I see that in the headline from time to time. Not really sure how prevalent it is and it's pretty disappointing news.

but I also can't help but think:

1. the news articles are probably overblowing it and it's not probably not as prevalent as it's being portrayed
2. that any tech company doing that is shooting themselves in the foot. in total, I was an intern at various companies for a little under 3 years. I don't doubt that the work I did for the majority of the my co-ops were all things that could have been done by a chatBot. writing unit tests and small scripts and etc. but they were invaluable to me (1) understanding what is expected of me in a professional environment and (2) gave me a basic idea of how to code in a professional environment (2) gave me alot of perspective on what technologies and tools I should spend spare time learning cause my university very much focused on dinosaur-era languages, for the classes that did teach any coding related skills. same for the friends I went to uni with. So all I think is maybe in the short term, they are saving money on not hiring interns/co-ops/junior devs to do work that can be done by a bot but I feel like in the long terms that will reduce the number of intermediate/senior devs on the market which means they'll be in higher demand and cost more money.

I had heard about GLG a while ago and I was just approached by someone from GLG for a project. Does anyone have experience working with them specifically? I have never done any paid consulting gigs and I want to make sure I understand what I'm getting into.

Thanks!

I did a masters in data analytics, and then the niche I fell into in the working world was building dashboards, reports and spreadsheets of financial data for non-technical bureaucrats. Instead of ensuring data quality by technical means, my current company often just has me manually reviewing and checking financial data. This is pretty frustrating to me because I have no education in finance, and the things I miss or get wrong are so second nature to my boss that he doesn't even see them as something I should have been trained on. The only technologies I use are SQL server and excel. Any proactive steps I've made to automate processes has been discouraged as not worth the time.

I'm aware that most people spend years on tedious stuff before ever getting to work with more engaging technology, but honestly I'm starting to wonder if they've forgotten I'm not a finance guy. I want to move up in my career especially to escape my current role, but I'm feeling completely lost as to how. There's no obvious role in my company that could be a 'next rung of the ladder' to advance into, so there's nobody I can emulate to help chart a course. My boss had an unconventional path to his current role, and isn't really into manager stuff like career mentoring, so he's no help in that regard.

To anyone with experience in data science, what is the advancement supposed to look like? What are the key skills I should be developing? Am I being too averse to learning the subject matter of the data I'm working on? Any insight is appreciated!

I was contacted by a recruiter regarding a job in my field but they wanted someone with data analytics skills. I'm taking this as a sign that I should improve my skill set. Does anyone have advice for where or how to start with a very small budget?

Thanks for your help.

This is my cry for help.

I'm a newer programmer who just got hired for my first actual programming job a few months ago. Before now the only things I really made were simple python scripts that handled database operations at my last job. I live in an area with no opportunities, and so this new job I got is my saving grace at this point. For the first time in my life I can have actual savings and can actually work on moving to an area with opportunities. However...

Everything is falling apart. I have no idea how this place has survived this long. There is no senior dev for me to go to. There are no code reviews. There is no QA. There is a spiderweb of pipelines with zero error handling or data-checking. Bugs are frequent and go undetected. The database has no keys or constraints, and was designed by a madman (so it's definitely not normalized whatsoever). I already have made a bunch of little scripts handling data-parsing tasks that are used in prod, and I've had to learn proper logging and notifications on errors along the way, and have still yet to learn how to do real tests (I ordered a book on pytest that I plan on going through). I am so paranoid that at any moment something I made does something unexpected and destroys things (which... kinda actually happened already).

We're in the long and arduous process of moving away from this terrible system to a newer, better-designed one but I'm already just so lost and... lonely? There's a few separate dev "teams" but one is outsourced and the other is infamously unapproachable and works on a completely different domain. There's no one there to catch me if/when I make mistakes except myself. The paranoia I have over my programs is really getting to me and already affecting my health.

I guess I just want advice on what I should do in this situation. Is this a normal first experience? I care deeply about making sure the things I make are good and functional but I also don't have the experience to forsee potential issues that may come up due to how I'm designing things. And how can I cope with the paranoia I'm feeling?

EDIT: It takes me a while to write responses, but I want everyone to know that I really appreciate all your advice and kind words. It does mean a lot to me! I'm doing my best to take in what everyone has said and am working on making the best of an atypical situation. I'm chronically hard on myself, but I'm gonna try to give myself a bit more grace here. Again, thanks so much for all the thoughtful replies from everyone. :)

I've been a hiring manager before across a few jobs. But, then, I was receiving maybe 50 resumes to screen a week with my recruiter. Y'all are, what, at a few factors to an order of magnitude more than that?

Are your recruiters now pre-filtering resumes before you see them? What is being used to determine whether a candidate gets an interview now?

What I'm seeing:

• Referrals almost never matter: I've gotten two interviews through my network after dozens of applications—and I'm fairly well networked.
• Experience at other well-known Tech companies doesn't get an interview
• Having the right skill set, based on the job description doesn't get an interview.

From the outside, it seems like a coin flip.

Meanwhile, I have LinkedIn's AI advisor routinely giving me flavors of "yes, you're definitely their kind of candidate" yet no responses after weeks followed by the occasional casual rejection email.

So what's happening behind the scenes? How do resumes get on your radar? How do you work from the deluge to hiring a human?

Sincerely,
A very experienced engineer and manager who is rather fed up with what seems like a collection of pseudo-random number generator contemporary hiring processes.

EDIT: I should have also included recruiters in the title of my ask.