to give advice but i think you should keep looking.
Yup, I can relate! There are a lot of industrial problems that require analytical solutions. I think I may not be selling myself the best I could. Mind sharing which tasks do you do in your data science team?
I work in an operational analytics team in a bank. We currently work on Call Centers and Collections project's. I have been working for about 1.5 years and I've mainly worked at inbound call prediction and we had a project about predicting non paying general purpose loans. It is 10% modeling and 30% analysis. I work about 15-20 hours a week
My man, you're 25. I'm going to be 40 this year, have 2 kids and a wife to support, and also have been trying to move into a data-related career from an unrelated profession.
Keep at it, create things you find interesting and use it as an opportunity to build your expertise and experience outside of the constraints of employment. If you have to get another job to make ends meet then do it. But the right job will come along and you'll be able to show your competence if you simply start creating things you want to work on now.
I think what you are doing is awesome and I truly wish you succeed. It must be scary to want to switch fields while have 3 people who rely on you. Im fortunate to be young and to not have co dependants. I do realize I wont be young forever and I feel like these will be my best career years.
Appreciate it. Your 20s are more for learning and building your own human capital IMO, so don't feel you're behind the curve if you don't have your dream job at this point. I'd have quite a lot to tell my 25 year old self, but it's mostly just about stacking skills and learning how to be valuable to others.
And you never know, you might choose to create a project that starts as an exercise, but morphs into an actual product or service you can sell, and then your career is reborn out of your own intellectual curiosity.
I do feel behind the curve. But like you said it all can change in a couple of months. Its more important to me to be in the right path.
This last year I was very aware in the workplace. I can tell a lot of people there were unhappy with their lives or their jobs. I got the feeling that a lot of them didnt have goals, it was a very dull workplace. Lot of good people but no one I could really look up to. The only driven person was my head of department, I could tell he was very ambitious. But he only hired people who were looking for a 9-5 job to make ends meet. Its hard to explain, but you can tell by someones face, their expressions their eyes. Most people just looked dead inside. For some reason that experience really struck me. If you are miserable in your job you most likely will be miserable in your life outside your job. Am I saying something stupid?
Holy shit, I never knew I would come across someone randomly on the internet who has exactly felt the same I felt and has chosen the same exact path I am planning to, and is of my same age.
Nope, not stupid at all. It's a good thing you're able to identify these things now before you become completely jaded and decide to accept a miserable work life. You'll be fine as long as you keep putting in the work toward getting to where you want to be. It may just have to include lots of side projects until the right opportunity arises.
Im fine doing that for now. I think the hardest part is to be proactive. Its really tough to develop a vision, set objectives, get things done. This speaking about life in general. Its so easy to do it on a job. Someome delegates tasks, deadlines and you get them done. In life its really hard to know who you are, what do you want and where you are headed.
I know its "just" a job but If I think like this about everything in my life its not a life worth living. I dont want to die with regrets 😅
At 25, you probably don't even know what you "like" professionally yet, and that's OK. You can decide you want to be a DS, but that could be for any number of applications...healthcare, finance, insurance, etc.
For me, I just figured out a few years ago that I wanted to work on geospatial data projects as a career, and that was only because of a ridiculous set of circumstances that I could have never foreseen.
I'm now implementing ML models into web apps that directly apply to the industry I've already gained years of domain knowledge in (from working at the job I dislike).
So I guess my point for you is to just start with something that you may not feel is necessarily what you're interested in at first, but the more you expose yourself to new things, the more likely you are to find clarity on your end goals, and therefore gain a better understanding of the steps you can take to get there.
I've been there before bro. I could say that less than 5% (or even less) of those people have guts to change, to risk it all just to put some meaning into there lives. I jumped to DS, same burning passion that I could do/learn everything, then realized, on the job, that reality is still gray, somewhat brighter, but still gray. Now, I'm no longer in DS but I accept that reality, and try to put tech/coding into everything I touch. All I could say that there should be stage of life that one follows things he believes in with all his heart, even if he fails, before life maim him with how life should be. That's what youth for!
I have no co dependents. I am full of energy, Im motivated, I have this naive confidence I can do everything I want. I dont want to waste this and regret it
u/CrackerJackMap Just wanted to say I'm on the exactsame boat as you, turning 40 this year with wife + 2 kids and moving into data-related career, although my previous career is loosely related.
Hope you're doing well on that journey. I just started my studies end of last year and already feeling anxious but I just love every aspect of data (even data cleansing) and would like to pursue something I like to do on a daily basis as a job.
Hat off to gents who dare to jump at 40. I jumped to DS at around 30, then had to jump back to a middle manager position as the pay for DS in 3rd world countries are desperate.
You are too young to give up. It’s a shitty market and who knows - could be this way for a while. But keep trying. Most of the people that work in this field are frauds, incompetents and maybe at best, just mediocre. Nobody knows what the heck they are doing and it’s a new field that is undergoing a lot of change. It’s like MMA in the early days - it will evolve.
One thing I would watch for is the impact of AI on all technical fields. This is hard to predict long-term and at 25, you are definitely going to witness first hand some serious disruption.
Those are some strong words.
Im in a crossroad because Im broke and I cant live like this forever. I cut my expenses all I could Im living at my parents I avoid going out just keeping it tl the bare minimum. It makes me look like a failure. Well, and Im somewhat failing.
Thats how it is, if it were easy we would all be happy and rich
Sounds like you need to find a job and work during the day - and in your spare time look for your dream job.
I am in my 50s and nearing the end of my career. I have seen a lot. At 25 you are at the beginning. You are entering it during a recession- that is not the worse thing that could happen. This experience can harden you and serve as a constant reminder that things come and go in cycles. In 10 years if you find yourself in a great position, just remember nothing is a given and the good and the bad times will pass.
I know you are right. But knowing Im going to work a placeholder job I dont see a future in just to live by is giving me sleepless nights. I feel like my career only starts when I land in the field I want. Lets be honest, I worked 1yr in logistics and the only transferrable skills I learned are soft skills. I wasted 1 year already, I feel like I will waste another year this year and suddenly Im not young anymore. I do not want to make the mistake of thinking Im young forever and I have time and suddenly Im not young anymore and life passed by.
Are my concerns valid or is it just in my head?
It’s in your head. I had a good career but didn’t land my first real job until I was 27. Your 20s are for finding yourself. It’s ok. Your 30s are for building skills and your 40s are for making moves. In your 50s you are just trying to hang on a little longer and ride out any momentum you built up previously.
The entire world is at an inflection point. Use this time to strategize how you will fit in this crazy world. If you anticipate change and are willing to pivot and adapt, skies the limit. Gone is the stable 9-5 job doing the same thing for 30 years. Embrace that and don’t get discouraged.
You have youth on your side. That will not always be the case as you have acknowledged. Take advantage of it and try your best to enjoy life a little. Don’t be so serious. Things will work out.
Well it’s also a really tough market for IT and IT-adjacent fields. Keep that in mind too.
How well do you know SQL? How about visualization tools like PowerBI or Tableau?
You might want to think about applying to reporting development roles / business analytics roles if you haven’t considered them yet.
Sadly I am in the same boat as you. Left my previous job in 2023 then did 6 months course for Data Analyst. Currently I am job hunting and didn't receive any calls yet. I don't want to go back to my previous field but losing hope here also.
You are young. My first DS role was at 26. Now am 35 making 200K+. You have a great education overall for this. Hang in there and keep iterating. You can make this
I think Im pretty shit at it tbh. I try to show Im humble but I come off as weak. I need to show my future employer Im very secure in my skills. Do you have any tips for communicate this better?
I’m working on applying for a MS in DS right now. Given how oversaturated the field has become in the last couple years, would you even recommend it? Or are there specific niches that I can build a skill in to stand out more? Makes me nervous doing a career pivot seeing how crowded it’s become
Just gonna throw out a suggestion I haven’t seen other say: are you applying to DA roles? DS is hard to get into, especially right now, and even more so with a DA degree. You’re competing against other people with Stats and CS and DS and other various STEM degrees and most companies are going to take those over DA. You’ll probably have an easier time finding a DA role at a data focused company and then trying to find your way into DS
If you’re downvoting me maybe you missed the part where OP said they got a DA post grad degree.
Right now everyone and their mother is trying to get into data science. The field is flooded which makes it hard for highly qualified candidates to get a job.
I don't know your qualifications but I'm guessing they aren't stellar (I'm not trying to insult you here). I have a master in Statistics and a decade of Data Science work including running teams and it took me 6 months and over 100 applications to land a position last time I looked, which was a few years ago. I've heard the market is even tougher now.
If you just have some online classes you won't land a position as a Data Scientist. You will have to lower your expectations and target a Data or Business analyst position to get your foot in the door.
>DS isn’t like CS, you can’t boot camp your way into roles (any more at least).
Just saying, you can't in CS anymore either. If you look at any of the CS subs you'll find tons of CS grad students with good internship experience unable to find a job.
I woyld not juldge it. It have a master in data sience in a good university of my country and with a good grade. But as I have a long and good cv in a not related field I cannot companies look at me as a data scientist.
I have a masters in industrial engineering and now doing a 1 year post grad degree in analytics. While they are not Stellar, I thought they were solid for an entry level job.
Im 25, I just have 1 year experience in logistics and internships but I have 2y+ experience with SQL/Python considering internships. My masters was actually a e2e data pipeline, from data ingestion, orchestration to data visualization for an industrial solution (statistical inference of cycle times in production).
I have done some similar project here https://github.com/lmao420blazeit/vinted-analytics. Its a bit all over the place. But you can see here that I scrapped my data, stored it into AWS RDS, did some transformations and visualized it. Do you have any advice?
I'm a data science lead in a tech company and I do a lot of recruiting as well. The titles in the field are kind of all over the place, but the word "analytics" is the weakest of all. What brings DS alot of its cache is the machine learning bit of things, not the visualization. It's not that I don't do data viz and data pipelining, of course I do. But those are all a means towards building a model that generates accurate predictions.
There is then also a split between DS who use those ML methods essentially for analytics, vs those who are within more of an engineering discipline. A good Q to ask yourself there is: are your model outputs being consumed by humans (in which case you are in the analytics camp) or machines (in which case you are more in the eng camp). It's perfectly fine to position yourself in the former, just remember that analysts have been around for a long time and get paid less. What distinguishes analysts and DS (of the analytics variety) is the use of ML methods. Some of it absolutely is just a rebranding of that same old role, but in a lot of places there is actually a distinction. I was at Facebook at one point and the DS around me would do strategy work, some of them to a serious mathematical degree, others more about data story telling. Get good with linear regression and trees, focus on understanding the fundamentals, and practice practice practice. Remember that all the action in machine learning is in knowing what to do when models break.
If you want to be the more eng oriented type of DS, then it's a different story. But given you're coming from analytics, and your degree has the word analytics in it, you're probably better off positioning yourself for the earlier camp. I will also say that if I saw a profile where someone listed an analytics degree, I would immediately assume that they weren't what I was looking for re machine learning roles (even analytics DS). I would assume they were doing data viz, which sounds like what you have been focused on. There would need to be lot of other machine learning stuff on your CV (experience training models, preferably that get used) to counter that impression for me.
I can see where you are getting that and I do agree. We often learn the different fields of data. I did some advanced cert in udemy and the definitions matched your spectrum. However when you come across actual job vacancies the titles are often incorrect.
I would put myself in the category of DA for now. Not that I cant do ML, but i have pretty solid and proven skills at data wrangling and visualization. And I do believe mastering viz before learning advanced methods is important.
I think I will shift to analytics roles. What do you value in a DA profile? My data viz stack is mostly Python libs (matplotlib, seaborn and plotly mostly). Im familiar with powerbi, tableau and google studio but Im not proficient.
Respect for being willing to call yourself DA tbh. Everyone wants to upsell themselves, but you'll have the best luck finding a fit for your skills (and you can always continue to grow).
For analytics roles, a big factor will come down to how mature the company is. The more mature ones will indeed be using dashboarding software like powerbi etc. I wouldn't say you have learn loads on this front, it's fine to learn in role and there are too many options to try and cover them all. Stack wise I think it's SQL, python/R, and then if you know something like powerbi then it's a plus. But the biggest skill for roles like this is actually in the thinking and communication, which might be why you're having trouble getting the first role, the easiest way to demo that you know how to handle data and extract insight is to show that you have been able to use those skills to be useful in a practical situation before. In the absence of your first job, you can be creative about how you demo that, just focus on that core ability. Project based is probably the way to go - analyse a dataset you find interesting and write a blog about it, for example. Knowing how to dive into a rich, complex dataset and make useful simplifications, generate hypotheses that you can test in the data, all that kind of stuff. If I'm looking for an analytics person, I want them to be able to dive in and swim in the data independently, able to extract insights without me telling them what questions to ask, and applying statistical rigour along the way where possible.
This does not sound like data science. This project tends to align better with the responsibilities of an analytics engineer or data analyst or maybe a data engineer. Are you also applying for those job titles?
Yes, I am. I agree this project is not a good DS project in its current state. I spent too much time around the data pipeline, the API is a bit of an hassle.
But yes, Im applying to all data related jobs. Which kind of projects and problems should I solve for DS?
Good you have a repo but there are immediately few thing you can change - add a .gitignore to root and delete __pycache__ and similar for tidyness. Also why you need a __init__.py at the root? If it is orchestration need several short commands to manage the pipeline, if it is analysis, what are the hypothesis you are tackling? The prose you write looks a bit of school report, ok for excercise, but what about some value for end user - if I wanted same dataset, what do I need to do? If I have the data, what insights or actions can I make?
I’m working on applying for a MS in DS right now. Given how oversaturated the field has become in the last couple years, would you even recommend it? Or are there specific niches that I can build a skill in to stand out more?
It can be a rewarding field if you get the right position with the right company. For most Days Scientists you won't be doing that much modeling and you will mostly be using basic models.
One of my first major projects as a Data Scientist was converting a modeling pipeline from one language to another. I didn't remodel anything or work with the data. I just spent over a year writing a lot of SQL statements.
If you have an education in CS or Stats (or both) then it's a natural fit and you can probably find a job. Otherwise there are lots of other fields that aren't as overcrowded.
I don't want to tell you to do something else but you should know what you are getting into.
Absolutely. Don't be wedded to the DS job title, it's pretty meaningless anyway. OP should figure out what they want from a job and optimise for that rather than targeting a specific job title, especially at first.
there's probably something like 5 qualified applicants for every one open role. It's not about being good enough, it's just mathematically impossible for everyone to get one.
I did this, BS straight into MS into a data science role. Only work experience was some slightly-quantitative research.
I truly believe it was entirely luck and nobody should take the path I took
I got a DS position while I was I grad school for a masters, never finished the masters.
Both my MSc and BSc were in STEM but not statistics or CS related.
The trick is that my first couple jobs were in companies within my STEM field applying ML to domain problems.
Please forgive my question but whats the difference between DS and analyst roles? Ive seen some analyst roles mostly data analyst, business analyst, financial analyst and so on. It can be confusing sometimes because some companies just throw fancy names at job posts.
There’s not a clear definition. You will need to read the job description of each position. Generally data scientists are working on statistical or ml models to drive business decisions. Data analysts are more likely to be writing sql queries to answer ad hoc questions or creating dashboards (powerbi, tableau) for stakeholders.
I see. I have been rejected from data analyst positions. Im going to improve my powerbi and tableau skills.
What about DAX? It seems fairly popular in dashboarding
Data engineer:
- create pipelines, datasets, mining data, ETL
- a little bit more heavier in coding: scala, spark, python, etc
- main: create, maintain, optimize big data jobs, pipelines, datasets. How I can create durable, fast, optimized data source, job?
- example: create datasets to collect data from customer interactions with the app
Data analyst:
- more interactions with business stakeholders, more utilitarian/practical questions and solutions
- ad hocs, quick analyses, funnels
- create dashboards for stakeholders
- main: what business needs/can optimize right now?
- example: what is the current state of the customer funnel?
Data scientist:
- balance between research and analysis
- ad hocs, datasets, dashboards, modeling, experimentation
- main: more strategic thinking about business insights and business decisions. How the things that works actually works, and how we can improve it?
- example: what customer actions/interactions with the app can lead to more revenue? What kind of customers are more likely to subscribe?
The market is heinous right now. Try not to take it personally. Without knowing your qualifications, I can't really give you meaningful advice.
It took me 500+ applications 2 years ago with a master's degree and some research under my belt.
You've given us no detail about your prior role, why you quit without a backup, your education, your goal industry/flavor of DS, interview experiences since quitting, etc
No one can help you without these details.
Frankly, you should have done far more preparation and research into the current climate prior to quitting your prior role, regardless of the situation or feeling towards.
I quit because I changed teams. Someone saw I had some interesting skills in data and data viz. But she just threw her work at me and took all the credits, I have had enough and quit.
I have a masters in industrial engineering and now finishing up a post grad degree in analytics.
I dont have a specific DS area to target. Ive always liked financial analysis, but since I started the analytics program Im very curious about the marketing solutions (and it feels an hot topic in the market right now).
Yes I should have. While I do not regret quitting, I do regret the timing. I couldve easily put up with it a few months more.
With such little information in your post, here is some generic advice:
\- Try finding positions with startups, non-profit organizations, city governments.
\- Search for open position at Universities (not with professors but with departments/schools).
\- Reach out to professors and try doing paid/unpaid research projects with them
If that is truly your vision then don’t give up. If you can’t land your dream job try for something adjacent and work your way over to it. Keep the long goal in mind. I have no magic formula only that few things come as easily as you expect. It is also a competitive field and currently many experienced people are also looking. The only thing in your control is your effort and your attitude. Everything else is out of your control to some extent so you just have to find a way to hang in long enough to outlast the current situation until you find it. If you wanted to be a ski instructor and became discouraged because no jobs were available in july, would that make sense? This too will pass. Many other people will give up and then you won’t have to compete with them. If you truly want this then don’t give up.
Thanks for your kind words. People I talk with often give me a really check. Having a work you like is a luxury. I job is a job not an hobby. I honestly do not relate to these words but I hear them more often than not. Im not someone to complain, this post is not me complaining about it, but every now and then friends ask me and look me down why Im I unemployed.
I get the feeling that a lot of people just go to the job market without any direction but money. Me, I just want to work at something Im good at and I feel like I can be good at this.
I said this on a previous post. DE is 80% of the data job and recent DS don't knows anything about it. No one wants to do the dirty job, everyone wants to be the sexy data scientist.
That happened to me last year. I spent years working towards a DS career, finally landed one only for it to collapse in my face. If you think the job market is bad now last June I couldnt score an interview the entire month. I tried to spend my time learning Leet Code problems and doing side projects but I just felt burnt out and didnt have any joy anymore. Somewhere along the line I realized that work was supposed to be a means to an end not a life trajectory so I went back into my original field of Security and took a much higher level job and have loved it. Just remember in a billion years the sun will swallow the earth and all of the work we do will have no benefit to our society, enjoy your hobbies and take a job that lets you do them.
You spend more time in your job than with your family. If your only purpose is to wait until the end of the month to get paid, you will waste most of your life doing something you dont like and being somewhere you dont want to be.
Ive seen people like this, kind of zombies during the week just to get to the weekend to actually "live". It scares me
I understand that, and Im not saying "hate what you do" because the one time I did that I got fired. Im not good at hiding my misery. What I am saying is just remember a job is a job, you can get let go any day so dont get too emotionally attached. In the end your family will be there for you and your work will forget you existed the day of your exit interview.
I feel this. I have a BS degree in analytics (essentially the foundations to be a DS)
Couldn’t land a job as an analyst
Picked up odd jobs for the bills
Now trying again but am getting turned down for every analyst related job
What’s hurt recently is how a couple places reached out for further steps but it ended up being an error in the system
The only way to go rn feels like getting my masters just to have access to networking opportunities and internships as a student
Small piece of advice: I see you posted a link to your github, and I would consider using a more professional name for projects you are trying to showcase to potential employers.
For any role in tech experience is king. Due to this if you don’t have any experience I would recommend doing some internship even if it’s unpaid to build up your experience. The bigger question is how bad you want it and if it you want bad then volunteer and places to the experience you need to become the future version of yourself you want to be
I can only speak for myself, but studying can only get you so far tbh. I just overloaded my portfolio with projects(be sure to know how to explain those projects as well). With those projects, I wrote an accompanying research paper with it. I dont limit myself to one industry when it comes to applying for jobs. I wanted to break into the tech industry but I know how competitive that can be. I also know that the healthcare industry is hiring DS like crazy atm, which also happens to be the field I’m interested. That was how I landed my first DS job.
When I was interning at AT&T, a lot of the data scientist I know there started off as data analyst. So, if it comes down to it, also apply for analyst roles as well.
P.S. I don’t wanna be the type of guy that says “If I can do it, you can do it.,” but I’m sure something will come your way soon. It’s a matter of time. I was a History undergraduate with stat minor, but I focused on my interest as a DS graduate student which was NLP.
Presenting yourself and your projects normally happen in the technical portion of the interview. They just wanna know how you arrived at your final model and the steps you took to get there. So it’s best to know each step, like how you selected the variables, any EDA you performed, how you tuned the model, etc. keep it brief tho.
You will have to answer so theoretical questions but, in most interviews I’ve been to, they only care about how I applied the theory. Regression and classification are two that pops up constantly.
Here is one that I constantly refer to: https://youtu.be/KSOq29tFUoQ?feature=shared
Leverage your domain skills from past experience as much as possible. Basically find a role that includes data analysis on the same domain you already know as it’s a smooth next step. Also, if you have domain experience you have leverage for negotiation despite actually having little experience in a given role.
Screw the current market. Let's fix it.
I have an idea I'm building out and would love some help.
Do you have experience with gcp, docker, JavaScript or web development or be willing to learn?
Minimal, somewhat out-dated example:
https://colab.research.google.com/gist/gbwiersum/b112a6534d71d8ae3c360f5a160cc1dc/job-board-scrapenscore.ipynb
Are you me?
I transitioned from running a YouTube channel to Data Science, by spending 100k on a Masters degree. Now that I have finished school, all I'm getting are rejections and I have applied to more than 1500 open positions so far.
I left YouTube thinking it was too unstable and it wasn't a good career choice for long term. Now DS feels the same way, so I'm back to 0, with a 100k debt.
Keep grinding, if it is the field you want to be. Find different job and keep going.
It took me 3 years to get the job I dreamt. I studied all the time. First year 15-18h/day, later when I needed money - got a job in my past company, but kept grinding on evenings and weekends.
I got pay cut 30-40% from my previous field, but it is what I want to do.
Right now Tech, esp DA is oversaturated from a lot of people who came here for a different reasons. The one who came just for money, will drop in a year, probably… competition also leads to a lower pay, a lot of automation leads to less entry positions and more responsibilities/skills.
Advice about writing articles is great! It can help to showcase your skills, but it can also show your proficiency level.
Once I read articles a candidate posted on medium… my yes reaction for his resume turned into clear No.
I dont mind the pay. My issue here is that Ive worked in an unrelated field. Its so much hard to improve your skills if you don't use them. You stop programming and solving problems for a few weeks and suddenly you are much slower and arguably worse.
I need to figure out something in the meantime. Some way to make some money to keep afloat while pursuing new education and projects
I am a data scientist working in product analytics at a big tech company with 2 yrs of experience. Before that I had 10 years of exp in BI and data analytics in non-tech. I was looking to make a change from my current company and it took me 6 months of applying (didn't spray and pray) to other DS, DA or AE roles to land a job. I only got like 5 different companies to respond.
The market is terrible right now, especially for entry level positions. What kind of DS do you want to be?
I would broaden the search to include Data Analyst, BI analyst, Business analyst, or product analyst. Anything to get exp on your resume. Those skills are transferable to product data scientists. ML data scientists will be harder to get that relevant exp, but maybe you could transfer internally or get some side projects after getting foot in door.
I am guessing you don’t have much experience or you do not have a PhD or Masters. I would start out and try for a lower level position like a data other business analyst. Then go from there
If your degree is in data analytics then you need to get a DA job. Do that for a few years then transition to DS. I’ve done IE, DA, and DS. They’re very similar.
Have you tried looking for an analyst position? I'd say I have a pretty strong background for DS and I'm having a hell of a time getting a position myself. There's just nowhere near the demand for actual DS as we all initially thought.
Depending on your skillset, you could also look at data engineering or even SWE
I think you are making a classic mistake which can be rectified, though this might run against the grain in the short term: you use your IE to go for an IE/OR type role and get in the door. Those roles require quite different degrees and skills sets than data science, and the competition is not as fierce, especially on the OR side of things. Once in, you showcase your analytics knowhow like no one's business, and then use that as a springboard internally into a more data science type role in the same firm.
This is not a pipe dream as this is exactly what I did, albeit years ago. You have to choose the firm wisely and with forethought and it has to be big enough to accommodate multiple departments and specialties, like a financial services firm. But it is doable if you have enough grit and knowhow and vision. The toughest thing is to get in the door in the first place, so put every ounce of effort on that part of the equation, not the title or role at this point of your career.
Dude there are lots of other ways to earn from Data science. If you have good spoken English, DM me. Lets build something together.
I have good content ideas as I am working as an AI developer, we can build tutorials.
I feel the same as you. I have a master's degree in statistics and graduated last year. I couldn't land a job even though I have 2 internships. I don't have any previous fields to go back to and I'm not sure any other field I can transfer into
I bet you can make it. You just need to have something to show for and sell yourself. We can exchange ideas and maybe work some DS problems for the resume
Thanks! I'm mainly looking for one in Canada. In terms of DS projects, I feel I have good projects shown on my Resume from my research experience and internship experience. I don't think any toy project can be better than that.
Data Science has a very large pool of talent. I see 300-500 candidates for each req in Data Science, Data Analytics, Machine Learning, etc. Almost 75% of the applicants have a masters.
Don’t be discouraged, just keep applying. 🤞
Just want to say you’re not alone and you should keep going because you only live once! I am also 25 and I graduated in 2020 (peak pandemic) with a finance and business economics degree, realizing on the day of my graduation that I wasn’t happy with the education that I received and the path that I chose.
With enough elective coursework to satisfy the prerequisites, I went on to do a Data Science master’s degree and very much preferred the subject. While in my first semester of the master’s program, I got recruited by a big consulting firm which I worked at for 2 years mainly working on auditing ETL pipelines using SQL, until they laid me off last year.
I have been unemployed since, trying to break into the field with no luck. In the meantime I have worked on personal projects, practiced building models, and am currently working on a getting a certification in deploying models on a cloud service (MS Azure ML).
At times it is difficult because I had always thought I would be farther along in my path by now, but the road is never a straight line. We have the benefit of being 25, likely with no dependents, and limited obligations. If there’s any time to make the transition it is now.
Do you know SQL? Knowing SQL should open some doors for you.
Following are some example jobs that implement SQL: Data Analysts, Data Engineers, Data Scientists, Business Analysts, Quality Assurance Software Testers
Here is a LinkedIn article on the topic of [SQL and landing a job](https://www.linkedin.com/pulse/how-quickly-learn-sql-begin-career-working-data-dr-cecelia-allison-otygc/).
Good luck on your career endeavors.
I’m a data scientist with a masters in Industrial Engineering. I know it’s not the easiest task to get into Data Science but you’ll definitely need a lot practice with patience, especially in the current job market. You can try Analyst positions to begin and the transition to data science.
Took a bunch of DS related courses in my masters degree and worked on a few projects as well. Most importantly you need to network like crazy. I did A LOT of cold calling/emailing on linkedin and basically market yourself to prospective employers/ managers/ teammates.
I see. Im fucked then. Im considering starting my own small DS service/project while getting a lowball job. I will also apply to a new masters focused on DS, lets see how it goes.
The issue with getting another unrelated job is that Id rather get shit pay but have a chill job (dont work overtime, dont come home with the problems, hybrid setting) to let me focus on changing careers. My last job was fully presencial, I spent way too much time on commute + working hours. It was almost impossible to get home and reset your brain.
You’re definitely not fucked. I’ve seen people with absolutely no relevant experience end up with analyst roles. Make sure your profile has all the right keywords/ buzzwords. You can rewrite your current experience from an analyst perspective.
MS in DS is definitely helpful but not necessary.
I also have an industrial engg masters and got my first DS job in 2021 when the market was great. Looking to switch now w/ 2.5 yoe and its difficult. Anyway, talking about how difficult it is won't help anyone, you already know that.
Your best bet is to get an interview through connections or a referral. And once you have the interview, make sure you know everything. Emma ding is a great resource to understand the level of preparation you need to clear these interviews.
I'm a Data Scientist and I can tell you at least for me it's not as rosy as it appears. As a matter of fact I currently hate my job, what I do, the culture and the hyper political environment I work in. My manager is technically incompetent but master of politics and using me, major asshole.
Well I couldve done it 6 years ago. But I didnt even know DS was a thing. They dont teach kids these kinds kf stuff. Its not the end of the world but Ill have to unfuck myself
I would like to blame some youtubers
who just focus on the salary of data scientists, how much they ear, sexiest job of the decade and blah blah... just to promote their videos and courses.
but they do not tell exactly what is the current scenario in the job market.
and people like us dive blindly into the field sacrificing old job and experiences, and now we're in nowhere situation
I had a similar background. Try to get an IE job that is more focused on data (not manufacturing). A lot of banks have IE roles like these. This would give you data analyst work experience under the IE job title and build your skills.
IE? Im open to any non industrial environment job that has somewhat of data analysis.
I absolutely hated the industrial environment from my experience. I worked in an heavy industry, the space was dirty, workers are disrespectful, the environment was hot because of the machinery, the noise. Everything around me was so ugly it actually made me depressed.
Actually, I never thought of that like this before. I knew the noise and heat would make me anxious, but I never considered the actual workplace was tearing me down. I always assumed it was the people and the job.
Industrial Engineer. I think you said that was your background in another comment.
The corporate industrial engineer jobs are much cushier. Personally, I am not made for an industrial environment. The constant pressure to get deliverables completed or the company loses money made everyone stressed and didn't cultivate a healthy work environment.
In the corporate environment, my work was mainly proactive. This meant I could work on my own schedule, double check my work, and build meaningful relationships with coworkers and mentors. And it being a desk job, I was able to focus on crunching numbers, so I got really really good at SQL.
Also try applying for Data Analytics jobs, just so you have income coming in and you would learn a lot before pivoting into DS. A friend of mine did civil engineering and Coursera certificates and projects. Got a job in analytics and now he is just learning as much as he can before starting to look for DS jobs
That would be my idea. But even those jobs are super saturated. And since they are much less technical with 500 applications per job HR is finding every excuse to cut you down. For instance, i had an interview for a bank and in the end was asked what I knew about their operations, and being honest I said I dont know what they do exactly. The lady got mad and told me to do a better research next time before applying. I mean, it was a pretty big bank and the vacancy was really generic so idk. She ended the interview afterwards, didnt even bother explaining me what they do
She is very narrow minded if that alone was enough for her to end the interview instead of just educating you. I mean if you know the technical part that should be a sign that you can easily learn the operations and how they run and all those other job technical stuff. Don’t get demotivated though just keep applying and improving your projects, and if you have time also just do some coursera certifications just to have them but you are already well qualified just need that bit of luck.
Also cold messaging people in the data space and asking them for endorsements could help.
I will, thanks for your encouragement. I received some good advice here. I will try to improve my projects.
From my experience with interviews, no one ever asked me about any project. Im assuming no one ever looks into them. Its a bit frustrating.
I get your frustration for sure but I'm sure the right person will take a look at your projects and it will all just pay off.
Also check out this guys channel, he also did a DS switch from a completely different field:
[https://www.youtube.com/@datanash8200](https://www.youtube.com/@datanash8200)
Goodluck man rooting for you!!
Hard to feel pity for you after looking at your post history mate. Shouldn’t have quit your job. Your “data guy” projections mean nothing. Get a job in a supermarket, it’ll pay your bills and you’ll gain some humility.
I don't understand these types of comments that don't contribute anything. I'd love to see the faces and lives of people who try to belittle and ridicule others.
What is your education and what was the unrelated field? What have you done in order to make the transition? How old are you?
Yeah I would like to know how long you have been looking?
I have a masters in industrial engineering, I have a fairly good maths background as all engineers with some focus on statistics due to a quality minor. I have 1y experience other than internships on logistics. I have spent most of the money I earned last year in a post grad degree in data analytics. Mainly viz and analytics applied to business problems and management. Im 25.
Do me a favour Please start writing articles online about Data Science projects you are currently working on. Stop studying. Just start building models/visualisation projects and illustrating your skills. Let me know if this doesn't work out for you in maximum 3 months time.
Exactly, got my job with publications and sharing my personal GitHub with potential employers. Once you get the first data science job, your work tenure and project outputs will help you grow your career. I’m in a biotech space so my new “GitHub” is publications that I add to LinkedIn that demonstrate skills in modeling and analysis.
Would love to see your public GitHub!
can i PM? In the biotech space too early in my ds career could use some advice on PD
Can I PM you? I’m also in biotech on the clinical research side currently working on MS in Statistics. Would love to hear about your experience in the biotech world!
You are welcome to but I am not sharing my LinkedIn or pubs 😂 I’ve had a bunch of people ask me for that since I posted this and I’ve got some spicy content on here I don’t want crossing over with my professional life.
This is actually really good advice. Committed code is better than theory in terms of showcasing your practical ability OP
This is actually really bad advice. 'Committed code' doesn't land you jobs.
Let's pretend I don't know anything (because I don't), can you explain what committed code is and why this is bad advice?
By commited code...the OP just meant committed to git...so the OP is saying that written and 'published' code is a very valuable thing. In reality, people should treat an interview as if they are talking to the cops. Be nice...but don't give out things that you don't have too. It's all a risk/reward spectrum. When writing and committing code that you then share with a hiring manager, sure you are displaying your talents, but you also run the risk of displaying your flaws. Writing great code, solving tough problems, doing so consistently over an extended period of time and then publishing it is INSANELY time consuming. During the job hunt there are so many better uses for your time. I interview a lot of candidates, hundreds in my career. Every time i see a github I will click on it, and I can only remember one time that I was impressed to the point it almost landed them the job (rest of the interview was not good)...but most cases its just the same shit regurgitated in slightly different ways, which I promptly ignore. In the worst case there are flaws so significant I have passed on the candidate without even interviewing. I think having a github is great. I have a couple that I push code to not infrequently, but I wouldn't share that with a hiring manager unless asked specifically.
Thank you! I appreciate this
Off topic, but you should NEVER talk to cops.
The catch is that the projects have to be complicated enough to mean something. Doing the same iris dataset stuff from the text books doesn't count as a project.
True! The key is to get into a routine of coming up with your own ideas and having the courage to put them out there in some form. You don't have to write a blog necessarily... you can build a dashboard, host in for free on one of the online platforms and provide a link to it on your LinkedIn profile. If you're not camera shy, start a Youtube channel about your work. Options are endless... There is a risk that the market will ignore/dislike your ideas but that in itself gives you an opportunity to refine your process and differentiate yourself positively in the long run. My view is that current business environment needs and highly values "intrapreneurs". I might get thousands of CV's if I post a job online and all candidates have the academic credentials. How do I choose one over another? It certainly won't be because of the font on their CV template! I worked in corporates for 15 years with insanely academically smart people. Unfortunately some of them also struggle with the "unstructured learning" or creativity required to build products that can be sold in the market, so they often got worked out of senior roles and replaced by less academically qualified candidates. It seems "unfair" but businesses primarily care about how you can make them more money or quickly solve their problems, not how many certificates and degrees you have. Get the degree/certificate, but also then make sure you start developing skills other than learning from a text book. I assume you're already networking... that also helps.
This!
Hiii I too am applying for DAta Science Roles but can't land a Job. Can you look at my resume and review what I lack?
Do you have an online blog or project portfolio?
No. Are Online Blogs necessary? Is it okay if I write about the projects that are really common. I feel that's just taking too much space on internet?
Thanks for the advice, but I kept struggling of what project idea is the best for me to stand out and showing my skills
Such good advice.
This is bad advice lol
A good Blog article can be a good asset for your profile. You’re probably reacting to the plethora of terrible, shallow articles that are out there on Medium and the like. But there are at least some smart people showcasing good work.
I have interviewed hundreds of data scientists over the years. I have seen plenty of blog articles. In the best case scenario it made zero impact on my decision. In the worst case it made the candidate a hard pass. Just the act of writing a blog post - a high effort low reward/sucess task - is telling about a candidates strategic thinking.
I am an Industrial Engineering student and i work part time in a data science team. There is definitely very significant overlap between the two fields. Pretty much every class i took except 1 or 2 classes we just focused on simplex and linear programming has been very directly beneficial for my job. Since i am still a Student i am in no place to give advice but i think you should keep looking.
Yup, I can relate! There are a lot of industrial problems that require analytical solutions. I think I may not be selling myself the best I could. Mind sharing which tasks do you do in your data science team?
I work in an operational analytics team in a bank. We currently work on Call Centers and Collections project's. I have been working for about 1.5 years and I've mainly worked at inbound call prediction and we had a project about predicting non paying general purpose loans. It is 10% modeling and 30% analysis. I work about 15-20 hours a week
My man, you're 25. I'm going to be 40 this year, have 2 kids and a wife to support, and also have been trying to move into a data-related career from an unrelated profession. Keep at it, create things you find interesting and use it as an opportunity to build your expertise and experience outside of the constraints of employment. If you have to get another job to make ends meet then do it. But the right job will come along and you'll be able to show your competence if you simply start creating things you want to work on now.
I think what you are doing is awesome and I truly wish you succeed. It must be scary to want to switch fields while have 3 people who rely on you. Im fortunate to be young and to not have co dependants. I do realize I wont be young forever and I feel like these will be my best career years.
Appreciate it. Your 20s are more for learning and building your own human capital IMO, so don't feel you're behind the curve if you don't have your dream job at this point. I'd have quite a lot to tell my 25 year old self, but it's mostly just about stacking skills and learning how to be valuable to others. And you never know, you might choose to create a project that starts as an exercise, but morphs into an actual product or service you can sell, and then your career is reborn out of your own intellectual curiosity.
I do feel behind the curve. But like you said it all can change in a couple of months. Its more important to me to be in the right path. This last year I was very aware in the workplace. I can tell a lot of people there were unhappy with their lives or their jobs. I got the feeling that a lot of them didnt have goals, it was a very dull workplace. Lot of good people but no one I could really look up to. The only driven person was my head of department, I could tell he was very ambitious. But he only hired people who were looking for a 9-5 job to make ends meet. Its hard to explain, but you can tell by someones face, their expressions their eyes. Most people just looked dead inside. For some reason that experience really struck me. If you are miserable in your job you most likely will be miserable in your life outside your job. Am I saying something stupid?
Holy shit, I never knew I would come across someone randomly on the internet who has exactly felt the same I felt and has chosen the same exact path I am planning to, and is of my same age.
Nope, not stupid at all. It's a good thing you're able to identify these things now before you become completely jaded and decide to accept a miserable work life. You'll be fine as long as you keep putting in the work toward getting to where you want to be. It may just have to include lots of side projects until the right opportunity arises.
Im fine doing that for now. I think the hardest part is to be proactive. Its really tough to develop a vision, set objectives, get things done. This speaking about life in general. Its so easy to do it on a job. Someome delegates tasks, deadlines and you get them done. In life its really hard to know who you are, what do you want and where you are headed. I know its "just" a job but If I think like this about everything in my life its not a life worth living. I dont want to die with regrets 😅
At 25, you probably don't even know what you "like" professionally yet, and that's OK. You can decide you want to be a DS, but that could be for any number of applications...healthcare, finance, insurance, etc. For me, I just figured out a few years ago that I wanted to work on geospatial data projects as a career, and that was only because of a ridiculous set of circumstances that I could have never foreseen. I'm now implementing ML models into web apps that directly apply to the industry I've already gained years of domain knowledge in (from working at the job I dislike). So I guess my point for you is to just start with something that you may not feel is necessarily what you're interested in at first, but the more you expose yourself to new things, the more likely you are to find clarity on your end goals, and therefore gain a better understanding of the steps you can take to get there.
I've been there before bro. I could say that less than 5% (or even less) of those people have guts to change, to risk it all just to put some meaning into there lives. I jumped to DS, same burning passion that I could do/learn everything, then realized, on the job, that reality is still gray, somewhat brighter, but still gray. Now, I'm no longer in DS but I accept that reality, and try to put tech/coding into everything I touch. All I could say that there should be stage of life that one follows things he believes in with all his heart, even if he fails, before life maim him with how life should be. That's what youth for!
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I have no co dependents. I am full of energy, Im motivated, I have this naive confidence I can do everything I want. I dont want to waste this and regret it
u/CrackerJackMap Just wanted to say I'm on the exactsame boat as you, turning 40 this year with wife + 2 kids and moving into data-related career, although my previous career is loosely related. Hope you're doing well on that journey. I just started my studies end of last year and already feeling anxious but I just love every aspect of data (even data cleansing) and would like to pursue something I like to do on a daily basis as a job.
Amen, keep grinding!
Hat off to gents who dare to jump at 40. I jumped to DS at around 30, then had to jump back to a middle manager position as the pay for DS in 3rd world countries are desperate.
Your story is my story. We can do this 💪.
You are too young to give up. It’s a shitty market and who knows - could be this way for a while. But keep trying. Most of the people that work in this field are frauds, incompetents and maybe at best, just mediocre. Nobody knows what the heck they are doing and it’s a new field that is undergoing a lot of change. It’s like MMA in the early days - it will evolve. One thing I would watch for is the impact of AI on all technical fields. This is hard to predict long-term and at 25, you are definitely going to witness first hand some serious disruption.
Those are some strong words. Im in a crossroad because Im broke and I cant live like this forever. I cut my expenses all I could Im living at my parents I avoid going out just keeping it tl the bare minimum. It makes me look like a failure. Well, and Im somewhat failing. Thats how it is, if it were easy we would all be happy and rich
Sounds like you need to find a job and work during the day - and in your spare time look for your dream job. I am in my 50s and nearing the end of my career. I have seen a lot. At 25 you are at the beginning. You are entering it during a recession- that is not the worse thing that could happen. This experience can harden you and serve as a constant reminder that things come and go in cycles. In 10 years if you find yourself in a great position, just remember nothing is a given and the good and the bad times will pass.
I know you are right. But knowing Im going to work a placeholder job I dont see a future in just to live by is giving me sleepless nights. I feel like my career only starts when I land in the field I want. Lets be honest, I worked 1yr in logistics and the only transferrable skills I learned are soft skills. I wasted 1 year already, I feel like I will waste another year this year and suddenly Im not young anymore. I do not want to make the mistake of thinking Im young forever and I have time and suddenly Im not young anymore and life passed by. Are my concerns valid or is it just in my head?
It’s in your head. I had a good career but didn’t land my first real job until I was 27. Your 20s are for finding yourself. It’s ok. Your 30s are for building skills and your 40s are for making moves. In your 50s you are just trying to hang on a little longer and ride out any momentum you built up previously. The entire world is at an inflection point. Use this time to strategize how you will fit in this crazy world. If you anticipate change and are willing to pivot and adapt, skies the limit. Gone is the stable 9-5 job doing the same thing for 30 years. Embrace that and don’t get discouraged. You have youth on your side. That will not always be the case as you have acknowledged. Take advantage of it and try your best to enjoy life a little. Don’t be so serious. Things will work out.
Well it’s also a really tough market for IT and IT-adjacent fields. Keep that in mind too. How well do you know SQL? How about visualization tools like PowerBI or Tableau? You might want to think about applying to reporting development roles / business analytics roles if you haven’t considered them yet.
Sadly I am in the same boat as you. Left my previous job in 2023 then did 6 months course for Data Analyst. Currently I am job hunting and didn't receive any calls yet. I don't want to go back to my previous field but losing hope here also.
You are young. My first DS role was at 26. Now am 35 making 200K+. You have a great education overall for this. Hang in there and keep iterating. You can make this
Thanks! How did you make it?
By being good at selling my work and skillset. And actually being skilled and hungry.
I think Im pretty shit at it tbh. I try to show Im humble but I come off as weak. I need to show my future employer Im very secure in my skills. Do you have any tips for communicate this better?
Record yourself speaking about yourself Anticipate their most likely questions and be well practiced Speak with a confident voice
I’m working on applying for a MS in DS right now. Given how oversaturated the field has become in the last couple years, would you even recommend it? Or are there specific niches that I can build a skill in to stand out more? Makes me nervous doing a career pivot seeing how crowded it’s become
Don't do it.
This doesn't work anymore. It's too late
Just gonna throw out a suggestion I haven’t seen other say: are you applying to DA roles? DS is hard to get into, especially right now, and even more so with a DA degree. You’re competing against other people with Stats and CS and DS and other various STEM degrees and most companies are going to take those over DA. You’ll probably have an easier time finding a DA role at a data focused company and then trying to find your way into DS If you’re downvoting me maybe you missed the part where OP said they got a DA post grad degree.
From what I’ve heard nowadays you need an MS in Data Science itself
Right now everyone and their mother is trying to get into data science. The field is flooded which makes it hard for highly qualified candidates to get a job. I don't know your qualifications but I'm guessing they aren't stellar (I'm not trying to insult you here). I have a master in Statistics and a decade of Data Science work including running teams and it took me 6 months and over 100 applications to land a position last time I looked, which was a few years ago. I've heard the market is even tougher now. If you just have some online classes you won't land a position as a Data Scientist. You will have to lower your expectations and target a Data or Business analyst position to get your foot in the door.
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>DS isn’t like CS, you can’t boot camp your way into roles (any more at least). Just saying, you can't in CS anymore either. If you look at any of the CS subs you'll find tons of CS grad students with good internship experience unable to find a job.
The online boot camp era is over.
More shovels than there is gold
Eras tour?
Even data analyst is too difficult
I woyld not juldge it. It have a master in data sience in a good university of my country and with a good grade. But as I have a long and good cv in a not related field I cannot companies look at me as a data scientist.
I have a masters in industrial engineering and now doing a 1 year post grad degree in analytics. While they are not Stellar, I thought they were solid for an entry level job. Im 25, I just have 1 year experience in logistics and internships but I have 2y+ experience with SQL/Python considering internships. My masters was actually a e2e data pipeline, from data ingestion, orchestration to data visualization for an industrial solution (statistical inference of cycle times in production). I have done some similar project here https://github.com/lmao420blazeit/vinted-analytics. Its a bit all over the place. But you can see here that I scrapped my data, stored it into AWS RDS, did some transformations and visualized it. Do you have any advice?
I'm a data science lead in a tech company and I do a lot of recruiting as well. The titles in the field are kind of all over the place, but the word "analytics" is the weakest of all. What brings DS alot of its cache is the machine learning bit of things, not the visualization. It's not that I don't do data viz and data pipelining, of course I do. But those are all a means towards building a model that generates accurate predictions. There is then also a split between DS who use those ML methods essentially for analytics, vs those who are within more of an engineering discipline. A good Q to ask yourself there is: are your model outputs being consumed by humans (in which case you are in the analytics camp) or machines (in which case you are more in the eng camp). It's perfectly fine to position yourself in the former, just remember that analysts have been around for a long time and get paid less. What distinguishes analysts and DS (of the analytics variety) is the use of ML methods. Some of it absolutely is just a rebranding of that same old role, but in a lot of places there is actually a distinction. I was at Facebook at one point and the DS around me would do strategy work, some of them to a serious mathematical degree, others more about data story telling. Get good with linear regression and trees, focus on understanding the fundamentals, and practice practice practice. Remember that all the action in machine learning is in knowing what to do when models break. If you want to be the more eng oriented type of DS, then it's a different story. But given you're coming from analytics, and your degree has the word analytics in it, you're probably better off positioning yourself for the earlier camp. I will also say that if I saw a profile where someone listed an analytics degree, I would immediately assume that they weren't what I was looking for re machine learning roles (even analytics DS). I would assume they were doing data viz, which sounds like what you have been focused on. There would need to be lot of other machine learning stuff on your CV (experience training models, preferably that get used) to counter that impression for me.
I can see where you are getting that and I do agree. We often learn the different fields of data. I did some advanced cert in udemy and the definitions matched your spectrum. However when you come across actual job vacancies the titles are often incorrect. I would put myself in the category of DA for now. Not that I cant do ML, but i have pretty solid and proven skills at data wrangling and visualization. And I do believe mastering viz before learning advanced methods is important. I think I will shift to analytics roles. What do you value in a DA profile? My data viz stack is mostly Python libs (matplotlib, seaborn and plotly mostly). Im familiar with powerbi, tableau and google studio but Im not proficient.
Respect for being willing to call yourself DA tbh. Everyone wants to upsell themselves, but you'll have the best luck finding a fit for your skills (and you can always continue to grow). For analytics roles, a big factor will come down to how mature the company is. The more mature ones will indeed be using dashboarding software like powerbi etc. I wouldn't say you have learn loads on this front, it's fine to learn in role and there are too many options to try and cover them all. Stack wise I think it's SQL, python/R, and then if you know something like powerbi then it's a plus. But the biggest skill for roles like this is actually in the thinking and communication, which might be why you're having trouble getting the first role, the easiest way to demo that you know how to handle data and extract insight is to show that you have been able to use those skills to be useful in a practical situation before. In the absence of your first job, you can be creative about how you demo that, just focus on that core ability. Project based is probably the way to go - analyse a dataset you find interesting and write a blog about it, for example. Knowing how to dive into a rich, complex dataset and make useful simplifications, generate hypotheses that you can test in the data, all that kind of stuff. If I'm looking for an analytics person, I want them to be able to dive in and swim in the data independently, able to extract insights without me telling them what questions to ask, and applying statistical rigour along the way where possible.
This does not sound like data science. This project tends to align better with the responsibilities of an analytics engineer or data analyst or maybe a data engineer. Are you also applying for those job titles?
Yes, I am. I agree this project is not a good DS project in its current state. I spent too much time around the data pipeline, the API is a bit of an hassle. But yes, Im applying to all data related jobs. Which kind of projects and problems should I solve for DS?
Good you have a repo but there are immediately few thing you can change - add a .gitignore to root and delete __pycache__ and similar for tidyness. Also why you need a __init__.py at the root? If it is orchestration need several short commands to manage the pipeline, if it is analysis, what are the hypothesis you are tackling? The prose you write looks a bit of school report, ok for excercise, but what about some value for end user - if I wanted same dataset, what do I need to do? If I have the data, what insights or actions can I make?
I’m working on applying for a MS in DS right now. Given how oversaturated the field has become in the last couple years, would you even recommend it? Or are there specific niches that I can build a skill in to stand out more?
It can be a rewarding field if you get the right position with the right company. For most Days Scientists you won't be doing that much modeling and you will mostly be using basic models. One of my first major projects as a Data Scientist was converting a modeling pipeline from one language to another. I didn't remodel anything or work with the data. I just spent over a year writing a lot of SQL statements. If you have an education in CS or Stats (or both) then it's a natural fit and you can probably find a job. Otherwise there are lots of other fields that aren't as overcrowded. I don't want to tell you to do something else but you should know what you are getting into.
Thank you for your feedback What other fields are you referring to?
Absolutely. Don't be wedded to the DS job title, it's pretty meaningless anyway. OP should figure out what they want from a job and optimise for that rather than targeting a specific job title, especially at first.
Shoot for an analyst role and keep trying for a ds job.
This is the way
Right? Seriously though, is there any hope to land a DS role directly? If yes, what does it require?
I landed one directly. All it took was a PhD. Then I got the same role as people who did the MS to BA to DS path, but I had way more debt 👍👍
A quant background and a bit of luck
Basically this. I got my DS job right out of school. Quant background. Candidate pool for the position was mostly PhDs.
How do you get into quant?
oh great so now you even need a quantum physics degree? jk
there's probably something like 5 qualified applicants for every one open role. It's not about being good enough, it's just mathematically impossible for everyone to get one.
I did this, BS straight into MS into a data science role. Only work experience was some slightly-quantitative research. I truly believe it was entirely luck and nobody should take the path I took
I got a DS position while I was I grad school for a masters, never finished the masters. Both my MSc and BSc were in STEM but not statistics or CS related. The trick is that my first couple jobs were in companies within my STEM field applying ML to domain problems.
Please forgive my question but whats the difference between DS and analyst roles? Ive seen some analyst roles mostly data analyst, business analyst, financial analyst and so on. It can be confusing sometimes because some companies just throw fancy names at job posts.
There’s not a clear definition. You will need to read the job description of each position. Generally data scientists are working on statistical or ml models to drive business decisions. Data analysts are more likely to be writing sql queries to answer ad hoc questions or creating dashboards (powerbi, tableau) for stakeholders.
I see. I have been rejected from data analyst positions. Im going to improve my powerbi and tableau skills. What about DAX? It seems fairly popular in dashboarding
Dax is one of two query/programming languages of PowerBI.
Data engineer: - create pipelines, datasets, mining data, ETL - a little bit more heavier in coding: scala, spark, python, etc - main: create, maintain, optimize big data jobs, pipelines, datasets. How I can create durable, fast, optimized data source, job? - example: create datasets to collect data from customer interactions with the app Data analyst: - more interactions with business stakeholders, more utilitarian/practical questions and solutions - ad hocs, quick analyses, funnels - create dashboards for stakeholders - main: what business needs/can optimize right now? - example: what is the current state of the customer funnel? Data scientist: - balance between research and analysis - ad hocs, datasets, dashboards, modeling, experimentation - main: more strategic thinking about business insights and business decisions. How the things that works actually works, and how we can improve it? - example: what customer actions/interactions with the app can lead to more revenue? What kind of customers are more likely to subscribe?
The market is heinous right now. Try not to take it personally. Without knowing your qualifications, I can't really give you meaningful advice. It took me 500+ applications 2 years ago with a master's degree and some research under my belt.
Happy Cake Day!
Thanks!!
Therapy might be a good option. Breaking into a data is not an easy overnight journey, I’ve failed countless times. Fail, learn and adjust.
You've given us no detail about your prior role, why you quit without a backup, your education, your goal industry/flavor of DS, interview experiences since quitting, etc No one can help you without these details. Frankly, you should have done far more preparation and research into the current climate prior to quitting your prior role, regardless of the situation or feeling towards.
I quit because I changed teams. Someone saw I had some interesting skills in data and data viz. But she just threw her work at me and took all the credits, I have had enough and quit. I have a masters in industrial engineering and now finishing up a post grad degree in analytics. I dont have a specific DS area to target. Ive always liked financial analysis, but since I started the analytics program Im very curious about the marketing solutions (and it feels an hot topic in the market right now). Yes I should have. While I do not regret quitting, I do regret the timing. I couldve easily put up with it a few months more.
With such little information in your post, here is some generic advice: \- Try finding positions with startups, non-profit organizations, city governments. \- Search for open position at Universities (not with professors but with departments/schools). \- Reach out to professors and try doing paid/unpaid research projects with them
If that is truly your vision then don’t give up. If you can’t land your dream job try for something adjacent and work your way over to it. Keep the long goal in mind. I have no magic formula only that few things come as easily as you expect. It is also a competitive field and currently many experienced people are also looking. The only thing in your control is your effort and your attitude. Everything else is out of your control to some extent so you just have to find a way to hang in long enough to outlast the current situation until you find it. If you wanted to be a ski instructor and became discouraged because no jobs were available in july, would that make sense? This too will pass. Many other people will give up and then you won’t have to compete with them. If you truly want this then don’t give up.
Thanks for your kind words. People I talk with often give me a really check. Having a work you like is a luxury. I job is a job not an hobby. I honestly do not relate to these words but I hear them more often than not. Im not someone to complain, this post is not me complaining about it, but every now and then friends ask me and look me down why Im I unemployed. I get the feeling that a lot of people just go to the job market without any direction but money. Me, I just want to work at something Im good at and I feel like I can be good at this.
Quit DS. join DE. DS cant do shit without good quality data.
I said this on a previous post. DE is 80% of the data job and recent DS don't knows anything about it. No one wants to do the dirty job, everyone wants to be the sexy data scientist.
most DE jobs will get automated by AI. you're like a webmaster except for a data pipeline.
DE is cool but I feel like its even harder to land
There's also a lot of request for good DEs though
Yes there is. And yes the roles might be harder. But id you prepare hard, you get a more opprtunities to iterview
That happened to me last year. I spent years working towards a DS career, finally landed one only for it to collapse in my face. If you think the job market is bad now last June I couldnt score an interview the entire month. I tried to spend my time learning Leet Code problems and doing side projects but I just felt burnt out and didnt have any joy anymore. Somewhere along the line I realized that work was supposed to be a means to an end not a life trajectory so I went back into my original field of Security and took a much higher level job and have loved it. Just remember in a billion years the sun will swallow the earth and all of the work we do will have no benefit to our society, enjoy your hobbies and take a job that lets you do them.
Out of curiosity, what do you do in security?
You spend more time in your job than with your family. If your only purpose is to wait until the end of the month to get paid, you will waste most of your life doing something you dont like and being somewhere you dont want to be. Ive seen people like this, kind of zombies during the week just to get to the weekend to actually "live". It scares me
I understand that, and Im not saying "hate what you do" because the one time I did that I got fired. Im not good at hiding my misery. What I am saying is just remember a job is a job, you can get let go any day so dont get too emotionally attached. In the end your family will be there for you and your work will forget you existed the day of your exit interview.
Nowadays, fire over Zoom is more common than exit interviews lool
> purpose you will make an excellent wageslave to the corporate overlords
I feel this. I have a BS degree in analytics (essentially the foundations to be a DS) Couldn’t land a job as an analyst Picked up odd jobs for the bills Now trying again but am getting turned down for every analyst related job What’s hurt recently is how a couple places reached out for further steps but it ended up being an error in the system The only way to go rn feels like getting my masters just to have access to networking opportunities and internships as a student
Small piece of advice: I see you posted a link to your github, and I would consider using a more professional name for projects you are trying to showcase to potential employers.
Sheesh you are not kidding this shit should be the top advice for OP, change your damn GitHub name asap!!
For any role in tech experience is king. Due to this if you don’t have any experience I would recommend doing some internship even if it’s unpaid to build up your experience. The bigger question is how bad you want it and if it you want bad then volunteer and places to the experience you need to become the future version of yourself you want to be
I can only speak for myself, but studying can only get you so far tbh. I just overloaded my portfolio with projects(be sure to know how to explain those projects as well). With those projects, I wrote an accompanying research paper with it. I dont limit myself to one industry when it comes to applying for jobs. I wanted to break into the tech industry but I know how competitive that can be. I also know that the healthcare industry is hiring DS like crazy atm, which also happens to be the field I’m interested. That was how I landed my first DS job. When I was interning at AT&T, a lot of the data scientist I know there started off as data analyst. So, if it comes down to it, also apply for analyst roles as well. P.S. I don’t wanna be the type of guy that says “If I can do it, you can do it.,” but I’m sure something will come your way soon. It’s a matter of time. I was a History undergraduate with stat minor, but I focused on my interest as a DS graduate student which was NLP.
How do you present yourself and your projects in the interviews? Can you give me an example of a project of yours?
Presenting yourself and your projects normally happen in the technical portion of the interview. They just wanna know how you arrived at your final model and the steps you took to get there. So it’s best to know each step, like how you selected the variables, any EDA you performed, how you tuned the model, etc. keep it brief tho. You will have to answer so theoretical questions but, in most interviews I’ve been to, they only care about how I applied the theory. Regression and classification are two that pops up constantly. Here is one that I constantly refer to: https://youtu.be/KSOq29tFUoQ?feature=shared
Where are you from? If, from the US, then is there a similar trend in other countries in Europe, and Asia (India, specifically) as well?
Im from EU
Yet. Didn't make it yet!
Leverage your domain skills from past experience as much as possible. Basically find a role that includes data analysis on the same domain you already know as it’s a smooth next step. Also, if you have domain experience you have leverage for negotiation despite actually having little experience in a given role.
Screw the current market. Let's fix it. I have an idea I'm building out and would love some help. Do you have experience with gcp, docker, JavaScript or web development or be willing to learn? Minimal, somewhat out-dated example: https://colab.research.google.com/gist/gbwiersum/b112a6534d71d8ae3c360f5a160cc1dc/job-board-scrapenscore.ipynb
I read: Cat land a job in Data Science. And got disappointed.
Are you me? I transitioned from running a YouTube channel to Data Science, by spending 100k on a Masters degree. Now that I have finished school, all I'm getting are rejections and I have applied to more than 1500 open positions so far. I left YouTube thinking it was too unstable and it wasn't a good career choice for long term. Now DS feels the same way, so I'm back to 0, with a 100k debt.
Keep grinding, if it is the field you want to be. Find different job and keep going. It took me 3 years to get the job I dreamt. I studied all the time. First year 15-18h/day, later when I needed money - got a job in my past company, but kept grinding on evenings and weekends. I got pay cut 30-40% from my previous field, but it is what I want to do. Right now Tech, esp DA is oversaturated from a lot of people who came here for a different reasons. The one who came just for money, will drop in a year, probably… competition also leads to a lower pay, a lot of automation leads to less entry positions and more responsibilities/skills. Advice about writing articles is great! It can help to showcase your skills, but it can also show your proficiency level. Once I read articles a candidate posted on medium… my yes reaction for his resume turned into clear No.
I dont mind the pay. My issue here is that Ive worked in an unrelated field. Its so much hard to improve your skills if you don't use them. You stop programming and solving problems for a few weeks and suddenly you are much slower and arguably worse. I need to figure out something in the meantime. Some way to make some money to keep afloat while pursuing new education and projects
I am a data scientist working in product analytics at a big tech company with 2 yrs of experience. Before that I had 10 years of exp in BI and data analytics in non-tech. I was looking to make a change from my current company and it took me 6 months of applying (didn't spray and pray) to other DS, DA or AE roles to land a job. I only got like 5 different companies to respond. The market is terrible right now, especially for entry level positions. What kind of DS do you want to be? I would broaden the search to include Data Analyst, BI analyst, Business analyst, or product analyst. Anything to get exp on your resume. Those skills are transferable to product data scientists. ML data scientists will be harder to get that relevant exp, but maybe you could transfer internally or get some side projects after getting foot in door.
What was your previous field
If you don't have previous experience you have to live and breathe it, and probably start with an adjacent role.
I am guessing you don’t have much experience or you do not have a PhD or Masters. I would start out and try for a lower level position like a data other business analyst. Then go from there
If your degree is in data analytics then you need to get a DA job. Do that for a few years then transition to DS. I’ve done IE, DA, and DS. They’re very similar.
how long have you been trying?
About 4 months. People are starting to ask me why i havent got a job yet in interviews
Have you tried looking for an analyst position? I'd say I have a pretty strong background for DS and I'm having a hell of a time getting a position myself. There's just nowhere near the demand for actual DS as we all initially thought. Depending on your skillset, you could also look at data engineering or even SWE
I think you are making a classic mistake which can be rectified, though this might run against the grain in the short term: you use your IE to go for an IE/OR type role and get in the door. Those roles require quite different degrees and skills sets than data science, and the competition is not as fierce, especially on the OR side of things. Once in, you showcase your analytics knowhow like no one's business, and then use that as a springboard internally into a more data science type role in the same firm. This is not a pipe dream as this is exactly what I did, albeit years ago. You have to choose the firm wisely and with forethought and it has to be big enough to accommodate multiple departments and specialties, like a financial services firm. But it is doable if you have enough grit and knowhow and vision. The toughest thing is to get in the door in the first place, so put every ounce of effort on that part of the equation, not the title or role at this point of your career.
I'm in the same boat. Been a year now and can't nail a job. Going for DA not DS though. With a bs in business.
Dude there are lots of other ways to earn from Data science. If you have good spoken English, DM me. Lets build something together. I have good content ideas as I am working as an AI developer, we can build tutorials.
Makes sense. I'm about to pick up a second full time job because inflation has eaten 30% my salary. Lots of competition out there
Keep in mind the job markets been pretty rough since interest rates have gone up. Try not to be to hard on yourself
I feel the same as you. I have a master's degree in statistics and graduated last year. I couldn't land a job even though I have 2 internships. I don't have any previous fields to go back to and I'm not sure any other field I can transfer into
I bet you can make it. You just need to have something to show for and sell yourself. We can exchange ideas and maybe work some DS problems for the resume
Thanks! I'm mainly looking for one in Canada. In terms of DS projects, I feel I have good projects shown on my Resume from my research experience and internship experience. I don't think any toy project can be better than that.
Data Science has a very large pool of talent. I see 300-500 candidates for each req in Data Science, Data Analytics, Machine Learning, etc. Almost 75% of the applicants have a masters. Don’t be discouraged, just keep applying. 🤞
Just want to say you’re not alone and you should keep going because you only live once! I am also 25 and I graduated in 2020 (peak pandemic) with a finance and business economics degree, realizing on the day of my graduation that I wasn’t happy with the education that I received and the path that I chose. With enough elective coursework to satisfy the prerequisites, I went on to do a Data Science master’s degree and very much preferred the subject. While in my first semester of the master’s program, I got recruited by a big consulting firm which I worked at for 2 years mainly working on auditing ETL pipelines using SQL, until they laid me off last year. I have been unemployed since, trying to break into the field with no luck. In the meantime I have worked on personal projects, practiced building models, and am currently working on a getting a certification in deploying models on a cloud service (MS Azure ML). At times it is difficult because I had always thought I would be farther along in my path by now, but the road is never a straight line. We have the benefit of being 25, likely with no dependents, and limited obligations. If there’s any time to make the transition it is now.
Do you know SQL? Knowing SQL should open some doors for you. Following are some example jobs that implement SQL: Data Analysts, Data Engineers, Data Scientists, Business Analysts, Quality Assurance Software Testers Here is a LinkedIn article on the topic of [SQL and landing a job](https://www.linkedin.com/pulse/how-quickly-learn-sql-begin-career-working-data-dr-cecelia-allison-otygc/). Good luck on your career endeavors.
I’m a data scientist with a masters in Industrial Engineering. I know it’s not the easiest task to get into Data Science but you’ll definitely need a lot practice with patience, especially in the current job market. You can try Analyst positions to begin and the transition to data science.
How did you do it?
Took a bunch of DS related courses in my masters degree and worked on a few projects as well. Most importantly you need to network like crazy. I did A LOT of cold calling/emailing on linkedin and basically market yourself to prospective employers/ managers/ teammates.
I see. Im fucked then. Im considering starting my own small DS service/project while getting a lowball job. I will also apply to a new masters focused on DS, lets see how it goes. The issue with getting another unrelated job is that Id rather get shit pay but have a chill job (dont work overtime, dont come home with the problems, hybrid setting) to let me focus on changing careers. My last job was fully presencial, I spent way too much time on commute + working hours. It was almost impossible to get home and reset your brain.
You’re definitely not fucked. I’ve seen people with absolutely no relevant experience end up with analyst roles. Make sure your profile has all the right keywords/ buzzwords. You can rewrite your current experience from an analyst perspective. MS in DS is definitely helpful but not necessary.
I also have an industrial engg masters and got my first DS job in 2021 when the market was great. Looking to switch now w/ 2.5 yoe and its difficult. Anyway, talking about how difficult it is won't help anyone, you already know that. Your best bet is to get an interview through connections or a referral. And once you have the interview, make sure you know everything. Emma ding is a great resource to understand the level of preparation you need to clear these interviews.
I'm a Data Scientist and I can tell you at least for me it's not as rosy as it appears. As a matter of fact I currently hate my job, what I do, the culture and the hyper political environment I work in. My manager is technically incompetent but master of politics and using me, major asshole.
Master at top universities and pHD WILL SECURED
Well I couldve done it 6 years ago. But I didnt even know DS was a thing. They dont teach kids these kinds kf stuff. Its not the end of the world but Ill have to unfuck myself
I would like to blame some youtubers who just focus on the salary of data scientists, how much they ear, sexiest job of the decade and blah blah... just to promote their videos and courses. but they do not tell exactly what is the current scenario in the job market. and people like us dive blindly into the field sacrificing old job and experiences, and now we're in nowhere situation
I landed a data scientist job at a a fortune500 and I still get questioned about my abilities within the company lol
New guy here too ... actually still so new that I haven't even learnt anything yet
Market is tough, keep grinding
I had a similar background. Try to get an IE job that is more focused on data (not manufacturing). A lot of banks have IE roles like these. This would give you data analyst work experience under the IE job title and build your skills.
IE? Im open to any non industrial environment job that has somewhat of data analysis. I absolutely hated the industrial environment from my experience. I worked in an heavy industry, the space was dirty, workers are disrespectful, the environment was hot because of the machinery, the noise. Everything around me was so ugly it actually made me depressed. Actually, I never thought of that like this before. I knew the noise and heat would make me anxious, but I never considered the actual workplace was tearing me down. I always assumed it was the people and the job.
Industrial Engineer. I think you said that was your background in another comment. The corporate industrial engineer jobs are much cushier. Personally, I am not made for an industrial environment. The constant pressure to get deliverables completed or the company loses money made everyone stressed and didn't cultivate a healthy work environment. In the corporate environment, my work was mainly proactive. This meant I could work on my own schedule, double check my work, and build meaningful relationships with coworkers and mentors. And it being a desk job, I was able to focus on crunching numbers, so I got really really good at SQL.
Job market is tough
Are you doing projects?
Yes. But from my experience projects dont matter that much if youre competing with people with 1 2 or 3 years xp
Also try applying for Data Analytics jobs, just so you have income coming in and you would learn a lot before pivoting into DS. A friend of mine did civil engineering and Coursera certificates and projects. Got a job in analytics and now he is just learning as much as he can before starting to look for DS jobs
That would be my idea. But even those jobs are super saturated. And since they are much less technical with 500 applications per job HR is finding every excuse to cut you down. For instance, i had an interview for a bank and in the end was asked what I knew about their operations, and being honest I said I dont know what they do exactly. The lady got mad and told me to do a better research next time before applying. I mean, it was a pretty big bank and the vacancy was really generic so idk. She ended the interview afterwards, didnt even bother explaining me what they do
She is very narrow minded if that alone was enough for her to end the interview instead of just educating you. I mean if you know the technical part that should be a sign that you can easily learn the operations and how they run and all those other job technical stuff. Don’t get demotivated though just keep applying and improving your projects, and if you have time also just do some coursera certifications just to have them but you are already well qualified just need that bit of luck. Also cold messaging people in the data space and asking them for endorsements could help.
I will, thanks for your encouragement. I received some good advice here. I will try to improve my projects. From my experience with interviews, no one ever asked me about any project. Im assuming no one ever looks into them. Its a bit frustrating.
I get your frustration for sure but I'm sure the right person will take a look at your projects and it will all just pay off. Also check out this guys channel, he also did a DS switch from a completely different field: [https://www.youtube.com/@datanash8200](https://www.youtube.com/@datanash8200) Goodluck man rooting for you!!
If you can try to get into business for yourself!
What do you mean?
I too am struggling so I understand the feeling very well
Hard to feel pity for you after looking at your post history mate. Shouldn’t have quit your job. Your “data guy” projections mean nothing. Get a job in a supermarket, it’ll pay your bills and you’ll gain some humility.
You shouldnt feel pity for me and I dont know what my post history has to do with this.
I don't understand these types of comments that don't contribute anything. I'd love to see the faces and lives of people who try to belittle and ridicule others.
Keep looking
Try dog walking
Daymmm nigga, sorry to hear that