As a data scientist in healthcare rather than tech, I remember hearing about all the layoffs broadly, but I never saw them in my own field. Consider applying to hospitals, especially university hospitals.
Does the healthcare experience have to be current? I have experience with Cerner and EPIC but no certs in them. I was more of a systems analyst when I worked at a large hospital.
It might vary on your experience and industry. Despite having several years in Data Analyst positions and some work in hospitals and biotech I have not received any response from any of the medical or hospital networks for even entry level roles that paid less than half of my previous position.
Never underestimate the power of networking. I feel like the luckiest guy alive right now, I applied to a total of 5 jobs after my bachelor graduation in CS and thanks to a friend I met at my university from Spain who was already working in a big agency, I was able to get a data analyst & programmer remote position in his company.
Disagree. Friends and networking are not the same thing at all. Network is something akin to exchanging business cards. I would never give preference to someone that a current employee met through networking, but if it is a long time friend of his or hers, that is completely different.
@@michaelnurse9089 You can still get referrals at companies with referral systems. It will just give you an interview, but still something. So networking can still be beneficial.
@@michaelnurse9089you’re the exception. Getting a job through a network is 50x easier than throwing applications at the door. You always get moved to the front of the line.
Another thing is as data skills become more in demand, many jobs don't have the title of "data _____" but the jobs themselves are heavily data focused. So rather than searching for a data title, try look for data job descriptions.
Second this. At my company none of the data science jobs actually had that title, instead the role name was functional. For example a common title was “product insights and analytics manager”. Given the job descriptions usually didn’t contain the word data science in it. But it was definitely a data science job.
Thanks for helping out and diving into the data, Ken!! I've been getting a lot of questions about the job market so it's interesting to see these insights of the downtown in May to the increase during the Summer. Things are looking good for us Data Nerds!! 🤓
I think people should broaden their search on what types of data jobs they are looking for. Data Science and Data Engineering are more advanced roles...it may help to go after adjacent roles like Data Analyst, DBA, python dev, Web Development, SQL Dev, IT Support/Admin, etc
Hello! I'm 20 years old, living in Spain, and I've been studying data science for about 3-4 months. I've never been in a work position before, and I'm considering that the best approach in my situation is to strengthen my profile to be able to work online consistently (this would give me an advantage to live in more affordable areas in the vicinity). Indeed, as you mentioned, I believe I need to consider expanding my possibilities to achieve my priority. Do you have any suggestions for quickly finding a job that has the potential for remote work in the future? Thanks!
As someone who took a job for an IoT sounding project that then turned out to also turn me into a data engineer/scientist, database dev, software architect, ux designer and required minor knowledge of other fields (also collecting requirements, presenting, talking to future users...), I don't really see how you could fit into a job without being able to look at other fields too. Are there actually jobs that make you do just one thing?
As a full stack software engineer who feels concerned that LLMs and generative "AI" are a significant factor behind the downturn in demand for software dev roles, I have to admit... I'm kinda surprised to hear that demand for data scientists has dropped so much as well. I figured that you folks would be in super high demand right now.
@@KenJee_dsIts very confusing for me too... I think what's happening is the companies are hiring people straight out of Uni or based on published research
For data people looking for a job, rather than doing your 20th coding based udemy course, do some on business and or seek some type of business certification. Especially if you’re interested getting a data gig with a consulting firm.
There is saturation in the market but also heterogeneity in the profiles. The more there will be people looking for jobs, the more employers will use severe criteria to select who they want. Having a masters works better than bootcamps and self taught skills. Having a portfolio works better than just having a good cv. Having some topic expertise on the data at hand (some behavioral science skills, or marketing skills...) is better than being a pure data scientist. It's not about being actually better... but about seeming more adequate to a recruter.
They may be rebounding but they have so many people applying that the market is over saturated. Hopefully, that changes as we go into the fall and into 2024. I’ve been job searching since February and it’s been the worst job market I’ve ever experienced.
It was a job a couple years back, then 1 million people signed up for the MOOCs and every second person working in back-office could claim to have 'data analysis'.
Hi ! Thanks for uploading this ! I will be soon in professional retraining to become a data analyst and I’ve started watching videos like yours cause the way to be employed seems to be full of hardships. I live in France and data driven enterprises are not overwhelming the market yet so I truly hope finding jobs and being employed in future years.
When I changed careers and got into data, I immediately knew it was a big mistake. It’s a big black box and no one understands it. Companies have probably been burned and don’t see a point in investing.
I talked to a local recruiter in one of the EU countries. The same situation is here. Companies were firing a lot during winter and spring, and now they are slowly starting to recruit. So, just keep calm and wait. The situation should change sooner or later.
I'm pursuing a bachelor's degree in computer science (my aspiration is to be a data scientist). Basically, in order to survive in the 21st century world of data, you have to know how to build the technology, manage it, implement it, and monetize from it. These companies used all of the talent available to build their infrastructure and the talent was discarded.
@MrVenky-mg9ob for a data scientist you need a masters degree in stats/computer science/math/physics or at the very least a bachelor's but that's very rare. Data analyst, you typically only need a certification
Very timely information. I moved from Australia to the US and have had a difficult time finding anything. It really is difficult to start over in another country with no established network. I've heard job searches are traditionally slower in the summer due to people being off on holiday. but have been getting more pings from recruiters recently. The info about roles was helpful as I've felt like a chameleon not sure whether to focus on DE, DA, or DS roles or even my old role of BA and QA. I also have degrees in CS and DS.
Currently holding a job in non-data field, while doing a data science course at same time, my interest has weaned off lately. I bought into this hype like an idiot, even senior data scientists with half a decade of experience are finding it extremely hard to find a data science job after being layed off at previous workplace. Money essentially wasted, i'd love to keep doing projects but they don't feed the family unfortunately. Can't keep doing them till oblivion if most companies are not ready to hire freshers regardless of their projects and leet codes apart from the course.
The issue I find is that they are hiring a junior but they want the experience of a senior. All the “entry level” jobs I find request 1-3 years of experience. Out of almost 70 applications I have only gotten 3 interviews, well I’m about to do the third this week and I hope it works out. Out of all of them I could only get data entry types even though I have a data science degree. Though I’m hopeful that I will find something eventually, I work on projects so I can have experience
The solution is simple, just let the bubble pop. Companies are seeking for thousands of seniors DS/Engineers/… and of course the current job market cannot supply that amount of professionals right now. And without giving opportunities to new comers, it will never be. Companies are right now in the Egg and Chicken dilemma. Once companies realize crazy salaries doesn’t justify anymore super seniors professionals, then they will give another change to juniors
I feel not enough analysis takes geography into consideration. The job market in a place like Boston could be completely different then somewhere like Denver.
I agree, however, I think it is slowly becoming less relevant with increasing remote jobs. This data was quite difficult to parse out the individual states, so I had to aggregate. Will try to look at individual markets in the future
+1 to the contractor video. Right now it seems like the rates for contract work aren't great although some of the contractor firms offer benefits to offset that.
Love your video, I'm from a 3rd world country Nigeria 🇳🇬, started coding python when I was 15 but wasn't consistent because of crypto trading, tho I have a degree in CS. I learnt data analysis last year but I had to switch out very fast to become a full stack web developer (something I have experience in) I honestly wanted something that's not really technical and won't stress me ... Truth is data analysis as a career is overrated, I feel into the hype... Data analysis should be an ad-hoc skill in any field, I feel career prospects in data analysis is pretty low.. Data scientist and data engineering is wayyyy better for someone looking for stable job, stable pay and career prospects
Looks like it’s also possible that the Fang group is preparing for or currently integrating localized version of ChatGPT so they are firing to do more with less. Because business. Lol.
I wouldn’t discount it. From most of the people I’ve talked to, there is still a lot of hesitancy from big companies to truly adopt Chatgpt and some major struggles doing it locally
I think that cs isn't gonna be a valid option from now on. It's been the most mainstream degree for the past 10 years. That happens with every industry. The IT industry was red hot from 1995 to 2000 and then went bust in 2001, Oil drilling was on fire from 2010 to 2014 and is now in dangerous territory. Noone tells students that the real world depends on the capital flow into and out of markets
Interesting perspective! I think that CS will eventually enter some sort of downward trend, but I would imagine it would be longer than 10 years. I have no clue though lol
Papaya, I have been trying to move from education into data analysis since last November. I started applying for jobs in March. I had many interviews up until June, then absolutely nothing since. It just died.
@@KenJee_ds i wonder what can new data science graduates do even for entry level positions as they are asking for minimum 2-3 years of experience! It's insane!
The tech gold rush is over. Anybody telling you otherwise is trying to sell you the shovels. Only pursue a data science role if it’s something you’re very interested in. There’s many other roles out there where you can make more money, so don’t try to gold rush this sector anymore.
I agree with this. I don't recommend going into data science for the money. It is really tough to keep continually learning if you're heart isn't in it
Interview query CEO is a great guy. One of my friends worked for him and I got to chat with him a few times. He’s really a gem of a person. His LinkedIn posts, on the other hand, ….
I think that to make a statement you have to also analyze the demand for jobs. For example, we now know that because of the massive layoffs in tech there is a new pool of thousands of experienced and competitive data scientists competing for the jobs. I think the data at least should include the number of applicants per job overtime.
Actually all that hype worked out exactly how the corporate world who spurred it wanted for it to work out. They convinced a generation of bright young minds to all learn the same skills, so now the companies have pick of the litter. And since the supply is so abundant, they don't have to offer competitive wages. They can just toss out their current engineers and replace them with cheap young new grads at the drop of a hat. They created an environment wherein candidates have to fight for the few available positions, rather than the companies having to fight for the few available qualified candidates.
Hello, I am studying a BS in physics with data science as a minor. I want to get into employment as data analyst right after graduation (I have 2 more years left). What is your best advice?
Hey, Ken. Great video! For my own experience, I've extended 3 job offers for data scientists in the last 12 months, I am in the Fortune 300-level insurance industry.
Yes, please to a video on the contract side of things. Contract roles have been the bulk of more promising job interaction my friends have had over the last 6 months and I'm curious if they are the new norm (along with offering no benefits). Thanks for all the great information! Be well
The number of data analytics recruitment is increasing in Canada actually. So, I guess, if you apply to data analytics roles instead of data science roles, you're more likely to get a job.
I am unemployment. My english is not fluent. I have to find a tech job in 3 months. Which one is better for finding job these days in texas, frontend or data analyst?
I would to add there’s a rise of job posts for Analytics Engineer. The duties and responsibilities are a mix of data engineering, BI, database management, and data analytics.
I was affected by massive layoffs as a former Big4 tech consultant. I earned the title Senior Data Scientist but it seems like I am overqualified for the positions in the market. I positioned myself to focus on social media and build my own LLC, Originality Works LLC. I want to see how it goes being on my own but for now, the job market seems terrible.
What is the best way to learn deep learning fundamentals via implementation (let's say pick a trivial problem of build a recommendation system for movies) using pytorch in Aug 26, 2023?
Big tech is all that makes the news and people tend to incorrectly extrapolate this to every other industry. It's not surprising but thankfully incorrect. My life hack here is to pay zero attention to "the news". 😂
This falls into the came category as these jobs. ML Engineer roles were included but made up a smaller portion of jobs than data scientist, data analyst, and data engineer
@@KenJee_ds Does it mean that data scientist is not a good career for the futur ? Next year I will get my degree in ML here in Canada. I was confused about your highlights. Please let me know and thank you in advance.
Thanks for the content! I've been studying data science for a few months and I'm about to build my portfolio, even though I lack formal degrees. My top priority is strengthening my profile for remote work availability. Should I apply to similar sectors as well? Is it advisable to pursue job opportunities that list educational requirements, even if I don't have them? Thanks!
My view is that when market demand exceeds supply like a few years back - ignore requirements. If supply exceeds demand they are getting a 1000 applications and they will filter using software anyone who does not straight up meet the requirements. You can apply, but make sure you spend 5 minutes applying and not 5 hours, and make sure you don't count it as an actual valid application in counting your rejections.
I agree with @michaelnurse9089! I would also say that if you're going to ignore requirements, I'd go straight to the source with cold email or direct reachout to a recruiter. If you go through job boards, you will likely just get filtered out
I think one opinion that might help also is scaling up to roles where data can be applied to other fields. Like theres a difference between physics and industrial physics.
I have a playlist called data science beginners that you can check out! I also have a video coming out next week with all my recommendations for how to apply in a down job market! Please stay tuned
