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apohn

HN member
Joined
Mon, Jan 11, 2016, 7:17 PM UTC
HN karma
1,984
Public activity
460 items

About apohn

Doing data science stuff - mostly in code, occasionally in PowerPoint

Recent public activity

  1. comment
    Comment #37124634

    While I generally agree, I think there's a point in these 2 statements that can easily misinterpreted. >It is likely that the Data Scientist role is in a long term decline... Also …

  2. comment
    Comment #37123151

    >With 10+ years in DS, I've always felt that best DS were always basically software engineers that knew math and were more interested in prototyping cool machine learning product t…

  3. comment
    Comment #34707777

    There might be a lesson from history on where an "AI" startup needs to focus if they want to succeed. Starting around 2012, there was a huge hype around ML. Lots of startups on sel…

  4. comment
    Comment #34552655

    One of the ways I think about this type of problem is by asking "You want to use computation to extract a signal from this data. What's that signal worth to you in business ROI dol…

  5. comment
    Comment #34552571

    >This couldnt be further from the truth. I think one thing to keep in mind is that there are specific use cases where the cost of using DL isn't worth the improvement in accuracy (…

  6. comment
    Comment #34521906

    >But (especially in Enterprise B2B) they're not coders, and they're not product managers, and they are not quite salesperson "enough" to qualify for evolving to any of those career…

  7. comment
    Comment #34441976

    >Probability Through Problems First time I'm hearing about this one, thanks for the recommendation. Unlike Calculus or even a typical one semester Statistics course, probability is…

  8. comment
    Comment #34433746

    In the last 5 years I've moved from Data Science Manager to Principal (IC role, but basically the external facing technical lead of the team) and now Senior. When I add up all the …

  9. comment
    Comment #33811407

    >But it also (1) helps keep bad content off of the platform, so users aren't exposed to it, (2) lowers the number of human reviewers who come into contact with it, which is improve…

  10. comment
    Comment #33807565

    >But I also think there's a lot more opportunity in using statistics/ml/data science in the top line than most companies practice. I consider myself a fairly honest Data Scientist,…

  11. comment
    Comment #33807420

    >I genuinely do not understand the logic of cutting this team to save costs. I've been in a situation where a company was under pressure, was trying to make a big pivot, and there …

  12. comment
    Comment #33805905

    It's possible to have teams that save millions of dollars a year and not be worth it to keep them. For the sake of argument, let's say a statistics team has 5 people. Cost of Emplo…

  13. comment
    Comment #33805290

    I work in the field of Data Science and one upsetting reality has started to sink into my mind over the last year. In a business there is top line and bottom line. There are a lot …

  14. comment
    Comment #33791080

    IMO the reason behind this is that a lot of "data science" driven decisions are short term decisions. So you can look at something on a PowerPoint, not really care if it's wrong un…

  15. comment
    Comment #33788922

    >Meaning you could absolutely suck at your job or be incredible at it and you’d get nearly the same regards in either case. One of the things I don't like about statements like thi…

  16. comment
    Comment #33787957

    IME, this is the difference. Data Engineers are the people who take raw data (e.g. what lands in S3) and put that into data systems that can be used by other systems (e.g. Dashboar…

  17. comment
    Comment #33787682

    >One extremely frustrating aspect of plant meat is that they tried to aggressively push out traditional veggie burgers on restaurant menus. The homogenization of veggie burgers int…

  18. comment
    Comment #33777755

    >I'm happily doing mostly data engineering + stakeholder management instead of hyperparameter tuning. Agreed. I actually like that in DS you can have a job where you are involved i…

  19. comment
    Comment #33777662

    >Where will that leave people trying for either ML engineer or more data analysis focused DS roles? Or even just everyday utility scripting/automating powers? Can even the latter t…

  20. comment
    Comment #33777373

    IME the core issue here is that there are far more SWE jobs than ML/DS jobs, which leads to a far greater variety of SWE jobs, which means people are better able to find SWEs jobs …

  21. comment
    Comment #33720742

    >The last thing I want to do with my time is read data science and ML blogs and newsletters which are guaranteed to be 95%+ crap that's either irrelevant to me, wrong, useless or p…

  22. comment
    Comment #33682400

    I've also seen a new title called "Applied Scientist." I think at a particualar FAANG company (I don't remember which one), Data Scientist = Insights+Reports, Applied Scientist = B…

  23. comment
    Comment #33681505

    >I’d rather work on a project that builds something and the effort accumulates into something more tangible than an analysis report. Before deciding to become a Software Engineer I…

  24. comment
    Comment #33642322

    >For the greater world I'd say definitely. Could you elaborate? I honestly don't understand... The effects of subprime crisis was not limited to the US. And instead of people not b…

  25. comment
    Comment #33641516

    >Opendoor: "the most challenging real estate market in 40 years” Didn't the subprime mortgage crisis happen in 2007? The current situation is worse than that???