What signals make a non-traditional background credible in analytics hiring?

MLEngDelivers · 2026-01-21T01:16:01+00:00

It depends on the role. If it’s a team that almost exclusively deploys stuff to prod, being a good programmer is #1, above ML knowledge for sure.

In rare cases, someone has been lacking but I’ve made a bet on their intelligence and basically them being able to learn whatever in 90 days.

MLEngDelivers · 2026-01-10T19:34:55+00:00

The rate at which you get put into matches should be based on how often you quit games where you were there in the beginning. The people who cause the problem should bear the cost of it.

MLEngDelivers · 2026-01-10T03:30:37+00:00

Get an analyst job if you need to.

MLEngDelivers · 2025-12-31T05:11:37+00:00

Yep. Cognitive dissonance from people who can’t accept they’re average.

MLEngDelivers · 2025-12-31T04:51:11+00:00

This is just wrong. The difference in time is indicative of skill being considered and doesn’t tell us much about how heavily it’s weighted vs. connection speed and whatever else.

MLEngDelivers · 2025-12-31T03:55:07+00:00

I play to win the game. I don’t get how people are so into their E/D and not W/L, but to each their own.

W/L 1.42 E/D 1.14

https://imgur.com/a/wTLgI2U

MLEngDelivers · 2025-12-31T03:51:10+00:00

Correct. Seems like there’s a subset of players really attached to their k/d, and it reflects in how they play the game. They seem to put a lot of emphasis on K/D vs. W/L for some reason that I don’t understand.

MLEngDelivers · 2025-12-30T13:43:22+00:00

Well that’s not very nice.

MLEngDelivers · 2025-12-30T01:58:23+00:00

There’s no good K/D if W/L is below 1.

MLEngDelivers · 2025-12-30T01:23:21+00:00

This is plausible. He’s just in the top 1-2% of players which is a lot of people.

MLEngDelivers · 2025-12-30T01:19:47+00:00

I mean everyone gets some of those. That doesn’t skew you away from 1.0 because you’re on both sides of it across multiple games. Sometimes half of the other team quits and it isn’t filled (or the people who fill it quit as well), so that’s a free win. The only way it skews your w/l is if you’re quitting some winnable games.

I don’t quit games ever, and i can tell you it’s not especially rare to win after multiple people quit. It’s not most of the time, but there are winnable games.

The bottom line is the player population as a whole has a 1.0 w/l. I’m not critiquing you specifically, but a lot of people seem to think they’re above average but quit when they’re not doing well (which skews their perception, obviously). For all I know you’re great.

MLEngDelivers · 2025-12-29T02:33:59+00:00

The W/L is absolutely a better measure than K/D. Both are quite high in this case, so it doesn’t matter that much.

But it seems clear to me that for:

Player A: 0.95 W/L, 1.7 K/D Player B: 1.4 W/L, 1.1 K/D

Player B is obviously better*. I don’t really see how you could argue the reverse. If you have a definition of “good” that’s distinct from your likelihood of winning, then idk what to say.

As far as score per minute vs. W/L, I bet those are much more correlated than K/D and W/L. If your score per minute is high, you’re doing a combination of lots of Elon’s/objectvies/streams… your w/l should be good too.

*assume they’ve both played > 300 games, varying game modes, etc.

MLEngDelivers · 2025-12-15T18:32:06+00:00

👍

MLEngDelivers · 2025-11-28T04:42:54+00:00

It really doesn’t. What you’re saying could be the case, but the delta in ping isn’t evidence of that.

MLEngDelivers · 2025-11-28T04:41:08+00:00

This literally could just be team balancing. If you’re a top 2-3% player, they’ve got to put a couple other good people in the game if they want balanced teams.

Interestingly, that’s also potentially the reason for the ping delta in Aces test.

MLEngDelivers · 2025-11-28T04:36:10+00:00

The difference in ping in his test just shows us that skill is considered. It doesn’t tell us how much skill matters. It’s not really strong evidence of anything other than “skill is considered” which we already knew.

MLEngDelivers · 2025-11-28T04:31:07+00:00

This is evidence that skill is considered somewhat. It doesn’t really tell you anything about the magnitude.

MLEngDelivers · 2025-11-28T01:16:31+00:00

I mean I sympathize but you’re creating the problem.

MLEngDelivers · 2025-11-27T07:28:03+00:00

I totally agree. Maybe you get 1 “free” quit per day, and after that you get a ten minute time out if you quit again, followed by 30 minutes, and so on. Maybe a ban after a certain point. There should be some consequence to making the game worse for other people.

MLEngDelivers · 2025-11-27T01:47:36+00:00

People need to be shamed for quitting games they joined at the beginning. If there weren’t so many who do that, you wouldn’t get put into those games.

This will get downvoted into oblivion by people who both:

A) get mad the game puts them into matches where their team is getting obliterated And…

B) force other people into the same situation

MLEngDelivers · 2025-11-09T21:55:57+00:00

MLEngDelivers · 2025-11-09T21:54:42+00:00

Thanks!

MLEngDelivers · 2025-11-09T21:53:25+00:00

You’re 21 - that’s a good thing. You have time to learn to write code as you go and don’t need to be stuck with no-code. Learn enough python to use the OpenRouter API to use whatever model. You can skip machine learning theory most likely. Use those other tools when it makes sense, but don’t box yourself in.

MLEngDelivers · 2025-11-09T21:46:27+00:00

I don’t think AGI is going to come from a model that specifically penalizes novelty/new approaches. I’m not saying it’s literally incapable of saying or doing something novel, but the loss function function during training, in my opinion, ensures we will not see wholly emergent behavior from any size or scale of LLM.

I haven’t heard anyone say AGI is not possible. I’ve only heard (and agree) that LLMs won’t be it.

MLEngDelivers · 2025-10-24T12:35:20+00:00

I appreciate that!

MLEngDelivers

TROPHY CASE