Recent comments in /f/dataisbeautiful

eatstoothpicks OP t1_jbaefnm wrote

I have also seen salaries steeply declining. And ultimately it's not going to serve the hiring companies well. They'll save a little on the front end but they're either not going to get quality people or they're going to get people who aren't particularly enthusiastic to be there. Neither is good.

Keep your data and please publish it. As things tighten up, we all need to know the realities of what we're dealing with.

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eatstoothpicks OP t1_jbae3hv wrote

A good buddy of mine (who knows a lot about these things) has always told me: Never use your own money. Use the Bank's money. I mean, I guess you have to have a little money of your own.

Why not start with an online bookstore? If you specialize in hard to find books that would be really super cool. And it would require much less overhead. I say start as a side hobby and see what happens. I've got some ideas of my own I'll be exploring soon.

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eatstoothpicks OP t1_jbadugg wrote

Honestly, I just use a Google sheet (spreadsheet). Columns are: Date, Job Title, Company, Job Level, Website Applied Through, Expected Response Date (calculated based on an average response time which is about 2 weeks), Initial Response Date, and then multiple columns for date and description of each interaction.

I'm sure there are automated tools for this kind of thing, but I prefer the manual method as I can control and manipulate the data more. I have other columns for counting being turned down, counting response types and counting interview types.

It might sound more complex than it is.

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eatstoothpicks OP t1_jbad0p7 wrote

I agree on most points. AI and ML are definitely considered "nice to have". The funny thing is if a company has a reasonably good core analytics implementation, they're more able to see problems coming and adjust for things in advance. Sadly, most companies don't have good core analytics and so aren't well-armed against the ridiculousness of modern life.

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TwoPintsNoneTheRichr t1_jba4u0q wrote

Sedentary job + sedentary hobbies/preferred casual time has been killing me for 10 years. My phone pedometer rarely goes over 2k steps for a day. I'm gonna die early if I don't fix my shit...but change is hard. The crazy thing is that ~12 years ago I was 70 pounds lighter, loved working out, didn't really drink alcohol, and generally viewed food as fuel rather than pleasure/comfort.

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AverageAustralian111 t1_jba1v78 wrote

It could be just that these things happen, the EU also has over 1,000 derailments a year. It seems to me like this is just the norm and because a particularly bad one happened over there recently, everyone is paying attention

Edit: as u/nac_nabuc has pointed out, this is counting fatalities, not injuries, I must've just misread the data.

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tristanjones t1_jb9wdqe wrote

Companies are definitely tightening the belt strap as they expect the economy to slow down, and at the least as money becomes more expensive so they need to manage their debts and investments better. Lots of analytics work is sadly not considered as fundamental to core operations and so often a place that feels this pain more.

In the latest reorg I had the option of moving to a fancy new AI/ML team or a very boring data tagging and implementation team. I took the latter knowing full well it was seen as a critical requirement, where the AI/ML analytics insights team is more of a 'Nice to Have'. I'm pretty confident that there will be a new series of layoffs at my company end of spring early summer, and I would not be surprised if I survive them entirely based on what team I chose.

That being said, it can also get harder as you advance in your career, there are less and less overall positions as you move up to more senior roles. The industry is still fairly young all things considered but we do have a much larger generation of experienced individuals in the field than we did even just 5-10 years ago.

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Poke-Party t1_jb9ps1p wrote

I mean kinda. The highest density meteor strikes are in the central US, which many parts have very low population density. My guess would it could also have something to do with great visibility of the sky/ fewer trees to block viewing further away and closer to the horizon.

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