apohn

33 ms·

301.
by apohn 8y ago
>Within huge portions of nearby suburbs, you can buy a sizable 3+ bedroom house for <400k in a town with a train stop and a good school district that takes you directly to the office. Not to be a ass, but where? And please don't
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by apohn 8y ago
100% Agree. It's very easy to underestimate the additional pain of commuting from NJ (unless you are talking about Jersey City or Hoboken), especially if you own a home and are paying NJ property taxes.
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by apohn 8y ago
>Making and keeping deals was 15-dimensional chess to them I've supported sales cycles at small and big companies. I think this is one of the best one line descriptions of what really happens when big companies want to "sell t
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by apohn 8y ago
I've worked for companies that got acquired and also acquired other companies. Year 1 is usually nothing and things stay the same unless there is some serious fat that needed trimming. The interesting years are 2 and 3. That's w
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by apohn 8y ago
At least for me, I like having a single computer so I don't have to put any effort in keeping two computers synced. Modern laptops can be 4+ core, 16GB+ RAM, and can handle a lot. At my last job I had this monstrous HP "workstat
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by apohn 8y ago
>I don't think it's merely boredom alone. Being bored / doing nothing at home doesn't feel the same way. At least for me, it's boredom combined with a lack of purpose. If you're doing something boring/
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by apohn 8y ago
>I hear that the median time of service for FAANG SREs is just shy of 2yrs. Dirty open secret if it is true. I wouldn't read too much into this. I've worked at tech companies where 4 years of tenure was considered old and non-
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by apohn 8y ago
Definitely this. I'm in a large org at a large company and there are drastic differences between groups because of managers. Simply changing groups can completely change your experience from a toxic team to a great one or vice versa.
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by apohn 8y ago
Out of curiosity, which industry to you work in? I do agree that modeling is useful in every industry, but there are some industries where it matters more than others.
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by apohn 8y ago
>It felt good to be detached emotionally. Never again will I sacrifice my personal time again at work. Its not worth it to yourself, and also to the company. If you happen to fall into emotional attachment and feeling guilty again, don&#
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by apohn 8y ago
Thanks for the info. Very helpful. >My part of the corp is all software. I was hoping you'd say this. Out of all the places I've worked, two of them were/are huge (250K+ people). For the first, I was in the business side
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by apohn 8y ago
IME another benefit of this is you can attract a more reasonable class of people at work. When you can be manipulated by guilt and "the VP wants this tomorrow, it's high visibility", the most manipulative people in your org a
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by apohn 8y ago
I think the sad truth is that most people learn this the hard way. You care too much until you feel badly betrayed by the company or get totally burned out. Then you realize one of the major causes was the emotional attachment and you nee
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by apohn 8y ago
In trying to find this balance, it helps to understand what you can and cannot emotionally detach from. For example, it may be important to feel you are doing meaningful work. But it's important you emotionally detach from "unde
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by apohn 8y ago
>Taking a chance and joining a very large corporation. I have two questions if you don't mind answering. How large is the company you are referring to? 10K people? 100K, 250K, 500K? What type of company is it? A company that buil
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by apohn 8y ago
>They expect the solution to come without significant investment in data collection. One, even over-paid, data scientist is a far smaller budget than having your dozens of teams make an effort in fixing data collection, and setting up a
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by apohn 8y ago
>A more organic approach would be for teams to start picking up tools and skills for basic data analysis. We used to call it "stats". Doesn't have to be cutting-edge ML stuff to provide value and new opportunities for the
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by apohn 8y ago
>Any advice on how I can effectively jump off the black-lists? Find a decent hiring manager who has actually done some hands on Data Science/Analytics work and knows what skills/thinking are actually required. Lots of Data Sci
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by apohn 8y ago
>(1) If you're going to hop on the 'hot' AI/ML/DS bandwagon, make sure that you actually have 'work' for the highly coveted person you are trying to hire. 'Everyone else is doing it', 'al
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by apohn 8y ago
>I find it amazing that Linear Regression in scikit-learn doesn't return standard errors/t-scores for the coefficients. It's less surprising when you see how some people work with these types of models in Python. They min
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by apohn 8y ago
One of the reasons R has been popular among social scientists is that you have libraries dedicated to statistical methods that are less common in Python. Examples include Mixed Effects Models, Hierarchical Linear Models, Psychometrics&#x2F
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by apohn 8y ago
>This is often not a good sign, i.e. if the code is so messy no one can understand it. But if it's so technically challenging only him can understand, then that's a great position to be in! What he built required specialized kn
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by apohn 8y ago
This doesn't directly answer your question, but there is some silliness in the way some large companies hire contractors that typically prevents an individual contractor from making more (including benefits) than an employee. I know s
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by apohn 8y ago
>My theory on larger organizations having this issue is that there's quite a lot of bloat and a lot of fear that if you're not doing anything, you will be restructured. Personally, I don't blame the teams who act and behav
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by apohn 8y ago
>That and having longer meetings/workshops to really talk through all the details as opposed to 30 minutes catch up everyday that involves multiple context switches. Thinking back on my experiences, this is a gem of an observation.
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by apohn 8y ago
Rather than thinking of Data Science and SWE as two different fields, think of Data Science on a spectrum, with "Advanced Data Analyst" on one side and "SWE/Machine Learning Algorithm Engineer" at the other. Data Sc
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Ask: What Are You Experiences as a Manager at Small, Medium, and Large Companies
23 points by apohn 8y ago|5 comments
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by apohn 8y ago
It's on Glenwood near Crabtree Valley Mall. Something I just realized is the group that owns Sawasdee Glenwood doesn't own the Capital location. I would have sworn that when the Glenwood location opened it had stuff in the restau
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by apohn 8y ago
Sawasdee in Raleigh (both locations) is good as well.
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by apohn 8y ago
Imagine somebody else had written your post on HN. What would you say to them? Would you tell them to stay? You clearly aren't getting what you want for your career. Move to a place that is aligned to what you want. Having a boss yo

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