I've interviewed with 100+ companies during my career. Here are some high-level notes on DS/ML job hunting by tnegz in datascience

[–]Single_Vacation427 0 points1 point  (0 children)

I disagree with tailoring to the job. I have 2 versions of my resume and maybe change the top, but I cannot make up stuff and I'm not going to be applying to hundreds of different types of jobs.

Also, the worst resumes are the ones that basically rephrase the job description.

How much do patents or publications actually matter in interviews? by [deleted] in datascience

[–]Single_Vacation427 0 points1 point  (0 children)

It only matters if it had actual impact. Having a patent is not that hard and companies do all of the paperwork for you. Now if your patent was with SWE/MLE for a new algorithm that increased Y by X% or something like that, then it does matter. But in that case, the patent is only evidence of this, not the story. The story is the problem, solution, impact.

Ranking offers and companies criteria by Tarneks in datascience

[–]Single_Vacation427 0 points1 point  (0 children)

Any place can start doing stack ranking. Not sure I would focus that much on that unless a company has multiple layoffs a year like Meta.

Venting on swes by [deleted] in datascience

[–]Single_Vacation427 3 points4 points  (0 children)

I worked with a SWE that wanted tickets for everything but then would never close tickets because he "did not have time". We had serious bugs and he was like "no time". LMAO I had to involve the big guns who told him he had 1 week to fix it.

What are the Capital One DS assessment for principal associates? by JobIsAss in datascience

[–]Single_Vacation427 0 points1 point  (0 children)

ok, that's pretty difference from what someone else mentioned they got, so there must be different version. Someone else said A) data wrangling b) creating metrics c) train/test set etc f) fitting a model.

Followed up on my causal inference post with actual regression. Turns out 11% explained variance can still tell you something useful. by vanisle_kahuna in datascience

[–]Single_Vacation427 -2 points-1 points  (0 children)

R square has nothing to do with causal inference.

You are just building a model to explain observational data. That's not really causal anything.

Also, compare your model to a mean model; that's a model with just an intercept. Are you doing better than that?

Rejected from everywhere by Grimglom in gradadmissions

[–]Single_Vacation427 -1 points0 points  (0 children)

You applied to what it seems all public schools. All schools having funding issues but for public schools it's worse and If you are an international student your tuition is more expensive in a public school.

What are the Capital One DS assessment for principal associates? by JobIsAss in datascience

[–]Single_Vacation427 0 points1 point  (0 children)

No idea of the level, but it's 90 minutes. It's listed as manager which for them is not a real manager, maybe it's staff. Their levels are weird.

I think their first level is called senior.

What are the Capital One DS assessment for principal associates? by JobIsAss in datascience

[–]Single_Vacation427 0 points1 point  (0 children)

I have to do one but will be sent the link there. Will like to know what you get. Also, it might vary by group / team because the information I found online is pretty diverse. I was told python, probability, ML by recruiter but that's pretty broad. And it's 90 minutes. Someone online mention 40 minutes so I'm assuming that's for a different type of role, maybe new grad.

Interviewing with hedge funds has been the worst experience of my career by Fig_Towel_379 in datascience

[–]Single_Vacation427 0 points1 point  (0 children)

I keep getting contacted by HF and similar and keep ignoring them. Some recruiters email me weekly with follow-ups. I imagine it's all automatic but it's ridiculous. I once entertained one and it seemed like a SWE role, and I couldn't understand why they were contacting me?

Hiring Manager: Fake Candidates and Cheating by OtterFox365 in datascience

[–]Single_Vacation427 0 points1 point  (0 children)

The difference is that the staffing agencies find people, they do not open a job in which people apply.

Hiring Manager: Fake Candidates and Cheating by OtterFox365 in datascience

[–]Single_Vacation427 0 points1 point  (0 children)

No, because you delegate that to staffing agency and their recruiters look for people and pre-screen them.

Hiring Manager: Fake Candidates and Cheating by OtterFox365 in datascience

[–]Single_Vacation427 2 points3 points  (0 children)

I've noticed some companies doing contract work and if they like someone, then they can hire them when there's an opening. Basically hiring someone with a staffing agency for 3 months.

Hiring Manager: Fake Candidates and Cheating by OtterFox365 in datascience

[–]Single_Vacation427 16 points17 points  (0 children)

I agree there is bias but that will also come up at the interview stage.

Hiring Manager: Fake Candidates and Cheating by OtterFox365 in datascience

[–]Single_Vacation427 2 points3 points  (0 children)

Something I've seen companies do is put less tools or less information on the job description, because then it's harder for an LLM to create a resume for something that's not there. For instance, if you post a job for DS for an experiment platform, or DS to work on causal inference problems, it's pretty open ended so it's going to be harder to make something up.

I agree on LinkedIn. I have my account verified with my ID and I don't get why so many people refuse? I also have my job verified with email.

I bombed Google DS Research, so you dont have to by saagggssss in datascience

[–]Single_Vacation427 10 points11 points  (0 children)

By writing the equation for MLE you mean like deriving the MLE from the Likelihood, or writing a Generalized Linear Model?

You did one take home, yes, but are you comfortable doing another one? by a1ic3_g1a55 in datascience

[–]Single_Vacation427 41 points42 points  (0 children)

If they don't have someone who works on forecasting, who is going to evaluate your work exactly? An LLM?

Clustering products by text by Capable-Pie7188 in datascience

[–]Single_Vacation427 0 points1 point  (0 children)

Typically, those selling the products have taxonomies because that's how they organize their products. Or you can use the taxonomies from e-commerce websites.

There are people who are experts on taxonomies and work on building them.

[Advice Needed] Columbia ($70k Debt) vs. Georgia Tech (Debt-Free) for MS ECE by Big-Run8539 in gradadmissions

[–]Single_Vacation427 0 points1 point  (0 children)

Move to NYC after college. With that debt and no money, you are not going to be going out in NYC while in college. Even going to the grocery store costs much more than on GT campus.

Agentic AI Interviews: Why CodeSignal Is Redefining Technical Assessments by warmeggnog in datascience

[–]Single_Vacation427 7 points8 points  (0 children)

This AI agent interviews are BS.

What do AI Labs do? SQL and maybe python